Correlation Analysis of Electromyogram Signals for Multiuser Myoelectric Interfaces
Volume: 22, Issue: 4, Pages: 745 - 755
Published: Jul 1, 2014
Abstract
An inability to adapt myoelectric interfaces to a novel user's unique style of hand motion, or even to adapt to the motion style of an opposite limb upon which the interface is trained, are important factors inhibiting the practical application of myoelectric interfaces. This is mainly attributed to the individual differences in the exhibited electromyogram (EMG) signals generated by the muscles of different limbs. We propose in this paper a...
Paper Details
Title
Correlation Analysis of Electromyogram Signals for Multiuser Myoelectric Interfaces
Published Date
Jul 1, 2014
Volume
22
Issue
4
Pages
745 - 755
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