Systems and methods for detecting a physiological response to neuronal activation include a wearable device configured to be worn on a portion of an arm of a user. The wearable device includes a plurality of electrodes configured to detect biopotential signals from the user's arm and a processor coupled to the plurality of electrodes. The processor is configured to analyze biopotential data derived from the biopotential signals to determine an activation level of the user and generate an output indicating the activation level of the user. The system may include additional sensors such as an inertial measurement unit, a photoplethysmography sensor, a galvanic skin response sensor, a temperature sensor, an electrocardiogram sensor, and an ambient light sensor to provide complementary data for analysis. The processor may classify the activation level, trigger actions based on the determined level, and correlate the activation level with cognitive performance.
A61B 5/16 - Dispositifs pour la psychotechnieTest des temps de réaction
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/01 - Mesure de la température de parties du corps
A61B 5/0205 - Évaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p. ex. de l'état cardiaque et respiratoire
A61B 5/029 - Mesure du débit de sang à la sortie du cœur, p. ex. volume éjecté par minute
A61B 5/0295 - Mesure du débit sanguin utilisant la pléthysmographie, c.-à-d. par mesure des variations du volume d'une partie du corps induites par la circulation du sang qui traverse cette partie, p. ex. pléthysmographie par impédance
A61B 5/0533 - Mesure de la réaction cutanée galvanique
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/256 - Électrodes portables, p. ex. avec des sangles ou des bandes
Systems and methods for biometric analysis are described. In some embodiments, a system may include a wearable device configured to be worn on a portion of an arm of a user while the user sleeps. The wearable device may include a plurality of electrodes disposed on an interior of the wearable device and configured to obtain biopotential signals from the user's arm. The system also may include a processor configured to analyze biopotential data derived from the biopotential signals to determine one or more characteristics relating to sleep of the user, and generate an output based on the one or more characteristics relating to the sleep of the user.
A61B 5/0205 - Évaluation simultanée de l'état cardio-vasculaire et de l'état d'autres parties du corps, p. ex. de l'état cardiaque et respiratoire
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/16 - Dispositifs pour la psychotechnieTest des temps de réaction
A61B 5/256 - Électrodes portables, p. ex. avec des sangles ou des bandes
G16H 15/00 - TIC spécialement adaptées aux rapports médicaux, p. ex. leur création ou leur transmission
G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p. ex. la physiothérapie, l’acupression ou les exercices
3.
SYSTEMS AND METHODS FOR MONITORING SLEEP BASED ON SURFACE BIOPOTENTIALS
Systems and methods for biometric analysis are described. In some embodiments, a system may include a wearable device configured to be worn on a portion of an arm of a user while the user sleeps. The wearable device may include a plurality of electrodes disposed on an interior of the wearable device and configured to obtain biopotential signals from the user's arm. The system also may include a processor configured to analyze biopotential data derived from the biopotential signals to determine one or more characteristics relating to sleep of the user, and generate an output based on the one or more characteristics relating to the sleep of the user.
Disclosed are methods, systems and non-transitory computer readable memory for gesture inference. For instance, a first method may include computer vision to train and/or infer gesture inferences. For instance, a second method may include using transformations to data and/or ML models to address inter/intra-session variability of sensor data. For instance, a third method may include using ML model selection to select a ML model to address inter/intra-session variability of sensor data.
Systems and methods for gesture control are described. In some embodiments, a system for assessing a reaction performance of a user engaging with an interactive digital program based on biopotentials detected at an external surface of a skin portion of the user may be provided. The system may include the wearable device comprising one or more electrodes configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined indicating a first time at which a stimulus condition is presented to the user. A second timestamp may be determined indicating a second time at which the biopotential signals indicate an intention by the user to perform a responsive action in response to the stimulus condition. A subject response time for the user may be determined based at least on the first timestamp and the second timestamp.
Systems and methods for gesture-based control are provided. In some embodiments, a system may include a wearable device configured to be worn on a person's wrist. The wearable device may include a plurality of biopotential channels, a location sensor, and a processor. The system may be configured to generate a data stream based on the outputs from the biopotential channels and/or the location sensor. The system may be configured to enter a first state in which the output from the location sensor is processed according to a first set of logical rules. The system may be configured to classify a gesture, and, based on the gesture classification, transition to a second state in which the output from the location sensor is processed according to a second set of logical rules that is different than the first set of logical rules.
