English  |  正體中文  |  简体中文  |  Items with full text/Total items : 63993/96712 (66%)
Visitors : 3603809      Online Users : 238
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/74552


    Title: 在智慧型手機上應用重力感測器進行人體動作分析
    Other Titles: Applying g-sensor for body movement analysis on smartphone
    Authors: 林顗德;Lin, Yi-Teh
    Contributors: 淡江大學資訊工程學系資訊網路與通訊碩士班
    陳瑞發;Chen, Jui-Fa
    Keywords: 重力感測器;智慧型手機;拉邦動作分析;G-sensor;Smartphone;Laban Movement Analysis
    Date: 2011
    Issue Date: 2011-12-28 18:51:10 (UTC+8)
    Abstract: 近年來智慧型手機使用量的大幅成長,重力感測器已經成為智慧型手機的標準配備,並且可以應用在體感動作偵測,提供使用者一個新的與介面溝通的方式。但是目前常見使用到重力感測器的系統,為了實做方便,通常限制了使用者持握手機的方向。
    本論文提出一種在不限制使用者持握手機的條件下,利用手機上的重力感測器偵測人體的動作的方式。本論文並且應用拉邦動作分析來針對使用者的動作進行判斷與分類。
    In recent years, due to the growth of the Smartphone users, the G-sensor has already become the standard equipment on Smartphone. Besides, G-sensor can be applied to the body motion sensing and provide new communicating interface for users. However, for easy implementation of gravity sensing system, the application would usually restrict users the way of holding Smartphone.
    In this thesis, we propose a method that can analyze the body motion without restricting the way users hold their phones by the G-sensor of the Smartphone. In this thesis, we analyze and classify the motions of users with LMA.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

    Files in This Item:

    File SizeFormat
    index.html0KbHTML268View/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