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sEMG-Based Gesture Classifier for a Rehabilitation Glove

Human hand gesture recognition from surface electromyography (sEMG) signals is one of the main paradigms for prosthetic and rehabilitation device control. The accuracy of gesture recognition is correlated with the control mechanism. In this work, a new classifier based on the Bayesian neural network...

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Detalles Bibliográficos
Autores principales:	Copaci, Dorin, Arias, Janeth, Gómez-Tomé, Marcos, Moreno, Luis, Blanco, Dolores
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190783/ https://www.ncbi.nlm.nih.gov/pubmed/35706550 http://dx.doi.org/10.3389/fnbot.2022.750482

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