System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device having a biopotential sensor and a wrist motion sensor. The biopotential sensor may be configured to output a first data stream indicating actions of a person's hand. The system may further include a second device configured to output a second data stream, which may also indicate the actions of the person's hand. The system may be configured to analyze the first and second data streams to train a machine learning interpreter to classify actions of a person's hand based on at least biopotential data.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
8.
SYSTEMS AND METHODS FOR DETERMINING PHYSIOLOGICAL STATE BASED ON SURFACE BIOPOTENTIALS
Systems and methods for gesture control are described. In some embodiments, a system for assessing a physiological state of a user. The system may include the wearable device comprising one or more sensors configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined. The first timestamp may indicate a first time at which a stimulus is presented to the user. A second timestamp, which indicates a second time at which physiological data indicates a responsive action of the user, may be determined. Based at least on the first timestamp and the second timestamp, determine a subject response time for the user. The subject response time may be compared to a baseline response time for the user to generate an assessment of a physiological state of the user.
Systems and methods for gesture control are described. In some embodiments, a system for assessing a physiological state of a user. The system may include the wearable device comprising one or more sensors configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined. The first timestamp may indicate a first time at which a stimulus is presented to the user. A second timestamp, which indicates a second time at which physiological data indicates a responsive action of the user, may be determined. Based at least on the first timestamp and the second timestamp, determine a subject response time for the user. The subject response time may be compared to a baseline response time for the user to generate an assessment of a physiological state of the user.
Systems and methods for gesture control are described. In some embodiments, a system for assessing a physiological state of a user. The system may include the wearable device comprising one or more electrodes configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined. The first timestamp may indicate a first time at which a stimulus is presented to the user. A second timestamp indicating a second time at which the biopotential signals indicate an intention by the user to perform a responsive action may be determined. Based at least on the first timestamp and the second timestamp, determine a subject response time for the user. The subject response time may be compared to a baseline response time for the user to generate an assessment of a physiological state of the user.
Systems and methods for assessing a neurological condition of a user includes detectors positioned at a surface of a skin of a wrist of a hand of the user. The detectors include a first pair of detectors configured to output a first output and a second pair of detectors configured to output a second output based on detected electrical potentials. Circuitry is configured to reduce amplitudes indicative of frequency components characteristic of ambient noise from the first output and the second output, generate data values based upon the first output and the second output, extract features from the data values including at least a feature based on relative amplitudes between the first output and the second output, and analyze the extracted features to assess the neurological condition of the user.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
12.
SYSTEMS AND METHODS FOR DETERMINING NEUROLOGICAL CONDITION BASED ON SURFACE BIOPOTENTIALS
Systems and methods for gesture control using biopotential sensing wearable devices are described. The system may include a processing pipeline configured to receive and process user biopotential data. The processing pipeline may be configured to generate, based at least in part on the processed user biopotential data, an assessment of the neurological condition of the user. The processing pipeline may include a machine learning model that has been trained and/or calibrated by one or more of the following: obtaining subject biopotential data collected from a plurality of subjects; obtaining subject neurological health data from the plurality of subjects (the subject neurological health data may relate to the neurological condition; labeling the subject biopotential data using the subject neurological health data to generate labeled subject data; and/or training the machine learning model using the labeled subject data.
Systems and methods for biometric analysis are described. In some embodiments, a system may include a wearable device comprising a plurality of electrodes, a gesture control processing circuit, and an ECG processing circuit. A common electrode may be configured to provide signals to both the gesture control processing circuit and the ECG processing circuit. While the system is in a gesture control state, the system may be configured to obtain first biopotential signals using at least the common electrode and convert the first biopotential signals to first biopotential data for use in gesture control. While the system is in the ECG state, the system may be configured to obtain second biopotential signals using at least the common electrode and convert the second biopotential signals to ECG data for use in analyzing a user's heart rhythms.
Disclosed are methods, systems and non-transitory computer readable memory for gesture inference. For instance, a first method may include computer vision to train and/or infer gesture inferences. For instance, a second method may include using transformations to data and/or ML models to address inter/intra-session variability of sensor data. For instance, a third method may include using ML model selection to select a ML model to address inter/intra-session variability of sensor data.
G06V 40/20 - Mouvements ou comportement, p. ex. reconnaissance des gestes
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
15.
