학술논문

Food Recognition and Nutritional Apps
Document Type
Working Paper
Source
Subject
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Computers and Society
Language
Abstract
Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet. Such apps can monitor food intake as a digital diary and even employ artificial intelligence to assess the diet automatically. Although these apps offer a promising solution for managing diabetes, they are rarely used by patients. This chapter aims to provide an in-depth assessment of the current status of apps for food recognition and nutrition, to identify factors that may inhibit or facilitate their use, while it is accompanied by an outline of relevant research and development.
Comment: This book chapter: Food Recognition and Nutritional Apps is set to appear in the book: "Diabetes Digital Health, Telehealth, and Artificial Intelligence"