Improved Multi-Stream Convolutional Block Attention Module for sEMG-Based Gesture Recognition

Improved Multi-Stream Convolutional Block Attention Module for sEMG-Based Gesture Recognition

As a key technology for the non-invasive human-machine interface that has received much attention in the industry and academia, surface EMG (sEMG) signals display great potential and advantages in the field of human-machine collaboration. Currently, gesture recognition based on sEMG signals suffers...

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Bibliographic Details
Main Authors: Shudi Wang, Li Huang, Du Jiang, Ying Sun, Guozhang Jiang, Jun Li, Cejing Zou, Hanwen Fan, Yuanmin Xie, Hegen Xiong, Baojia Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
sEMG signals
gesture recognition
attention mechanisms
neural networks
multi-stream
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.909023/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.909023/full

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