Moving Statistical Body Shape Models Using Blender

Conference paper (2019)

Authors

Sofia Scataglini Military Hospital Queen Astrid, Royal Military Academy
Femke Danckaers Universiteit Antwerpen
Robby Haelterman Royal Military Academy
T. Huysmans Applied Ergonomics and Design - IDE
Jan Sijbers Universiteit Antwerpen
Research Group
Applied Ergonomics and Design (IDE) (TU Delft)
Blender Motion capture Digital human modeling Statistical body shape modeling
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Published Date

2019

Language

English

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Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Applied Ergonomics and Design

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.