Hand movements classification for myoelectric control system using adaptive resonance theory
Hand movements classification for myoelectric control system using adaptive resonance theory
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Contents
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, and triceps brachii, of four normal-limb subjects....
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Full title
Hand movements classification for myoelectric control system using adaptive resonance theory
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TN_cdi_proquest_miscellaneous_1777491111
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1777491111
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ISSN
0158-9938
E-ISSN
1879-5447
DOI
10.1007/s13246-015-0399-5