Conference proceeding
Predictive Simulation of Human Walk-to-Run Transition
Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B, Vol.2, pp.653-657
ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, Illinois, USA, Aug. 12 - 15, 2012
08/12/2012
DOI: 10.1115/DETC2012-70171
Abstract
A general optimization formulation for walk-to-run transition prediction using 3D skeletal model is presented. The walk-to-run transition is used to connect fast walking to slow running by using a step-to-step transition formulation. Walk-to-run transition includes four phases: double support walking phase, single support swinging phase, running phase, and finally single support running phase. The transition task is formulated as an optimization problem in which the dynamic effort is minimized subject to basic physical constraints. The joint torques and ground reaction forces (GRF) are recovered and analyzed from the simulation. The optimal solution of transition simulation is obtained in a few minutes by using predictive dynamics method.
Details
- Title: Subtitle
- Predictive Simulation of Human Walk-to-Run Transition
- Creators
- Hyun-Joon Chung - University of IowaYujiang Xiang - University of IowaRajan Bhatt - University of IowaJasbir S Arora - University of IowaKarim Abdel-Malek - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B, Vol.2, pp.653-657
- Conference
- ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, Illinois, USA, Aug. 12 - 15, 2012
- DOI
- 10.1115/DETC2012-70171
- Publisher
- American Society of Mechanical Engineers
- Language
- English
- Date published
- 08/12/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Iowa Technology Institute; Mechanical Engineering
- Record Identifier
- 9984195170802771
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