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A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN) architecture which captures spatial information of...
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| Publicado en: | PLoS One |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6207326/ https://ncbi.nlm.nih.gov/pubmed/30376567 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206049 |
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