A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis

Lyè Goto; Toon Huysmans; Wonsup Lee; Johan F. M. Molenbroek; Richard Goossens

doi:10.1007/978-3-319-96071-5_137

A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis

Lyè Goto, Toon Huysmans, Wonsup Lee, Johan F. M. Molenbroek, Richard Goossens

Applied Ergonomics and Design

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

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Abstract

In Ergonomic product design, designers need to translate anthropometric data of the target population into product dimensions or sizing systems. Currently, sizing systems are often based on traditional anthropometric data and generally use the variation of one or two key body dimensions directly related to the product. For products that need to closely fit a certain part of the body it is relevant to incorporate multiple key dimensions. This can be realized by a multivariate approach such as a Principal Component Analysis. Over the past decades, there has been an increase in incorporating 3D imaging in anthropometric surveys. In order to integrate the use of 3D anthropometry in product sizing, representative models are used to visualize the variability of the target population. For the development of a ventilation mask for children, this study compares representative models of 3D faces based on a bivariate, multivariate and shape based analysis of 303 children's faces.

Original language	English
Title of host publication	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII
Subtitle of host publication	Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design
Editors	Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita
Place of Publication	Cham
Publisher	Springer
Pages	1355-1364
Number of pages	10
Volume	VII
ISBN (Electronic)	978-3-319-96071-5
ISBN (Print)	978-3-319-96070-8
DOIs	https://doi.org/10.1007/978-3-319-96071-5_137
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	824
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

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

3D anthropometry
Children
Design
Product sizing
Ventilation mask

Access to Document

10.1007/978-3-319-96071-5_137

Goto2019_Chapter_AComparisonBetweenRepresentatiFinal published version, 1.25 MB

Cite this

Goto, L., Huysmans, T., Lee, W., Molenbroek, J. F. M., & Goossens, R. (2019). A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis. 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 VII: Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design (Vol. VII, pp. 1355-1364). (Advances in Intelligent Systems and Computing; Vol. 824). Springer. https://doi.org/10.1007/978-3-319-96071-5_137

Goto, Lyè ; Huysmans, Toon ; Lee, Wonsup et al. / A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII: Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design. editor / Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander ; Yushi Fujita. Vol. VII Cham : Springer, 2019. pp. 1355-1364 (Advances in Intelligent Systems and Computing).

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title = "A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis",

abstract = "In Ergonomic product design, designers need to translate anthropometric data of the target population into product dimensions or sizing systems. Currently, sizing systems are often based on traditional anthropometric data and generally use the variation of one or two key body dimensions directly related to the product. For products that need to closely fit a certain part of the body it is relevant to incorporate multiple key dimensions. This can be realized by a multivariate approach such as a Principal Component Analysis. Over the past decades, there has been an increase in incorporating 3D imaging in anthropometric surveys. In order to integrate the use of 3D anthropometry in product sizing, representative models are used to visualize the variability of the target population. For the development of a ventilation mask for children, this study compares representative models of 3D faces based on a bivariate, multivariate and shape based analysis of 303 children's faces.",

keywords = "3D anthropometry, Children, Design, Product sizing, Ventilation mask",

author = "Ly{\`e} Goto and Toon Huysmans and Wonsup Lee and Molenbroek, {Johan F. M.} and Richard Goossens",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; IEA 2018: 20th Congress of the International Ergonomics Association, IEA 2018 ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2019",

doi = "10.1007/978-3-319-96071-5_137",

language = "English",

isbn = "978-3-319-96070-8",

volume = "VII",

series = "Advances in Intelligent Systems and Computing",

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Goto, L , Huysmans, T, Lee, W, Molenbroek, JFM & Goossens, R 2019, A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis. 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 VII: Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design. vol. VII, Advances in Intelligent Systems and Computing, vol. 824, Springer, Cham, pp. 1355-1364, IEA 2018: 20th Congress of the International Ergonomics Association, Florence, Italy, 26/08/18. https://doi.org/10.1007/978-3-319-96071-5_137

A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis. / Goto, Lyè ; Huysmans, Toon; Lee, Wonsup et al.
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII: Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design. ed. / Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander; Yushi Fujita. Vol. VII Cham: Springer, 2019. p. 1355-1364 (Advances in Intelligent Systems and Computing; Vol. 824).

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

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AU - Goossens, Richard

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AB - In Ergonomic product design, designers need to translate anthropometric data of the target population into product dimensions or sizing systems. Currently, sizing systems are often based on traditional anthropometric data and generally use the variation of one or two key body dimensions directly related to the product. For products that need to closely fit a certain part of the body it is relevant to incorporate multiple key dimensions. This can be realized by a multivariate approach such as a Principal Component Analysis. Over the past decades, there has been an increase in incorporating 3D imaging in anthropometric surveys. In order to integrate the use of 3D anthropometry in product sizing, representative models are used to visualize the variability of the target population. For the development of a ventilation mask for children, this study compares representative models of 3D faces based on a bivariate, multivariate and shape based analysis of 303 children's faces.

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T3 - Advances in Intelligent Systems and Computing

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

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Goto L , Huysmans T, Lee W, Molenbroek JFM , Goossens R. A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis. 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 VII: Ergonomics in Design, Design for All, Activity Theories for Work Analysis and Design, Affective Design. Vol. VII. Cham: Springer. 2019. p. 1355-1364. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96071-5_137

A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis

Abstract

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Bibliographical note

Keywords

Access to Document

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