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Finger language recognition based on ensemble artificial neural network learning using armband EMG sensors
BACKGROUND: Deaf people use sign or finger languages for communication, but these methods of communication are very specialized. For this reason, the deaf can suffer from social inequalities and financial losses due to their communication restrictions. OBJECTIVE: In this study, we developed a finger...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
IOS Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005006/ https://www.ncbi.nlm.nih.gov/pubmed/29710753 http://dx.doi.org/10.3233/THC-174602 |