Journal article
Optimization-based dynamic 3D human running prediction: effects of foot location and orientation
Robotica, Vol.33(2), pp.413-435
02/2015
DOI: 10.1017/S0263574714000253
Abstract
This paper presents optimization-based dynamic three-dimensional (3D) human running prediction. A predictive dynamics method is used to formulate the running problem, and normal running is formulated as a symmetric and cyclic motion. In addition, a slow jog along curved paths has been formulated. It is a non-symmetric running motion, so a stride formulation has been used. The dynamic effort and impulse are used as the performance measure, and the upper body yawing moment is also included in the performance measure. The joint angle profiles and joint torque profiles are calculated for the full-body human model, and the ground reaction force is determined. The effects of foot location and orientation on the running motion prediction are simulated and studied. Simulation results from this methodology show good correlation with experimental data obtained from human subjects.
Details
- Title: Subtitle
- Optimization-based dynamic 3D human running prediction: effects of foot location and orientation
- Creators
- Hyun-Joon Chung - University of IowaYujiang Xiang - University of Alaska FairbanksJasbir S Arora - University of IowaKarim Abdel-Malek - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Robotica, Vol.33(2), pp.413-435
- Publisher
- Cambridge University Press
- DOI
- 10.1017/S0263574714000253
- ISSN
- 0263-5747
- eISSN
- 1469-8668
- Number of pages
- 23
- Language
- English
- Date published
- 02/2015
- Academic Unit
- Civil and Environmental Engineering; Roy J. Carver Department of Biomedical Engineering; Mechanical Engineering
- Record Identifier
- 9984195166402771
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