Advancement in Dietary Assessment and Self-Monitoring Using Technology

Although methods to assess or self-monitor intake may be considered similar, the intended function of each is quite distinct. For the assessment of dietary intake, methods aim to measure food and nutrient intake and/or to derive dietary patterns for determining diet-disease relationships, population...

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Bibliographic Details
Other Authors:	Burrows, Tracy (Editor), Rollo, Megan (Editor)
Format:	Electronic Book Chapter
Language:	English
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	Research & information: general Biology, life sciences children dietary assessment nutrients carbohydrate counting protein and fat counting calorie counting automatic bolus calculator voice description of meals insulin dosage glycemic control diabetes mellitus nutrition food measurement nutrient database energy intake validity reliability food frequency questionnaire web under-reporting over-reporting mobile applications adults nutritional science qualitative research mobile food record 24-h recall developmental disabilities spina bifida down syndrome technology pediatrics image-assisted method infant food record doubly labeled water nutritional application smartphone DGA dietary behaviors household food purchase behavior obesity overweight weight control mobile technologies Web-based technologies usability human factors Automated Self-Administered Dietary Assessment Tool (ASA24) 24-h dietary recall low socioeconomic status diet assessment food log recall diet apps recipe calculations nutrient retention dietary intake assessment technological innovations Type 2 diabetes mellitus diabetes management dietary application physical activity blood glucose mHealth sugar intakes dietary record East Asians chewing detection AIM neural networks food intake detection video annotation sensor validation diet assessment relative validity young adults apps mobile app fruits vegetables self-monitoring healthy diet shared plate eating lower middle income countries food energy estimation generative models generative adversarial networks image-to-energy mapping regressions eating activity detection hand-to-mouth movement wrist-mounted motion tracking sensor accelerometer gyroscope text messages type 2 diabetes diabetes self-care activities cardiovascular disease risk awareness food availability food choices n/a
Online Access:	DOAB: download the publication DOAB: description of the publication
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