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Title
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Using 3D statistical shape models for designing smart clothing
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Author
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Abstract
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| 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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Language
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English
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Source (book)
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Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. / Bagnara, S. [edit.]
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Source (series)
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Advances in Intelligent Systems and Computing; 822
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Publication
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Cham
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Springer international publishing ag
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2019
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ISSN
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2194-5357
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ISBN
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978-3-319-96076-0
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978-3-319-96076-0
978-3-319-96077-7
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DOI
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10.1007/978-3-319-96077-7_3
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Volume/pages
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822
(2019)
, p. 18-27
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ISI
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000473064000003
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Full text (Publisher's DOI)
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