sEMG Measurement Position and Feature Optimization Strategy for Gesture Recognition Based on ANOVA and Neural Networks
Surface electromyography (sEMG) signals are widely used in the recognition of hand gestures. Nowadays, researchers usually increase the number of sEMG signal measurement positions and extract multiple features to improve the recognition accuracy. In this paper, we propose a sEMG measurement position...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2020-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9044340/ |
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