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顔写真から肥満度を推定 – Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media

Entry
顔写真から肥満度を推定 – Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
Simple Title
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
Type
Paper
Year
2017
Posted at
March 12, 2017
Tags
Arxiv
https://arxiv.org/abs/1703.03156
image

Overview

このサイトの本すじから少しずれるのだが… 面白かったので掲載. タイトルの通り、顔写真からBMI(ボディー・マス・インデックス – 体重と身長の関係から人の肥満度を示す体格指数)を推定するという研究.

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.

Motivation

通り過ぎる車の車種を判定してそれに合わせた広告を表示するデジタルサイネージが先日話題になったが(関連記事)、こうした技術が広告、マーケティングに用いられることは想像にかたくない. AIと社会のあり方を考える上で興味深い.

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