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Accommodation Assessments for Vehicle Occupants Using Augmented Reality Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Using 3D Statistical Shape Models for Designing Smart Clothing

Authors : Sofia Scataglini, Femke Danckaers, Robby Haelterman, Toon Huysmans, Jan Sijbers, Giuseppe Andreoni

Published in: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)

Publisher: Springer International Publishing

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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.

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Metadata
Title
Using 3D Statistical Shape Models for Designing Smart Clothing
Authors
Sofia Scataglini
Femke Danckaers
Robby Haelterman
Toon Huysmans
Jan Sijbers
Giuseppe Andreoni
Copyright Year
2019
Book
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)

Print ISBN: 978-3-319-96076-0

Electronic ISBN: 978-3-319-96077-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-96077-7_3

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