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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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Detalles Bibliográficos
Autores principales:	Asfour, Mohammed, Menon, Carlo, Jiang, Xianta
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687536/ https://www.ncbi.nlm.nih.gov/pubmed/36354545 http://dx.doi.org/10.3390/bioengineering9110634

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