Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements

Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements

Surface electromyogram (sEMG) signals have been used in human motion intention recognition, which has significant application prospects in the fields of rehabilitation medicine and cognitive science. However, some valuable dynamic information on upper-limb motions is lost in the process of feature e...

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Bibliographic Details
Main Authors: Tianyang Zhong, Donglin Li, Jianhui Wang, Jiacan Xu, Zida An, Yue Zhu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
surface electromyogram
motion intention recognition
multiscale time–frequency information fusion representation
multiple feature fusion network
deep belief network
Online Access:https://www.mdpi.com/1424-8220/21/16/5385

Internet

https://www.mdpi.com/1424-8220/21/16/5385

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