A Smartphone-Based sEMG Signal Analysis System for Human Action Recognition

In lower-limb rehabilitation, human action recognition (HAR) technology can be introduced to analyze the surface electromyography (sEMG) signal generated by movements, which can provide an objective and accurate evaluation of the patient’s action. To balance the long cycle required for rehabilitatio...

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Detalles Bibliográficos
Autores principales: Yu, Shixin, Zhan, Hang, Lian, Xingwang, Low, Sze Shin, Xu, Yifei, Li, Jiangyong, Zhang, Yan, Sun, Xiaojun, Liu, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452551/
https://www.ncbi.nlm.nih.gov/pubmed/37622891
http://dx.doi.org/10.3390/bios13080805

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452551/
https://www.ncbi.nlm.nih.gov/pubmed/37622891
http://dx.doi.org/10.3390/bios13080805

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