Classification of 41 Hand and Wrist Movements via Surface Electromyogram Using Deep Neural Network

Classification of 41 Hand and Wrist Movements via Surface Electromyogram Using Deep Neural Network

Surface electromyography (sEMG) is a non-invasive and straightforward way to allow the user to actively control the prosthesis. However, results reported by previous studies on using sEMG for hand and wrist movement classification vary by a large margin, due to several factors including but not limi...

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Bibliographic Details
Main Authors: Panyawut Sri-iesaranusorn, Attawit Chaiyaroj, Chatchai Buekban, Songphon Dumnin, Ronachai Pongthornseri, Chusak Thanawattano, Decho Surangsrirat
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
surface electromyogram
hand movement classification
deep neural network
prosthetic hand
Ninapro database
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.548357/full

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https://www.frontiersin.org/articles/10.3389/fbioe.2021.548357/full

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