Reduce Surface Electromyography Channels for Gesture Recognition by Multitask Sparse Representation and Minimum Redundancy Maximum Relevance

Surface electromyography- (sEMG-) based gesture recognition is widely used in rehabilitation training, artificial prosthesis, and human-computer interaction. The purpose of this study is to simplify the sEMG devices by reducing channels while achieving comparably high gesture recognition accuracy. W...

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Detalles Bibliográficos
Autores principales: Qu, Yali, Shang, Haoyan, Li, Jing, Teng, Shenghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177973/
https://www.ncbi.nlm.nih.gov/pubmed/34136113
http://dx.doi.org/10.1155/2021/9929684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177973/
https://www.ncbi.nlm.nih.gov/pubmed/34136113
http://dx.doi.org/10.1155/2021/9929684

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