Aptima, Inc.

United States of America

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2026 August (MTD) 1
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IPC Class
A61B 5/00 - Measuring for diagnostic purposes Identification of persons 7
G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions 7
G06Q 10/10 - Office automationTime management 7
G06N 5/02 - Knowledge representationSymbolic representation 6
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NICE Class
42 - Scientific, technological and industrial services, research and design 29
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35 - Advertising and business services 17
41 - Education, entertainment, sporting and cultural services 4
Status
Pending 10
Registered / In Force 85

1.

State assessment system and methods of use

      
Application Number 18067554
Grant Number 12708292
Status In Force
Filing Date 2022-12-16
First Publication Date 2026-08-18
Grant Date 2026-08-18
Owner Aptima, Inc. (USA)
Inventor
  • Fox Cotton, Olivia
  • Lucia, Lisa
  • Coker, Jordan

Abstract

A state assessment system is provided to determine a state of a subject with an analytics subsystem based on data from a physiological sensor. In some embodiments, the physiological sensor is a fNIRS sensor and the analytics subsystem is configured to determine a hemoglobin measure from the physiological data, determine a neural activation measure from the hemoglobin measure and determine the state of the subject based on a physiology/state model and the neural activation measure. In some embodiments, the physiology/state model is trained by monitoring the subject with the fNIRS sensor and performing a Continuous Performance Test (CPT) to determine attention data and performing an n-back task to determine workload data. In some embodiment, the state of the subject is an objective measure of one of a vigilance measure, a response inhibition measure, a resilience measure and a workload measure.

IPC Classes  ?

  • A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
  • A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

2.

Miscellaneous Design

      
Serial Number 99862722
Status Pending
Filing Date 2026-06-03
Owner Aptima, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Application service provider featuring application programming interface (API) software; Providing temporary use of online non-downloadable computer software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing temporary use of non-downloadable cloud-based software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing temporary use of non-downloadable cloud-based software for connecting, operating, and managing networked sensors in the internet of things (IoT); Software as a service (SAAS) services featuring software for ingesting and normalizing secure real time data to deploy analytics and decision support; Application service provider featuring application programming interface (API) software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing on-line non-downloadable software for receiving real time data to provide computer based analytics and decision support; Providing subscription-based temporary use of on-line non-downloadable software for receiving real time data to provide computer based analytics and decision support; Software as a service (SAAS) services featuring software for receiving real time data to provide computer based analytics and decision support; Application service provider featuring application programming interface (API) software for receiving real time data to provide computer based analytics and decision support

3.

IRONPIPE

      
Serial Number 99762774
Status Pending
Filing Date 2026-04-14
Owner Aptima, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Application service provider featuring application programming interface (API) software; Providing on-line non-downloadable software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing temporary use of non-downloadable cloud-based software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing temporary use of non-downloadable cloud-based software for connecting, operating, and managing networked sensors in the internet of things (IoT); Software as a service (SAAS) services featuring software for ingesting and normalizing secure real time data to deploy analytics and decision support; Application service provider featuring application programming interface (API) software for ingesting and normalizing secure real time data to deploy analytics and decision support; Providing on-line non-downloadable software for receiving real time data to provide computer based analytics and decision support; Providing subscription-based temporary use of on-line non-downloadable software for receiving real time data to provide computer based analytics and decision support; Software as a service (SAAS) services featuring software for receiving real time data to provide computer based analytics and decision support; Application service provider featuring application programming interface (API) software for receiving real time data to provide computer based analytics and decision support

4.

THE FUTURE IS HERE, AND IT'S HUMAN.

      
Serial Number 99492951
Status Pending
Filing Date 2025-11-12
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer hardware and recorded computer software programs sold as a unit for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; Recorded computer software for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; Downloadable computer software for computer-based training, data capture and performance measurement; Recorded computer software for computer-based training, data capture and performance measurement; Downloadable computer software for modeling, simulation and cognitive computing; Recorded computer software and hardware for modeling, simulation and cognitive computing sold as a unit; Computer hardware and recorded software systems for computer-based training, data capture and performance measurement; Computer hardware and recorded software systems for modeling, simulation and cognitive computing; Downloadable computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Recorded computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Recorded computer programs using artificial intelligence (AI) for modeling, simulation and cognitive computing; Downloadable computer software using artificial intelligence (AI) for modeling, simulation and cognitive computing; Downloadable computer software for pictures into an interactive delivery for multimedia applicationsthe integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications Business consultation; Business consultation in the field of human performance and augmentation; Business consultation in the field of human-machine teaming implementation; Business consultation in the field of artificial intelligence; Business consultation in the field of learning and training development; Business consultation in the field of systems engineering; Business consultation in the field of machine learning; Business consultation in the field of human factors; Business management and consultation in the field of human factors; Business management and consultation in the field of human performance and augmentation; Business management and consultation in the field of human-machine teaming implementation; Business management and consultation in the field of artificial intelligence; Business management and consultation in the field of learning and training development; Business management and consultation in the field of systems engineering; Business management and consultation in the field of machine learning; Business management and consultation in the field of human factors engineering Entertainment services, namely, an ongoing series featuring commentary, interviews and information in the field of current events in science, technology, engineering, research and development, and business provided through podcasts, websites, web-based applications, mobile phone applications and computer networks; Entertainment services, namely, providing podcasts in the field of current events in science, technology, engineering, research and development, and business; Educational and entertainment services, namely, a continuing program about current events in science, technology, engineering, research and development, and business accessible via podcasts, websites, web-based applications, mobile phone applications and computer networks; Educational services, namely, providing podcasts in the fields of current events in science, technology, engineering, research and development, and business; Providing information in the field of current events via a website; Consulting services in the field of job-related training Computer software development; Consultation in the field of ergonomics, namely, designing workplace facilities and equipment to optimize efficiency and safety; Medical and scientific research information in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Research and development and consultation related thereto in the field of computer and software based modeling and simulation, computer based training, computer and software based performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Software as a service (SAAS) services featuring software for human factors engineering; Software as a service (SAAS) services featuring software for human performance research and human performance analysis; Software as a service (SAAS) services featuring software for operationalizing artificial intelligence; Software as a service (SAAS) services featuring software for enhancing artificial intelligence; Software as a service (SAAS) services featuring software for learning and training development; Software as a service (SAAS) services featuring software for systems engineering; Software as a service (SAAS) services featuring software for machine learning; Software as a service (SAAS) services featuring software for machine teaming implementation; Technology consultation and research in the field of human factors; Technology consultation and research in the field of human performance and augmentation; Technology consultation and research in the field of human-machine teaming implementation; Technology consultation and research in the field of artificial intelligence; Technology consultation and research in the field of learning and training development; Technology consultation and research in the field of systems engineering; Technology consultation and research in the field of machine learning; Technological consultation in the technology field of modeling, simulation, computerbased training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Design and development of computer hardware and software; Design, development and implementation of software; Product research and development; Research in the field of artificial intelligence; Technology research in the field of intelligence and security; Scientific research and development; Research and development and consultation related thereto in the field of survey design and research

5.

APTIMA

      
Serial Number 99445266
Status Pending
Filing Date 2025-10-15
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer hardware and recorded computer software programs sold as a unit for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; Recorded computer software for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; Downloadable computer software for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; Downloadable computer software for computer-based training, data capture and performance measurement; Downloadable computer software for modeling, simulation and cognitive computing; Recorded computer software for computer-based training, data capture and performance measurement; Recorded computer software for modeling, simulation and cognitive computing; Computer hardware and recorded software systems for computer-based training, data capture and performance measurement; Computer hardware and recorded software systems for modeling, simulation and cognitive computing; Downloadable computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Recorded computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Recorded computer programs using artificial intelligence (AI) for modeling, simulation and cognitive computing; Downloadable computer software using artificial intelligence (AI) for modeling, simulation and cognitive computing Business consultation; Business consultation in the field of human performance and augmentation; Business consultation in the field of human-machine teaming implementation; Business consultation in the field of artificial intelligence; Business consultation in the field of learning and training development; Business consultation in the field of systems engineering; Business consultation in the field of machine learning; Business consultation in the field of human factors; Business management and consultation in the field of human factors; Business management and consultation in the field of human performance and augmentation; Business management and consultation in the field of human-machine teaming implementation; Business management and consultation in the field of artificial intelligence; Business management and consultation in the field of learning and training development; Business management and consultation in the field of systems engineering; Business management and consultation in the field of machine learning; Business management and consultation in the field of human factors engineering Entertainment services, namely, an ongoing series featuring commentary, interviews and information in the field of current events in science, technology, engineering, research and development, and business provided through podcasts, websites, web-based applications, mobile phone applications and computer networks; Entertainment services, namely, providing podcasts in the field of current events in science, technology, engineering, research and development, and business; Educational and entertainment services, namely, a continuing program about current events in science, technology, engineering, research and development, and business accessible via podcasts, websites, web-based applications, mobile phone applications and computer networks; Educational services, namely, providing podcasts in the fields of current events in science, technology, engineering, research and development, and business; Providing information in the field of current events via a website; Consulting services in the field of job-related training Computer software development; Consultation in the field of ergonomics, namely, designing workplace facilities and equipment to optimize efficiency and safety; Medical and scientific research information in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Research and development and consultation related thereto in the field of computer and software based modeling and simulation, computer-based training, computer and software based performance measurement, performance assessment and performance feedback, data capture, cognitive computing, data extraction and human language translation; Software as a service (SAAS) services featuring software for human factors engineering; Software as a service (SAAS) services featuring software for data capture, human performance research and analysis and measurement; Software as a service (SAAS) services featuring software for operationalizing artificial intelligence; Software as a service (SAAS) services featuring software for enhancing artificial intelligence; Software as a service (SAAS) services featuring software for learning and training development; Software as a service (SAAS) services featuring software for systems engineering; Software as a service (SAAS) services featuring software for machine learning; Software as a service (SAAS) services featuring software for machine teaming implementation; Technology consultation and research in the field of human factors; Technology consultation and research in the field of human performance and augmentation; Technology consultation and research in the field of human-machine teaming implementation; Technology consultation and research in the field of artificial intelligence; Technology consultation and research in the field of learning and training development; Technology consultation and research in the field of systems engineering; Technology consultation and research in the field of machine learning; Technological consultation in the technology field of modeling, simulation, computerbased training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Design and development of computer hardware and software; Design and development of multimedia products; Design, development and implementation of software; Product research and development; Research in the field of artificial intelligence; Technology research in the field of intelligence and security; Scientific research in the field of intelligence and security; Scientific research and development; Research and development and consultation related thereto in the field of survey design and research

6.

SYSTEMS AND METHODS FOR ANALYZING ENTITY PROFILES

      
Application Number 19043514
Status Pending
Filing Date 2025-02-02
First Publication Date 2025-06-05
Owner Aptima, Inc. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Dejordy, Richard
  • Allopenna, Paul

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
  • G06F 16/22 - IndexingData structures thereforStorage structures
  • G06Q 10/10 - Office automationTime management

7.

Contextualized human machine systems and methods of use

      
Application Number 17143152
Grant Number 12242981
Status In Force
Filing Date 2021-01-06
First Publication Date 2025-03-04
Grant Date 2025-03-04
Owner Aptima, Inc. (USA)
Inventor
  • Fouse, Adam
  • Mullins, Ryan

Abstract

A contextualized human machine system is provided comprising a context engine and a user interface configured to communicate a recommended data to a user. In some embodiments, the context engine selects the recommended data based on an activity of the user. In some embodiments, the input of the user comprises a chat stream of the user. In some embodiments, the recommended data comprises one of a video product, a hyperlink to information or a suggestion for annotating a product. In some embodiments, the context engine is configured to represent user activity, content, mission and actor as nodes in a multi-layer knowledge graph.

