Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
Abstract
Control of active prosthetic hands using surface electromyography (sEMG) signals is an active research area; despite the advances in sEMG pattern recognition and classification techniques, none of the commercially available prosthetic hands provide the user with an intuitive control. One of the major reasons for this disparity between academia and industry is the variation of sEMG signals in a dynamic environment as opposed to the controlled...
Paper Details
Title
Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
Published Date
Jul 3, 2019
Journal
Volume
13
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