Validating an Automated Food Image Identification System of a Passive Image-Assisted Dietary Assessment Method

2019 ◽  
Vol 119 (9) ◽  
pp. A24
Author(s):  
T. Chui ◽  
H. Raynor ◽  
J. Tan ◽  
Y. Li
2020 ◽  
Vol 23 (15) ◽  
pp. 2700-2710
Author(s):  
Tsz-Kiu Chui ◽  
Jindong Tan ◽  
Yan Li ◽  
Hollie A. Raynor

AbstractObjective:To validate an automated food image identification system, DietCam, which has not been validated, in identifying foods with different shapes and complexities from passively taken digital images.Design:Participants wore Sony SmartEyeglass that automatically took three images per second, while two meals containing four foods, representing regular- (i.e., cookies) and irregular-shaped (i.e., chips) foods and single (i.e., grapes) and complex (i.e., chicken and rice) foods, were consumed. Non-blurry images from the meals’ first 5 min were coded by human raters and compared with DietCam results. Comparisons produced four outcomes: true positive (rater/DietCam reports yes for food), false positive (rater reports no food; DietCam reports food), true negative (rater/DietCam reports no food) or false negative (rater reports food; DietCam reports no food).Setting:Laboratory meal.Participants:Thirty men and women (25·1 ± 6·6 years, 22·7 ± 1·6 kg/m2, 46·7 % White).Results:Identification accuracy was 81·2 and 79·7 % in meals A and B, respectively (food and non-food images) and 78·7 and 77·5 % in meals A and B, respectively (food images only). For food images only, no effect of food shape or complexity was found. When different types of images, such as 100 % food in the image and on the plate, <100 % food in the image and on the plate and food not on the plate, were analysed separately, images with food on the plate had a slightly higher accuracy.Conclusions:DietCam shows promise in automated food image identification, and DietCam is most accurate when images show food on the plate.


2011 ◽  
Vol 65 (S1) ◽  
pp. S58-S64 ◽  
Author(s):  
L F Andersen ◽  
◽  
S Lioret ◽  
H Brants ◽  
A Kaic-Rak ◽  
...  

2020 ◽  
pp. 1-27 ◽  
Author(s):  
Luisa Saravia ◽  
Maria L. Miguel-Berges ◽  
Iris Iglesia ◽  
Marcus V. Nascimento-Ferreira ◽  
Guillermo Perdomo ◽  
...  

Abstract FFQ are one of the most widely used tools of research into nutritional epidemiology, and many studies have been conducted in several countries using this dietary assessment method. The present study aimed to evaluate the relative validity of FFQ, in comparison with other methods, in assessing dietary intake of children and adolescents, through a systematic review. Four electronic databases (Embase, PubMed, Scopus and Web of Science) found sixty-seven articles, which met the inclusion criteria (healthy children and adolescents from 3 to 18 years of age; journal articles written in English, Spanish and Portuguese between 1988 and March 2019; results showing the comparison between the FFQ with other methods of assessment of dietary intake). The articles were analysed by two independent reviewers. A meta-analysis was conducted using correlation coefficients as estimate effects between the FFQ and the reference standard method. Subgroup analysis and meta-regression were performed to identify the probable source of heterogeneity. In fifty-five of the sixty-seven studies, a single dietary assessment method was used to evaluate the FFQ; nine combined the two methods and three used three reference methods. The most widely used reference method was the 24-h recall, followed by the food record. The overall relative validity of the FFQ to estimate energy, macronutrient, certain micronutrient and certain food item intakes in children and adolescents may be considered weak. The study protocol was registered in PROSPERO under number CRD42016038706.


1990 ◽  
Vol 63 (3) ◽  
pp. 411-417 ◽  
Author(s):  
Renato Borrelli

The relationship between diet and the development of chronic disease still remains a controversial area. One major difficulty is to obtain a valid estimate of habitual pattern and level of food consumption for each individual. There is, in fact, a voluminous and largely negative literature on the validity of dietary assessment methods. In the present paper the utility of the most frequently used dietary assessment method in epidemiological studies is discussed in terms of precision and accuracy.


2003 ◽  
Vol 6 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Janet M Warren ◽  
C Jeya K Henry ◽  
M Barbara E Livingstone ◽  
Helen J Lightowler ◽  
Suzanne M Bradshaw ◽  
...  

AbstractObjective:This study aimed to determine the accuracy with which children aged 5 to 7 years were able to report the food eaten at a school lunch.Subjects/setting:Two hundred and three children (103 boys, 100 girls) aged 5–7 years were recruited from three primary schools in Oxford.Design:Trained investigators made observational records of the school dinner and packed lunch intakes of four or five children per session. Children were interviewed within two hours of finishing the lunchtime meal and asked to provide a free recall of their meal. When the child had completed the recall, non-directive prompts were used to assess if the child was able to remember anything else. Foods recalled were classified as matches (recalled food agreed with observation), omissions (failed to report a food observed) or phantoms (recalled food was not observed).Results:The percentage of accurate recall was significantly higher (P<0.01) in children eating packed lunch (mean 70±29%) than in children consuming school dinners (mean 58±27%). This difference may have been due to increased familiarity of foods in packed lunches. Leftovers were not readily reported in this age group. Prompts and cues enhanced recall by all children.Conclusions:This study indicated that there was a wide range in the ability of children aged 5–7 years to recall intake from a packed lunch and/or school dinner. This dietary assessment method is unlikely to be suitable at an individual level. Investigators using dietary recall to estimate food intake in children aged 5–7 years need to be aware of the limitations of this method.


Nutrients ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 73 ◽  
Author(s):  
Amy Ashman ◽  
Clare Collins ◽  
Leanne Brown ◽  
Kym Rae ◽  
Megan Rollo

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