IPC Classes  ?

8.

CONTEXTUALIZED SENSOR SYSTEMS AND METHODS OF USE

      
Application Number 18416761
Status Pending
Filing Date 2024-01-18
First Publication Date 2024-06-20
Owner Aptima, Inc. (USA)
Inventor
  • Feeney, John
  • Durkee, Kevin
  • Kiehl, Zachary
  • Depriest, William
  • Ewer, Matthew
  • Ward, Jeremy
  • Arvin, Korey

Abstract

A contextualized sensor system (CSS) is provided comprising one or more sensors, one or more memory elements, an alerting library stored in the one or more memory elements, one or more processors, and the one or more memory elements including instructions that, when executed, cause the one or more processors to perform operations comprising: receiving from one of the one or more sensors one or more sensor data, comparing the first sensor data to the alerting library to determine whether an alert situation has occurred, and communicating an alert if the alert situation has occurred. In some embodiments, the CSS further comprises removable sensor modules and component blocks to provide multiple configurations of CSS components. In some embodiments, the component blocks comprise sensors or power sources.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

9.

FITFORCE

      
Serial Number 98563667
Status Pending
Filing Date 2024-05-22
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable mobile applications for creating physical training plans; Downloadable mobile applications for choosing the optimal physical training plan for an individual or group; Downloadable mobile applications for executing an individual or group training plan; Downloadable mobile applications for analyzing an individual or group physical training plan; Downloadable mobile applications for tracking an individual or group physical training plan Training in the use and operation of computer software and applications to create, execute, track and analyze physical training plans; Educational services, namely, conducting classes and consultations being non-downloadable webinars and workshops in the field of creating, executing, tracking and analyzing physical training plans and distribution of training material in connection therewith; Providing training in the field of creating, executing, tracking and analyzing physical training plans Providing temporary use of a non-downloadable web application for creating physical training plans; Providing temporary use of a non-downloadable web application for choosing the optimal physical training plan for an individual or group; Providing temporary use of a non-downloadable web application for executing an individual or group training plan; Providing temporary use of a non-downloadable web application for analyzing an individual or group physical training plan; Providing temporary use of a non-downloadable web application for tracking an individual or group physical training plan; Providing a website featuring resources, namely, non-downloadable software for creating physical training plans; Providing a website featuring resources, namely, non-downloadable software for choosing the optimal physical training plan for an individual or group; Providing a website featuring resources, namely, non-downloadable software for executing an individual or group training plan; Providing a website featuring resources, namely, non-downloadable software for tracking an individual or group physical training plan; Providing a website featuring resources, namely, non-downloadable software for analyzing an individual or group physical training plan

10.

VIGILIFE

      
Application Number 1789703
Status Registered
Filing Date 2023-11-22
Registration Date 2023-11-22
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; downloadable computer software for health and safety monitoring; recorded computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; recorded computer software for health and safety monitoring; downloadable cloud-based software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; downloadable cloud-based software for health and safety monitoring. Research and development and consultation related thereto in the field of assessment, risk detection and injury or illness prediction and prevention for occupational health and safety; research and development and consultation related thereto in the field of detecting physiological risks and alerting for injury or illness prevention; software as a service (SAAS) services featuring software for occupational and living health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; software as a service (SAAS) services featuring software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; software as a service (SAAS) services featuring software for risk detection and injury or illness prediction and prevention; technology consultation and research in the field of assessment, risk detection and injury or illness prevention for occupational and recreational health and safety; technology consultation and research in the field of safety assessment, risk detection and injury or illness prediction and prevention; technology consultation and research in the field of occupational and recreational health and safety assessment, risk detection and injury prediction and prevention; providing on-line non-downloadable software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing on-line non-downloadable software for occupational and recreational health and safety applications in the field of detecting physiological risks and alerting for injury prevention; providing on-line non-downloadable software for health and safety applications; providing on-line non-downloadable software for occupational and recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing temporary use of non-downloadable cloud-based software for occupational or recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing temporary use of non-downloadable cloud-based software for health and safety applications.

11.

ARTIFICIAL INTELLIGENCE AGENT SYSTEMS AND METHODS OF USE

      
Application Number 18450277
Status Pending
Filing Date 2023-08-15
First Publication Date 2024-05-16
Owner Aptima, Inc. (USA)
Inventor
  • Fouse, Adam
  • Mullins, Ryan
  • Cummings, Patrick
  • Moquete, Manuel
  • Schurr, Nathan
  • Feeney, John
  • Weiss, Chad

Abstract

Disclosed are systems and methods of communicating an attribute of an artificial intelligence (AI) agent system through an interface. The methods comprise receiving input data, determining attribute values of attributes to the input data over temporal periods, determining interface attribute values representing the interface attributes and communicating the interface attribute values to a dynamic interface. Also disclosed is a contextualized system comprising a contextualizer module and a user interface configured to communicate a recommended data to a user. In some embodiments, the contextualizer module selects a most pertinent data as the recommended data based on an activity of the user.

IPC Classes  ?

12.

VIGILIFE

      
Application Number 232726500
Status Pending
Filing Date 2023-11-22
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

(1) Downloadable computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; downloadable computer software for health and safety monitoring; recorded computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; recorded computer software for health and safety monitoring; downloadable cloud-based software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; downloadable cloud-based software for health and safety monitoring. (1) Research and development and consultation related thereto in the field of assessment, risk detection and injury or illness prediction and prevention for occupational health and safety; research and development and consultation related thereto in the field of detecting physiological risks and alerting for injury or illness prevention; software as a service (SAAS) services featuring software for occupational and living health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; software as a service (SAAS) services featuring software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; software as a service (SAAS) services featuring software for risk detection and injury or illness prediction and prevention; technology consultation and research in the field of assessment, risk detection and injury or illness prevention for occupational and recreational health and safety; technology consultation and research in the field of safety assessment, risk detection and injury or illness prediction and prevention; technology consultation and research in the field of occupational and recreational health and safety assessment, risk detection and injury prediction and prevention; providing on-line non-downloadable software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing on-line non-downloadable software for occupational and recreational health and safety applications in the field of detecting physiological risks and alerting for injury prevention; providing on-line non-downloadable software for health and safety applications; providing on-line non-downloadable software for occupational and recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing temporary use of non-downloadable cloud-based software for occupational or recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; providing temporary use of non-downloadable cloud-based software for health and safety applications.

13.

CONNECTED HEALTH & SAFETY

      
Serial Number 98250737
Status Registered
Filing Date 2023-11-01
Registration Date 2026-02-10
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable cloud-based software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention;; Downloadable cloud-based software for health and safety monitoring; Downloadable computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Downloadable computer software for health and safety monitoring; Recorded computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Recorded computer software for health and safety monitoring Providing on-line non-downloadable software for occupational and recreational health and safety applications in the field of detecting physiological risks and alerting for injury prevention; Providing on-line non-downloadable software for health and safety applications; Providing on-line non-downloadable software for occupational and recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing temporary use of non-downloadable cloud-based software for occupational or recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing temporary use of non-downloadable cloud-based software for health and safety applications; Research and development and consultation related thereto in the field of assessment, risk detection and injury or illness prediction and prevention for occupational health and safety; Research and development and consultation related thereto in the field of detecting physiological risks and alerting for injury or illness prevention; Software as a service (SAAS) services featuring software for occupational and living health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Software as a service (SAAS) services featuring software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Software as a service (SAAS) services featuring software for risk detection and injury or illness prediction and prevention; Technology consultation and research in the field of assessment, risk detection and injury or illness prevention for occupational and recreational health and safety; Technology consultation and research in the field of safety assessment, risk detection and injury or illness prediction and prevention; Technology consultation and research in the field of occupational and recreational health and safety assessment, risk detection and injury prediction and prevention

14.

VIGILIFE

      
Serial Number 98209472
Status Registered
Filing Date 2023-10-04
Registration Date 2026-07-07
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable cloud-based software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Downloadable cloud-based software for health and safety monitoring; Downloadable computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Downloadable computer software for health and safety monitoring; Recorded computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Recorded computer software for health and safety monitoring Providing on-line non-downloadable software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing on-line non-downloadable software for occupational and recreational health and safety applications in the field of detecting physiological risks and alerting for injury prevention; Providing on-line non-downloadable software for occupational and recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing on-line non-downloadable software for health and safety applications; Providing temporary use of non-downloadable cloud-based software for occupational or recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing temporary use of non-downloadable cloud-based software for health and safety applications; Research and development and consultation related thereto in the field of assessment, risk detection and injury or illness prediction and prevention for occupational health and safety; Research and development and consultation related thereto in the field of detecting physiological risks and alerting for injury or illness prevention; Software as a service (SAAS) services featuring software for occupational and living health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Software as a service (SAAS) services featuring software for risk detection and injury or illness prediction and prevention; Software as a service (SAAS) services featuring software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Technology consultation and research in the field of assessment, risk detection and injury or illness prevention for occupational and recreational health and safety; Technology consultation and research in the field of occupational and recreational health and safety assessment, risk detection and injury prediction and prevention; Technology consultation and research in the field of safety assessment, risk detection and injury or illness prediction and prevention

15.

Enhanced activated exoskeleton system

      
Application Number 16782954
Grant Number 11772259
Status In Force
Filing Date 2020-02-05
First Publication Date 2023-10-03
Grant Date 2023-10-03
Owner Aptima, Inc. (USA)
Inventor
  • Kiehl, Zachary
  • Ward, Danielle
  • Cummings, Patrick
  • Sathyanarayan, Deepak

Abstract

An enhanced exoskeleton system is disclosed comprising an exoskeleton, a base layer comprising at least one sensor, an exoskeleton actuator configured to actuate the exoskeleton, a control subsystem comprising one or more processors, and memory elements including instructions that, when executed, cause the processors to perform operations comprising: receiving sensor data from the sensor, determining a future movement intent of a user of the exoskeleton, determining a command for an exoskeleton actuator based on the future movement intent, and communicating the command to the exoskeleton actuator whereby the exoskeleton is actuated by the exoskeleton actuator. In some embodiments, the sensor data comprises an anticipatory data value from an anticipatory sensor. In some embodiments, the sensor data comprises an anticipatory data value from an electromyography (EMG) sensor.

IPC Classes  ?

  • G05B 19/04 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers
  • B25J 9/00 - Programme-controlled manipulators
  • A61H 3/00 - Appliances for aiding patients or disabled persons to walk about
  • B25J 9/16 - Programme controls
  • B25J 13/08 - Controls for manipulators by means of sensing devices, e.g. viewing or touching devices

16.

VIGILIFE

      
Serial Number 98113163
Status Registered
Filing Date 2023-08-02
Registration Date 2026-07-07
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Downloadable computer software for health and safety monitoring; Recorded computer software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Recorded computer software for health and safety monitoring; Downloadable cloud-based software for health and safety monitoring in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for illness or injury prevention; Downloadable cloud-based software for health and safety monitoring Research and development and consultation related thereto in the field of assessment, risk detection and injury or illness prediction and prevention for occupational health and safety; Research and development and consultation related thereto in the field of detecting physiological risks and alerting for injury or illness prevention; Software as a service (SAAS) services featuring software for occupational and living health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Software as a service (SAAS) services featuring software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risk and produce predictive alerts for injury or illness prevention; Software as a service (SAAS) services featuring software for risk detection and injury or illness prediction and prevention; Technology consultation and research in the field of assessment, risk detection and injury or illness prevention for occupational and recreational health and safety; Technology consultation and research in the field of safety assessment, risk detection and injury or illness prediction and prevention; Technology consultation and research in the field of occupational and recreational health and safety assessment, risk detection and injury prediction and prevention; Providing on-line non-downloadable software for health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing on-line non-downloadable software for occupational and recreational health and safety applications in the field of detecting physiological risks and alerting for injury prevention; Providing on-line non-downloadable software for health and safety applications; Providing on-line non-downloadable software for occupational and recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing temporary use of non-downloadable cloud-based software for occupational or recreational health and safety applications in the nature of assessing physiological and environmental indicators to detect risks and produce predictive alerts for injury or illness prevention; Providing temporary use of non-downloadable cloud-based software for health and safety applications

17.