Systems and methods for gesture inference using ML model selection
Disclosed are methods, systems and non-transitory computer readable memory for gesture inference. For instance, a first method may include computer vision to train and/or infer gesture inferences. For instance, a second method may include using transformations to data and/or ML models to address inter/intra-session variability of sensor data. For instance, a third method may include using ML model selection to select a ML model to address inter/intra-session variability of sensor data.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/0346 - Dispositifs de pointage déplacés ou positionnés par l'utilisateurLeurs accessoires avec détection de l’orientation ou du mouvement libre du dispositif dans un espace en trois dimensions [3D], p. ex. souris 3D, dispositifs de pointage à six degrés de liberté [6-DOF] utilisant des capteurs gyroscopiques, accéléromètres ou d’inclinaison
Systems and methods for gesture control are described. In some embodiments, a system may include a wearable device configured to be worn on a wrist of a user. The wearable device may include a hub and a wristband. The hub may include a plurality of hub electrodes and a biopotential microchip. The wristband may include one or more wristband electrodes and one or more wristband conductors, which may electrically connecting the one or more wristband electrodes to the electrical port of a sealed housing of the hub, which may in turn electrically connect the one or more wristband electrodes to inputs of the biopotential microchip.
Disclosed are methods, systems and non-transitory computer readable memory for gesture inference. For instance, a first method may include computer vision to train and/or infer gesture inferences. For instance, a second method may include using transformations to data and/or ML models to address inter/intra-session variability of sensor data. For instance, a third method may include using ML model selection to select a ML model to address inter/intra-session variability of sensor data.
Systems and methods for gesture-based control are provided. A system may include a wearable device configured to be worn on a wrist of a person and comprising one or more sensors and a display. The wearable device being configured to obtain at least physiological data being configured to indicate a state of a person's hand and wrist location data comprising information relating to a position of the person's wrist. The system may be configured to transition between states in response to gestures detected based on the physiological data and/or the wrist location data.
Systems and methods for gesture-based control are provided. In some embodiments, a system may include a wearable device configured to be worn on a person's wrist. The wearable device may include a plurality of biopotential channels, a location sensor, and a processor. The system may be configured to generate a data stream based on the outputs from the biopotential channels and/or the location sensor. The system may be configured to enter a first state in which the output from the location sensor is processed according to a first set of logical rules. The system may be configured to classify a gesture, and, based on the gesture classification, transition to a second state in which the output from the location sensor is processed according to a second set of logical rules that is different than the first set of logical rules.
System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device having a biopotential sensor and a wrist motion sensor. The biopotential sensor may be configured to output a first data stream indicating actions of a person's hand. The system may further include a second device configured to output a second data stream, which may also indicate the actions of the person's hand. The system may be configured to analyze the first and second data streams to train a machine learning interpreter to classify actions of a person's hand based on at least biopotential data.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
21.
Detecting and Using Body Tissue Electrical Signals
Systems and methods for gesture control are disclosed. In some embodiments, a system may include a plurality of electrode pairs, a motion sensor, a controller, and a classifier. The system may be configured to: enter a monitoring state in which the system is configured to receive data; receive a first set of data; determine that the first set of data does not satisfy one or more action criteria; return to the monitoring state without transmitting the first set of data to the classifier; receive a second set of data; determine that the second set of data satisfies the one or more action criteria; transmit the second set of data to the classifier; using the classifier, analyze the second set of data to generate an interpreted output indicating a gesture performed by the person; and based on the interpreted output, generate a machine instruction.
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
A61B 5/24 - Détection, mesure ou enregistrement de signaux bioélectriques ou biomagnétiques du corps ou de parties de celui-ci
A61B 5/053 - Mesure de l'impédance ou de la conductivité électrique d'une partie du corps
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
22.
Gesture control using biopotential-based analog front end
Disclosed are methods, systems and non-transitory computer readable memory for gesture control. For instance, a system may include a wearable device configured to be worn on a portion of an arm of a user. The wearable device may include a plurality of electrodes disposed on an interior of the wearable device and configured to obtain biopotential signals from the user's arm; and a biopotential chip. The biopotential microchip may be configured to output, directly or indirectly, biopotential data, acceleration data, and/or angular rate data, or derivatives thereof (“gesture data”), to a machine learning classifier. The machine learning classifier may be configured to generate, based on the gesture data, a gesture output indicating a gesture performed by the user. In some cases, the plurality of electrodes may include one or more wristband electrodes and/or a plurality of hub electrodes in a hub. In some cases, the hub may be curved.
Systems and methods for gesture-based control are disclosed. In some embodiments, a system may include a wearable device configured to obtain physiological data and wrist location data. The system may be configured to detect a first gesture and transition to an object control state in which changes in the wrist location data and/or the physiological data are configured to control a movement of the object. In the object control state, the system may be configured to detect a first motion of a body part, generate a first command to move the object in a first command direction, detect a second motion of the body part, and generate a command to move the object in a second command direction. The system may detect a second gesture indicating an intention to cease control of the object, and transition out of the object control state.
