Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network

In recent years, surface electromyography (sEMG) signals have been increasingly used in pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition model using sEMG is proposed. We use an armband to acquire sEMG signals and apply a sliding window approach to segment t...

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Detalles Bibliográficos
Autores principales: Zhang, Zhen, Yang, Kuo, Qian, Jinwu, Zhang, Lunwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679304/
https://www.ncbi.nlm.nih.gov/pubmed/31323888
http://dx.doi.org/10.3390/s19143170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679304/
https://www.ncbi.nlm.nih.gov/pubmed/31323888
http://dx.doi.org/10.3390/s19143170

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