Access enhancements for network based interactive planning systems

      
Application Number 17091907
Grant Number 11709861
Status In Force
Filing Date 2020-11-06
First Publication Date 2023-07-25
Grant Date 2023-07-25
Owner Aptima, Inc. (USA)
Inventor
  • Clark, Timothy
  • Jenkins, Christopher
  • Ganberg, Gabriel
  • Bharadwaj, Vinay

Abstract

An interactive planning system is provided to allow a user to create and manage plans in online, offline, and intermittent connectivity environments. In some embodiments, the interactive planning system comprises a mobile, web-based application with an in-browser database configured to allow the user to create and manage plans in an offline environment and synchronize the plan when online connectivity is restored. In some embodiments, the interactive planning system comprises a fitness planning system configured to allow users to create and manage physical fitness plans in online, offline, and intermittent connectivity environments; to provide instructors the ability to enter fitness plan attributes, detail focus areas and timeframe for fitness plans; to provide instructors the ability to highlight macro-level phases to inform plan analytics; and to provide an ability to share programs to groups.

IPC Classes  ?

  • G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor
  • G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
  • G06F 16/25 - Integrating or interfacing systems involving database management systems
  • G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
  • A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
  • G06F 16/23 - Updating
  • H04L 67/1095 - Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes

18.

Systems and methods to measure performance

      
Application Number 17229907
Grant Number 11676500
Status In Force
Filing Date 2021-04-14
First Publication Date 2023-06-13
Grant Date 2023-06-13
Owner Aptima, Inc. (USA)
Inventor
  • Tolland, Michael
  • Zuzack, Zachary

Abstract

Methods of and systems to provide performance measurement are provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.

IPC Classes  ?

  • G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
  • G09B 5/00 - Electrically-operated educational appliances
  • G06F 3/04842 - Selection of displayed objects or displayed text elements
  • G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials

19.

Systems and methods to infer user behavior

      
Application Number 17067895
Grant Number 11651285
Status In Force
Filing Date 2020-10-12
First Publication Date 2023-05-16
Grant Date 2023-05-16
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Schurr, Nathan
  • Hering, Darby
  • Zakin, Mitch

Abstract

Methods to infer user behavior are disclosed comprising a process of predefining one or more activities for a user application, providing a processor based device and user interface configured to operate with the device to support the user with tasks using the user application, the user application communicating an intent message to a transformative power management (TPM) application and the TPM configured to define and output an instruction for the application given the intention and the predefined activities. In some embodiments, the methods are implemented on a processor based device. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • H04B 17/391 - Modelling the propagation channel
  • G06F 1/3203 - Power management, i.e. event-based initiation of a power-saving mode
  • G06F 1/3206 - Monitoring of events, devices or parameters that trigger a change in power modality
  • G06F 1/3228 - Monitoring task completion, e.g. by use of idle timers, stop commands or wait commands
  • H04W 52/22 - TPC being performed according to specific parameters taking into account previous information or commands

20.

Communications training system

      
Application Number 17080375
Grant Number 11557217
Status In Force
Filing Date 2020-10-26
First Publication Date 2023-01-17
Grant Date 2023-01-17
Owner Aptima, Inc. (USA)
Inventor
  • Sullivan, Kevin
  • Roberts, Matthew
  • Knapp, Michael
  • Riordan, Brian

Abstract

A communications training system is provided having a user interface, a computer-based simulator and a performance measurement database. The user interface is configured to receive a speech communication input from the user based on a training content and the computer-based simulator is configured to transform the speech communication to a text data whereby the text data can be aligned to performance measurement database values to determine a performance measure of the speech communication. The format of the text data and the performance measurement database values enable the speech communication to be aligned with predefined performance measurement database values representing expected speech communications for that training content.

IPC Classes  ?

  • G09B 5/04 - Electrically-operated educational appliances with audible presentation of the material to be studied
  • G09B 5/06 - Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
  • G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
  • G06F 40/30 - Semantic analysis
  • G09B 19/04 - Speaking
  • G10L 15/187 - Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
  • G10L 15/26 - Speech to text systems
  • G09B 9/00 - Simulators for teaching or training purposes

21.

SIDEKICK

      
Application Number 1706960
Status Registered
Filing Date 2022-06-23
Registration Date 2022-06-23
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable chatbot software using artificial intelligence for human-artificial intelligence teaming; downloadable chatbot software using artificial intelligence for understanding the needs of a user and the context in which they operate; downloadable chatbot software using artificial intelligence for providing the right information for maximizing performance in critical situations; downloadable chatbot software for human-artificial intelligence teaming; downloadable chatbot software for enabling human-artificial intelligence teaming in complex environments; downloadable chatbot software for understanding the needs of a user and the context in which they operate; downloadable chatbot software for providing the right information for maximizing performance in critical situations; downloadable computer software platforms for human-artificial intelligence teaming that use artificial intelligence for contextual reasoning; downloadable computer software platforms for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; downloadable computer software platforms for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning; downloadable computer software for human-artificial intelligence teaming by using artificial intelligence for contextual reasoning; downloadable computer software for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; downloadable computer software for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning. Business consultation in the field of artificial intelligence implementation; business consultation in the field of enabling human-artificial intelligence teaming in complex environments; business research and consultation in the field of maximizing performance in critical situations, namely, maximizing performance using artificial intelligence for contextual reasoning. Providing on-line non-downloadable software for human-artificial intelligence teaming that uses artificial intelligence for contextual reasoning; providing on-line non-downloadable software for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; providing on-line non-downloadable software for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning; research and development and consultation related thereto in the field of human-artificial intelligence teaming, namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning; research and development and consultation related thereto in the field of enabling human-artificial intelligence teaming in complex environments, namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning; research and development and consultation related thereto in the field of understanding the needs of a user and the context in which they operate using artificial intelligence for contextual reasoning; technological research in the field of maximizing performance in critical situations, namely, maximizing performance using artificial intelligence for contextual reasoning; technology consultation and research in the field of enabling human-artificial intelligence teaming in complex environments, namely, enabling human-artificial teaming using artificial intelligence for contextual reasoning; technology consultation and research in the field of understanding the needs of a user and the context in which they operate using artificial intelligence for contextual reasoning; technology consultation and research in the field of maximizing performance in critical situations namely, maximizing performance using artificial intelligence for contextual reasoning; technology consultation and research in the field of human-artificial intelligence teaming namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning.

22.

Human-machine systems with interaction based cognitive assessment input systems

      
Application Number 16247252
Grant Number 11538351
Status In Force
Filing Date 2019-01-14
First Publication Date 2022-12-27
Grant Date 2022-12-27
Owner Aptima, Inc. (USA)
Inventor
  • Bruni, Sylvain
  • Lucia, Lisa

Abstract

A processor based input system is provided for automatically determining the cognitive assessment of a human as an input source to a processor based automated system configured for use in a human-machine team. In some embodiments, the processor based input system comprises an input device, a cognitive assessment input system (CAIS) and a processor based automated system. In some embodiments the CAIS comprises an interaction data acquisition module configured to receive input data from the input device as interaction data, a cognitive indicators and work patterns analysis module configured to determine a cognitive measure from the interaction data, an intervention building module configured to determine automation directives for a processor based automated system from the cognitive measure and the automated system is configured to receive and execute automation directives from the CAIS as an input source to the processor based automated system.

IPC Classes  ?

  • G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers

23.

Simulation based training system for measurement of cognitive load to automatically customize simulation content

      
Application Number 17024325
Grant Number 11532241
Status In Force
Filing Date 2020-09-17
First Publication Date 2022-12-20
Grant Date 2022-12-20
Owner Aptima, Inc. (USA)
Inventor
  • Beaubien, Jeffrey
  • Feeney, John
  • Depriest, William N.
  • Pappada, Scott

Abstract

In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.

IPC Classes  ?

  • A61B 5/16 - Devices for psychotechnicsTesting reaction times
  • G09B 9/00 - Simulators for teaching or training purposes
  • G09B 7/10 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers wherein a set of answers is common to a plurality of questions
  • G09B 19/00 - Teaching not covered by other main groups of this subclass
  • A61B 5/0245 - Measuring pulse rate or heart rate using sensing means generating electric signals
  • A61B 5/369 - Electroencephalography [EEG]

24.

Systems and methods for analyzing entity profiles

      
Application Number 17819651
Grant Number 12216687
Status In Force
Filing Date 2022-08-15
First Publication Date 2022-12-08
Grant Date 2025-02-04
Owner Aptima, Inc. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Dejordy, Richard
  • Allopenna, Paul

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06F 16/22 - IndexingData structures thereforStorage structures
  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
  • G06Q 10/10 - Office automationTime management

25.

Specialized health care system for selecting treatment paths

      
Application Number 16186278
Grant Number 11270800
Status In Force
Filing Date 2018-11-09
First Publication Date 2022-03-08
Grant Date 2022-03-08
Owner Aptima, Inc. (USA)
Inventor
  • Mitidis, Andonis
  • Ayers, Jeanine

Abstract

Methods for selecting treatment paths are disclosed generally comprising the steps of: (a) discovering a set of treatment path clusters based on latent patterns in historical patient trace data, (b) building a set of binary classifiers based on historical patient trace data, historical patient data and target outcomes, and (c) given the treatment path clusters, actual patient data, and a selected target outcome, applying the binary classifiers to predict a treatment path for a new patient that optimizing the selected target outcome. Processor based systems to implement the methods are also disclosed.

IPC Classes  ?

  • G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
  • G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

26.

SIMMD

      
Serial Number 97185229
Status Registered
Filing Date 2021-12-22
Registration Date 2022-09-13
Owner Aptima, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Providing on-line non-downloadable software for environment assessment; Providing on-line non-downloadable software for identifying and reporting deficiencies in a system; Providing on-line non-downloadable software for evaluating devices; Providing on-line non-downloadable software for assessing simulations; Providing a website featuring non-downloadable software for environment assessment; Providing a website featuring non-downloadable software for identifying and reporting deficiencies in a system; Providing a website featuring non-downloadable software for evaluating devices; Providing a website featuring non-downloadable software for assessing simulations

27.

Systems and methods for automated learning

      
Application Number 16773902
Grant Number 11188848
Status In Force
Filing Date 2020-01-27
First Publication Date 2021-11-30
Grant Date 2021-11-30
Owner Aptima, Inc. (USA)
Inventor Carlin, Alan

Abstract

In one embodiment of the invention, a training model for students is provided that models how to present training items to students in a computer based adaptive trainer. The training model receives student performance data and uses the training model to infer underlying student skill levels throughout the training sequence. Some embodiments of the training model also comprise machine learning techniques that allow the training model to adapt to changes in students skills as the student performs on training items presented by the training model. Furthermore, the training model may also be used to inform a training optimization model, or a learning model, in the form of a Partially Observable Markov Decision Process (POMDP).

