MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition

In the field of surface electromyography (sEMG) gesture recognition, how to improve recognition accuracy has been a research hotspot. The rapid development of deep learning provides a new solution to this problem. At present, the main applications of deep learning for sEMG gesture feature extraction...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Xiangdong, Zhou, Xiao, Zhu, Huaqiang, Ke, Zejun, Pan, Congcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639816/
https://www.ncbi.nlm.nih.gov/pubmed/36342906
http://dx.doi.org/10.1371/journal.pone.0276436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639816/
https://www.ncbi.nlm.nih.gov/pubmed/36342906
http://dx.doi.org/10.1371/journal.pone.0276436

Ejemplares similares