Optimal control and synergic pattern analysis of upper limb reaching-grasping movements

Yiyong Yang; Rencheng Wang; Ming Zhang; Dewen Jin; Fangfang Wu

Optimal control and synergic pattern analysis of upper limb reaching-grasping movements

Yiyong Yang, Rencheng Wang, Ming Zhang, Dewen Jin, Fangfang Wu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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.

Original language	English
Title of host publication	Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings
Pages	268-275
Number of pages	8
Publication status	Published - 1 Dec 2007
Event	1st International Conference on Digital Human Modeling, ICDHM 2007 - Beijing, China Duration: 22 Jul 2007 → 27 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4561 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Digital Human Modeling, ICDHM 2007
Country/Territory	China
City	Beijing
Period	22/07/07 → 27/07/07

Keywords

Optimal control
Reaching to grasp movements
Synergic pattern
Upper limb

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Yang, Y., Wang, R., Zhang, M., Jin, D., & Wu, F. (2007). Optimal control and synergic pattern analysis of upper limb reaching-grasping movements. In Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings (pp. 268-275). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4561 LNCS).

Yang, Yiyong ; Wang, Rencheng ; Zhang, Ming et al. / Optimal control and synergic pattern analysis of upper limb reaching-grasping movements. Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings. 2007. pp. 268-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Optimal control and synergic pattern analysis of upper limb reaching-grasping movements",

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.",

keywords = "Optimal control, Reaching to grasp movements, Synergic pattern, Upper limb",

author = "Yiyong Yang and Rencheng Wang and Ming Zhang and Dewen Jin and Fangfang Wu",

year = "2007",

month = dec,

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings",

note = "1st International Conference on Digital Human Modeling, ICDHM 2007 ; Conference date: 22-07-2007 Through 27-07-2007",

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Yang, Y, Wang, R, Zhang, M, Jin, D & Wu, F 2007, Optimal control and synergic pattern analysis of upper limb reaching-grasping movements. in Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4561 LNCS, pp. 268-275, 1st International Conference on Digital Human Modeling, ICDHM 2007, Beijing, China, 22/07/07.

Optimal control and synergic pattern analysis of upper limb reaching-grasping movements. / Yang, Yiyong; Wang, Rencheng; Zhang, Ming et al.
Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings. 2007. p. 268-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4561 LNCS).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Optimal control and synergic pattern analysis of upper limb reaching-grasping movements

AU - Yang, Yiyong

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AU - Zhang, Ming

AU - Jin, Dewen

AU - Wu, Fangfang

PY - 2007/12/1

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N2 - 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.

AB - 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.

KW - Optimal control

KW - Reaching to grasp movements

KW - Synergic pattern

KW - Upper limb

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AN - SCOPUS:38149032340

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 268

EP - 275

BT - Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings

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Yang Y, Wang R, Zhang M, Jin D, Wu F. Optimal control and synergic pattern analysis of upper limb reaching-grasping movements. In Digital Human Modeling - First International Conference on Digital Human Modeling, ICDHM 2007. Held as Part of HCI International 2007, Proceedings. 2007. p. 268-275. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Optimal control and synergic pattern analysis of upper limb reaching-grasping movements

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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