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • G06N 7/00 - Computing arrangements based on specific mathematical models

28.

SAFETY MADE PERSONAL

      
Application Number 1621513
Status Registered
Filing Date 2021-07-14
Registration Date 2021-07-14
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for analyzing human health and safety data; downloadable computer software for analyzing human health and wellness data; downloadable computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; downloadable computer software for collection and networking of occupation awareness data via secure communication protocols; downloadable computer software for optimizing work safety, regulatory compliance, and safety-related expenses for use in the health and safety fields; recorded computer software for analyzing human health and safety data; recorded computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; recorded computer software for collection and networking of occupation awareness data via secure communication protocols; recorded computer software for optimizing worker safety, regulatory compliance, and safety-related expenses for use in the health and safety fields; recorded computer software for analyzing human health and wellness data. Business consultation in the field of occupational awareness; business consultation in the field of human health and wellness; business consultation in the field of occupational health and safety; business management consulting services in the field of occupational awareness; business management consulting services in the field of occupational health and safety; business management consulting services in the field of human health and wellness. Providing on-line non-downloadable software for the collection and networking of occupation awareness data via secure communication protocols; providing on-line non-downloadable software for occupational health and safety; providing on-line non-downloadable software for analyzing human health and safety data; providing temporary use of non-downloadable cloud-based software for the collection and networking of occupation awareness data via secure communication protocols; providing temporary use of non-downloadable cloud-based software for occupational health and safety; providing temporary use of non-downloadable cloud-based software for human health and wellness; providing temporary use of non-downloadable cloud-based software for analyzing human health and safety data; research and development and consultation related thereto in the field of occupational health and safety; research and development and consultation related thereto in the field of occupational awareness; research and development and consultation related thereto in the field of human health and wellness; software as a service (saas) services featuring software for the collection and networking of occupation awareness data via secure communication protocols; software as a service (saas) services featuring software for occupational health and safety; software as a service (saas) services featuring software for analyzing human health and safety data; technology consultation and research in the field of occupational health and safety; technology consultation and research in the field of occupational awareness; technology consultation and research in the field of human health and wellness.

29.

APTIMA

      
Serial Number 90871221
Status Registered
Filing Date 2021-08-08
Registration Date 2022-05-24
Owner Aptima, Inc. ()
NICE Classes  ?
  • 35 - Advertising and business services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Business consultation; Business consultation in the field of human performance and augmentation; Business consultation in the field of human-machine teaming implementation; Business consultation in the field of artificial intelligence; Business consultation in the field of learning and training development; Business consultation in the field of systems engineering; Business consultation in the field of machine learning; Business consultation in the field of human factors; Business management and consultation in the field of human factors; Business management and consultation in the field of human performance and augmentation; Business management and consultation in the field of human-machine teaming implementation; Business management and consultation in the field of artificial intelligence; Business management and consultation in the field of learning and training development; Business management and consultation in the field of systems engineering; Business management and consultation in the field of machine learning Educational services, namely, providing podcasts in the fields of current events in science, technology, engineering, research and development, and business; Entertainment services, namely, an ongoing series featuring commentary, interviews and information in the field of current events in science, technology, engineering, research and development, and business provided through podcasts, websites, web-based applications, mobile phone applications and computer networks; Entertainment services, namely, providing podcasts in the field of current events in science, technology, engineering, research and development, and business; Educational and entertainment services, namely, a continuing program about current events in science, technology, engineering, research and development, and business accessible by means of podcasts, websites, web-based applications, mobile phone applications and computer networks; Providing information in the field of current events via a website Computer software development; Consultation in the field of ergonomics, namely, designing workplace facilities and equipment to optimize efficiency and safety; Medical and scientific research information in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Research and development and consultation related thereto in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; Software as a service (SAAS) services featuring software for human factors engineering; Software as a service (SAAS) services featuring software for analyzing human performance; Software as a service (SAAS) services featuring software for measuring human performance; Software as a service (SAAS) services featuring software for informing human augmentation; Software as a service (SAAS) services featuring software for operationalizing artificial intelligence; Software as a service (SAAS) services featuring software for enhancing artificial intelligence; Software as a service (SAAS) services featuring software for learning and training development; Software as a service (SAAS) services featuring software for systems engineering; Software as a service (SAAS) services featuring software for machine learning; Software as a service (SAAS) services featuring software for machine teaming implementation; Technology consultation and research in the field of human factors; Technology consultation and research in the field of human performance and augmentation; Technology consultation and research in the field of human-machine teaming implementation; Technology consultation and research in the field of artificial intelligence; Technology consultation and research in the field of learning and training development; Technology consultation and research in the field of systems engineering; Technology consultation and research in the field of machine learning; Technology consultation in the field of modeling, simulation, computer based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation

30.

CONTEXTUALIZED SENSOR SYSTEMS

      
Application Number US2020066888
Publication Number 2021/133938
Status In Force
Filing Date 2020-12-23
Publication Date 2021-07-01
Owner APTIMA, INC. (USA)
Inventor
  • Durkee, Kevin
  • Kiehl, Zachary
  • Depriest, William
  • Ewer, Matthew

Abstract

A contextualized sensor system is provided comprising one or more sensors, one or more memory elements, a library of alert rules stored in the one or more memory elements, one or more processors, and the one or more memory elements including instructions that, when executed, cause the one or more processors to perform operations comprising: receiving from one of the one or more sensors one or more sensor data, comparing the first sensor data to a library of alert rules to determine whether an alert situation has occurred, and communicating an alert if the alert situation has occurred. In some embodiments, the operations further comprise contextualizing an environmental data, a location data, a physiological data, a behavior data and an orientation data.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons
  • A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
  • G06Q 10/10 - Office automationTime management
  • G08B 23/00 - Alarms responsive to unspecified undesired or abnormal conditions
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

31.

SAFETY MADE PERSONAL

      
Serial Number 90706407
Status Registered
Filing Date 2021-05-12
Registration Date 2025-02-04
Owner Aptima, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Providing on-line non-downloadable software for the collection and networking of occupation awareness data via secure communication protocols; Providing on-line non-downloadable software for occupational health and safety in the nature of assessing physiological and environmental indicators to detect risk for injury prevention; Providing on-line non-downloadable software for analyzing human health and safety data; Providing temporary use of non-downloadable cloud-based software for the collection and networking of occupation awareness data via secure communication protocols; Providing temporary use of non-downloadable cloud-based software for occupational health and safety in the nature of assessing physiological and environmental indicators to detect risk for injury prevention; Providing temporary use of non-downloadable cloud-based software for human health and wellness in the nature of assessing physiological and environmental indicators to detect risk for injury prevention; Providing temporary use of non-downloadable cloud-based software for analyzing human health and safety data; Research and development and consultation related thereto in the field of occupational health and safety; Research and development and consultation related thereto in the field of occupational awareness; Research and development and consultation related thereto in the field of human health and wellness; Software as a service (SAAS) services featuring software for the collection and networking of occupation awareness data via secure communication protocols; Software as a service (SAAS) services featuring software for occupational health and safety in the nature of assessing physiological and environmental indicators to detect risk for injury prevention; Software as a service (SAAS) services featuring software for analyzing human health and safety data; Technology consultation and research in the field of occupational health and safety; Technology consultation and research in the field of occupational awareness; Technology consultation and research in the field of human health and wellness

32.

Systems and methods to measure performance

      
Application Number 16574687
Grant Number 10997868
Status In Force
Filing Date 2019-09-18
First Publication Date 2021-05-04
Grant Date 2021-05-04
Owner Aptima, Inc. (USA)
Inventor
  • Tolland, Michael
  • Zuzack, Zachary

Abstract

Methods of and systems to provide performance measurement are provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.

IPC Classes  ?

  • G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
  • G09B 5/00 - Electrically-operated educational appliances
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

33.

SAFEGUARD

      
Application Number 1586809
Status Registered
Filing Date 2020-12-18
Registration Date 2020-12-18
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for analyzing human health and safety data; downloadable computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; downloadable computer software for collection and networking of occupation awareness data via secure communication protocols; downloadable computer software relating to occupational health and safety; recorded computer software for analyzing human health and safety data; recorded computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; recorded computer software for collection and networking of occupation awareness data via secure communication protocols; recorded computer software relating to occupational health and safety. Business consultation in the field of occupational awareness; business consultation in the field of occupational health and safety; business management consulting services in the field of occupational awareness; business management consulting services in the field of occupational health and safety. Providing on-line non-downloadable software for the collection and networking of occupation awareness data via secure communication protocols; providing on-line non-downloadable software for occupational health and safety; providing on-line non-downloadable software for analyzing human health and safety data; providing temporary use of non-downloadable cloud-based software for the collection and networking of occupation awareness data via secure communication protocols; providing temporary use of non-downloadable cloud-based software for occupational health and safety; providing temporary use of non-downloadable cloud-based software for analyzing human health and safety data; research and development and consultation related thereto in the field of of occupational health and safety; research and development and consultation related thereto in the field of occupational awareness; software as a service (saas) services featuring software for the collection and networking of occupation awareness data via secure communication protocols; software as a service (saas) services featuring software for occupational health and safety; software as a service (saas) services featuring software for analyzing human health and safety data; technology consultation and research in the field of of occupational health and safety; technology consultation and research in the field of occupational awareness.

34.

SENTINEL

      
Application Number 1585517
Status Registered
Filing Date 2020-12-18
Registration Date 2020-12-18
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for health and safety monitoring; downloadable computer software for safety monitoring; recorded computer software for health and safety monitoring; recorded computer software for safety monitoring; downloadable cloud-based software for health and safety monitoring; downloadable cloud-based software for safety monitoring. Business consultation in the field of occupational health and safety; business consultation in the field of safety; business consultation in the field of implementing safety programs; business management consulting services in the field of occupational health and safety. Research and development and consultation related thereto in the field of occupational health and safety; software as a service (SAAS) services featuring software for occupational health and safety applications; software as a service (SAAS) services featuring software for safety applications; technological consultancy and research in the field of occupational health and safety; technological consultancy and research in the field of safety; technological consultancy in the field of occupational health and safety; technological consultancy in the field of safety; providing on-line non-downloadable software for occupational health and safety applications; providing on-line non-downloadable software for safety applications; providing temporary use of non-downloadable cloud-based software for occupational health and safety applications.

35.

SENTINEL OCCUPATIONAL SAFETY

      
Application Number 1584392
Status Registered
Filing Date 2020-12-18
Registration Date 2020-12-18
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for health and safety monitoring; downloadable computer software for safety monitoring; recorded computer software for health and safety monitoring; recorded computer software for safety monitoring; downloadable cloud-based software for health and safety monitoring; downloadable cloud-based software for safety monitoring. Business consultation in the field of occupational health and safety; business consultation in the field of safety; business consultation in the field of implementing safety programs; business management consulting services in the field of occupational health and safety. Research and development and consultation related thereto in the field of occupational health and safety; software as a service (SAAS) services featuring software for occupational health and safety applications; software as a service (SAAS) services featuring software for safety applications; technology consultation and research in the field of occupational health and safety; technology consultation and research in the field of safety; technology consultation in the field of occupational health and safety; technology consultation in the field of safety; providing on-line non-downloadable software for occupational health and safety applications; providing on-line non-downloadable software for safety applications; providing temporary use of non-downloadable cloud-based software for occupational health and safety applications.

36.

SENTINEL OCCUPATIONAL SAFETY

      
Application Number 209631600
Status Registered
Filing Date 2020-12-18
Registration Date 2023-12-29
Owner Aptima, Inc. (USA)
NICE Classes  ? 35 - Advertising and business services

Goods & Services

(1) Business consultation in the field of occupational health and safety; Business consultancy services in the field of home and occupational health and safety; Business consultancy services in the field of implementing home and occupational health and safety programs; Business management consulting services in the field of occupational health and safety.

