Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression
Li, Q. L.1; Song, Y.2; Hou, Z. G.3
2015-06-01
发表期刊NEURAL PROCESSING LETTERS
卷号41期号:3页码:371-388
文章类型Article
摘要In this paper, a new technique for predicting human lower limb periodic motions from multi-channel surface ElectroMyoGram (sEMG) was proposed on the basis of least-squares support vector regression (LS-SVR). The sEMG signals were sampled from seven human lower limb muscles. Two channels sEMG were selected and mapped to muscle activation levels for angles estimation based on cross-correlation analysis. To deal with the time delay introduced by low-pass filtering of raw sEMG, a -order dynamic model was derived to represent the dynamic relationship between the joint angles and muscle activation levels. The dynamic model was built by data driven LS-SVR with radial basis function kernel. The inputs of the LS-SVR are muscle activation levels, and the outputs are joint angles of the hip and knee. In experiments, 48 sEMG-angle datasets sampled from six healthy people were utilized to verify the effectiveness of the proposed method. Result shows that the human lower limb joint angles can be well estimated in different motion conditions.
关键词Semg Ls-svr Motion Estimation Neural Network Support Vector Machine Rehabilitation
WOS标题词Science & Technology ; Technology
关键词[WOS]NEURAL-NETWORK ; JOINT ; ELECTROMYOGRAPHY
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000354203700006
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8071
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.China Univ Min & Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China
2.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
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Li, Q. L.,Song, Y.,Hou, Z. G.. Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression[J]. NEURAL PROCESSING LETTERS,2015,41(3):371-388.
APA Li, Q. L.,Song, Y.,&Hou, Z. G..(2015).Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression.NEURAL PROCESSING LETTERS,41(3),371-388.
MLA Li, Q. L.,et al."Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression".NEURAL PROCESSING LETTERS 41.3(2015):371-388.
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