Deep Learning for EMG-based Human-Machine Interaction: A ReviewOACSCD
Deep Learning for EMG-based Human-Machine Interaction: A Review
Dezhen Xiong;Daohui Zhang;Xingang Zhao;Yiwen Zhao
State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
Accuracydeep learningelectromyography (EMG)human-machine interaction (HMI)robustness
Accuracydeep learningelectromyography (EMG)human-machine interaction (HMI)robustness
《自动化学报（英文版）》 2021 (3)
512-533,22
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).