Hand movements classification for myoelectric control system using adaptive resonance theory

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Hand movements classification for myoelectric control system using adaptive resonance theory

This research proposes an exploratory study of a simple, accurate, and computationally efficient movement classification technique for prosthetic hand application. Surface myoelectric signals were acquired from the four muscles, namely, flexor carpi ulnaris, extensor carpi radialis, biceps brachii,...

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Bibliographic Details
Main Authors:	Fariman, Hessam Jahani, Ahmad, Siti Anom, Marhaban, Mohammad Hamiruce, Ghasab, Mohammad Ali Jan, Chappell, Paul H.
Format:	Article
Language:	English
Published:	Springer 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/47437/ http://psasir.upm.edu.my/id/eprint/47437/1/Hand%20movements%20classification%20for%20myoelectric%20control%20system%20using%20adaptive%20resonance%20theory.pdf

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