37.

SIDEKICK

      
Serial Number 90369542
Status Pending
Filing Date 2020-12-09
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable chatbot software using artificial intelligence for human-artificial intelligence teaming; Downloadable chatbot software using artificial intelligence for understanding the needs of a user and the context in which they operate; Downloadable chatbot software using artificial intelligence for providing the right information for maximizing performance in critical situations; Downloadable chatbot software for human-artificial intelligence teaming; Downloadable chatbot software for enabling human-artificial intelligence teaming in complex environments; Downloadable chatbot software for understanding the needs of a user and the context in which they operate; Downloadable chatbot software for providing the right information for maximizing performance in critical situations; Downloadable computer software platforms for human-artificial intelligence teaming that use artificial intelligence for contextual reasoning; Downloadable computer software platforms for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; Downloadable computer software platforms for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning; Downloadable computer software for human-artificial intelligence teaming by using artificial intelligence for contextual reasoning; Downloadable computer software for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; Downloadable computer software for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning Business consultation in the field of artificial intelligence implementation; Business consultation in the field of enabling human-artificial intelligence teaming in complex environments; Research and development and consultation related thereto in the field of maximizing performance in critical situations, namely, maximizing performance using artificial intelligence for contextual reasoning Providing on-line non-downloadable software for human-artificial intelligence teaming that uses artificial intelligence for contextual reasoning; Providing on-line non-downloadable software for understanding the needs of a user and the context in which they operate by using artificial intelligence for contextual reasoning; Providing on-line non-downloadable software for providing the right information for maximizing performance in critical situations by using artificial intelligence for contextual reasoning; Research and development and consultation related thereto in the field of human-artificial intelligence teaming, namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning; Research and development and consultation related thereto in the field of enabling human-artificial intelligence teaming in complex environments, namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning; Research and development and consultation related thereto in the field of understanding the needs of a user and the context in which they operate using artificial intelligence for contextual reasoning; Research and development and consultation related thereto in the field of maximizing performance in critical situations namely, maximizing performance using artificial intelligence for contextual reasoning; Technology consultation and research in the field of enabling human-artificial intelligence teaming in complex environments, namely, enabling human-artificial teaming using artificial intelligence for contextual reasoning; Technology consultation and research in the field of understanding the needs of a user and the context in which they operate using artificial intelligence for contextual reasoning; Technology consultation and research in the field of maximizing performance in critical situations namely, maximizing performance using artificial intelligence for contextual reasoning; Technology consultation and research in the field of human-artificial intelligence teaming namely, human-artificial intelligence teaming using artificial intelligence for contextual reasoning

38.

SENTINEL OCCUPATIONAL SAFETY

      
Serial Number 90335179
Status Registered
Filing Date 2020-11-22
Registration Date 2022-05-24
Owner Aptima, Inc. ()
NICE Classes  ? 35 - Advertising and business services

Goods & Services

Business consultation in the field of occupational health and safety; Business consultation in the field of safety; Business consultation in the field of implementing safety programs; Business management consulting services in the field of occupational health and safety

39.

SENTINEL

      
Serial Number 90335165
Status Registered
Filing Date 2020-11-22
Registration Date 2022-05-24
Owner Aptima, Inc. ()
NICE Classes  ? 35 - Advertising and business services

Goods & Services

Business consultation in the field of occupational health and safety; Business consultation in the field of safety; Business consultation in the field of implementing safety programs; Business management consulting services in the field of occupational health and safety

40.

SAFETY AS A SERVICE

      
Application Number 1560753
Status Registered
Filing Date 2020-09-28
Registration Date 2020-09-28
Owner Aptima, Inc. (USA)
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer software for health and safety monitoring that may be downloaded from a global computer network; computer software for safety monitoring that may be downloaded from a global computer network; downloadable cloud-based software for health and safety monitoring; recorded computer software for health and safety monitoring; recorded computer software for safety monitoring. Business consultation in the field of occupational health and safety; business consultation in the field of safety; business management consulting services in the field of occupational health and safety. Software as a service (SAAS) services featuring software for occupational health and safety applications; providing on-line non-downloadable software for occupational health and safety applications; providing on-line non-downloadable software for safety applications; providing temporary use of non-downloadable cloud-based software for occupational health and safety applications; research and development and consultation related thereto in the field of occupational health and safety; technology consultation and research in the field of occupational health and safety; technology consultation and research in the field of safety; technology consultation in the field of occupational health and safety; technology consultation in the field of safety.

41.

Communications training system

      
Application Number 15437399
Grant Number 10818193
Status In Force
Filing Date 2017-02-20
First Publication Date 2020-10-27
Grant Date 2020-10-27
Owner Aptima, Inc. (USA)
Inventor
  • Sullivan, Kevin
  • Roberts, Matthew
  • Knapp, Michael
  • Riordan, Brian

Abstract

A communications training system is provided having a user interface, a computer-based simulator and a performance measurement database. The user interface is configured to receive a speech communication input from the user based on a training content and the computer-based simulator is configured to transform the speech communication to a text data whereby the text data can be aligned to performance measurement database values to determine a performance measure of the speech communication. The format of the text data and the performance measurement database values enable the speech communication to be aligned with predefined performance measurement database values representing expected speech communications for that training content.

IPC Classes  ?

  • G09B 5/06 - Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
  • G09B 5/04 - Electrically-operated educational appliances with audible presentation of the material to be studied
  • G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
  • G09B 9/00 - Simulators for teaching or training purposes
  • G09B 19/04 - Speaking
  • G10L 15/26 - Speech to text systems
  • G10L 15/187 - Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
  • G06F 40/30 - Semantic analysis

42.

Systems and methods of power management

      
Application Number 15952305
Grant Number 10803405
Status In Force
Filing Date 2018-04-13
First Publication Date 2020-10-13
Grant Date 2020-10-13
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Schurr, Nathan
  • Hering, Darby
  • Zakin, Mitch

Abstract

Methods for power management are disclosed comprising a process of predefining one or more power mode for a user application, providing a processor based device and user interface configured to operate with the device to support the user with tasks using the user application, the user application communicating an intent message to a transformative power management (TPM) application and the TPM configured to define and output a power mode instruction for the application given the intention and the predefined power modes. In some embodiments, the methods are implemented on a processor based device. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

IPC Classes  ?

  • G06F 1/26 - Power supply means, e.g. regulation thereof
  • G06N 20/00 - Machine learning
  • G06F 1/3203 - Power management, i.e. event-based initiation of a power-saving mode

43.

Simulation based training system for measurement of team cognitive load to automatically customize simulation content

      
Application Number 15850998
Grant Number 10783801
Status In Force
Filing Date 2017-12-21
First Publication Date 2020-09-22
Grant Date 2020-09-22
Owner Aptima, Inc. (USA)
Inventor
  • Beaubien, Jeffrey
  • Feeney, John J.
  • Depriest, William N.
  • Pappada, Scott M.

Abstract

In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.

IPC Classes  ?

  • A61B 5/16 - Devices for psychotechnicsTesting reaction times
  • G09B 9/00 - Simulators for teaching or training purposes
  • G09B 7/10 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers wherein a set of answers is common to a plurality of questions
  • A61B 5/0476 - Electroencephalography
  • A61B 5/0245 - Measuring pulse rate or heart rate using sensing means generating electric signals
  • G09B 19/00 - Teaching not covered by other main groups of this subclass

44.

SAFEGUARD

      
Serial Number 90081173
Status Registered
Filing Date 2020-07-29
Registration Date 2022-08-30
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for analyzing human health and safety data; Downloadable computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; Downloadable computer software for collection and networking of occupation awareness data via secure communication protocols; Downloadable computer software for optimizing work safety, regulatory compliance, and safety-related expenses for use in the health and safety fields; Recorded computer software for analyzing human health and safety data; Recorded computer software for optimizing worker safety, regulatory compliance, and safety-related expenses; Recorded computer software for collection and networking of occupation awareness data via secure communication protocols; Recorded computer software for optimizing worker safety, regulatory compliance, and safety-related expenses for use in the health and safety fields Providing on-line non-downloadable software for the collection and networking of occupation awareness data via secure communication protocols; Providing on-line non-downloadable software for optimizing worker safety, regulatory compliance, and safety-related expenses for use in health and safety fields; Providing on-line non-downloadable software for analyzing human health and safety data; Providing temporary use of non-downloadable cloud-based software for the collection and networking of occupation awareness data via secure communication protocols; Providing temporary use of non-downloadable cloud-based software for optimizing worker safety, regulatory compliance, and safety-related expenses for use in the occupational health aand safety fields; Providing temporary use of non-downloadable cloud-based software for analyzing human health and safety data; Research and development and consultation related thereto in the field of of occupational health and safety; Research and development and consultation related thereto in the field of occupational awareness.; Software as a service (SAAS) services featuring software for the collection and networking of occupation awareness data via secure communication protocols; Software as a service (SAAS) services featuring software for optimizing worker safety, regulatory compliance, and safety-related expenses for use in the occupational health aand safety fields; Software as a service (SAAS) services featuring software for analyzing human health and safety data; Technology consultation and research in the field of of occupational health and safety; Technology consultation and research in the field of occupational awareness

45.

SAFETY AS A SERVICE

      
Serial Number 88855985
Status Registered
Filing Date 2020-04-01
Registration Date 2022-03-22
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software for monitoring workplace health and safety data; Downloadable computer software for monitoring workplace safety data; Downloadable cloud-based software for monitoring workplace health and safety data; Recorded computer software for monitoring workplace health and safety data; Recorded computer software for monitoring workplace safety data Business consultation in the field of occupational health and safety; Business consultation in the field of safety; Business management consulting services in the field of occupational health and safety Software as a service (SAAS) services featuring software for occupational health and safety applications in the nature of on-line non-downloadable software for monitoring workplace health and safety data; Providing on-line non-downloadable software for occupational health and safety applications in the nature of on-line non-downloadable software for monitoring workplace health and safety data; Providing on-line non-downloadable software for safety applications in the nature of on-line non-downloadable software for monitoring workplace safety data; Providing temporary use of non-downloadable cloud-based software for occupational health and safety applications in the nature of on-line non-downloadable software for monitoring workplace health and safety data; Research and development and consultation related thereto in the field of occupational health and safety; Technology consultation and research in the field of occupational health and safety; Technology consultation and research in the field of workplace safety; Technology consultation in the field of occupational health and safety; Technology consultation in the field of workplace safety

46.

YAADA

      
Serial Number 88840967
Status Registered
Filing Date 2020-03-19
Registration Date 2023-08-15
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Downloadable computer software for data analysis in the fields of machine learning, deep learning, and artificial intelligence; Downloadable computer software for automated modeling and analysis of data in the field of automated data science; Downloadable computer software for data analysis in the field of machine learning; Downloadable computer software for analysis of data in the field of automated data science; Downloadable computer software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the field of deep learning Software as a service (SAAS) services featuring software for analysis of data in the field of deep learning; Software as a service (SAAS) services featuring software for automated modeling and analysis of data in the field of automated data science; Software as a service (SAAS) services featuring software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Providing on-line non-downloadable software for data analysis; Providing on-line non-downloadable software for automated modeling and analysis of data in the field of automated data science; Providing on-line non-downloadable software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Providing temporary use of non-downloadable cloud-based software for analysis of data in the field of deep learning; Providing temporary use of non-downloadable cloud-based software for automated modeling and analysis of data in the field of automated data science; Providing temporary use of non-downloadable cloud-based software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence

47.

