NDLI: Predictive dynamics: an optimization-based novel approach for human motion simulation

Content Provider	Springer Nature Link
Author	Xiang, Yujiang Chung, Hyun Joon Kim, Joo H. Bhatt, Rajankumar Rahmatalla, Salam Yang, Jingzhou Marler, Timothy Arora, Jasbir S. Abdel Malek, Karim
Copyright Year	2009
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.
Starting Page	465
Ending Page	479
Page Count	15
File Format	PDF
ISSN	1615147X
Journal	Structural and Multidisciplinary Optimization
Volume Number	41
Issue Number	3
e-ISSN	16151488
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-08-21
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Predictive dynamics Optimization Human motion simulation Forward dynamics Inverse dynamics Single pendulum Walking Engineering Design Computational Mathematics and Numerical Analysis Theoretical and Applied Mechanics
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Graphics and Computer-Aided Design Control and Systems Engineering Computer Science Applications Software

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