Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature

Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature

Continuous joint angle estimation based on a surface electromyography (sEMG) signal can be used to improve the man-machine coordination performance of the exoskeleton. In this study, we proposed a time-advanced feature and utilized long short-term memory (LSTM) with a root mean square (RMS) feature...

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Bibliographic Details
Main Authors: Xunju Ma, Yali Liu, Qiuzhi Song, Can Wang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
sEMG
LSTM
time-advance
feature
estimation
Online Access:https://www.mdpi.com/1424-8220/20/17/4966

Internet

https://www.mdpi.com/1424-8220/20/17/4966

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