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Journal of Biomedicine and Biotechnology
Volume 2012 (2012), Article ID 834578, 9 pages
Research Article

A Classification Method of Normal and Overweight Females Based on Facial Features for Automated Medical Applications

Division of Constitutional Medicine Research, Korea Institute of Oriental Medicine, Deajeon 305-811, Republic of Korea

Received 22 May 2012; Accepted 30 May 2012

Academic Editor: Sabah Mohammed

Copyright © 2012 Bum Ju Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Obesity and overweight have become serious public health problems worldwide. Obesity and abdominal obesity are associated with type 2 diabetes, cardiovascular diseases, and metabolic syndrome. In this paper, we first suggest a method of predicting normal and overweight females according to body mass index (BMI) based on facial features. A total of 688 subjects participated in this study. We obtained the area under the ROC curve (AUC) value of 0.861 and kappa value of 0.521 in Female: 21–40 (females aged 21–40 years) group, and AUC value of 0.76 and kappa value of 0.401 in Female: 41–60 (females aged 41–60 years) group. In two groups, we found many features showing statistical differences between normal and overweight subjects by using an independent two-sample t-test. We demonstrated that it is possible to predict BMI status using facial characteristics. Our results provide useful information for studies of obesity and facial characteristics, and may provide useful clues in the development of applications for alternative diagnosis of obesity in remote healthcare.