Estimation of Knee Movement from Surface EMG Using Random Forest with Principal Component Analysis

Volume: 9, Issue: 1, Pages: 43 - 43
Published: Dec 28, 2019
Abstract
To study the relationship between surface electromyography (sEMG) and joint movement, and to provide reliable reference information for the exoskeleton control, the sEMG and the corresponding movement of the knee during the normal walking of adults have been measured. After processing the experimental data, the estimation model for knee movement from sEMG was established using the novel method of random forest with principal component analysis...
Paper Details
Title
Estimation of Knee Movement from Surface EMG Using Random Forest with Principal Component Analysis
Published Date
Dec 28, 2019
Volume
9
Issue
1
Pages
43 - 43
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