Muscle Activity Distribution Features Extracted from HD sEMG to Perform Forearm Pattern Recognition
Published: Oct 1, 2018
Abstract
An efficient pattern recognition system based exclusively on forearm surface Electromyographic (sEMG) signals is proposed to provide a more intuitive control of a robotic arm used by some of the disabled. The main contribution of this paper is the use of an original set of features characterizing the muscle activity distribution obtained with high-density sEMG (HD sEMG) sensors. Contrary to simple sEMG, HD sEMG can produce muscle activity images...
Paper Details
Title
Muscle Activity Distribution Features Extracted from HD sEMG to Perform Forearm Pattern Recognition
Published Date
Oct 1, 2018
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