Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Nov 21, 2024
Abstract
OBJECTIVE: Surface electromyography (sEMG) can sense the motor commands transmitted to the muscles. This work presents a deep learning method that can decode the electrophysiological activity of the forearm muscles into the movements of the human hand.