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Hand movements classification for myoelectric control system using adaptive resonance theory

Hand movements classification for myoelectric control system using adaptive resonance theory

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1777491111

Hand movements classification for myoelectric control system using adaptive resonance theory

About this item

Full title

Hand movements classification for myoelectric control system using adaptive resonance theory

Publisher

Dordrecht: Springer Netherlands

Journal title

Australasian physical & engineering sciences in medicine, 2016-03, Vol.39 (1), p.85-102

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

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....

Alternative Titles

Full title

Hand movements classification for myoelectric control system using adaptive resonance theory

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1777491111

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1777491111

Other Identifiers

ISSN

0158-9938

E-ISSN

1879-5447

DOI

10.1007/s13246-015-0399-5

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