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    Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents

    188456_68139_Novel_Technologies_for_Assessing_Dietary_Intake.pdf (980.7Kb)
    Access Status
    Open access
    Authors
    Daugherty, B.
    Schap, T.
    Ettienne-Gittens, R.
    Zhu, F.
    Bosch, M.
    Delp, E.
    Ebert, D.
    Kerr, Deborah
    Boushey, C.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Daugherty, Bethany and Schap, Tusarebecca and Ettienne-Gittens, Reynolette and Zhu, Fengqing and Bosch, Marc and Delp, Edward and Ebert, David and Kerr, Deborah and Boushey, Carol. 2012. Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents. Journal of Medical Internet Research 14 (2):e58.
    Source Title
    Journal of Medical Internet Research
    DOI
    10.2196/jmir.1967
    ISSN
    1438-8871
    Remarks

    Unless stated otherwise, all articles are open-access distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work ("first published in the Journal of Medical Internet Research...") is properly cited with original URL and bibliographic citation information. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

    URI
    http://hdl.handle.net/20.500.11937/20203
    Collection
    • Curtin Research Publications
    Abstract

    The development of a mobile telephone food record has the potential to ameliorate much of the burden associated with current methods of dietary assessment. When using the mobile telephone food record, respondents capture an image of their foods and beverages before and after eating. Methods of image analysis and volume estimation allow for automatic identification and volume estimation of foods. To obtain a suitable image, all foods and beverages and a fiducial marker must be included in the image.

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