YET ANOTHER ANALYTIC DATAFLOW ARCHITECTURE

      
Serial Number 88839312
Status Registered
Filing Date 2020-03-18
Registration Date 2023-08-15
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Downloadable computer software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Downloadable computer software for data analysis in the fields of machine learning, deep learning, and artificial intelligence; Downloadable computer software for automated modeling and analysis of data in the field of automated data science; Downloadable computer software for data analysis in the field of machine learning; Downloadable computer software for analysis of data in the field of automated data science; Downloadable computer software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the field of deep learning Software as a service (SAAS) services featuring software for analysis of data in the field of deep learning; Software as a service (SAAS) services featuring software for automated modeling and analysis of data in the field of automated data science; Software as a service (SAAS) services featuring software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Providing on-line non-downloadable software for data analysis; Providing on-line non-downloadable software for automated modeling and analysis of data in the field of automated data science; Providing on-line non-downloadable software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence; Providing temporary use of non-downloadable cloud-based software for analysis of data in the field of deep learning; Providing temporary use of non-downloadable cloud-based software for automated modeling and analysis of data in the field of automated data science; Providing temporary use of non-downloadable cloud-based software using artificial intelligence and machine learning capabilities for automated modeling and analysis of data in the fields of machine learning, deep learning, and artificial intelligence

48.

Machine learning system for a training model of an adaptive trainer

      
Application Number 15395574
Grant Number 10552764
Status In Force
Filing Date 2016-12-30
First Publication Date 2020-02-04
Grant Date 2020-02-04
Owner Aptima, Inc. (USA)
Inventor Carlin, Alan

Abstract

In one embodiment of the invention, a training model for students is provided that models how to present training items to students in a computer based adaptive trainer. The training model receives student performance data and uses the training model to infer underlying student skill levels throughout the training sequence. Some embodiments of the training model also comprise machine learning techniques that allow the training model to adapt to changes in students skills as the student performs on training items presented by the training model. Furthermore, the training model may also be used to inform a training optimization model, or a learning model, in the form of a Partially Observable Markov Decision Process (POMDP).

IPC Classes  ?

49.

User state estimation systems and methods

      
Application Number 16362745
Grant Number 11864896
Status In Force
Filing Date 2019-03-25
First Publication Date 2019-10-17
Grant Date 2024-01-09
Owner Aptima, Inc. (USA)
Inventor
  • Durkee, Kevin
  • Pappada, Scott
  • Ortiz, Andres
  • Depriest, William
  • Feeney, John
  • Geyer, Alexandra
  • Sullivan, Seamus
  • Wiggins, Sterling

Abstract

Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

IPC Classes  ?

  • A61B 5/16 - Devices for psychotechnicsTesting reaction times
  • A61B 5/316 - Modalities, i.e. specific diagnostic methods
  • A61B 5/369 - Electroencephalography [EEG]
  • G09B 23/28 - Models for scientific, medical, or mathematical purposes, e.g. full-sized device for demonstration purposes for medicine
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

50.

Systems and methods to measure performance

      
Application Number 15098216
Grant Number 10431106
Status In Force
Filing Date 2016-04-13
First Publication Date 2019-10-01
Grant Date 2019-10-01
Owner APTIMA, INC. (USA)
Inventor
  • Tolland, Michael
  • Zuzack, Zachary

Abstract

A performance measurement system is provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.

IPC Classes  ?

  • G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
  • G09B 5/00 - Electrically-operated educational appliances
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

51.

Systems and methods for scenario generation and monitoring

      
Application Number 16198257
Grant Number 10632384
Status In Force
Filing Date 2018-11-21
First Publication Date 2019-05-16
Grant Date 2020-04-28
Owner Aptima, Inc. (USA)
Inventor
  • Stacy, E. Webb
  • Sullivan, Kevin
  • Picciano, Paul
  • Keskin, Can

Abstract

Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.

IPC Classes  ?

  • A63F 13/60 - Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
  • G09B 9/08 - Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of aircraft, e.g. Link trainer
  • G06F 9/54 - Interprogram communication

52.

Systems and methods for analyzing entity profiles

      
Application Number 15452781
Grant Number 11461373
Status In Force
Filing Date 2017-03-08
First Publication Date 2018-08-09
Grant Date 2022-10-04
Owner Aptima, Inc. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Dejordy, Richard Alexis
  • Allopenna, Paul David

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
  • G06F 16/22 - IndexingData structures thereforStorage structures
  • G06Q 10/10 - Office automationTime management

53.

Systems and methods for network pattern matching

      
Application Number 15899607
Grant Number 11627048
Status In Force
Filing Date 2018-02-20
First Publication Date 2018-07-26
Grant Date 2023-04-11
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Stacy, E. Webb
  • Shabarekh, Charlotte

Abstract

Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

IPC Classes  ?

  • H04L 12/24 - Arrangements for maintenance or administration
  • H04L 41/12 - Discovery or management of network topologies
  • G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
  • H04L 41/14 - Network analysis or design
  • H04L 41/142 - Network analysis or design using statistical or mathematical methods

54.

Systems and methods to support medical therapy decisions

      
Application Number 15739460
Grant Number 11464456
Status In Force
Filing Date 2016-08-07
First Publication Date 2018-06-21
Grant Date 2022-10-11
Owner Aptima, Inc. (USA)
Inventor
  • Pappada, Scott M.
  • Feeney, John J.
  • Depriest, William N.

Abstract

Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the “risk” for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
  • G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
  • G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
  • G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

55.

Systems and methods of power management based on user behavior

      
Application Number 14557435
Grant Number 09965725
Status In Force
Filing Date 2014-12-01
First Publication Date 2018-05-08
Grant Date 2018-05-08
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Schurr, Nathan
  • Hering, Darby
  • Zakin, Mitch

Abstract

A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

IPC Classes  ?

  • G06F 1/26 - Power supply means, e.g. regulation thereof
  • G06N 99/00 - Subject matter not provided for in other groups of this subclass
  • G06F 1/32 - Means for saving power

56.

PM ENGINE

      
Serial Number 87516693
Status Registered
Filing Date 2017-07-05
Registration Date 2018-11-20
Owner Aptima, Inc. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Downloadable software for performance analysis of individuals and teams; Downloadable software for collecting, editing, organizing, storing and sharing of data; Medical software for performance analysis of individuals and teams; Computer application software for training systems, namely, software for implementing, measuring, and assessing training effectiveness and operational readiness

57.

A-MEASURE SERVER APPLICATION

      
Serial Number 87516738
Status Registered
Filing Date 2017-07-05
Registration Date 2019-12-24
Owner Aptima, Inc. (USA)
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Providing a website featuring on-line non-downloadable software that enables users to implement, measure, and assess training effectiveness and operational readiness; Providing an online non-downloadable Internet-based system application featuring technology enabling users to implement, measure, and assess training effectiveness and operational readiness; Providing on-line non-downloadable software for performance analysis of individuals or teams; Providing on-line non-downloadable software for collecting, editing, organizing, storing and sharing of data; Providing temporary use of on-line non-downloadable software and applications for performance analysis of individuals or teams

58.

SYSTEMS AND METHODS TO SUPPORT MEDICAL THERAPY DECISIONS

      
Application Number US2016045938
Publication Number 2017/027432
Status In Force
Filing Date 2016-08-07
Publication Date 2017-02-16
Owner APTIMA, INC. (USA)
Inventor
  • Feeney, John
  • Depriest, William

Abstract

Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the "risk" for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

59.

Systems and methods to determine user state

      
Application Number 14772827
Grant Number 10265008
Status In Force
Filing Date 2014-03-13
First Publication Date 2016-01-14
Grant Date 2019-04-23
Owner Aptima, Inc. (USA)
Inventor
  • Durkee, Kevin
  • Pappada, Scott
  • Ortiz, Andres
  • Depriest, William
  • Feeney, John
  • Geyer, Alexandra
  • Sullivan, Seamus
  • Wiggins, Sterling

Abstract

Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

IPC Classes  ?

  • A61B 5/0476 - Electroencephalography
  • G09B 23/28 - Models for scientific, medical, or mathematical purposes, e.g. full-sized device for demonstration purposes for medicine
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
  • A61B 5/16 - Devices for psychotechnicsTesting reaction times
  • A61B 5/04 - Measuring bioelectric signals of the body or parts thereof
  • A61B 5/00 - Measuring for diagnostic purposes Identification of persons

60.

Systems and methods for analyzing entity profiles

      
Application Number 14809231
Grant Number 09594825
Status In Force
Filing Date 2015-07-26
First Publication Date 2016-01-14
Grant Date 2017-03-14
Owner Aptima, Inc. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Dejordy, Richard Alexis
  • Allopenna, Paul David

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 17/30 - Information retrieval; Database structures therefor
  • G06Q 10/10 - Office automationTime management

61.

HUMAN-CENTERED INNOVATIONS

      
Serial Number 86816283
Status Registered
Filing Date 2015-11-11
Registration Date 2016-11-01
Owner Aptima, Inc. ()
NICE Classes  ?
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Business management and consultation in the field of human factors engineering; Business management and consultation in the field of applying cognitive science techniques for business purposes; Business management and consultation in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Business management and consultation in the field of intelligence and security technology; Compiling and analyzing statistics, data and other sources of information for business purposes Scientific research and development; Scientific research, development and consulting services in the fields of: physical and life sciences, engineering, management, cognitive sciences, social sciences and computer sciences; Product research and development; Computer software design and development; Design and development of multimedia products; Scientific research, development and consultation related thereto in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Medical and scientific research in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Engineering services in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Scientific research in the field of intelligence and security; Engineering management and engineering consultation in the field of human factors engineering; Engineering management and engineering consultation in the field of applying cognitive science techniques for business purposes; Information technology consultation in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Information technology consultation in the field of intelligence and security technology

62.

HUMAN-CENTERED ENGINEERING

      
Serial Number 86816251
Status Registered
Filing Date 2015-11-11
Registration Date 2017-09-19
Owner Aptima, Inc. ()
NICE Classes  ?
  • 09 - Scientific and electric apparatus and instruments
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer software programs for modeling, simulating or measuring; Computer software programs for modeling, simulating or measuring to support products and services related to the cognitive sciences; Computer software programs for modeling, simulating or measuring to support the use of cognitive science techniques for business and research purposes; Computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Computer software programs for the integration of text, audio and graphics into an interactive delivery for multimedia applications Business management and consultation in the field of human factors engineering; Business management and consultation in the field of applying cognitive science techniques for business purposes; Business management and consultation in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Business management and consultation in the field of intelligence and security technology; Compiling and analyzing statistics, data and other sources of information for business purposes Scientific research and development; Scientific research, development and consulting services in the fields of: engineering, management, cognitive sciences, social sciences and computer sciences; Product research and development; Computer software design and development; Design and development of multimedia products; Scientific research, development and consultation related thereto in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Scientific research in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Engineering services in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Scientific research in the field of intelligence and security; Engineering management and consultation in the field of human factors engineering; Engineering management and consultation in the field of applying cognitive science techniques for business purposes; Information technology consultation in the fields of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, cognitive modeling, human-machine interaction, data extraction or human language translation; Information technology consultation in the field of intelligence and security technology

63.

Systems and methods of cognitive patterns knowledge generation

      
Application Number 14738908
Grant Number 10140582
Status In Force
Filing Date 2015-06-14
First Publication Date 2015-10-08
Grant Date 2018-11-27
Owner APTIMA, INC. (USA)
Inventor
  • Stacy, E. Webb
  • Geyer, Alexandra

Abstract

A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.

