Subjects self-select forearm gestures identification based on post-processing and integrating sEMG sensors and AS

•The use of sEMG signals to recognize movement intention has important applications in artificial hand control and rehabilitation training for individuals with hemiplegia or muscle weakness. However, sEMG signals are weak and susceptible to external interference, which can limit their accuracy in re...

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Bibliographic Details
Published inBiomedical signal processing and control Vol. 85; p. 105023
Main Authors Zhang, Lei, Bian, Huarui, Wang, Jie, Wang, Along, Zhang, Kangkun, Pang, Ming, Liu, Hui
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2023
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