A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition

The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN) architecture which captures spatial information of...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Yu, Wong, Yongkang, Wei, Wentao, Du, Yu, Kankanhalli, Mohan, Geng, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207326/
https://www.ncbi.nlm.nih.gov/pubmed/30376567
http://dx.doi.org/10.1371/journal.pone.0206049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207326/
https://www.ncbi.nlm.nih.gov/pubmed/30376567
http://dx.doi.org/10.1371/journal.pone.0206049

Ejemplares similares