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,...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2016
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| 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 |