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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...

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Detalhes bibliográficos
Publicado no:Technol Health Care
Main Authors: Kim, Seongjung, Kim, Jongman, Ahn, Soonjae, Kim, Youngho
Formato: Artigo
Idioma:Inglês
Publicado em: IOS Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6005006/
https://ncbi.nlm.nih.gov/pubmed/29710753
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/THC-174602
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