Moving Statistical Body Shape Models Using Blender

TitleMoving Statistical Body Shape Models Using Blender
Publication TypeConference Paper
Year of Publication2019
AuthorsS. Scataglini, F. Danckaers, R. Haelterman, T. Huysmans, and J. Sijbers
EditorS. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, and Y. Fujita
Conference NameProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)
Pagination28–38
PublisherSpringer International Publishing
Conference LocationCham
ISBN Number978-3-319-96077-7
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.

DOI10.1007/978-3-319-96077-7_4
Conference Address

San Diego

Research area: