Multi-Stream Convolutional Neural Network-Based Wearable, Flexible Bionic Gesture Surface Muscle Feature Extraction and Recognition

Surface electromyographic (sEMG) signals are weak physiological electrical signals, which are highly susceptible to coupling external noise and cause major difficulties in signal acquisition and processing. The study of using sEMG signals to analyze human motion intention mainly involves data prepro...

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Detalles Bibliográficos
Autores principales: Liu, Wansu, Lu, Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927293/
https://www.ncbi.nlm.nih.gov/pubmed/35310001
http://dx.doi.org/10.3389/fbioe.2022.833793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927293/
https://www.ncbi.nlm.nih.gov/pubmed/35310001
http://dx.doi.org/10.3389/fbioe.2022.833793

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