Abstract
This paper proposes a software architecture for automatic diet management and recipes analysis. We devise a virtual dietitian that is able: (1) to recover the nutritional information directly from a specific recipe, (2) to reason over recipes and diets with flexibility, i.e. by allowing some forms of diet disobedience, and (3) to persuade the user to minimize these acts of disobedience.
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Mazzei, A. et al. (2015). Mobile Computing and Artificial Intelligence for Diet Management. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds) New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science(), vol 9281. Springer, Cham. https://doi.org/10.1007/978-3-319-23222-5_42
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