Moving Statistical Body Shape Models Using Blender

  • Sofia ScatagliniEmail author
  • Femke Danckaers
  • Robby Haelterman
  • Toon Huysmans
  • Jan Sijbers
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 822)


In this paper, we present a new framework to integrate movement acquired by a motion capture system to a statistical body shape model using Blender. This provides a visualization of a digital human model based upon anthropometry and biomechanics of the subject. A moving statistical body shape model helps to visualize physical tasks with inter-individual variability in body shapes as well as anthropometric dimensions. This parametric modeling approach is useful for reliable prediction and simulation of the body shape movement of a specific population with a few given predictors such as stature, body mass index and age.


Statistical body shape modeling Digital human modeling Blender Motion capture 



This work was supported by the Agency for Innovation by Science and Technology in Flanders (IWT-SB 141520). We acknowledge Alain Vanhove of the Royal Military Academy for his contribution in the 3D modeling. We would also like to thank all the participants in this study.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sofia Scataglini
    • 1
    • 2
    Email author
  • Femke Danckaers
    • 3
  • Robby Haelterman
    • 1
  • Toon Huysmans
    • 3
    • 4
  • Jan Sijbers
    • 3
  1. 1.Department of Mathematics (MWMW)Royal Military AcademyBrusselsBelgium
  2. 2.Military Hospital Queen AstridBrusselsBelgium
  3. 3.imec – Vision Lab, Department of PhysicsUniversity of AntwerpAntwerpBelgium
  4. 4.Applied Ergonomics and Design, Department of Industrial DesignTU DelftDelftNetherlands

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