SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions
In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in non-ideal conditions (<italic>SeNic</italic>). The dataset mainly cons...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2022-01-01
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| Colecção: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9771219/ |
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