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

Comput Methods Biomech Biomed Engin. 2020 Jan;23(1):12-22. doi: 10.1080/10255842.2019.1688310. Epub 2019 Nov 15.

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.

Keywords: Anthropometric data; inertial measurement unit; joint center; marker less shape estimation; movement analysis; segment length.

MeSH terms

  • Adult
  • Algorithms
  • Anatomic Landmarks
  • Biomechanical Phenomena
  • Female
  • Humans
  • Lower Extremity / physiology*
  • Male
  • Middle Aged
  • Models, Biological*
  • Photography / instrumentation*
  • Range of Motion, Articular
  • Reproducibility of Results
  • Statistics as Topic*
  • Young Adult