Domain Adaptation With Self-Guided Adaptive Sampling Strategy: Feature Alignment for Cross-User Myoelectric Pattern Recognition

Gestural interfaces based on surface electromyographic (sEMG) signal have been widely explored. Nevertheless, due to the individual differences in the sEMG signals, it is very challenging for a myoelectric pattern recognition control system to adapt cross-user variability. Unsupervised domain adapta...

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Autori principali:	Xuan Zhang, Xu Zhang, Le Wu, Chang Li, Xiang Chen, Xun Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2022-01-01
Serie:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Soggetti:	Electromyography (EMG) domain adaptation cross-user variability myoelectric control gestural interfaces
Accesso online:	https://ieeexplore.ieee.org/document/9771460/
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