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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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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