Abstract
A power assist glove supporting the finger motions has been developed. Its control based on a human intention is desired. Then EMG is introduced to measure the human intention. In the proposed method, EMG signals are used to discriminate the finger motions from the wrist motions. In this paper, the discriminating method using EMG and neural network is proposed, and then the effectiveness of proposed one is experimentally verified.