Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

Recently, electromyography (EMG) has received much attention from the researchers in rehabilitation, engineering, and clinical areas. Due to the rapid growth of technology, the multifunctional myoelectric prosthetic has become viable. Nevertheless, an increment in the number of EMG features has led...

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Bibliographic Details
Main Author: Too, Jing Wei
Format: Thesis
Language:English
English
Published: 2020
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/25426/1/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdf
http://eprints.utem.edu.my/id/eprint/25426/2/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdf
http://eprints.utem.edu.my/id/eprint/25426/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119773
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
English