DocumentCode
3063385
Title
Determination of food portion size by image processing
Author
Sun, Mingui ; Liu, Qiang ; Schmidt, Karel ; Yang, Jie ; Yao, Ning ; Fernstrom, John D. ; Fernstrom, Madelyn H. ; DeLany, James P. ; Sclabassi, Robert J.
Author_Institution
School of Medicine, University of Pittsburgh, PA 15260, USA
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
871
Lastpage
874
Abstract
Overweight and obesity have become an epidemic in many parts of the world threatening the health of over one billion people. In order to combat this epidemic effectively, it is desirable to develop new methods to monitor individual´s food intake and provide quantitative information about the nutrients and calories consumed in people´s daily life. We present an electronic photographic approach and associated image processing algorithms to estimate food portion size, which is then utilized to obtain the required information. Our experiments show that our approach is accurate, providing an effective tool for people to track their nutritional and energy intake.
Keywords
Atomic measurements; Calibration; Cellular phones; Digital cameras; Energy measurement; Hydrogen; Image processing; Monitoring; Shape; Water; Algorithms; Artificial Intelligence; Diet; Eating; Feeding Behavior; Food Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649292
Filename
4649292
Link To Document