An Intelligent Healthy Nutrition System for Eating-out People

Autor: Shyh-wei Chen, 陳仕偉
Rok vydání: 2010
Druh dokumentu: 學位論文 ; thesis
Popis: 98
Various intelligent nutrition systems have been developed for on-diet people, specifically those with kidney and liver problems, diabetes, obesity etc. Unfortunately, very little work has been done for a fast growing eating out population who spend most of their daily meals on breakfast and lunch without caring about what they eat. As a result, a part of this population may eventually fall in the category of on-diet people and create extra cost burden for national health budgets. This project is proposed to address this issue. Two key components which have not been explored in the past are the use of e-mail for data communication and a versatile object-oriented intelligent data base system for menu design in the developed system. The idea of the use of e-mail is new and novel. Since e-mail has become part of people’s daily life, it is the best means for people to communicate themselves and store their daily meal record for their archived data bases. This can be done by wireless communication via cell phones. The e-mail can be triggered by their cell phone identity. Such easy use of e-mail allows people to use cell phones to keep track of what they eat and how much the calorie, protein, fatness, and cholesterol they consume. This information is then e-mailed back to create and update their data bases for menu recommendation. The designed system works automatically by touching screen. The purpose of data base build-up is two-fold. One is to design an object oriented data base based on the past history of ordered meals that can be used to suggest favorite and healthy menu for users. Another is to audit eating-out habits of users and further help to correct their bad habits. Such an entire system coupled with a custom-designed data base provides users with a guide similar to Red-Yellow-Green traffic light pattern where a RED/Yellow/Green represents a Bad/Warning/Good meal-order for the menu selection. When Red and Yellow are highlighted by the system, the users will be asked to make another menu selection either using the system’s provided menu or users’ choice. With such a data base the system can also monitor and dictate users’ eating habits and gradually direct users to healthy eating habits. The product of this proposal will be a pilot system that can further server as a base for other similar systems designed for on-diet people whose diets must be controlled under different medical conditions.
Databáze: Networked Digital Library of Theses & Dissertations