Computer ScienceEngineeringMedicine
DOI: 10.1109/icsmc.1989.71472

tlooto Summary

The thrust of this work is that neural networks make EMG pattern recognition much easier and more efficient; thus, use of EMG control in a prosthetic arm/hand would involve much less physical and mental effort on the part of the subject.

Abstract

Abstract is not available.

Citation format

HIRAIWA, A.; SHIMOHARA, K.; TOKUNAGA, Y. EMG pattern analysis and classification by neural network. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 1989: 1113–1115vol.3.