Optimization-based posture prediction for analysis of box lifting tasks

Authors:
Tim Marler;Lindsey Knake;Ross Johnson
Affiliations:
Center for Computer Aided Design, Virtual Soldier Research Program, The Univeristy of Iowa, Iowa City, Iowa;Center for Computer Aided Design, Virtual Soldier Research Program, The Univeristy of Iowa, Iowa City, Iowa;Center for Computer Aided Design, Virtual Soldier Research Program, The Univeristy of Iowa, Iowa City, Iowa
Venue:
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
Year:
2011

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Abstract

New methods for optimization-based posture prediction with external forces are presented and tested. The proposed approach incorporates prediction of 113 degrees of freedom including global position and orientation of the body as well as foot position, while considering balance. Postures and joint torques are successfully predicted and compared to motion-capture data and literature-based data respectively. This approach is applied to a box-lifting task and provides a robust tool for studying human performance and for preventing injuries.