Feature Fusion-Based Improved Capsule Network for sEMG Signal Recognition

This paper proposes a feature fusion-based improved capsule network (FFiCAPS) to improve the performance of surface electromyogram (sEMG) signal recognition with the purpose of distinguishing hand gestures. Current deep learning models, especially convolution neural networks (CNNs), only take into a...

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Detalles Bibliográficos
Autores principales: Wang, Wanliang, You, Wenbo, Wang, Zheng, Zhao, Yanwei, Wei, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799348/
https://www.ncbi.nlm.nih.gov/pubmed/35096047
http://dx.doi.org/10.1155/2022/7603319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799348/
https://www.ncbi.nlm.nih.gov/pubmed/35096047
http://dx.doi.org/10.1155/2022/7603319

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