CSAC-Net: Fast Adaptive sEMG Recognition through Attention Convolution Network and Model-Agnostic Meta-Learning

Gesture recognition through surface electromyography (sEMG) provides a new method for the control algorithm of bionic limbs, which is a promising technology in the field of human–computer interaction. However, subject specificity of sEMG along with the offset of the electrode makes it challenging to...

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Detalles Bibliográficos
Autores principales: Fan, Xinchen, Zou, Lancheng, Liu, Ziwu, He, Yanru, Zou, Lian, Chi, Ruan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144628/
https://www.ncbi.nlm.nih.gov/pubmed/35632069
http://dx.doi.org/10.3390/s22103661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144628/
https://www.ncbi.nlm.nih.gov/pubmed/35632069
http://dx.doi.org/10.3390/s22103661

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