Wang, Xiaoyun (2024) Human Muscle sEMG Signal and Gesture Recognition Technology Based on Multi-Stream Feature Fusion Network. EAI Endorsed Transactions on Pervasive Health and Technology.
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Abstract
Surface electromyography signals have significant value in gesture recognition due to their ability to reflect muscle activity in real time. However, existing gesture recognition technologies have not fully utilized surface electromyography signals, resulting in unsatisfactory recognition results. T
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:10 |
| Last Modified: | 11 Apr 2026 00:34 |
| URI: | http://eprints.eai.eu/id/eprint/51447 |
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