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Deep Learning for EMG-based Human-Machine Interaction: A Review
Dezhen Xiong; Daohui Zhang; Xingang Zhao; Yiwen Zhao
Source PublicationIEEE/CAA Journal of Automatica Sinica
AbstractElectromyography (EMG) has already been broadly used in human-machine interaction (HMI) applications. Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution. Recently, many EMG pattern recognition tasks have been addressed using deep learning methods. In this paper, we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI. An overview of typical network structures and processing schemes will be provided. Recent progress in typical tasks such as movement classification, joint angle prediction, and force/torque estimation will be introduced. New issues, including multimodal sensing, inter-subject/inter-session, and robustness toward disturbances will be discussed. We attempt to provide a comprehensive analysis of current research by discussing the advantages, challenges, and opportunities brought by deep learning. We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems. Furthermore, possible future directions will be presented to pave the way for future research.
KeywordAccuracy deep learning electromyography (EMG) human-machine interaction (HMI) robustness
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Cited Times:152[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation
GB/T 7714
Dezhen Xiong,Daohui Zhang,Xingang Zhao,et al. Deep Learning for EMG-based Human-Machine Interaction: A Review[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(3):512-533.
APA Dezhen Xiong,Daohui Zhang,Xingang Zhao,&Yiwen Zhao.(2021).Deep Learning for EMG-based Human-Machine Interaction: A Review.IEEE/CAA Journal of Automatica Sinica,8(3),512-533.
MLA Dezhen Xiong,et al."Deep Learning for EMG-based Human-Machine Interaction: A Review".IEEE/CAA Journal of Automatica Sinica 8.3(2021):512-533.
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