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Towards bridging the gap between motion capturing and biomechanical optimal control simulations

 
: Gail, Tobias; Hoffmann, Ramona; Miezal, Markus; Bleser, Gabriele; Leyendecker, Sigrid

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Fulltext urn:nbn:de:0011-n-3722088 (454 KByte PDF)
MD5 Fingerprint: 9c24a1e92fe348967f89eb3365a96b39
Created on: 13.1.2016


Font-Llagunes, J.M. ; International Center for Numerical Methods in Engineering -CIMNE-; European Community on Computational Methods in Applied Science -ECCOMAS-:
ECCOMAS Thematic Conference on Multibody Dynamics 2015. Online resource : Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015, Barcelona, June 29 - July 2, 2015
Barcelona, 2015
http://www.multibody2015.org/frontal/img/Ebook_Multibody_2015.pdf
ISBN: 978-84-944244-0-3
pp.1080-1091
Thematic Conference on Multibody Dynamics <2015, Barcelona>
English
Conference Paper, Electronic Publication
Fraunhofer ITWM ()
optimal control simulation; optical motion capture; soft tissue artefacts; measurement sparsity

Abstract
Within this work, we make a first attempt towards improving human motion capture by combining motion capturing measurements and optimal control simulations of a human steering motion. We start with measurements obtained from a stationary optical system, a widespread capturing technology in biomechanics and movement science, under laboratory conditions. From an optimal control point of view, the goal is to increase the realism of simulated human motion through measurements. From a motion capturing point of view, the goal is to compensate for measurement sparsity, errors or lacks through meaningful assumptions based on biomechanical simulation. Our preliminary results show that a fusion of physical laws, biomechanical simulation and real data within an optimal control simulation framework indeed have the potential to improve motion capture and synthesis with respect to some of their inherent problems.

: http://publica.fraunhofer.de/documents/N-372208.html