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研究生:楊炳輝
研究生(外文):Ping-Hui Yang
論文名稱:行動裝置應用在運動耗能即時監控之研究
論文名稱(外文):Real-Time Calculation of Physical Activity by using Mobile Device.
指導教授:洪榮泰
指導教授(外文):Rong-Tai Hong
口試委員:宋文旭倪志成
口試委員(外文):Wen-Hsu SungChih-Chung Ni
口試日期:2013-06-27
學位類別:碩士
校院名稱:中華科技大學
系所名稱:機電光工程研究所在職專班
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:37
中文關鍵詞:能量消耗智慧型手機三維加速度感測器Android
外文關鍵詞:Energy expenditure、Mobile Devices、Android、Three-Axis Accelerometer
相關次數:
  • 被引用被引用:0
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  • 收藏至我的研究室書目清單書目收藏:1
目前,全球行動裝置的使用者已高達80%,其中智慧型手機又占大多數比例,幾乎已達人手一機的狀態,所以智慧型手機儼然已成為人們生活中,不可或缺的一項電子產品。近幾年來,Android行動系統作業平台快速竄起,因其具有開放性、免費性、支援性高…等多重優點,所以它的市占率已超過熱門的iOS作業系統。本文是利用智慧型手機中的三軸加速計(Tri-axis Accelerometer)功能,搭配自行編寫的Android Application(APP)應用程式。來量測人體在走路、跑步時所產生的消耗量。透過熱量消耗公式計算,來了解本身的運動量是否足夠,以達到健康促進之目的。
根據實驗結果,手機至於腰部位置量測出來的值相對於腳部和胸部佳,因為手機內感測器放置的位置會影響感測器加速度分量大小。和其他兩種熱量消耗計算方式相互比較,對一般活動其準確率平均值達73%以上。在取樣頻率方面,感測器取樣頻率的快慢並無太大的差異。使用Normal取樣頻率來測得走路模式的數據,因其佔用手機效能少並較省電。
Today, more than 80 percent of global population owns mobile device users, and smart phone, the most representative mobile device, is particularly ubiquitous in our daily life. Google Android OS and its applications have dominated the smart phone industry owning to its high openness, free royalty and high supportability. In this work, an Android application is developed to calculate user energy expenditure by leveraging the prevalence and functionality of smart phone which utilizes the tri-axis accelerometer (TA). Such application can help to improve health via reminding users of appropriate amount of exercise.
The result is more accurate as TA sensor locating on waist, rather than those on foot and chest. The components of acceleration of TA are changed as the axial of TA are not consistent with the movement directions and it is relatively stable as the TA located on waist while measuring. Compared with other commercialized devices specialized for energy expenditure calculation, this application on smart phone has accuracy close to 73%. Another finding is the insignificance of measurement data under different sampling frequency, which suggests adopting normal detection frequency for walking movement for saving the electrical power of smart phone.
誌謝 i
摘要 ii
ABSTRACT iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章、 緒論 1
1-1 研究背景 1
1-2 研究動機與目的 2
1-3 文獻回顧 3
1-3-1 微機電系統 3
1-3-2 加速感測器的技術應用 3
1-3-3 身體活動量偵測 6
1-3-4 身體活動與能量消耗之研究 7
1-4 論文架構 9
第二章、 實驗設備 10
2-1 硬體介紹 10
2-1-1 手機規格 10
2-1-2 電腦規格 13
2-2 軟體介紹 13
2-2-1 Android 13
2-2-2 Eclipse 14
2-2-3 Java 16
2-2-4 感應器取樣頻率 16
第三章、 實驗模型 18
3-1 理論公式 18
3-2 系統架構 19
3-3 加速度感應器模型 20
3-4 感測器配掛位置 22
3-5 其他熱量消耗計算方式 22
3-6 實驗步驟 23
第四章、 結果與討論 24
4-1 感測器擺放位置與運動消耗量 24
4-2 比較三種模式的運動消耗量 27
4-2-1 走路運動消耗量 27
4-2-2 跑步運動消耗量 29
第五章、 結論與建議 33
參考文獻 34
附錄 37

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