Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning
The field of surface electromyogram (sEMG)-based human-computer interfaces is rapidly evolving through the integration of wearable sensors and deep learning models. To ensure practical long-term usability, these models must adapt to changing sEMG data, thereby accommodating an instance-incremental l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10771758/ |