Advertisement

Moving Statistical Body Shape Models Using Blender

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

Abstract

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.

Keywords

Statistical body shape modeling Digital human modeling Blender Motion capture 

Notes

Acknowledgement

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.

References

  1. 1.
    Cherng Z, Mosher S, Camp J, Lochtefeld D (2012) Human activity modeling and simulation with high fidelity. In: Interservice/industry training, simulation and education conference (I/ITSEC)Google Scholar
  2. 2.
    Santos WR, Braatz D, Tonin D, Menegon LZ, Luiz N (2016) Analysis of the integrated use of a motion capture system with a digital human modeling and simulation software for incorporation of future activity. Gest Prod 23(3)Google Scholar
  3. 3.
    Dai H, CAI B, Song J, Zhang D (2010) Skeletal animation based on BVH motion data. In: 2nd International conference on information engineering and computer science, pp 1–4Google Scholar
  4. 4.
    Blender Online Community (2015) Blender-a 3D modelling and rendering packageGoogle Scholar
  5. 5.
  6. 6.
  7. 7.
    Scataglini S, Truyen E, Perego P, Gallant J, Tiggelen DV, Andreoni G (2017) Smart clothing for human performance evaluation: biomechanics and design concepts evolution. In: 5th International digital human modeling symposium, Germany, BonnGoogle Scholar
  8. 8.
    Badler NI (1997) Virtual humans for animation, ergonomics, and simulation. In: Proceedings IEEE non rigid and articulated motion workshopGoogle Scholar
  9. 9.
    Danckaers F, Huysmans T, Ledda A, Verwulgen S, Van Dogen S, Sijbers J (2014) Correspondence preserving elastic surface registration with shape model prior. In: International conference of pattern recognition, pp 2143–2148Google Scholar
  10. 10.
    Danckaers F, Huysmans T, Hallemans A, De Bruyne G, Truijen S, Sijbers J (2018) Full body statistical shape modeling with posture normalization. In: Cassenti D (ed) Advances in human factors in simulation and modeling. AHFE 2017. Advances in intelligent systems and computing, vol 591. Springer, Cham (2017)Google Scholar
  11. 11.
    Danckaers F, Scataglini S, Haelterman R, Van Tiggelen D, Huysmans T, Sijbers J. Automatic generation of statistical shape models in motion. In: AHFE 2018: advances in human factors in simulation and modeling (in press)Google Scholar
  12. 12.
    Danckaers F, Huysmans T, Lacko D, Sijbers J (2015) Evaluation of 3D body shape predictions based on features. In: 6th International conference on 3D body scanning technologies, Lugano, Switzerland, pp 258–265Google Scholar
  13. 13.
  14. 14.
    Villar O (2014) Learning blender: a hands on guide to creating 3D animated characters, 2nd edn. Addison Wesley professional, BostonGoogle Scholar
  15. 15.
    Meyer M, Desbrun M, Schröder P, Barr AH (2003) Discrete differential-geometry operators for triangulated 2-manifolds. In: Hege HC, Polthier K (eds) Visualization and mathematics III. Mathematics and visualization. Springer, Berlin, HeidelbergGoogle Scholar
  16. 16.
    Robinette KM, Daanen HAM, Paquet E (1999) The CAESAR project: a 3D surface anthropometry survey. In: Second international conference on 3-D digital imaging and modeling (Cat. No. PR00062), pp 380–386Google Scholar
  17. 17.
    Baran I, Popović J (2007) Automatic rigging and animation of 3D characters. ACM Trans Graph 26(3):72CrossRefGoogle Scholar
  18. 18.
    Scataglini S (2017) Ergonomics of gesture: effect of body posture and load on human performance. Ph.D., Politesi. https://www.politesi.polimi.it/handle/10589/136840

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sofia Scataglini
    • 1
    • 2
  • 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

Personalised recommendations