goFOODTM: An Artificial Intelligence System for Dietary Assessment

Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The system can estimate the calorie and macronutrient content of a meal, on the sole basis of food im...

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Published inSensors (Basel, Switzerland) Vol. 20; no. 15; p. 4283
Main Authors Lu, Ya, Stathopoulou, Thomai, Vasiloglou, Maria F., Pinault, Lillian F., Kiley, Colleen, Spanakis, Elias K., Mougiakakou, Stavroula
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 31.07.2020
MDPI
Subjects
Algorithms
Artificial intelligence
calorie
Calories
Cameras
carbohydrate
computer vision
Diabetes
Diet
Dietitians
Estimates
Fast food
fat
Meals
nutrient estimation
Nutrition research
protein
Smartphones
United States > US
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Summary:Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The system can estimate the calorie and macronutrient content of a meal, on the sole basis of food images captured by a smartphone. goFOODTM requires an input of two meal images or a short video. For conventional single-camera smartphones, the images must be captured from two different viewing angles; smartphones equipped with two rear cameras require only a single press of the shutter button. The deep neural networks are used to process the two images and implements food detection, segmentation and recognition, while a 3D reconstruction algorithm estimates the food’s volume. Each meal’s calorie and macronutrient content is calculated from the food category, volume and the nutrient database. goFOODTM supports 319 fine-grained food categories, and has been validated on two multimedia databases that contain non-standardized and fast food meals. The experimental results demonstrate that goFOODTM performed better than experienced dietitians on the non-standardized meal database, and was comparable to them on the fast food database. goFOODTM provides a simple and efficient solution to the end-user for dietary assessment.
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These authors contributed equally to this work.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20154283