Journal article
Hybrid predictive dynamics: a new approach to simulate human motion
Multibody system dynamics, Vol.28(3), pp.199-224
09/2012
DOI: 10.1007/s11044-012-9306-y
Abstract
A new methodology, called hybrid predictive dynamics (HPD), is introduced in this work to simulate human motion. HPD is defined as an optimization-based motion prediction approach in which the joint angle control points are unknowns in the equations of motion. Some of these control points are bounded by the experimental data. The joint torque and ground reaction forces are calculated by an inverse algorithm in the optimization procedure. Therefore, the proposed method is able to incorporate motion capture data into the formulation to predict natural and subject-specific human motions. Hybrid predictive dynamics includes three procedures, and each is a sub-optimization problem. First, the motion capture data are transferred from Cartesian space into joint space by using optimization-based inverse kinematics (IK) methodology. Secondly, joint profiles obtained from IK are interpolated by B-spline control points by using an error-minimization algorithm. Third, boundaries are built on the control points to represent specific joint profiles from experiments, and these boundaries are used to guide the predicted human motion. To predict more accurate motion, the boundaries can also be built on the kinetic variables if the experimental data are available. The efficiency of the method is demonstrated by simulating a box-lifting motion. The proposed method takes advantage of both prediction and tracking capabilities simultaneously, so that HPD has more applications in human motion prediction, especially towards clinical applications.
Details
- Title: Subtitle
- Hybrid predictive dynamics: a new approach to simulate human motion
- Creators
- Yujiang Xiang - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USAJasbir Arora - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USAKarim Abdel-Malek - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Multibody system dynamics, Vol.28(3), pp.199-224
- Publisher
- Springer Netherlands; Dordrecht
- DOI
- 10.1007/s11044-012-9306-y
- ISSN
- 1384-5640
- eISSN
- 1573-272X
- Language
- English
- Date published
- 09/2012
- Academic Unit
- Civil and Environmental Engineering; Roy J. Carver Department of Biomedical Engineering; Mechanical Engineering
- Record Identifier
- 9984064592302771
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