The Impact of Load Style Variation on Gait Recognition Based on sEMG Images Using a Convolutional Neural Network

Surface electromyogram (sEMG) signals are widely employed as a neural control source for lower-limb exoskeletons, in which gait recognition based on sEMG is particularly important. Many scholars have taken measures to improve the accuracy of gait recognition, but several real-time limitations affect...

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Detalles Bibliográficos
Autores principales: Zhang, Xianfu, Hu, Yuping, Luo, Ruimin, Li, Chao, Tang, Zhichuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707310/
https://www.ncbi.nlm.nih.gov/pubmed/34960457
http://dx.doi.org/10.3390/s21248365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707310/
https://www.ncbi.nlm.nih.gov/pubmed/34960457
http://dx.doi.org/10.3390/s21248365

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