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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |