Face-to-BMI: Using computer vision to infer body mass index on social media
Name
1703.03156.pdf
Description
Submitted version
Size
386.56 KB
Format
Adobe PDF
Checksum (MD5)
f1715d71754c3126bd28526fd3ce283d
Author(s)
Kocabey, Enes
Camurcu, Mustafa
Offli, Ferda
Aytar, Yusuf
Marin, Javier
Torralba, Antonio
Weber, Ingmar
Date Issued
2017
Journal
Proceedings of the Eleventh International Conference on Web and Social Media
Publisher
Association for the Advancement of Artificial Intelligence Press
Citation
Kocabey, Enes et al. "Face-to-BMI: Using computer vision to infer body mass index on social media." Proceedings of the Eleventh International Conference on Web and Social Media, May 2017, Montreal, Quebec, Canada, Association for the Advancement of Artificial Intelligence Press, 2017 © 2017 Association for the Advancement of Artificial Intelligence Press
Version
Original manuscript
Abstract
A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income. At the societal level, "fat shaming" and other forms of "sizeism" are a growing concern, while increasing obesity rates are linked to ever raising healthcare costs. For these reasons, researchers from a variety of backgrounds are interested in studying obesity from all angles. To obtain data, traditionally, a person would have to accurately self-report their body-mass index (BMI) or would have to see a doctor to have it measured. In this paper, we show how computer vision can be used to infer a person's BMI from social media images. We hope that our tool, which we release, helps to advance the study of social aspects related to body weight.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://aaai.org/Library/ICWSM/icwsm17contents.php
