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

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

5 Citations (Scopus)

Résumé

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.

langue originale	Anglais
titre	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V
Sous-titre	Human Simulation and Virtual Environments, Work With Computing Systems WWCS, Process Control
rédacteurs en chef	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Editeur	Springer
Pages	18-27
Nombre de pages	10
ISBN (imprimé)	9783319960760
Les DOIs	https://doi.org/10.1007/978-3-319-96077-7_3
état	Publié - 2019
Evénement	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italie Durée: 26 août 2018 → 30 août 2018

Série de publications

Nom	Advances in Intelligent Systems and Computing
Volume	822
ISSN (imprimé)	2194-5357

Une conférence

Une conférence	20th Congress of the International Ergonomics Association, IEA 2018
Pays/Territoire	Italie
La ville	Florence
période	26/08/18 → 30/08/18

Accès au document

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

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Contient cette citation

Scataglini, S., Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., & Andreoni, G. (2019). Using 3D statistical shape models for designing smart clothing. Dans Y. Fujita, S. Bagnara, R. Tartaglia, S. Albolino, & T. Alexander (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 (p. 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, 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. Editeur / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. p. 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",

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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. Dans Y Fujita, S Bagnara, R Tartaglia, S Albolino & T Alexander (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. Advances in Intelligent Systems and Computing, VOL. 822, Springer, p. 18-27, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italie, 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. Ed. / Yushi Fujita; Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer, 2019. p. 18-27 (Advances in Intelligent Systems and Computing; Vol 822).

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

TY - GEN

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

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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)

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A2 - Tartaglia, Riccardo

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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. Dans Fujita Y, Bagnara S, Tartaglia R, Albolino S, Alexander T, rédacteurs en chef, 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. 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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