English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 51510/86705 (59%)
造訪人次 : 8268502      線上人數 : 88
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78763


    題名: Posture Recognition with G-Sensors on Smart Phones
    作者: Hsu, Hui-huang;Tsai, Kang-chun;Cheng, Zixue;Huang, Tong-jun
    貢獻者: 淡江大學資訊工程學系
    日期: 2012-09-26
    上傳時間: 2012-10-21 23:56:04 (UTC+8)
    摘要: With the popularity of smart phones in recent years, various sensors on smart phones can be utilized to detect the movement or intention of the smart phone users. In this research, we aim at using the signals collected from the G-sensor in the smart phone to recognize the posture of the user. Signals for sit, stand, walk and run are collected to train an offline neural network as the classifier. After the neural network learns the four postures, we then implement a neural network with the learned connection weights in a smart phone app. The app can record the postures of the user for the whole day and estimate the burned calories accordingly. This app can replace the pedometer to have a more accurate estimate of calorie consumption. Details of the app are presented in this paper. The accuracy of neural networks on posture recognition with G-sensor signals is also verified by five-fold cross-validation.
    關聯: Proceedings of the 15th International Conference on Network-Based Information Systems, pp.588-591
    DOI: 10.1109/NBiS.2012.135
    顯示於類別:[資訊工程學系暨研究所] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML217檢視/開啟
    Posture Recognition with G-Sensors on Smart Phones.pdf全文檔667KbAdobe PDF234檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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