Advances and Disturbances in sEMG-Based Intentions and Movements Recognition: A Review

Surface EMG-based gestures recognition systems are helping the disable to enjoy a better life. Academic institutes and commercial companies have been developing a lot of sEMG-based prosthesis, exoskeletons and rehabilitation systems. In this area, most studies are improving recognition accuracies by...

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Bibliographic Details
Published in:IEEE sensors journal 2021-06, Vol.21 (12), p.13019-13028
Main Authors: Xu, Hao, Xiong, Anbin
Format: Article
Language:English
Subjects:
advances and reviews
Disturbances
Electrodes
Exoskeletons
Fatigue
Feature extraction
human-robot interaction (HRI)
machine learning
Muscles
pattern recognition
Prostheses
realistic disturbances
Rehabilitation
Robots
Sensors
Signal processing
Surface electromyography (sEMG)
Training
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Summary:Surface EMG-based gestures recognition systems are helping the disable to enjoy a better life. Academic institutes and commercial companies have been developing a lot of sEMG-based prosthesis, exoskeletons and rehabilitation systems. In this area, most studies are improving recognition accuracies by focusing on signals pre-processings, features and classifiers. But, in real-life circumstances, sEMG-based recognition performances are limited by many disturbances and variability from electrodes and subjects. In this paper, key advances of sEMG-based recognition systems are firs reviewed, then several disturbances or factors that limited sEMG-based performances and their solutions are summarized up in great detail. At last, prospections for improving sEMG-based robustness in the future are proposed.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2021.3068521