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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 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	Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
Publisher	Springer
Pages	18-27
Number of pages	10
ISBN (Print)	9783319960760
DOIs	https://doi.org/10.1007/978-3-319-96077-7_3
Publication status	Published - 2019
Event	20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018

Publication series

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

Conference

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

Keywords

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

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 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 (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, 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. editor / Yushi Fujita ; Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer, 2019. pp. 18-27 (Advances in Intelligent Systems and Computing).

@inproceedings{2aa8bee027124aa88c696372f9d14617,

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",

publisher = "Springer",

pages = "18--27",

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

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 (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, pp. 18-27, 20th Congress of the International Ergonomics Association, IEA 2018, 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, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

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

M3 - Conference contribution

AN - SCOPUS:85052149293

SN - 9783319960760

T3 - Advances in Intelligent Systems and Computing

SP - 18

EP - 27

BT - Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume V

A2 - Fujita, Yushi

A2 - Bagnara, Sebastiano

A2 - Tartaglia, Riccardo

A2 - Albolino, Sara

A2 - Alexander, Thomas

PB - Springer

T2 - 20th Congress of the International Ergonomics Association, IEA 2018

Y2 - 26 August 2018 through 30 August 2018

ER -

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, 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. 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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this