A Unified User-Generic Framework for Myoelectric Pattern Recognition: Mix-Up and Adversarial Training for Domain Generalization and Adaptation

• Published in: IEEE transactions on biomedical engineering Vol. 70; no. 8; pp. 2248 - 2257
• Main Authors: Li, Xinhui, Zhang, Xu, Chen, Xiang, Chen, Xun, Zhang, Liwei
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Brain modeling; Calibration; Control systems; cross-user variability; domain generalization; Electrodes; Fingers; Information processing; Motor task performance; Muscles; myoelectric pattern recognition; Myoelectricity; Pattern recognition; Surface electromyogram; System effectiveness; Testing; Training; unsupervised domain adaptation

Objective: To address cross-user variability problem in the myoelectric pattern recognition, a novel method for domain generalization and adaptation using both mix-up and adversarial training strategies, termed MAT-DGA, is proposed in this paper. Methods: This method enables integration of domain ge...