Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition

• Published in: Journal of neural engineering Vol. 20; no. 1; pp. 16050 - 16062
• Main Authors: Zhang, Xuan, Wu, Le, Zhang, Xu, Chen, Xiang, Li, Chang, Chen, Xun
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.02.2023
• Subjects: Adaptation, Physiological; cross-subject; deep learning; electromyography; Electromyography - methods; Humans; multi-source domain adaptation; Pattern Recognition, Automated - methods; Reproducibility of Results; robust EMG control; deep learning; robust EMG control; cross-subject; electromyography; multi-source domain adaptation

Objective. Myoelectric pattern recognition (MPR) has shown satisfactory performance under ideal laboratory conditions. Nevertheless, the individual variances lead to dramatic performance degradation in cross-user MPR applications. It is crucial to enable the myoelectric interface to adapt to multipl...