English  |  正體中文  |  简体中文  |  Items with full text/Total items : 50122/85141 (59%)
Visitors : 7886740      Online Users : 88
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78762


    Title: A Health Management Application with QR-Code Input and Rule Inference
    Authors: Hsu, Hui-huang;Chang, Min-ho;Yen, Neil Y.
    Contributors: 淡江大學資訊工程學系
    Keywords: QR-Code;Health Management;Expert Systems;Smart Phone Apps;iPhone
    Date: 2012-08-14
    Issue Date: 2012-10-21 23:53:06 (UTC+8)
    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.
    Relation: Information Security and Intelligence Control (ISIC), 2012 International Conference on, pp.119-122
    DOI: 10.1109/ISIC.2012.6449722
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    isic2012_0814-16.pdf344KbAdobe PDF3View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback