Force classification using surface electromyography from various object lengths and wrist postures

Volume: 13, Issue: 6, Pages: 1183 - 1190
Published: Mar 23, 2019
Abstract
Pattern recognition using myoelectric control of upper-limb prosthetic devices is essential to restore control of several degrees of freedom. Although much development has been relevant, the prediction of force level in finger movements is scanty. In this study, we propose the surface electromyography (sEMG) to predict the force level of the thumb-index pinch. Ten non-amputee subjects are asked to do five force levels with three different wrist...
Paper Details
Title
Force classification using surface electromyography from various object lengths and wrist postures
Published Date
Mar 23, 2019
Volume
13
Issue
6
Pages
1183 - 1190
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