Systems and methods for gesture-based control are provided. A system may include a wearable device comprising a plurality of biopotential channels and a location sensor. The system may be configured to generate a data stream and classify a gesture based on an analysis of an analytical segment. The gesture classification may include (a) determining that a first portion of the analytical segment shows a signal parameter at a baseline; (b) determining that a second portion of the analytical segment shows the signal parameter satisfying a first threshold condition; (c) determining that a third portion of the analytical segment shows the signal parameter satisfying a second threshold condition; (d) determining that a time between the second portion and the third portion is greater than a threshold; and (e) while the signal parameter satisfies the first and/or second threshold condition, detecting a change in location of the wearable device.
Systems and methods for gesture-based control are provided. In some embodiments, a system may include a wearable device configured to be worn on a person's wrist. The wearable device may include a plurality of biopotential channels, a location sensor, and a processor. The system may be configured to generate a data stream based on the outputs from the biopotential channels and/or the location sensor. The system may be configured to enter a first state in which the output from the location sensor is processed according to a first set of logical rules. The system may be configured to classify a gesture, and, based on the gesture classification, transition to a second state in which the output from the location sensor is processed according to a second set of logical rules that is different than the first set of logical rules.
Systems and methods for gesture-based control are described. In some embodiments, a system may include a device configured to be worn at a person's wrist. The wearable device may include a biopotential sensor, a wrist location sensor, and a wireless transmitter. The system may have a first state and a second state. In the first state, the system may be configured to classify first data based on an output from the wrist location sensor to detect a wake word gesture. In the second state, the system may be configured to classify second data to detect a second gesture, the second data being based on both wrist location data and biopotential data. The system may be configured to transition from the first state to the second state based, at least in part, on a detection of the wake word gesture.
System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device configured to be worn at a person's wrist. The wearable device may include a biopotential sensor and a wrist motion sensor. The system may be configured to determine that the person performed an initial gesture based on biopotentials detected by the biopotential sensor. The system may be configured to determine that the person performed a supplemental gesture based on at least the wrist motion data obtained by the wrist motion sensor. The system may be further configured to generate a command to be executed by a responsive device based on the combination of at least the initial gesture and the supplemental gesture.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
Systems and methods for selecting a target are provided. In some embodiments, a system may include a wearable device having one or more sensors. The sensors may be configured to detect physiological data and wrist location data. In some embodiments, the system may be configured to determine: (i) a vector intended by a user based on at least the wrist location data, and (ii) a gesture indicating an intention to make a selection based on at least the physiological data. The system may be configured to select a target indicated by the directional vector as determined when the gesture indicating the intention to make a selection is detected.
Systems and methods for position-based gesture control are described. In some embodiments, a system may include a wearable device including a biopotential sensor and a location sensor. The system may be configured to determine that a body part is in a first position relative to a person's body, detect a first gesture, and, in response, direct a first instruction to a first destination. The system may be further configured to determine that a body part is in a second position relative to the person's body, detect a second gesture, and, in response, direct a second instruction to a second destination different than the first destination.
A user interface to a machine is implemented by a combination of a user interface device and a responsive device. The user interface device includes at least a biopotential sensor and a location sensor and is constructed to be worn by a person so that a biopotential sensor is positioned at least at the top of the wrist. The responsive device receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on primitive gestures detected in the received data. A primitive gesture can be based on a pose of the hand or location of the wrist or both. The operation can be based on other information from other sensors on the user interface device. The operation can be based on context information available to the responsive device.
An apparatus includes a sensor constructed to be worn by a person and configured to sense information indicative of a direction intended by the person. The apparatus includes a processor, and storage for instructions executable by the processor. When executing the instructions, the processor determines the direction based on the information sensed by the sensor, and, based on the direction and a location of the person, determines a geographic location. The sensor can include a biopotential signal from which an intended gesture by the person can be determined.
A user interface device includes at least a biopotential sensor and a location sensor. The user interface device is constructed to be worn by a person. A responsive device, such as a computer, receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on the received data. Primitive gestures detected in the received data are associated with inputs of an operating system of the responsive device. For a wrist-worn device, a primitive gesture can be based on a pose of the hand or location of a wrist or both. The association of primitive gestures with inputs of the operating system can include associating primitive gestures with mouse inputs, inputs to request launching an application or switching applications, or inputs to perform other operations.
