The present invention relates to a digital content-based method for providing therapeutics information, the method comprising: a first step of performing stimulation on a brain of a user to obtain fNIRS (functional near-infrared spectroscopy) data of the user; a second step of extracting a first brain activation area from a plurality of brain areas of the user using the obtained fNIRS data; a third step of determining a first brain state of the user, based on the first brain activation area; a fourth step of providing the user with a content determined corresponding to the first brain state determined in the third step under an XR (Extended Reality) environment; a fifth step in which the user performs a mission corresponding to the content; a sixth step of extracting a second brain activation area from the plurality of brain areas with reference to the fNIRS data of the user following performing the mission; and a seventh step of determining a second brain state of the user, based on the second brain activation area; an eighth step of determining information related to amelioration of the brain state of the user.

A wearable electronic device includes a sensor module, a processor, a display controller, and a display, where the sensor is configured to: collect data, generate a sensor signal that represents a feature of data of currently collected data, and send the sensor signal to the processor, the processor is configured to: determine, according to the received sensor signal, a manner to display that is corresponding to the feature of data represented by the sensor signal and is of the display, generate a display control signal, and send the display control signal to the display controller, and the display controller is configured to control, according to the display control signal, the display to display.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.

Methods and systems for providing input to an augmented reality system or an extended reality system based, at least in part, on neuromuscular signals. The methods and systems comprise detecting, using one or more neuromuscular sensors arranged on one or more wearable devices, neuromuscular signals from a user; determining that a computerized system is in a mode configured to provide input including text to the augmented reality system; identifying based, at least in part, on the neuromuscular signals and/or information based on the neuromuscular signals, the input, wherein the input is further identified based, at least in part, on the mode; and providing the identified input to the augmented reality system.

A system and method for controlling a device, such as a virtual reality (VR) and/or a prosthetic limb are provided. A biomimetic controller of the system comprises a signal processor and a musculoskeletal model. The signal processor processes M biological signals received from a residual limb to transform the M biological signals into N activation signals, where M and N are integers and M is less than N. The musculoskeletal model transforms the N activation signals into intended motion signals. A prosthesis controller transforms the intended motion signals into three or more control signals that are outputted from an output port of the prosthesis controller. A controlled device receives the control signals and performs one or more tasks in accordance with the control signals.

For measuring quality of view over a visual field of view of an eye, during a measuring period, deviations between gaze positions and associated stimulus positions where the stimulus to be followed was displayed when the gaze position was detected and magnitudes of the registered deviations arte determined. For each field portion of a map of a visual field of view, quality of view is determined in accordance with a quality of view estimates of associated ones of the registered deviations of which the associated stimulus positions are located relative to the gaze position so that the associated stimulus positions are in that field portion. For each of the associated ones of the registered deviations, the quality of view is estimated in accordance with the magnitude of that associated one of the registered deviations and with magnitudes of at least preceding or succeeding ones of the registered deviations.

Brain computer interface BCI comprising an input adapted to be connected to at least one electroencephalography EEG sensor to receive EEG signals, the BCI further comprising a processor running an associative model trained to simulate electrocorticography ECoG signal features from EEG signals received via the input, the BCI comprising an output to transmit the simulated ECoG signal features.

A human interface device comprising an eye tracking unit configured to determine the direction of gaze of a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated, offering an improved and intuitive user experience. Method of operating said human interface device.

A human interface system comprising a physical controller configured to receive input from a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated. The input data from the physical controller is combined with input data from the brain-computer interface to provide hybrid input which may be used to control one or more external real or computer-generated objects. Method of operating said human interface device.

System for detecting intention of movements by a subject comprises sensors and a computing device. The sensors are configured to be engaged to the subject. The sensors measure electromyogram signals from the subject. The computing device receives the electromyogram signals from the sensors. Features are extracted using electromyogram signals from one or more of the sensors. One or more of the extracted features are compared with their respective threshold corresponding to a first movement among the movements. Intention of making the first movement is registered, prior to the onset of the first movement, based on the comparison.