An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention

An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention

Abstract In the field of rehabilitation, although deep learning have been widely used in multitype gesture recognition via surface electromyography (sEMG), their higher algorithmic complexity often leads to low computationally inefficient, which compromise their practicality. To achieve more efficie...

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Bibliographic Details
Main Authors: Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Convolutional neural network
Surface electromyography
Hand gesture recognition
Efficient
Online Access:https://doi.org/10.1038/s41598-024-81369-z
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