Journal article
Predictive dynamics: an optimization-based novel approach for human motion simulation
Structural and Multidisciplinary Optimization, Vol.41(3), pp.465-479
04/2010
DOI: 10.1007/s00158-009-0423-z
Abstract
Predictive dynamics is a novel approach for simulating human motion. It avoids direct integration of differential-algebraic equations in order to create the resulting simulations for redundant digital human models. Instead, it formulates an optimization problem by defining appropriate performance measures and constraints to recover the real motion of the dynamic system. In the formulation, both kinematics and kinetics parameters serve as unknowns, and equations of motion are treated as equality constraints. Procedures to choose physical performance measures and appropriate constraints based on the available information about the bio-system are presented. The proposed methodology is illustrated and studied by first predicting the swinging motion of a single pendulum with externally applied torque. The pendulum can represent the motion of upper and lower extremities. This simple problem has analytical solutions and is used to gain insights for the predictive dynamics approach. In addition, a complex human walking task is simulated by using the approach, and realistic results are obtained. Such motion prediction capabilities have a wide variety of applications for industries ranging from automotive to military to clinical analysis and design.
Details
- Title: Subtitle
- Predictive dynamics: an optimization-based novel approach for human motion simulation
- Creators
- Yujiang Xiang - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USAHyun-Joon Chung - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USAJoo H Kim - University of IowaRajankumar Bhatt - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USASalam Rahmatalla - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USAJingzhou Yang - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USATimothy Marler - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USAJasbir Arora - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USAKarim Abdel-Malek - VSR/CCAD/College of Engineering The University of Iowa Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Structural and Multidisciplinary Optimization, Vol.41(3), pp.465-479
- DOI
- 10.1007/s00158-009-0423-z
- ISSN
- 1615-147X
- eISSN
- 1615-1488
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- Language
- English
- Date published
- 04/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Iowa Technology Institute; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9983992090502771
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