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A Classification Method of Normal and Overweight Females Based on Facial Features for Automated Medical Applications
Joint Authors
Lee, Bum Ju
Kim, Jong Yeol
Do, Jun-Hyeong
Source
Journal of Biomedicine and Biotechnology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lee, Bum Ju& Do, Jun-Hyeong& Kim, Jong Yeol. 2012. A Classification Method of Normal and Overweight Females Based on Facial Features for Automated Medical Applications. Journal of Biomedicine and Biotechnology،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-501849
Modern Language Association (MLA)
Lee, Bum Ju…[et al.]. A Classification Method of Normal and Overweight Females Based on Facial Features for Automated Medical Applications. Journal of Biomedicine and Biotechnology No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-501849
American Medical Association (AMA)
Lee, Bum Ju& Do, Jun-Hyeong& Kim, Jong Yeol. A Classification Method of Normal and Overweight Females Based on Facial Features for Automated Medical Applications. Journal of Biomedicine and Biotechnology. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-501849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501849