IPC Classes  ?

  • G06N 99/00 - Subject matter not provided for in other groups of this subclass
  • G06N 5/02 - Knowledge representationSymbolic representation
  • G06N 5/04 - Inference or reasoning models

64.

Clinical support systems and methods

      
Application Number 14433501
Grant Number 11081234
Status In Force
Filing Date 2013-10-03
First Publication Date 2015-08-13
Grant Date 2021-08-03
Owner APTIMA, INC. (USA)
Inventor Pappada, Scott

Abstract

Embodiments of clinical support systems and methods are disclosed. In one embodiment, methods for clinical performance measurement are disclosed comprising defining a range of acceptable treatment variable values for a treatment variable of a subject, performing a selected intervention, determining an affected treatment variable value and determining a selection performance measure by comparing the affected treatment variable value to the acceptable treatment variable values. In one embodiment, methods for clinical decision training are disclosed comprising defining a treatment variable of a simulated subject, selecting an intervention on the treatment variable, modeling the selected intervention and presenting a visual representation of the selected intervention. In one embodiment, methods for clinical decision support are disclosed comprising defining a treatment variable of a subject, presenting a decision support variable as clinical decision support, performing a selected intervention and determining an affected treatment variable value.

IPC Classes  ?

  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

65.

Systems and methods for network pattern matching

      
Application Number 14379503
Grant Number 09917739
Status In Force
Filing Date 2012-12-31
First Publication Date 2015-02-19
Grant Date 2018-03-13
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Stacy, E. Webb
  • Shabarekh, Charlotte

Abstract

Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

IPC Classes  ?

  • H04L 12/24 - Arrangements for maintenance or administration
  • G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism

66.

Systems and methods of power management

      
Application Number 13088607
Grant Number 08909950
Status In Force
Filing Date 2011-04-18
First Publication Date 2014-12-09
Grant Date 2014-12-09
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Schurr, Nathan
  • Hering, Darby E.
  • Zakin, Mitch

Abstract

A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.

IPC Classes  ?

  • G06F 1/26 - Power supply means, e.g. regulation thereof
  • H04M 3/00 - Automatic or semi-automatic exchanges

67.

USER STATE ESTIMATION SYSTEMS AND METHODS

      
Application Number US2014025152
Publication Number 2014/159793
Status In Force
Filing Date 2014-03-13
Publication Date 2014-10-02
Owner APTIMA, INC. (USA)
Inventor
  • Pappada, Scott
  • Ortiz, Andres
  • Depriest, William
  • Feeney, John
  • Geyer, Alexandra
  • Sullivan, Seamus
  • Wiggins, Sterling

Abstract

Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.

IPC Classes  ?

  • G06F 15/18 - in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines (adaptive control systems G05B 13/00;artificial intelligence G06N)

68.

Probabilistic decision making system and methods of use

      
Application Number 14143410
Grant Number 10846606
Status In Force
Filing Date 2013-12-30
First Publication Date 2014-07-10
Grant Date 2020-11-24
Owner Aptima, Inc. (USA)
Inventor
  • Levchuk, Georgiy
  • Freeman, Jared
  • Shebilske, Wayne

Abstract

Embodiments of this invention comprise modeling a subject's state and the influence of training treatments, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. Utilizing this model and the resulting training policy with subjects creates an effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy.

IPC Classes  ?

  • G06N 7/00 - Computing arrangements based on specific mathematical models
  • G06Q 50/20 - Education

69.

Systems and methods for scenario generation and monitoring

      
Application Number 14116611
Grant Number 10179287
Status In Force
Filing Date 2012-05-09
First Publication Date 2014-04-17
Grant Date 2019-01-15
Owner APTIMA, INC. (USA)
Inventor
  • Stacy, E. Webb
  • Sullivan, Kevin
  • Picciano, Paul
  • Keskin, Can

Abstract

Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.

IPC Classes  ?

  • A63F 13/60 - Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
  • G09B 9/08 - Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of aircraft, e.g. Link trainer
  • G06F 9/54 - Interprogram communication

70.

CLINICAL SUPPORT SYSTEMS AND METHODS

      
Application Number US2013063178
Publication Number 2014/055718
Status In Force
Filing Date 2013-10-03
Publication Date 2014-04-10
Owner APTIMA, INC. (USA)
Inventor Pappada, Scott

Abstract

Embodiments of clinical support systems and methods are disclosed. In one embodiment, methods for clinical performance measurement are disclosed comprising defining a range of acceptable treatment variable values for a treatment variable of a subject, performing a selected intervention, determining an affected treatment variable value and determining a selection performance measure by comparing the affected treatment variable value to the acceptable treatment variable values. In one embodiment, methods for clinical decision training are disclosed comprising defining a treatment variable of a simulated subject, selecting an intervention on the treatment variable, modeling the selected intervention and presenting a visual representation of the selected intervention. In one embodiment, methods for clinical decision support are disclosed comprising defining a treatment variable of a subject, presenting a decision support variable as clinical decision support, performing a selected intervention and determining an affected treatment variable value.

IPC Classes  ?

  • G06Q 50/22 - Social work or social welfare, e.g. community support activities or counselling services
  • G06Q 50/24 - Patient record management (processing of medical or biological data for scientific purposes G06F 19/00)

71.

Systems and methods to customize student instruction

      
Application Number 13872519
Grant Number 10290221
Status In Force
Filing Date 2013-04-29
First Publication Date 2013-10-31
Grant Date 2019-05-14
Owner Aptima, Inc. (USA)
Inventor
  • Stacy, E. Webb
  • Dean, Courtney
  • Carlin, Alan
  • Dumond, Danielle

Abstract

A computer implemented systems and methods for determining an action for a user within a learning domain are disclosed, some embodiments of the methods comprise defining an initial learning model of a learning domain, determining an initial user state of the user, determining an initial user action from at least one learning domain action with the initial learning model, receiving a user observation of the user after the user executes the initial user action, determining an updated user state with the initial learning model given the updated user observation and determining a subsequent user action from the at least one learning domain action. Some embodiments utilize a Partially Observable Markov Model (POMDP) as the learning model.

IPC Classes  ?

  • G09B 7/00 - Electrically-operated teaching apparatus or devices working with questions and answers
  • G09B 5/00 - Electrically-operated educational appliances
  • G06N 99/00 - Subject matter not provided for in other groups of this subclass

72.

SYSTEMS AND METHODS FOR NETWORK PATTERN MATCHING

      
Application Number US2012072313
Publication Number 2013/126144
Status In Force
Filing Date 2012-12-31
Publication Date 2013-08-29
Owner APTIMA, INC. (USA)
Inventor
  • Levchuk, Georgiy
  • Stacy, E. Webb
  • Shabarekh, Charlotte

Abstract

Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

IPC Classes  ?

  • H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]

73.

Systems and methods to react to environmental input

      
Application Number 13674429
Grant Number 09293054
Status In Force
Filing Date 2012-11-12
First Publication Date 2013-05-16
Grant Date 2016-03-22
Owner Aptima, Inc. (USA)
Inventor
  • Bruni, Sylvain
  • Chang, Andy
  • Carlin, Alan
  • Marc, Yale
  • Swanson, Leah
  • Pratt, Stephanie
  • Mizrahi, Gilbert

Abstract

Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.

IPC Classes  ?

  • G08G 5/04 - Anti-collision systems
  • G08G 5/00 - Traffic control systems for aircraft
  • G08G 1/16 - Anti-collision systems
  • G01S 13/93 - Radar or analogous systems, specially adapted for specific applications for anti-collision purposes
  • A61B 5/18 - Devices for psychotechnicsTesting reaction times for vehicle drivers
  • B60K 28/06 - Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver

74.

SYSTEMS AND METHODS FOR SCENARIO GENERATION AND MONITORING

      
Application Number US2012037143
Publication Number 2012/158432
Status In Force
Filing Date 2012-05-09
Publication Date 2012-11-22
Owner APTIMA INC (USA)
Inventor
  • Stacy, Webb, E.
  • Picciano, Paul
  • Sullivan, Kevin
  • Keskin, Can

Abstract

Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Also disclosed are processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.

IPC Classes  ?

  • G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines

75.

Systems and methods to define and monitor a scenario of conditions

      
Application Number 13502120
Grant Number 10891408
Status In Force
Filing Date 2010-11-04
First Publication Date 2012-08-16
Grant Date 2021-01-12
Owner Aptima, Inc. (USA)
Inventor
  • Stacy, E. Webb
  • Colonna-Romano, John

Abstract

Systems and methods to define a scenario of conditions comprising the steps of defining at least one condition for at least one educational objective, the at least one condition being represented by a constraint and scheduling the conditions into a scenario of conditions. In some embodiments, the scheduling is performed by analyzing the constraints using constraint programming. In some embodiments, the constraints comprise mathematical or computational constraints representing a range of variables. Also disclosed are systems and methods to monitor a scenario of conditions.

IPC Classes  ?

  • G09B 19/00 - Teaching not covered by other main groups of this subclass
  • G06F 30/20 - Design optimisation, verification or simulation
  • G06F 111/04 - Constraint-based CAD
  • G09B 19/02 - CountingCalculating
  • G09B 23/02 - Models for scientific, medical, or mathematical purposes, e.g. full-sized device for demonstration purposes for mathematics
  • G09B 23/00 - Models for scientific, medical, or mathematical purposes, e.g. full-sized device for demonstration purposes

76.

Systems and methods for quantifying reactions to communications

      
Application Number 12955498
Grant Number 08407026
Status In Force
Filing Date 2010-11-29
First Publication Date 2011-11-10
Grant Date 2013-03-26
Owner Aptima, Inc. (USA)
Inventor Schlicht, Erik J.

Abstract

Embodiments of methods and systems are described that provide methods for quantifying an entity's reaction to one or more communication signals by quantifying a probabilistic relationship between the communication signal and a known relationship of an attribute to the communication signal. With this quantification, the entity's reaction can be modeled as probability distributions that can be compared to the communication signal and known relationship. With this information, an entity's reactions can be compared to an ideal algorithm that optimally integrates the known relationships and communication signals to arrive at an optimal reaction. By making this comparison between the entity's reaction and an optimal reaction, a quantitative calibration measure can be determined. The meaning of the communication signals, or relationships to an attribute, may or may not be known and in embodiments the quantification of reactions can provide an ability to estimate an unknown attribute from the communication signals.

IPC Classes  ?

  • G06F 17/18 - Complex mathematical operations for evaluating statistical data

77.

Systems and methods of cognitive patterns knowledge generation

      
Application Number 13052543
Grant Number 09058561
Status In Force
Filing Date 2011-03-21
First Publication Date 2011-09-22
Grant Date 2015-06-16
Owner Aptima, Inc. (USA)
Inventor
  • Stacy, E. Webb
  • Geyer, Alexandra

Abstract

A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.

IPC Classes  ?

  • G06F 15/18 - in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines (adaptive control systems G05B 13/00;artificial intelligence G06N)
  • G06N 5/02 - Knowledge representationSymbolic representation

78.

SYSTEMS AND METHODS TO DEFINE AND MONITOR A SCENARIO OF CONDITIONS

      
Application Number US2010055525
Publication Number 2011/057026
Status In Force
Filing Date 2010-11-04
Publication Date 2011-05-12
Owner APTIMA, INC. (USA)
Inventor
  • Colonna-Romano, John
  • Stacy, E. Webb

Abstract

Systems and methods to define a scenario of conditions comprising the steps of defining at least one condition for at least one educational objective, the at least one condition being represented by a constraint and scheduling the conditions into a scenario of conditions. In some embodiments, the scheduling is performed by analyzing the constraints using constraint programming. In some embodiments, the constraints comprise mathematical or computational constraints representing a range of variables. Also disclosed are systems and methods to monitor a scenario of conditions.

