An Intelligent Wellness Keeper for Food Nutrition with Graphical Icons
As aging trend and high standard of living in our contemporary society have been proliferating, it is critical for people to sustain healthy life during the whole lifetime. People become more and more interested in wellness health in which they want to in advance prevent illness as well as to care about health before some illness occurs. In this paper, we present a user centered method rather than a medical expert that allows users to monitor some foods in real time by providing quantity of calorie, protein, fat, sodium and so on that the foods contain. A user simply takes an image of a pizza. The algorithm extracts features of the pizza and matches to figure out nutrition of it using SIFT. In addition, a user friendly interface can also be considered by displaying iconic metaphor rather than text oriented information. The matching method can be also extended to a food rendering task if some rendering features for the matched food such as absorption, scattering and reflectance coefficients are provided. We have carried out some experiments with sets of various pizzas to validate the method as well.