Publication
Title
Moving statistical body shape models using blender
Author
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.
Language
English
Source (book)
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. / Bagnara, S. [edit.]
Source (series)
Advances in Intelligent Systems and Computing; 822
Publication
Cham : Springer international publishing ag , 2019
ISSN
2194-5357
ISBN
978-3-319-96076-0
978-3-319-96077-7
978-3-319-96076-0
Volume/pages
822 (2019) , p. 28-38
ISI
000473064000004
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Project info
Building an articulating 3D shape model for an improved seating comfort.
SHASIZE: a predictive tool based on statistical shape modeling for accurate clothing size prediction.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 26.10.2018
Last edited 19.10.2021
To cite this reference