Estimation of forearm movement from EMG signals and application to prosthetic hand

摘要

This research proposes a new control method of prosthetic hand. This method is based on torque estimation from EMG signals. To estimate the joint torques, a learning system using artificial neural network is structured. The experiment of 2-DOF shows the good results. It is verified that the neural network can learn the mapping from EMG signals to joint torques using proposed learning method.