• DocumentCode
    2385408
  • Title

    Quantification of food intake using food image analysis

  • Author

    Martin, Corby K. ; Kaya, Sertan ; Gunturk, Bahadir K.

  • Author_Institution
    Pennington Biomed. Res. Center, Louisiana State Univ.-Syst., Baton Rouge, LA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6869
  • Lastpage
    6872
  • Abstract
    Measuring free-living peoples´ food intake represents methodological and technical challenges. The Remote Food Photography Method (RFPM) involves participants capturing pictures of their food selection and plate waste and sending these pictures to the research center via a wireless network, where they are analyzed by Registered Dietitians to estimate food intake. Initial tests indicate that the RFPM is reliable and valid, though the efficiency of the method is limited due to the reliance on human raters to estimate food intake. Herein, we describe the development of a semi-automated computer imaging application to estimate food intake based on pictures captured by participants.
  • Keywords
    biomedical optical imaging; medical computing; photography; radio networks; telemedicine; food image analysis; food intake estimation; food selection; remote food photography method; semiautomated computer imaging; wireless network; Computer imaging; Digital photography; Energy intake; Food intake; Remote Food Photography Method (RFPM); Feeding Behavior; Food Preferences; Humans; Image Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333123
  • Filename
    5333123