Reliable Source-Free Domain Adaptation for Cross-User Myoelectric Pattern Recognition

• Published in: IEEE sensors journal Vol. 24; no. 23; pp. 39363 - 39372
• Main Authors: Zhang, Xuan, Wu, Le, Zhang, Xu, Chen, Xiang, Li, Chang, Chen, Xun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Algorithms; Cross-subject; Data models; Electrodes; Electromyography; EMG control; Fingers; Human motion; Model updating; Muscles; Myoelectricity; Parameters; Pattern recognition; Reliability; Sensors; Solid modeling; source-free domain adaptation (SFDA); Teachers; transfer learning

Surface electromyographic (sEMG) signals are widely used for human-machine interaction (HMI) control, providing information about user movement intent. However, interindividual differences in muscle anatomy pose a challenge for cross-user myoelectric pattern recognition (MPR) algorithms. Existing cr...