sEMG-Based Gesture Classifier for a Rehabilitation Glove

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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Bibliographic Details
Main Authors: Dorin Copaci, Janeth Arias, Marcos Gómez-Tomé, Luis Moreno, Dolores Blanco
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurorobotics
Subjects:
sEMG
gestures recognition
neural networks
hand rehabilitation
shape memory alloy
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2022.750482/full

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