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Deep Learning for EMG-based Human-Machine Interaction: A Review

Dezhen Xiong Daohui Zhang Xingang Zhao Yiwen Zhao

自动化学报（英文版）2021，Vol.8Issue(3)：512-533,22.

自动化学报（英文版）2021，Vol.8Issue(3)：512-533,22.DOI:10.1109/JAS.2021.1003865

Deep Learning for EMG-based Human-Machine Interaction: A Review

Dezhen Xiong ¹Daohui Zhang ²Xingang Zhao ³Yiwen Zhao³

作者信息

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
折叠

摘要

关键词

Accuracy/deep learning/electromyography (EMG)/human-machine interaction (HMI)/robustness

Key words

Accuracy/deep learning/electromyography (EMG)/human-machine interaction (HMI)/robustness

引用本文复制引用

Dezhen Xiong,Daohui Zhang,Xingang Zhao,Yiwen Zhao..Deep Learning for EMG-based Human-Machine Interaction: A Review[J].自动化学报（英文版）,2021,8(3):512-533,22.

基金项目

This work was supported in part by the National Natural Science Foundation of China (U1813214, 61773369, 61903360), the Self-planned Project of the State Key Laboratory of Robotics (2020-Z12), and China Postdoctoral Science Foundation funded project (2019M661155). （U1813214, 61773369, 61903360）

自动化学报（英文版）

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