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A kinematic method for computing the motion of the body centre-of-mass (CoM) during walking: a Bayesian approach

Author

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  • Fabio Martínez
  • Francisco Gómez
  • Eduardo Romero

Abstract

The gait pattern of a particular patient can be altered in a large set of pathologies. Tracking the body centre-of-mass (CoM) during the gait allows a quantitative evaluation of these diseases at comparing the gait with normal patterns. A correct estimation of this variable is still an open question because of its non-linearity and inaccurate location. This paper presents a novel strategy for tracking the CoM, using a biomechanical gait model whose parameters are determined by a Bayesian strategy. A particle filter is herein implemented for predicting the model parameters from a set of markers located at the sacral zone. The present approach is compared with other conventional tracking methods and decreases the calculated root mean squared error in about a 56% in the x-axis and 59% in the y-axis.

Suggested Citation

  • Fabio Martínez & Francisco Gómez & Eduardo Romero, 2011. "A kinematic method for computing the motion of the body centre-of-mass (CoM) during walking: a Bayesian approach," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(06), pages 561-572.
    • Handle: RePEc:taf:gcmbxx:v:14:y:2011:i:06:p:561-572
    DOI: 10.1080/10255842.2010.486761
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