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Physics-Based Models for Human Gait Analysis

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Handbook of Human Motion

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Abstract

This chapter deals with fundamental methods as well as current research on physics-based human gait analysis. We present valuable concepts that allow efficient modeling of the kinematics and the dynamics of the human body. The resulting physical model can be included in an optimization-based framework. In this context, we show how forward dynamics optimization can be used to determine the producing forces of gait patterns.

To present a current subject of research, we provide a description of a 2D physics-based statistical model for human gait analysis that exploits parameter learning to estimate unobservable joint torques and external forces directly from motion input. The robustness of this algorithm with respect to occluded joint trajectories is shown in a short experiment. Furthermore, we present a method that uses the former techniques for video-based gait analysis by combining them with a nonrigid structure from motion approach. To examine the applicability of this method, a brief evaluation of the performance regarding joint torque and ground reaction force estimation is provided.

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Authors and Affiliations

  1. Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany

    Petrissa Zell, Bastian Wandt & Bodo Rosenhahn

Authors
  1. Petrissa Zell
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  2. Bastian Wandt
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  3. Bodo Rosenhahn
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Corresponding author

Correspondence to Petrissa Zell .

Editor information

Editors and Affiliations

  1. Motion & More, Barcelona, Spain

    Bertram Müller

  2. Klinik für Orthopädie und Unfallchirurgi, Universitätsklinikum Heidelberg, Heidelberg, Germany

    Sebastian I. Wolf

  3. Institut for Biomechanics und Orthopedic, German Sport University Cologne, Cologne, Germany

    Gert-Peter Brueggemann

  4. Houston, Texas, USA

    Zhigang Deng

  5. ACRISP, FedUniversity, Cremorne, New South Wales, Australia

    Andrew McIntosh

  6. Wilmington, Delaware, USA

    Freeman Miller

  7. Research, C-Motion, Inc., Germantown, Maryland, USA

    William Scott Selbie

Section Editor information

  1. Has-Motion Inc., 27 Sydenham Street, K7L3G8, Kingston, ON, Canada

    William Scott Selbie

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Zell, P., Wandt, B., Rosenhahn, B. (2016). Physics-Based Models for Human Gait Analysis. In: Müller, B., et al. Handbook of Human Motion. Springer, Cham. https://doi.org/10.1007/978-3-319-30808-1_164-1

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  • DOI: https://doi.org/10.1007/978-3-319-30808-1_164-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30808-1

  • Online ISBN: 978-3-319-30808-1

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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