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A contact model to simulate human–artifact interaction based on force optimization: implementation and application to the analysis of a training machine

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  • Daniel Krüger
  • Sandro Wartzack

Abstract

Musculoskeletal multibody models are increasingly used to analyze and optimize physical interactions between humans and technical artifacts. Since interaction is conveyed by contact between the human body and the artifact, a computationally robust modeling approach for frictional contact forces is a crucial aspect. In this contribution, we propose a parametric contact model and formulate an associated force optimization problem to simultaneously estimate unknown muscle and contact forces in an inverse dynamic manner from a prescribed motion trajectory. Unlike existing work, we consider both the static and the kinetic regime of Coulomb’s friction law. The approach is applied to the analysis of a leg extension training machine with the objective to reduce the stress on the tibiofemoral joint. The uncertainty of the simulation results due to a tunable parameter of the contact model is of particular interest.

Suggested Citation

  • Daniel Krüger & Sandro Wartzack, 2017. "A contact model to simulate human–artifact interaction based on force optimization: implementation and application to the analysis of a training machine," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(15), pages 1589-1598, November.
    • Handle: RePEc:taf:gcmbxx:v:20:y:2017:i:15:p:1589-1598
    DOI: 10.1080/10255842.2017.1393804
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