Testing the utility of a data-driven approach for assessing BMI from face images

Wolffhechel, K., Hahn, A. C. , Jarmer, H., Fisher, C. I., Jones, B. C. and Debruine, L. M. (2015) Testing the utility of a data-driven approach for assessing BMI from face images. PLoS ONE, 10(10), e0140347. (doi: 10.1371/journal.pone.0140347) (PMID:26460526) (PMCID:PMC4603950)

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Several lines of evidence suggest that facial cues of adiposity may be important for human social interaction. However, tests for quantifiable cues of body mass index (BMI) in the face have examined only a small number of facial proportions and these proportions were found to have relatively low predictive power. Here we employed a data-driven approach in which statistical models were built using principal components (PCs) derived from objectively defined shape and color characteristics in face images. The predictive power of these models was then compared with models based on previously studied facial proportions (perimeter-to-area ratio, width-to-height ratio, and cheek-to-jaw width). Models based on 2D shape-only PCs, color-only PCs, and 2D shape and color PCs combined each performed significantly and substantially better than models based on one or more of the previously studied facial proportions. A non-linear PC model considering both 2D shape and color PCs was the best predictor of BMI. These results highlight the utility of a “bottom-up”, data-driven approach for assessing BMI from face images.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Hahn, Dr Amanda and DeBruine, Professor Lisa and Jones, Professor Benedict and Fisher, Dr Claire
Authors: Wolffhechel, K., Hahn, A. C., Jarmer, H., Fisher, C. I., Jones, B. C., and Debruine, L. M.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN (Online):1932-6203
Copyright Holders:Copyright © 2015 Wolffhechel et al.
First Published:First published in PLoS ONE 10(10):e0140347
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
629591Preference versus choice: How experimental tests of face preferences relate to actual partner choiceLisa DebruineEconomic & Social Research Council (ESRC)ES/I031022/1RI NEUROSCIENCE & PSYCHOLOGY