Feature–Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures

Gesture recognition using surface electromyography (sEMG) serves many applications, from human–machine interfaces to prosthesis control. Many features have been adopted to enhance recognition accuracy. However, studies mostly compare features under a prechosen feature window size or a classifier, bi...

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Detalhes bibliográficos

Principais autores:	Mohammed Asfour, Carlo Menon, Xianta Jiang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Bioengineering
Assuntos:	analysis classification methods electromyography hand gestures signal processing
Acesso em linha:	https://www.mdpi.com/2306-5354/9/11/634
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