Classification of Walking Environments Using Deep Learning Approach Based on Surface EMG Sensors Only

Classification of terrain is a vital component in giving suitable control to a walking assistive device for the various walking conditions. Although surface electromyography (sEMG) signals have been combined with inputs from other sensors to detect walking intention, no study has yet classified walk...

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Detalles Bibliográficos
Autores principales: Kim, Pankwon, Lee, Jinkyu, Shin, Choongsoo S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233830/
https://www.ncbi.nlm.nih.gov/pubmed/34207448
http://dx.doi.org/10.3390/s21124204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233830/
https://www.ncbi.nlm.nih.gov/pubmed/34207448
http://dx.doi.org/10.3390/s21124204

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