体质指数
面子(社会学概念)
肥胖
计算机科学
索引(排版)
残余物
2019年冠状病毒病(COVID-19)
人工智能
医学
疾病
算法
社会学
病理
传染病(医学专业)
万维网
内科学
社会科学
标识
DOI:10.1109/gcwkshps52748.2021.9682060
摘要
Nowadays, under the influence of the COVID 19 epidemic, risks of obesity are increasing. Body mass index (BMI) is a good measure of obesity and studies have proved that face is affected by BMI. If we could find a model to predict BMI by human face, it will reduce the time costs and the infection risk of the hospital. However, the number of relevant studies is limited. There are predictive models for BMI but not relevant models for Asian faces. In this paper, collected relevant studies were analyzed and classified based on research objectives and research methods, according to the classification, a face prediction BMI model which uses residual network and Asian face datasets was recommended. In the end, we summarize all the researches and list the directions not researched and innovative places.
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