goFOODTM: An Artificial Intelligence System for Dietary Assessment

• Published in: Sensors (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
• Language: English
• 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

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...