title: New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.
abstract: For nutrition practitioners and researchers, assessing dietary intake of children and adults with a high level of accuracy continues to be a challenge. Developments in mobile technologies have created a role for images in the assessment of dietary intake. The objective of this review was to examine peer-reviewed published papers covering development, evaluation and/or validation of image-assisted or image-based dietary assessment methods from December 2013 to January 2016. Images taken with handheld devices or wearable cameras have been used to assist traditional dietary assessment methods for portion size estimations made by dietitians (image-assisted methods). Image-assisted approaches can supplement either dietary records or 24-h dietary recalls. In recent years, image-based approaches integrating application technology for mobile devices have been developed (image-based methods). Image-based approaches aim at capturing all eating occasions by images as the primary record of dietary intake, and therefore follow the methodology of food records. The present paper reviews several image-assisted and image-based methods, their benefits and challenges; followed by details on an image-based mobile food record. Mobile technology offers a wide range of feasible options for dietary assessment, which are easier to incorporate into daily routines. The presented studies illustrate that image-assisted methods can improve the accuracy of conventional dietary assessment methods by adding eating occasion detail via pictures captured by an individual (dynamic images). All of the studies reduced underreporting with the help of images compared with results with traditional assessment methods. Studies with larger sample sizes are needed to better delineate attributes with regards to age of user, degree of error and cost.
authors.affiliation: Epidemology Program,University of Hawaii Cancer Center,Honolulu, HI,USA.
authors.forename: C J
authors.identifier: 0000-0001-7517-787X
authors.initials: CJ
authors.lastname: Boushey
authors.affiliation: Epidemology Program,University of Hawaii Cancer Center,Honolulu, HI,USA.
authors.forename: M
authors.initials: M
authors.lastname: Spoden
authors.affiliation: School of Electrical and Computer Engineering, Purdue University,West Lafayette, IN,USA.
authors.forename: F M
authors.initials: FM
authors.lastname: Zhu
authors.affiliation: School of Electrical and Computer Engineering, Purdue University,West Lafayette, IN,USA.
authors.forename: E J
authors.initials: EJ
authors.lastname: Delp
authors.affiliation: School of Public Health,Curtin University,Perth, WA,Australia.
authors.forename: D A
authors.initials: DA
authors.lastname: Kerr
mesh_terms: D000328:Adult; D035843:Biomedical Research / Q000379:methods / Q000639:trends; D040421:Cell Phone; D002648:Child; D002664:Child Nutritional Physiological Phenomena; D034201:Computers, Handheld; D003226:Congresses as Topic; D004032:Diet / Q000009:adverse effects*; D015930:Diet Records; D004046:Dietetics / Q000379:methods / Q000639:trends; D006801:Humans; D020407:Internet; D063731:Mobile Applications; D015596:Nutrition Assessment; D052756:Nutritional Sciences / Q000379:methods / Q000639:trends; D010781:Photography / Q000295:instrumentation / Q000639:trends; D064787:Portion Size; D012958:Societies, Scientific; D014741:Video Recording / Q000295:instrumentation / Q000639:trends
keywords:  DLW doubly labelled water;  EDNP energy dense nutrient poor foods;  NuDAM Nutricam Dietary Assessment Method;  TEE total energy expenditure;  WFR weighed dietary record;  mFR mobile food record; Image-assisted dietary assessment; Image-based dietary assessment; Mobile technology