IPC Classes  ?

  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
  • G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines

79.

Method and system to predict a data value

      
Application Number 12987147
Grant Number 08781989
Status In Force
Filing Date 2011-01-09
First Publication Date 2011-05-05
Grant Date 2014-07-15
Owner Aptima, Inc. (USA)
Inventor Duchon, Andrew P.

Abstract

Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.

IPC Classes  ?

  • G06F 9/44 - Arrangements for executing specific programs
  • G06N 7/02 - Computing arrangements based on specific mathematical models using fuzzy logic
  • G06N 7/06 - Simulation on general purpose computers

80.

DYNAMIC PROCESS MODELING ASSEMBLY AND METHOD OF USE

      
Application Number US2010042207
Publication Number 2011/041012
Status In Force
Filing Date 2010-07-16
Publication Date 2011-04-07
Owner APTIMA, INC (USA)
Inventor
  • Hering, Darby E.
  • Kapopoulos, Charles A.
  • Freeman, Jared
  • Weston, Mark

Abstract

A method for modeling a process comprising receiving a first formatted data input representing a process element and a second formatted data input representing a process element, executing a simulation and determining a measure representing the simulation of the process element given the entity element. In some embodiments, the process element represents a business process and the entity element represents a resource unit and the simulation comprises a temporal simulation. Some embodiments further comprise the measure being a completeness measure associated with a decay rate or a repair rate. Some embodiments also include the measure comprising an information product completeness measure. Some embodiments also include automatically determining the process element and the entity element. Systems, to include processor based embodiments having a computer program product to perform the methods are also disclosed.

IPC Classes  ?

  • G06F 9/06 - Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
  • G06F 9/44 - Arrangements for executing specific programs

81.

Systems and methods for analyzing entity profiles

      
Application Number 12993907
Grant Number 09123022
Status In Force
Filing Date 2009-05-27
First Publication Date 2011-03-24
Grant Date 2015-09-01
Owner Aptima, Inc. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Allopenna, Paul
  • Dejordy, Rich

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 17/30 - Information retrieval; Database structures therefor
  • G06Q 10/10 - Office automationTime management

82.

Method and system to compare data objects

      
Application Number 12910823
Grant Number 08180777
Status In Force
Filing Date 2010-10-24
First Publication Date 2011-02-17
Grant Date 2012-05-15
Owner Aptima, Inc. (USA)
Inventor
  • Duchon, Andrew
  • Kelton, Kari
  • Foster, Pacey
  • Orvis, Kara
  • Mccormack, Robert

Abstract

The present invention relates in general to methods and systems for comparing and maximizing the optimal selection of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, methods and systems are provided that apply topic modeling and similarity metrics to determine the optimal selection. In one embodiment, methods and systems are provided to determine the appropriateness of a set of second data objects to satisfy the requirements of a first data object given interaction attributes. Embodiments may be used to compare mission requirements with potential team members to determine the appropriateness of team members and teams for a given mission based on interaction attributes of the team members and teams.

IPC Classes  ?

  • G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled
  • G06F 17/30 - Information retrieval; Database structures therefor

83.

Probabilistic decision making system and methods of use

      
Application Number 12921755
Grant Number 08655822
Status In Force
Filing Date 2009-03-11
First Publication Date 2011-01-20
Grant Date 2014-02-18
Owner
  • Aptima, Inc. (USA)
  • Wright State University (USA)
Inventor
  • Levchuk, Georgiy
  • Freeman, Jared
  • Shebilske, Wayne

Abstract

Embodiments of this invention comprise modeling a subject's state and the influence of training scenarios, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. The POMDP is well suited to decision-theoretic planning under uncertainty. Utilizing this model and the resulting training policy with real world subjects creates a surprisingly effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. POMDP provides a more valid representation of trainee state and training effects, thus it is capable of producing more valid recommendations concerning how to structure training to subjects.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06N 5/02 - Knowledge representationSymbolic representation
  • G06F 15/18 - in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines (adaptive control systems G05B 13/00;artificial intelligence G06N)
  • G06N 5/04 - Inference or reasoning models

84.

Method and system to predict the likelihood of topics

      
Application Number 12812250
Grant Number 09165254
Status In Force
Filing Date 2009-01-13
First Publication Date 2010-11-04
Grant Date 2015-10-20
Owner Aptima, Inc. (USA)
Inventor
  • Duchon, Andrew P.
  • Mccormack, Robert
  • Salter, William J.
  • Allopenna, Paul David
  • Weil, Shawn
  • Colonna-Romano, John
  • Kramer, David

Abstract

The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.

IPC Classes  ?

  • G06N 5/02 - Knowledge representationSymbolic representation
  • G06N 7/00 - Computing arrangements based on specific mathematical models
  • G06Q 10/10 - Office automationTime management

85.

SYSTEMS AND METHODS FOR ANALYZING ENTITY PROFILES

      
Application Number US2009045351
Publication Number 2010/008685
Status In Force
Filing Date 2009-05-27
Publication Date 2010-01-21
Owner APTIMA, INC. (USA)
Inventor
  • Skarin, Bruce
  • Duchon, Andrew
  • Allopenna, Paul
  • Dejordy, Rich

Abstract

Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.

IPC Classes  ?

  • G06F 17/30 - Information retrieval; Database structures therefor
  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions

86.

METHOD AND SYSTEM TO PREDICT THE LIKELIHOOD OF TOPICS

      
Application Number US2009030876
Publication Number 2009/134462
Status In Force
Filing Date 2009-01-13
Publication Date 2009-11-05
Owner APTIMA, INC. (USA)
Inventor
  • Duchon, Andrew
  • Salter, William, Jeffrey
  • Allopenna, Paul, David
  • Weil, Shawn
  • Kramer, David, Scott
  • Colonna-Romano, John
  • Mccormack, Robert

Abstract

The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over a dimension of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)

87.

PROBABILISTIC DECISION MAKING SYSTEM AND METHODS OF USE

      
Application Number US2009036865
Publication Number 2009/114649
Status In Force
Filing Date 2009-03-11
Publication Date 2009-09-17
Owner APTIMA, INC. (USA)
Inventor
  • Levchuk, Georgiy
  • Freeman, Jared
  • Shebilske, Wayne

Abstract

Embodiments of this invention comprise modeling a subject's state and the influence of training scenarios, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. The POMDP is well suited to decision-theoretic planning under uncertainty. Utilizing this model and the resulting training policy with real world subjects creates a surprisingly effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. POMDP provides a more valid representation of trainee state and training effects, thus it is capable of producing more valid recommendations concerning how to structure training to subjects.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06F 9/00 - Arrangements for program control, e.g. control units
  • G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled

88.

System and method for comparing system features

      
Application Number 12244798
Grant Number 08407173
Status In Force
Filing Date 2008-10-03
First Publication Date 2009-07-30
Grant Date 2013-03-26
Owner Aptima, Inc. (USA)
Inventor
  • Estock, Jamie L.
  • Mccormack, Robert K.
  • Stelzer, Emily K M
  • Engel, Kathryn
  • Alexander Horrey, Amy

Abstract

Embodiments of the disclosed systems and methods establish quantitative relationships between system features and system objectives. In some embodiments, the features have a plurality of feature values related to the objective and the methods comprise analyzing a mathematical functional relationship between the plurality of feature values and the objective to create a plurality of objective values reflecting the ability of the feature values to satisfy the objective, selecting a feature value and analyzing the relationship to create an objective value; and generating an objective measure reflecting the objective value. In some embodiments, the mathematical function comprises a polynomial interpolation. In some embodiments, the features are a fidelity dimension and the feature values are values of fidelity in a processor based aircraft simulator.

IPC Classes  ?

  • G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
  • G06N 5/02 - Knowledge representationSymbolic representation

89.

Method and system to compare data entities

      
Application Number 12014750
Grant Number 07822750
Status In Force
Filing Date 2008-01-15
First Publication Date 2008-10-09
Grant Date 2010-10-26
Owner Aptima, Inc (USA)
Inventor
  • Duchon, Andrew
  • Kelton, Kari
  • Foster, Pacey
  • Orvis, Kara

Abstract

The present invention relates in general to methods and systems for comparing and maximizing the appropriateness of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, this invention provides an effective and accurate method and system to compare and maximize the appropriateness between the requirements of a task and the second set's capabilities, while these capabilities and requirements are contained, even if only latently, in data objects such as written documents, electronic databases or other sources of data and information. In one embodiment, topic modeling techniques are utilized to compare the data objects.

IPC Classes  ?

  • G06F 17/30 - Information retrieval; Database structures therefor

90.

A-MEASURE

      
Serial Number 77312352
Status Registered
Filing Date 2007-10-24
Registration Date 2008-04-08
Owner Aptima, Inc. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Computer software for the collection, editing, organizing, modifying, book marking, transmission, storage and sharing of data and information; Computer software for creating searchable databases of information and data; Computer software for implementing, measuring and assessing training effectiveness and operational readiness; Computer software for implementing, measuring and assessing training effectiveness and operational readinessthat may be downloaded from a global computer network; Computer software platforms for implementing, measuring and assessing training effectiveness and operational readiness; Medical software for implementing, measuring and assessing training effectiveness and operational readiness; Computer programs for implementing, measuring and assessing training effectiveness and operational readiness

91.

COMPASS

      
Serial Number 77312342
Status Registered
Filing Date 2007-10-24
Registration Date 2008-08-19
Owner Aptima, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Engineering services, namely, engineering for the assessment of team, system or individual performance; Research and development of advanced learning technologies and teaching methods; Research and development and consultation related thereto in the field of cognitive, behavioral, and training sciences and human factors engineering

92.

SPOTLITE

      
Serial Number 77312348
Status Registered
Filing Date 2007-10-24
Registration Date 2013-03-12
Owner Aptima, Inc. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Computer software for measuring and assessing team, system or individual performance; Computer software for measuring and assessing team, system or individual performance that may be downloaded from a global computer network; Computer software platforms for measuring and assessing team, system or individual performance; Medical software for measuring and assessing team, system or individual performance; Computer programs for measuring and assessing team, system or individual performance

93.

APTIMA

      
Serial Number 77975375
Status Registered
Filing Date 2007-08-29
Registration Date 2008-11-11
Owner Aptima, Inc. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Computer hardware and computer software programs for the integration of text, audio, graphics, still images and moving pictures into an interactive delivery for multimedia applications; computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation; computer software for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation that may be downloaded from a global computer network; computer software platforms for modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation

94.

APTIMA

      
Serial Number 77267375
Status Registered
Filing Date 2007-08-29
Registration Date 2008-04-01
Owner Aptima, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Computer software development; Design and development of computer hardware and software; Design and development of multimedia products; Design, development and implementation of software; Product research and development; Research and development and consultation related thereto in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation.; Research in the field of intelligence and security; Scientific research and development; Survey design and research; Technology consultation and research in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation.; Technology consultation in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation.; Medical and scientific research in the field of modeling, simulation, computer-based training, performance measurement, performance assessment, performance feedback, data capture, cognitive computing, data extraction and human language translation.; Consultation in the field of ergonomics, namely, designing workplace facilities and equipment to optimize efficiency and safety; Management and consultation in the field of human factors engineering

95.

APTIMA

      
Serial Number 76031168
Status Registered
Filing Date 2000-04-18
Registration Date 2001-04-03
Owner Aptima, Inc. ()
NICE Classes  ? 35 - Advertising and business services

Goods & Services

management and consultation in the field of human factors engineering