Using 3D Statistical Shape Models for Designing Smart Clothing

TitleUsing 3D Statistical Shape Models for Designing Smart Clothing
Publication TypeConference Paper
Year of Publication2019
AuthorsS. Scataglini, F. Danckaers, R. Haelterman, T. Huysmans, J. Sijbers, and G. Andreoni
EditorS. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, and Y. Fujita
Conference NameProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)
Pagination18–27
PublisherSpringer International Publishing
Conference LocationCham
ISBN Number978-3-319-96077-7
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.

DOI10.1007/978-3-319-96077-7_3
Research area: