Article
Movement Recognition via Channel-Activation-Wise sEMG Attention
2023-06-06
Abstract excerpt
<h4>ABSTRACT</h4> <h4>Context</h4> Surface electromyography (sEMG) signals contain rich information recorded from muscle movements and therefore reflect the user’s intention. sEMG has seen dominant applications in reha-bilitation, clinical diagnosis as well as human engineering, etc. However, current feature extraction methods for sEMG signals have been seriously limited by its stochasticity, transiency, non-sta...
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Identifiers and source
- Literature Corpus work
- 7545da91-1625-56e7-b809-bde6d2e84bfa
- DOI
- 10.1101/2023.06.03.543591