An apparatus includes a sensor constructed to be worn by a person and configured to sense information indicative of a direction intended by the person. The apparatus includes a processor, and storage for instructions executable by the processor. When executing the instructions, the processor determines the direction based on the information sensed by the sensor, and, based on the direction and a location of the person, determines a geographic location. The sensor can include a biopotential signal from which an intended gesture by the person can be determined.
A user interface device includes at least a biopotential sensor and a location sensor. The user interface device is constructed to be worn by a person. A responsive device, such as a computer, receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on the received data. Primitive gestures detected in the received data are associated with inputs of an operating system of the responsive device. For a wrist-worn device, a primitive gesture can be based on a pose of the hand or location of a wrist or both. The association of primitive gestures with inputs of the operating system can include associating primitive gestures with mouse inputs, inputs to request launching an application or switching applications, or inputs to perform other operations.
Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 3/0485 - Défilement ou défilement panoramique
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 3/04815 - Interaction s’effectuant dans un environnement basé sur des métaphores ou des objets avec un affichage tridimensionnel, p. ex. modification du point de vue de l’utilisateur par rapport à l’environnement ou l’objet
Among other things, a received inbound message is presented to a person wearing a wearable device. The inbound message is presented to the person as perceptible stimulation at the skin of the person. Monitoring is done for presence of an outbound message derived from biopotential signals sensed at the skin of the person after the receipt of the inbound message.
H04M 3/42 - Systèmes fournissant des fonctions ou des services particuliers aux abonnés
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
H04M 19/04 - Dispositions d'alimentation de courant pour systèmes téléphoniques fournissant un courant de sonnerie ou des tonalités de surveillance, p. ex. tonalité de numérotation ou tonalité d’occupation le courant de sonnerie étant produit aux sous-stations
Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.
Among other things, first signals are received representing manipulation of a physical feature of a physical device by one or more fingers of a hand of a user. Second signals are received representing tissue electrical activity indicative of and occurring prior to the manipulation. The first signals and the second signals are processed to identify the occurrence of the manipulation. A control signal is sent to a game or other application with which the user is interacting. The control signal corresponds to the identified occurrence of the manipulation.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 3/0485 - Défilement ou défilement panoramique
G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect
Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 3/0485 - Défilement ou défilement panoramique
G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 3/0485 - Défilement ou défilement panoramique
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect
Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/24 - Détection, mesure ou enregistrement de signaux bioélectriques ou biomagnétiques du corps ou de parties de celui-ci
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for operating and managing
computer network interface devices connected to and
controlled by biopotential sensors that monitor and capture
the body's electrical signals; downloadable computer game
software via a global computer network and wireless devices. Wearable biopotential sensors to monitor and capture the
body's electrical signals. Providing temporary use of non-downloadable software for
operating and managing computer network interface devices
connected to and controlled by biopotential sensors that
monitor and capture the body's electrical signals;
application service provider featuring application
programming interface (API) software for operating and
managing computer network interface devices connected to and
controlled by biopotential sensors that monitor and capture
the body's electrical signals.
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable computer software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; downloadable computer game software via a global computer network and wireless devices
(2) Wearable biopotential sensors to monitor and capture the body's electrical signals (1) Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
46.
Detecting and using body tissue electrical signals
Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 5/0245 - Mesure du pouls ou des pulsations cardiaques utilisant des capteurs engendrant des signaux électriques
A61B 5/0408 - Electrodes spécialement adaptées à cet effet
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
47.
DETECTING AND USING BODY TISSUE ELECTRICAL SIGNALS
Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G09G 5/00 - Dispositions ou circuits de commande de l'affichage communs à l'affichage utilisant des tubes à rayons cathodiques et à l'affichage utilisant d'autres moyens de visualisation
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
Produits et services
Downloadable computer software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals Wearable biopotential sensors to monitor and capture the body's electrical signals
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of non-downloadable software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals; application service provider featuring application programming interface (API) software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
Produits et services
Downloadable computer software for operating and managing computer network interface devices connected to and controlled by biopotential sensors that monitor and capture the body's electrical signals Wearable biopotential sensors to monitor and capture the body's electrical signals
09 - Appareils et instruments scientifiques et électriques
10 - Appareils et instruments médicaux
Produits et services
Downloadable computer software for operating and managing computer network interface devices connected to and controlled by bio-potential sensors that monitor and capture the body's electrical signals Wearable biopotential sensors to monitor and capture the body's electrical signals
