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The kinematics of cyclic human movement

View ORCID ProfileManfred M. Vieten, Christian Weich
doi: https://doi.org/10.1101/826313
Manfred M. Vieten
1Department of Sport Science, University of Konstanz, Konstanz, Germany
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  • For correspondence: Manfred.Vieten@uni-konstanz.de
Christian Weich
1Department of Sport Science, University of Konstanz, Konstanz, Germany
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Abstract

Models describing cyclic movement can roughly be divided into the categories theory or data driven. Theory driven models include anatomical and physiological aspects. They are principally suitable for answering questions about the reasons for movement characteristics. But, they are complicated and substantial simplifications do not allow generally valid results. Data driven models allow answering specific questions but lack the understanding of the general movement characteristic. With this paper we try a compromise not having to rely on anatomy, neurology and muscle function. We hypothesize a general kinematic description of cyclic human motion is possible without having to specify the movement generating processes, and still getting the kinematic right. The model proposed consisting of a superposition of six contributions – subject’s attractor, morphing, short time fluctuation, transient effect, control mechanism and sensor noise -, with characterizing numbers and random contributions. We test the model with data form treadmill running and stationary biking. Applying the model in form of a simulation results in good agreement between measured data and simulation values.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted October 31, 2019.
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The kinematics of cyclic human movement
Manfred M. Vieten, Christian Weich
bioRxiv 826313; doi: https://doi.org/10.1101/826313
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The kinematics of cyclic human movement
Manfred M. Vieten, Christian Weich
bioRxiv 826313; doi: https://doi.org/10.1101/826313

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