Discrimination of Forearm Motions from EMG Signals by Error Back Propagation Typed Neural Network Using Entropy

Abstract

The present paper proposes a method to estimate the motion intended by a subject from his EMG signals using error back propagation typed neural networks. Estimation of the motion from the EMG signals is useful for means of human interface in such fields as control of multi-functional powered prosthesis, teleoperation of robot manipulators, virtual reality.