An extended variational autoencoder for cross-subject electromyograph gesture recognition

•The study proposes a novel cross-subject gesture recognition approach.•An extended VAE is designed to disentangle input data into three representations.•A competitive voting strategy is to further bolster accuracy and stability in recognition.•The performance of the proposed method is evaluated on...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 99; S. 106828
Hauptverfasser:	Zhang, Zhen, Ming, Yuewei, Shen, Quming, Wang, Yanyu, Zhang, Yuhui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2025
Schlagworte:	Competitive voting Cross-subject Feature disentanglement Gesture recognition Surface electromyographic Variational autoencoder Variational autoencoder Competitive voting Surface electromyographic Cross-subject Feature disentanglement Gesture recognition
ISSN:	1746-8094
Online-Zugang:	Volltext
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