An object-oriented approach to simulating human gait motion based on motion tracking

Martin Tändl; Tobias Stark; Nihat Ercümet Erol; Franz Löer; Andrés Kecskeméthy

International Journal of Applied Mathematics and Computer Science (2009)

  • Volume: 19, Issue: 3, page 469-483
  • ISSN: 1641-876X

Abstract

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Accurate bone motion reconstruction from marker tracking is still an open and challenging issue in biomechanics. Presented in this paper is a novel approach to gait motion reconstruction based on kinematical loops and functional skeleton features extracted from segmented Magnetic Resonance Imaging (MRI) data. The method uses an alternative path for concatenating relative motion starting at the feet and closing at the hip joints. From the evaluation of discrepancies between predicted and geometrically identified functional data, such as hip joint centers, a cost function is generated with which the prediction model can be optimized. The method is based on the object-oriented multibody library M ⃢ BILE, which has already been successfully applied to the development of industrial virtual design environments. The approach has been implemented in a general gait visualization environment termed Mobile Body.

How to cite

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Martin Tändl, et al. "An object-oriented approach to simulating human gait motion based on motion tracking." International Journal of Applied Mathematics and Computer Science 19.3 (2009): 469-483. <http://eudml.org/doc/207949>.

@article{MartinTändl2009,
abstract = {Accurate bone motion reconstruction from marker tracking is still an open and challenging issue in biomechanics. Presented in this paper is a novel approach to gait motion reconstruction based on kinematical loops and functional skeleton features extracted from segmented Magnetic Resonance Imaging (MRI) data. The method uses an alternative path for concatenating relative motion starting at the feet and closing at the hip joints. From the evaluation of discrepancies between predicted and geometrically identified functional data, such as hip joint centers, a cost function is generated with which the prediction model can be optimized. The method is based on the object-oriented multibody library M ⃢ BILE, which has already been successfully applied to the development of industrial virtual design environments. The approach has been implemented in a general gait visualization environment termed Mobile Body.},
author = {Martin Tändl, Tobias Stark, Nihat Ercümet Erol, Franz Löer, Andrés Kecskeméthy},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {gait/motion analysis; muskuloskeletal system; multibody simulation; MRI; X-ray; motion tracking},
language = {eng},
number = {3},
pages = {469-483},
title = {An object-oriented approach to simulating human gait motion based on motion tracking},
url = {http://eudml.org/doc/207949},
volume = {19},
year = {2009},
}

TY - JOUR
AU - Martin Tändl
AU - Tobias Stark
AU - Nihat Ercümet Erol
AU - Franz Löer
AU - Andrés Kecskeméthy
TI - An object-oriented approach to simulating human gait motion based on motion tracking
JO - International Journal of Applied Mathematics and Computer Science
PY - 2009
VL - 19
IS - 3
SP - 469
EP - 483
AB - Accurate bone motion reconstruction from marker tracking is still an open and challenging issue in biomechanics. Presented in this paper is a novel approach to gait motion reconstruction based on kinematical loops and functional skeleton features extracted from segmented Magnetic Resonance Imaging (MRI) data. The method uses an alternative path for concatenating relative motion starting at the feet and closing at the hip joints. From the evaluation of discrepancies between predicted and geometrically identified functional data, such as hip joint centers, a cost function is generated with which the prediction model can be optimized. The method is based on the object-oriented multibody library M ⃢ BILE, which has already been successfully applied to the development of industrial virtual design environments. The approach has been implemented in a general gait visualization environment termed Mobile Body.
LA - eng
KW - gait/motion analysis; muskuloskeletal system; multibody simulation; MRI; X-ray; motion tracking
UR - http://eudml.org/doc/207949
ER -

References

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