Optimization-based dynamic human walking prediction

Y. Xiang, H. J. Chung, A. Mathai, S. Rahmatalla, J. Kim, T. Marler, S. Beck, J. Yang, J. S. Arora, K. Abdel-Malek, J. Obusek

Research output: Contribution to journalConference article

18 Scopus citations

Abstract

In this study, an optimization-based approach for simulating the walking motion of a digital human model is presented. A spatial skeletal model having 55 degrees of freedom is used to demonstrate the approach. Design variables are the joint angle profiles. Walking motion is generated by minimizing the mechanical energy subjected to basic physical and kinematical constraints. A formulation for symmetric and periodic normal walking is developed and results are presented. Backpack and ground reaction forces are taken into account in the current formulation, and the effects of the backpack on normal walking are discussed.

Original languageEnglish
JournalSAE Technical Papers
DOIs
StatePublished - 2007
EventDigital Human Modeling for Design and Engineering Conference and Exhibition - Seattle, WA, United States
Duration: Jun 12 2007Jun 14 2007

Cite this

Xiang, Y., Chung, H. J., Mathai, A., Rahmatalla, S., Kim, J., Marler, T., Beck, S., Yang, J., Arora, J. S., Abdel-Malek, K., & Obusek, J. (2007). Optimization-based dynamic human walking prediction. SAE Technical Papers. https://doi.org/10.4271/2007-01-2489