A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network

Surface electromyographic signal (sEMG) is a kind of bioelectrical signal, which records the data of muscle activity intensity. Most sEMG-based hand gesture recognition, which uses machine learning as the classifier, depends on feature extraction of sEMG data. Recently, a deep leaning-based approach...

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Detalles Bibliográficos
Autores principales: Zhang, Zhen, He, Changxin, Yang, Kuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412393/
https://www.ncbi.nlm.nih.gov/pubmed/32709164
http://dx.doi.org/10.3390/s20143994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412393/
https://www.ncbi.nlm.nih.gov/pubmed/32709164
http://dx.doi.org/10.3390/s20143994

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