Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75280
Title: Optimal control and synergic pattern analysis of upper limb reaching-grasping movements
Authors: Yang, YY
Wang, RC
Zhang, M 
Jin, DW
Wu, FF
Keywords: Optimal control
Reaching to grasp movements
Synergic pattern
Upper limb
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4561 LNCS, p. 268-275 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: A three-dimension, neuromusculoskeletal model of the human upper limb, consisting of 30 muscle-tendon systems, was combined with dynamic optimization theory to simulate reaching-grasping movements. The model was verified using experimental kinematics, muscle forces, and electromyographic(EMG) data from volunteer subjects performing reaching-grasping movements. Despite joint redundancy, the topological invariance was observed in the trajectories of different task performance, and the linear relationships between joints covariation were exhibited. Quantitative comparisons of the model predictions and muscle activations obtained from experiment show that the minimum torque-change criterion is a valid measure of reaching-grasping performance.
Description: 1st International Conference on Digital Human Modeling, ICDHM 2007, Beijing, 22-27 July 2007
URI: http://hdl.handle.net/10397/75280
ISBN: 9783540733188
ISSN: 0302-9743
EISSN: 1611-3349
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