Moving Statistical Body Shape Models Using Blender

Publication Type:

Conference Paper

Authors:

Scataglini, Sofia; Femke Danckaers; Haelterman, Robby; Toon Huysmans; Jan Sijbers

Source:

Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Springer International Publishing, Cham, p.28–38 (2019)

ISBN:

978-3-319-96077-7

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.

Research area: 
Shape Modeling