High-order polynomials based human lower limbs of continuous movement of estimation method. Issue 1 (1st August 2022)

• Record Type: Journal Article
• Authors: Tao, Yunfei; Huang, Yuping; Zheng, Jigui; Chen, Jing; Zhang, Zhaojing; Guo, Yajing
• Is Part Of: Journal of physics. Volume 2336:Issue 1(2022)
• Publication Date: 2022-08-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2336/1/012005
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In order to obtain the estimated value of the continuous motion of the lower limbs of the human body (abbreviated as CMLLHB) and realize the better human-machine collaborative control effect of the exoskeleton robot, a method for estimating the amount of CMLLHB based on sEMG and high-order polynomials is proposed. Extract and form 5 feature parameter matrices of 8 channels of signals, establish a high-order polynomial-based CMLLHB, and realize CMLLHB. Through experiments, the overall average error of angle estimation based on this method is 0.09±0.11rad, the root mean square error is 1.63rad, and the average correlation coefficient Weir is 0.79. Among them, the hip joint motion estimation effect is the best.