Angle Estimation for Knee Joint Movement Based on PCA-RELM Algorithm

Angle Estimation for Knee Joint Movement Based on PCA-RELM Algorithm

Surface electromyogram (sEMG) signals are easy to record and offer valuable motion information, such as symmetric and periodic motion in human gait. Due to these characteristics, sEMG is widely used in human-computer interaction, clinical diagnosis and rehabilitation medicine, sports medicine and ot...

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Bibliographic Details
Main Authors: Yanxia Deng, Farong Gao, Huihui Chen
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Symmetry
Subjects:
joint angle estimation
principal component analysis (pca)
regularized extreme learning machine (relm)
surface electromyogram (semg)
error analysis
Online Access:https://www.mdpi.com/2073-8994/12/1/130

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https://www.mdpi.com/2073-8994/12/1/130

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