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
Inglese
contributo
4 - Workshop
1st International Workshop on Multimedia Assisted Dietary Management
Genoa, Italy
September 7-8, 2015
Internazionale
Vittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
Esperti anonimi
Springer International Publishing
Cham
SVIZZERA
9281
342
349
8
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
no
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
7
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
Mazzei, Alessandro; Anselma, Luca; De Michieli, Franco; Bolioli, Andrea; Casu, Matteo; Gerbrandy, Jelle; Lunardi, Ivan
273
open
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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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