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A stance period approach for simplified observation of galloping as applied to canines

Published online by Cambridge University Press:  02 August 2011

Surya P. N. Singh  and
Kenneth J. Waldron
Surya P. N. Singh*
Affiliation:
Faculty of Engineering, Architecture and IT, The University of Queensland, Brisbane, QLD 4067, Australia
Kenneth J. Waldron
Affiliation:
Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia
*
*Corresponding author. E-mail: [email protected]
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Summary

The gallop is the preferred gait by mammals for agile traversal through terrain. This motion is intrinsically complex as the feet are used individually and asymmetrically. Simple models provide a conceptual framework for understanding this gait. In this light, this paper considers the footfall projections as suggested by an impulse model for galloping as a measurement simplifying strategy. Instead of concentrating on forces and inverse dynamics, this view focuses observations on leg motion (footfalls and stance periods) for subsequent gallop analysis and parameter estimation. In practice, this eases experiments (particularly for IR-based motion capture) by extending the experimental workspace, removing the need for single-leg contact force-plate measurements, and reducing the marker set. This provides shorter setup times, and it reduces postprocessing as data are less likely to suffer from occlusion, errant correspondence, and tissue flexion. This approach is tested using with three canine subjects (ranging from 8 to 24 kg) performing primarily rotary gallops down a 15 m runway. Normalized results are in keeping with insights from previous animal and legged robot studies and are consistent with motions suggested by said impulse model.

Keywords

GallopLocomotionImpulse modelGait measurementCanine
Type
Articles
Information
Robotica , Volume 30 , Issue 4 , July 2012 , pp. 627 - 633
Copyright
Copyright © Cambridge University Press 2011

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