I2N: image to nutrients, a sensor guided semi-automated tool for annotation of images for nutrition analysis of eating episodes

I2N: image to nutrients, a sensor guided semi-automated tool for annotation of images for nutrition analysis of eating episodes

IntroductionDietary assessment is important for understanding nutritional status. Traditional methods of monitoring food intake through self-report such as diet diaries, 24-hour dietary recall, and food frequency questionnaires may be subject to errors and can be time-consuming for the user.MethodsT...

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Bibliographic Details
Main Authors: Tonmoy Ghosh, Megan A. McCrory, Tyson Marden, Janine Higgins, Alex Kojo Anderson, Christabel Ampong Domfe, Wenyan Jia, Benny Lo, Gary Frost, Matilda Steiner-Asiedu, Tom Baranowski, Mingui Sun, Edward Sazonov
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Nutrition
Subjects:
food intake
image annotation
image to nutrients
software
wearable sensor
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2023.1191962/full

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https://www.frontiersin.org/articles/10.3389/fnut.2023.1191962/full

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