Wrist-Wearable sEMG Gesture Recognition System Based on ThinNet Lightweight Neural Network
Wearable surface electromyography (sEMG)-based gesture recognition enables intuitive human–machine interaction, but practical deployment is often limited by hardware constraints, model complexity, and inter-subject variability. In this study, we developed a high-performance wrist-worn sEMG acquisiti...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-05-01
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| coleção: | Bioengineering |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2306-5354/13/6/593 |
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