Methods and apparatus for training a classification model and using the trained classification model to recognize gestures performed by a user. An apparatus comprises a processor that is programmed to: receive, via a plurality of neuromuscular sensors, a first plurality of neuromuscular signals from a user as the user performs a first single act of a gesture; train a classification model based on the first plurality of neuromuscular signals, the training including: deriving value(s) from the first plurality of neuromuscular signals, the value(s) indicative of distinctive features of the gesture including at least one feature that linearly varies with a force applied during performance of the gesture; and generating a first categorical representation of the gesture in the classification model based on the value(s); and determine that the user performed a second single act of the gesture, based on the trained classification model and a second plurality of neuromuscular signals.

A system and method for the assessment and therapeutic treatment of neurologic function deficits through the evaluation of voluntary and involuntary neuromuscular activity and voluntary neuromuscular responses made on demand as a response to a cognitive skills test. The system permits the remote assessment and therapy of a patient through prescribed physical and cognitive skills regimens either through the remote direction of a therapist or through an artificial intelligence system that selects and modifies regimens based upon the analysis of historical data and/or real-time data. The combination of physical and cognitive therapy to require physical responses to cognitive queries is believed to improve patient outcomes by slowing, halting, or reversing the progression of certain neurological deficits.

The presently disclosed subject matter relates to a play environment for children and infants for detecting motor delays or impairments, evaluating neurological development, and for diagnosing developmental disorders, and methods and systems of using the same.

This disclosure relates to a device to mechanically and electrically connect with a touch screen computing device, such as a tablet computer. The device can include a platform that can be moved into and out of physical contact with a surface of a touch screen. During engagement with the surface, the moveable platform electrically interacts with the touch screen (e.g., via capacitive coupling) to enable detection by the touch screen of contact members (e.g., pegs) even in the absence of user contact with the pegs.

Disclosed is system for assessing a motor function, the system including a sensor configured to acquire human body exercise information including a joint position, a joint orientation, a grasp state, or a grasp force, a processor configured to extract an exercise feature for analyzing a human body motion time and human body motion information based on the acquired human body exercise information, analyze at least one target motion for assessment based on a set assessment condition using the extracted exercise feature, classify an assessment factor of the at least one target motion for assessment as a success or a failure, and determine a final assessment score of the at least one target motion for assessment based on the classified assessment factor, and a display configured to display the final assessment score.

A system for measuring a rower profile of a rower; the system comprising one or more sensors located on an oar for measuring one or more forces imparted on the oar by the rower in use at a predetermined time; one or motion tracking devices for determining a position of the oar in space at the predetermined time; a processing module for interfacing with the one or more sensors and a remote monitoring device; and determining the rower profile from the sensor data and the one or more motion tracking devices.

An apparatus for movement training, and more specifically, an apparatus for movement and function training of the hand and arm and particularly for use in rehabilitation of the hand following a stroke or other neurological or physical impairments. The invention extends to a corresponding system, method, and kit of parts.

A piezoresistive sensor featuring a fabric of woven or nonwoven fibers coated with carbon nanotubes can be integrated with footwear or clothing to serve as a pressure sensor that can monitor and/or analyze human activity during the course of the activities of daily living of the wearer.

A sensing system implements one or more MEMS microphones in order to measure mechanical waves. The sensing system can be part of a larger system used to determine motion and position of a user's hand or other body part. The MEMS microphones can be part of a plurality of MEMS microphones. There may additionally be MEMS microphones that transmit mechanical waves at certain frequencies that can be measured by the MEMS microphones and subsequently distinguished from other mechanical waves and used to determine additional information regarding movement and position.

Examples are disclosed that relate to sensor devices configured to sense bending in multiple joints. One example provides a sensor device configured to span a first articulable joint and a second articulable joint. The sensor device comprises a plurality of electrodes arranged in a stack and connected to a base. The plurality of electrodes comprise a first electrode arranged at a first joint region of the sensor device that is configured to be positioned at the first articulable joint, a second electrode arranged at a second joint region of the sensor device that is configured to be positioned at the second articulable joint, and a reference electrode.