Publication
Title
Using 3D statistical shape models for designing smart clothing
Author
Abstract
In this paper we present an innovative approach to design smart clothing using statistical body shape modeling (SBSM) from the CAESAR dataset. A combination of different digital technologies and applications are used to create a common co-design workflow for garment design. User and apparel product design and developers can get personalized prediction of cloth sizing, fitting and aesthetics.
In this paper we present an innovative approach to design smart clothing using statistical body shape modeling (SBSM) from the CAESAR (TM) dataset. A combination of different digital technologies and applications are used to create a common co-design workflow for garment design. User and apparel product design and developers can get personalized prediction of cloth sizing, fitting and aesthetics.
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
978-3-319-96076-0
978-3-319-96077-7
Volume/pages
822 (2019) , p. 18-27
ISI
000473064000003
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Project info
Building an articulating 3D shape model for an improved seating comfort.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 26.10.2018
Last edited 06.09.2021
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