The variation in 3D face shapes of dutch children for mask design

Journal Article (2021)
Author(s)

L Goto (TU Delft - Human Factors)

Wonsup Lee (Handong Global University)

Toon Huysmans (TU Delft - Human Factors)

Johan F. M. Molenbroek (TU Delft - Human Factors)

Richard Goossens (TU Delft - Human Factors)

Research Group
Human Factors
Copyright
© 2021 L. Goto, Wonsup Lee, T. Huysmans, J.F.M. Molenbroek, R.H.M. Goossens
DOI related publication
https://doi.org/10.3390/app11156843
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 L. Goto, Wonsup Lee, T. Huysmans, J.F.M. Molenbroek, R.H.M. Goossens
Research Group
Human Factors
Issue number
15
Volume number
11
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Abstract

The use of 3D anthropometric data of children’s heads and faces has great potential in the development of protective gear and medical products that need to provide a close fit in order to function well. Given the lack of detailed data of this kind, the aim of this study is to map the size and shape variation of Dutch children’s heads and faces and investigate possible implications for the design of a ventilation mask. In this study, a dataset of heads and faces of 303 Dutch children aged six months to seven years consisting of traditional measurements and 3D scans were analysed. A principal component analysis (PCA) of facial measurements was performed to map the variation of the children’s face shapes. The first principal component describes the overall size, whilst the second principal component captures the more width related variation of the face. After establishing a homology between the 3D scanned face shapes, a second principal component analysis was done on the point coordinates, revealing the most prominent variations in 3D shape within the sample.