WEARABLE ELECTROMYOGRAPHY SENSOR ARRAY USING CONDUCTIVE CLOTH ELECTRODES FOR HUMAN-ROBOT INTERACTIONS

摘要

A sleeve worn on an arm allows detection of gestures by an array of sensors. Electromyography, inertial, and magnetic field sensors provide data that is processed to categorize gestures and translate the gestures into commands for robotic systems. Machine learning allows training of gestures to increase accuracy of detection for different users.