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Alternative TitleEMG-based estimation for multi-joint continuous movement of human upper limb
丁其川; 赵新刚; 韩建达
Source Publication机器人
Indexed ByEI ; CSCD
EI Accession number20143900069180
Contribution Rank1
Funding Organization国家自然科学基金资助项目(61273355,61273356,61035005)
Keyword肌电信号 上肢运动 运动估计 人机交互
Other AbstractIn order to build a generalized model to relate the electromyography (EMG) signals and the continuous movement variables of the upper limb joints, the motion of human's upper limb is firstly investigated by utilizing the Vicon visual system. Then, the surface EMG (sEMG) signals are sampled from the muscles directly concerned with the upper limb motion, and the muscle activities are extracted from the raw sEMG signals. On the basis, the principal component analysis algorithm is employed to decouple the joint motion and calculate the main elements of muscle activities which determine the joint motion. Finally, a motion model is constructed to map the muscle activities to the multijoint angles of the upper limb via fitting high-order polynomials. Extensive experiments are conducted to verify that the continuous joint angles of the upper limb motion can be accurately estimated by using the proposed model. Moreover, the proposed method is superior to a traditional neural network in estimation performance.
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Cited Times:5[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
丁其川,赵新刚,韩建达. 基于肌电信号的上肢多关节连续运动估计[J]. 机器人,2014,36(4):469-476.
APA 丁其川,赵新刚,&韩建达.(2014).基于肌电信号的上肢多关节连续运动估计.机器人,36(4),469-476.
MLA 丁其川,et al."基于肌电信号的上肢多关节连续运动估计".机器人 36.4(2014):469-476.
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