A Continuous Estimation Model of Upper Limb Joint Angles by Using Surface Electromyography and Deep Learning Method

A Continuous Estimation Model of Upper Limb Joint Angles by Using Surface Electromyography and Deep Learning Method

The continuous control of rehabilitation robots based on surface electromyography (sEMG) is a natural control strategy that can ensure human safety and ease the discomfort of human-machine coupling. However, current models for estimating movement of the upper limb focus on two dimensions movement, a...

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Bibliographic Details
Main Authors: Yan Chen, Song Yu, Ke Ma, Shuangyuan Huang, Guofeng Li, Siqi Cai, Longhan Xie
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Continuous estimation
deep learning
LSTM
surface electromyography
Online Access:https://ieeexplore.ieee.org/document/8918182/

Internet

https://ieeexplore.ieee.org/document/8918182/

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