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A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques
2019
IEEE Access
There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content can be very handy and improve the dietary habits and, therefore, result in a healthy life. This paper proposes a novel system to automatically estimate food attributes such as ingredients and nutritional value by classifying the input image of food. Our method
doi:10.1109/access.2018.2879117
fatcat:p6reb6tryzhvzg2lvc5qb54efu