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研究生:羅瑋翔
研究生(外文):Wei-Hsiang Lo
論文名稱:設計智慧型手機系統實現起身-行走測試
論文名稱(外文):The Implementation of Timed Up-and-Go Test on a Smartphone System
指導教授:劉宏煥
指導教授(外文):Hung-Huan Liu
學位類別:碩士
校院名稱:中原大學
系所名稱:電子工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:68
中文關鍵詞:三軸加速度;步伐偵測;起身-行走測試
外文關鍵詞:3-Axis Acceleration;Timed Up-and-Go Test;Step Count
相關次數:
  • 被引用被引用:0
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近幾年世界各國社會人口趨向老年化,尤其台灣生育率偏低,人口老化日益嚴重,因此老年人的健康評估開始慢慢受到重視,其中有一項評估稱為「起身-行走測試」(Timed Up-and-Go Test)評估系統,用來評估老年人的行走能力。我們希望實作一套系統取代過往人工施測,而我們利用三軸加速度(Three-Axis Acceleration)當作辨識人體行為活動的主要依據。而至今智慧型手機上的感測器可以說是應有盡有,例如:重力感測器、三軸加速度器、陀螺儀…等等,且都有一定的準確度,因此我們選擇透過智慧型手機來實現,在測試場地上不需額外架設任何器材。本系統分為監控端(Control Device)與感測端(Sensor Device),受測者配戴感測端進行量測,醫護人員可以透過監控端監看受測者的即時數據,如步伐數、量測時間。最後對於我們實作的系統進行測試評估,由於Timed Up-and-Go Test裡的動作較為簡易主要只分為靜坐與行走,只要不刻意做出跳躍的動作,系統區別靜坐與行走的能力有ㄧ定的可靠度,步伐數判定透過系統的參數調整也有ㄧ定的準度,但是要用於正式準確的計算還是需要其他的演算法來輔助修正。

In recent years, elder population grows consistently in the world. In particular, Taiwan’s elder population grows faster than the others of the world because of the very low birth rate. Taiwan has been become an aged society and then the geriatric care become important issues in Taiwan. One important test about the geriatric care is called Timed Up and Go Test. It is recommended as a screening tool for fall risk in elder people. In traditional, occupational therapist uses stopwatch to achieve this test. In this thesis, we want to implement a system to do the Timed Up-and-Go Test automatically. Smart phone is a good choice, because it equipped many sensors like triaxial accelerometer and gyroscope and wireless telecommunications like WiFi and Bluetooth. Another advantage to use mobile phone is that when doing field test it doesn’t need to deploy any else device. We analyzed human motion depends on Three-Axis Acceleration. In our system we use two smartphones as the measurement device, the first one is called control device, and the another one is called sensor device. Subject wears sensor device to perform test, occupational therapist observes test data on control device. Our algorithm can determine the steps while subject walks, and can also distinguish between object’s state of sitting and walking. This thesis also compares the traditional test method with ours. Experiments show that there is no significant different between them.

目錄
摘要 I
ABSTRACT II
致謝 III
目錄 IV
圖目錄 VII
表目錄 X
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 相關研究 3
第二章 背景知識 5
2.1 Timed Up-and-Go Test 5
2.1.1 Timed Up-and-Go Test簡介 5
2.1.2測試流程 5
2.2 步伐數用途 7
2.3 三軸加速度 7
2.4 三軸加速度與人體活動關係 8
2.5 藍芽 10
2.5.1 藍芽簡介 10
2.5.2 BLE通訊模式 12
2.5.3 BLE Generic Attribute Profile 14
2.5.4 Universally unique identifier 16
2.6 Android簡介 17
第三章 系統架構 21
3.1 Android感測器 21
3.1.1 手機三軸加速度計 21
3.1.2 感測器擺放位置 22
3.2 開發環境介紹 25
3.2.1 軟體介紹 25
3.2.2 硬體介紹 27
3.3 系統實現 28
3.3.1 系統簡介 28
3.3.2 行為模式辨別 29
3.3.3 步伐偵測 35
3.4 Android裝置呈現 39
3.4.1 控制端(Control Device) 39
3.4.2 感測端(Sensor Device) 40
第四章 實驗測試與分析 41
4.1 步伐判定偵測 41
4.1.1 實驗環境 41
4.1.2 實驗介紹 41
4.1.3 實驗數據 42
4.1.4 實驗結果分析 48
4.2 Timed Up-and-Go Test實驗 49
4.2.1 實驗環境 49
4.2.2 實驗介紹 49
4.2.3 實驗數據 50
4.2.4 實驗結果分析 53
第五章 結論 55
Furture work 56
參考資料 57


[1].Android SDK, http://developer.android.com/sdk/index.html, May 2015.
[2].Android Introduce, http://zh.wikipedia.org/wiki/Android, May 2015.
[3].Android SQLite, http://developer.android.com/guide/topics/data/data-storage.html, May 2015.
[4].Android市占率, http://www.ithome.com.tw/news/93874, May 2015.
[5].Android Motion Sensor, http://developer.android.com/index.html, May 2015.
[6].Alessandro Donati. “The development of stride length and stride frequency in sprinting” in IAAF, pp. 51-66, 1995.
[7].API 5.0, http://developer.android.com/about/versions/android-5.0.html, May 2015.
[8].Bluetooth, http://www.bluetooth.com/Pages/Bluetooth-Home.aspx, May 2015.
[9].Chia-Ming Chang, Chih-Neng Tsai. “Division of Geriatrics and Gerontology” in Journal of the Formosan Medical Association, pp. 364-374, 2003.
[10].Do-Un Jeong, Se-Jin Kim, Wan-Young Chung. “Classification of Posture and Movement Using a 3-axis Accelerometer” in International Conference on Convergence Information Technology, pp. 837-844, 2007.
[11].Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore. “Activity Recognition using Cell Phone Accelerometers” in SIGKDD Explorations Volume 12, Issue2, pp. 74-82, July 2010.
[12].Kevin Townsend, Carles Cufi, Akiba, Robert Davidson. “Getting Started with Bluetooth Low Energy” First Edition, O’REILLY, 2014.
[13].Okko Lohmann, Thomas Luhmann, Andreas Hein. “Skeleton Timed Up and Go” in IEEE International Conference, pp. 524-528, 2012.
[14].Sa-kwang, Jaewon Jang, and Soojun Park. “A Phone for Huma.n Activity Recognition Using Triaxial Acceleration Sensor” in IEEE, 2008.
[15].Timed Up and Go, https://www.rheumatology.org, May 2015.
[16].Wei-Meng Lee. “Beginning Android 4 Application Development” John Wiley &; Sons, Inc, 2012.
[17].台灣內政部生育率統計, http://sowf.moi.gov.tw/stat/year/list.htm, May 2015.


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