DocumentCode :
593188
Title :
A health management application with QR-Code input and rule inference
Author :
Hui-Huang Hsu ; Min-Ho Chang ; Yen, Neil Y.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui, Taiwan
fYear :
2012
fDate :
14-16 Aug. 2012
Firstpage :
119
Lastpage :
122
Abstract :
Mobile phone is an indispensable tool in modern life. Each person can have more than one mobile phones, or even smart phones. Apple iPhone, leading the trend of smart phone applications, has brought many previously unthinkable possibilities in recent years. We have developed a health management application (app) run on iPhone. It uses the QR-Code to input calorie and nutrition information of food, snacks and drinks. This is a novel way to record what the user eats/drinks. A set of diet rules is also built within the app. With these data, the app can provide diet recommendations to the user following the rules. We aim to utilize the ease-of-use of the smart phone to achieve personal health management anytime, anywhere.
Keywords :
data analysis; health care; human computer interaction; inference mechanisms; mobile computing; smart phones; 2D bar code; Apple iPhone; QR-code input; calorie data analysis; calorie information; diet recommendations; diet rules; health management application; mobile phones; nutrition data analysis; nutrition information; rule inference; smart phones; Databases; Diseases; Educational institutions; Expert systems; History; Smart phones; Expert Systems; Health Managment; QR-Code; Smart Phone Apps; iPhone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location :
Yunlin
Print_ISBN :
978-1-4673-2587-5
Type :
conf
DOI :
10.1109/ISIC.2012.6449722
Filename :
6449722
Link To Document :
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