Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signals

The surface electromyographic (sEMG) signals reflect human motor intention and can be utilized for human-machine interfaces (HMI). Comparing to the sparse multi-channel (SMC) electrodes, the high-density (HD) electrodes have a large number of electrodes and compact space between electrodes, which ca...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Chuang Lin, Yuhao Wang, Ming Dai
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-07-01
Subjects:	electrode shift and damage sEMG gesture recognition myocontrol deep learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1306047/full