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Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability

Author

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  • Bertram Taetz
  • Wolfgang Teufl
  • Alexander Weidmann
  • Juliane Pietschmann
  • Thomas Jöllenbeck
  • Gabriele Bleser

Abstract

Systems for instrumented motion analysis depend on an accurate biomechanical model. In this work an existing statistical shape fitting approach was adapted to register a parametrized human surface model with annotated anatomical landmarks to a point cloud obtained from one frontal depth camera view. Based on the obtained landmark positions joint centers, segment lengths and segment orientations of the lower body were calculated. The outcome was validated among two groups of healthy and impaired subjects, using a marker-based optical motion capture system. The results reveal a valid and reliable approach for obtaining an individualized lower body biomechanical model with minimum effort.

Suggested Citation

  • Bertram Taetz & Wolfgang Teufl & Alexander Weidmann & Juliane Pietschmann & Thomas Jöllenbeck & Gabriele Bleser, 2020. "Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(1), pages 12-22, January.
    • Handle: RePEc:taf:gcmbxx:v:23:y:2020:i:1:p:12-22
    DOI: 10.1080/10255842.2019.1688310
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