Estimation of knee joint movement using single-channel sEMG signals with a feature-guided convolutional neural network

Estimating human motion intention, such as intent joint torque and movement, plays a crucial role in assistive robotics for ensuring efficient and safe human-robot interaction. For coupled human-robot systems, surface electromyography (sEMG) signal has been proven as an effective means for estimatin...

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Detalles Bibliográficos
Autores principales: Zhang, Song, Lu, Jiewei, Huo, Weiguang, Yu, Ningbo, Han, Jianda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640579/
https://www.ncbi.nlm.nih.gov/pubmed/36386394
http://dx.doi.org/10.3389/fnbot.2022.978014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640579/
https://www.ncbi.nlm.nih.gov/pubmed/36386394
http://dx.doi.org/10.3389/fnbot.2022.978014

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