EMG pattern recognition by neural networks for multi fingers control

Abstract

This paper proposes that EMG patterns can be analyzed and classified by neural networks. Through experiments and on-line simulations, it is demonstrated that recognition of not only finger movement but also joint angles in continuously finger movement, based on EMG patterns, can be successfully accomplished.We also demonstrate a EMG controlled 5 fingers 10 joints robot hand.