Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media.

ICWSM(2017)

引用 75|浏览157
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摘要
A personu0027s 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 personu0027s 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.
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