Using 3D statistical shape models for designing smart clothing

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

University of Antwerp
Delft University of Technology
Politecnico di Milano

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

5 Zitate (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.

Originalsprache	Englisch
Titel	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Untertitel	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
Redakteure/-innen	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Herausgeber (Verlag)	Springer
Seiten	18-27
Seitenumfang	10
ISBN (Print)	9783319960760
DOIs	https://doi.org/10.1007/978-3-319-96077-7_3
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italien Dauer: 26 Aug. 2018 → 30 Aug. 2018

Publikationsreihe

Name	Advances in Intelligent Systems and Computing
Band	822
ISSN (Print)	2194-5357

Konferenz

Konferenz	20th Congress of the International Ergonomics Association, IEA 2018
Land/Gebiet	Italien
Ort	Florence
Zeitraum	26/08/18 → 30/08/18

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

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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 Y. Fujita, S. Bagnara, R. Tartaglia, S. Albolino, & T. Alexander (Hrsg.), 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 (S. 18-27). (Advances in Intelligent Systems and Computing; Band 822). Springer. https://doi.org/10.1007/978-3-319-96077-7_3

Scataglini, Sofia ; Danckaers, Femke ; Haelterman, Rob 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. Hrsg. / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. S. 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 = "Anthropometry, Blender, Motion capture, Smart clothing, Statistical body shape modeling (SBSM)",

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

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2019",

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

language = "English",

isbn = "9783319960760",

series = "Advances in Intelligent Systems and Computing",

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

}

Scataglini, S, Danckaers, F, Haelterman, R, Huysmans, T, Sijbers, J & Andreoni, G 2019, Using 3D statistical shape models for designing smart clothing. in Y Fujita, S Bagnara, R Tartaglia, S Albolino & T Alexander (Hrsg.), 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. Advances in Intelligent Systems and Computing, Bd. 822, Springer, S. 18-27, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italien, 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, Rob 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. Hrsg. / Yushi Fujita; Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer, 2019. S. 18-27 (Advances in Intelligent Systems and Computing; Band 822).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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T1 - Using 3D statistical shape models for designing smart clothing

AU - Scataglini, Sofia

AU - Danckaers, Femke

AU - Haelterman, Rob

AU - Huysmans, Toon

AU - Sijbers, Jan

AU - Andreoni, Giuseppe

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - 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.

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 - Anthropometry

KW - Blender

KW - Motion capture

KW - Smart clothing

KW - Statistical body shape modeling (SBSM)

UR - https://www.scopus.com/pages/publications/85052149293

U2 - 10.1007/978-3-319-96077-7_3

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A2 - Bagnara, Sebastiano

A2 - Tartaglia, Riccardo

A2 - Albolino, Sara

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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 Fujita Y, Bagnara S, Tartaglia R, Albolino S, Alexander T, Hrsg., 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. Springer. 2019. S. 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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