Using 3D Statistical Shape Models for Designing Smart Clothing

Sofia Scataglini; Femke  Danckaers; Robby Haelterman; Toon Huysmans; Jan Sijbers; Giuseppe Andreoni

doi:10.1007/978-3-319-96077-7_3

Using 3D Statistical Shape Models for Designing Smart Clothing

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

Applied Ergonomics and Design

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Subtitle of host publication	Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control
Editors	Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita
Place of Publication	Cham
Publisher	Springer
Pages	18-27
Number of pages	10
Volume	V
ISBN (Electronic)	978-3-319-96077-7
ISBN (Print)	978-3-319-96076-0
DOIs	https://doi.org/10.1007/978-3-319-96077-7_3
Publication status	Published - 2019
Event	IEA 2018: 20th Congress of the International Ergonomics Association - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018 Conference number: 20

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	822
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	IEA 2018: 20th Congress of the International Ergonomics Association
Abbreviated title	IEA 2018
Country/Territory	Italy
City	Florence
Period	26/08/18 → 30/08/18

Keywords

Statistical body shape modeling (SBSM)
Anthropometry
Blender
Motion capture
Smart clothing

Access to Document

10.1007/978-3-319-96077-7_3

Cite this

Scataglini, S., Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., & Andreoni, G. (2019). Using 3D Statistical Shape Models for Designing Smart Clothing. In S. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, & Y. Fujita (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control (Vol. V, pp. 18-27). (Advances in Intelligent Systems and Computing; Vol. 822). Springer. https://doi.org/10.1007/978-3-319-96077-7_3

Scataglini, Sofia ; Danckaers, Femke ; Haelterman, Robby et al. / Using 3D Statistical Shape Models for Designing Smart Clothing. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control. editor / Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander ; Yushi Fujita. Vol. V Cham : Springer, 2019. pp. 18-27 (Advances in Intelligent Systems and Computing).

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title = "Using 3D Statistical Shape Models for Designing Smart Clothing",

abstract = "In this paper we present an innovative approach to design smart clothing using statistical body shape modeling (SBSM) from the CAESAR{\texttrademark} 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.",

keywords = "Statistical body shape modeling (SBSM), Anthropometry , Blender , Motion capture , Smart clothing",

author = "Sofia Scataglini and Femke Danckaers and Robby Haelterman and Toon Huysmans and Jan Sijbers and Giuseppe Andreoni",

year = "2019",

doi = "10.1007/978-3-319-96077-7_3",

language = "English",

isbn = "978-3-319-96076-0",

volume = "V",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "18--27",

editor = "Sebastiano Bagnara and Riccardo Tartaglia and Sara Albolino and Thomas Alexander and Yushi Fujita",

booktitle = "Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V",

note = " IEA 2018: 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

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Scataglini, S, Danckaers, F, Haelterman, R, Huysmans, T, Sijbers, J & Andreoni, G 2019, Using 3D Statistical Shape Models for Designing Smart Clothing. in S Bagnara, R Tartaglia, S Albolino, T Alexander & Y Fujita (eds), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control. vol. V, Advances in Intelligent Systems and Computing, vol. 822, Springer, Cham, pp. 18-27, IEA 2018: 20th Congress of the International Ergonomics Association, Florence, Italy, 26/08/18. https://doi.org/10.1007/978-3-319-96077-7_3

Using 3D Statistical Shape Models for Designing Smart Clothing. / Scataglini, Sofia; Danckaers, Femke ; Haelterman, Robby et al.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control. ed. / Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander; Yushi Fujita. Vol. V Cham: Springer, 2019. p. 18-27 (Advances in Intelligent Systems and Computing; Vol. 822).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Sijbers, Jan

AU - Andreoni, Giuseppe

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AB - 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.

KW - Statistical body shape modeling (SBSM)

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Scataglini S, Danckaers F, Haelterman R, Huysmans T, Sijbers J, Andreoni G. Using 3D Statistical Shape Models for Designing Smart Clothing. In Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, editors, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control. Vol. V. Cham: Springer. 2019. p. 18-27. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96077-7_3

Using 3D Statistical Shape Models for Designing Smart Clothing

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