High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network

High-density surface electromyography (HD-sEMG) and deep learning technology are becoming increasingly used in gesture recognition. Based on electrode grid data, information can be extracted in the form of images that are generated with instant values of multi-channel sEMG signals. In previous studi...

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Detalles Bibliográficos
Autores principales: Chen, Jiangcheng, Bi, Sheng, Zhang, George, Cao, Guangzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070985/
https://www.ncbi.nlm.nih.gov/pubmed/32098264
http://dx.doi.org/10.3390/s20041201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070985/
https://www.ncbi.nlm.nih.gov/pubmed/32098264
http://dx.doi.org/10.3390/s20041201

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