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.

Mobile Computing and Artificial Intelligence for Diet Management

MAZZEI, Alessandro;ANSELMA, LUCA;DE MICHIELI, Franco;GERBRANDY, JELLE DOUNE;
2015-01-01

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.
2015
1st International Workshop on Multimedia Assisted Dietary Management
Genoa, Italy
September 7-8, 2015
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Springer International Publishing
9281
342
349
978-3-319-23221-8
978-3-319-23222-5
978-3-319-23222-5
978-3-319-23221-8
http://link.springer.com/chapter/10.1007%2F978-3-319-23222-5_42
Automatic reasoning, Artificial Intelligence, Computer Science, Diet management, Natural language generation
Mazzei, Alessandro; Anselma, Luca; De Michieli, Franco; Bolioli, Andrea; Casu, Matteo; Gerbrandy, Jelle; Lunardi, Ivan
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1526075
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