• 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