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A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition
Hand gesture recognition tasks based on surface electromyography (sEMG) are vital in human-computer interaction, speech detection, robot control, and rehabilitation applications. However, existing models, whether traditional machine learnings (ML) or other state-of-the-arts, are limited in the numbe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775254/ https://www.ncbi.nlm.nih.gov/pubmed/35051235 http://dx.doi.org/10.1371/journal.pone.0262810 |