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研究生:吳松蓊
研究生(外文):Song-Weng Wu
論文名稱:探討體型及配戴位置影響Zigbee無線跌倒偵測器之輸出研究
論文名稱(外文):A Study on the Affection of Bodily Form and Wearing Position for the Output of Falling Detector
指導教授:吳志宏吳志宏引用關係
指導教授(外文):Chih-Hung Wu
學位類別:碩士
校院名稱:建國科技大學
系所名稱:電機工程系暨研究所
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:2013
畢業學年度:101
語文別:中文
論文頁數:59
中文關鍵詞:跌倒偵測三軸加速度感測器Zigbee可靠度
外文關鍵詞:Falling DetectionAccelerometerZigbeeReliability
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為避免老人在發生跌倒時,若無旁人協助通報醫院緊急處理的情況之下,極易因為耽誤到治療的黃金時間而危及到生命安全,為此發展老人跌倒偵測方式的相關課題日漸重要。目前許多研究採用三軸加速度計(GSensor)感測值超越預設門檻值即觸發緊急通報機制的作法,易受老人體型、跌倒種類及感測器配戴位置的不同,而需調整預設門檻值以提高跌倒偵測的可靠度,否則容易因為誤判而造成救護人員往返的人事及交通成本,因此如何有效的提高這類裝置的可靠度是相當重要的。本研究建立一套跌倒偵測實驗系統,GSensor的輸出值會透過Zigbee無線通訊傳送至伺服器監控程式Matlab。本研究在不一樣的跌倒類型以及感測器的配戴位置相異之情況下,蒐集不同身高體重的受測者在發生跌倒時GSensor所輸出的數據。再依照這些數據整理分析後找出適合的門檻值調整機制,以利今後針對不同身高體重的老人,設定觸發緊急通報機制的門檻值,有效的提高跌倒偵測器的可靠度。
When the elders fell without help of any body on the spot, the situation will delay the treatment for gold time for the injured elders and even endanger the life safety. To solve this problem, the development of the related issues for fall detection methods is increasingly important. At present many studies used tri-axial accelerometer to detect the fall of the elders. When the value of the tri-axial accelerometer beyond the default threshold, the emergency notification system will be triggered an alarm. The value of the tri-axial accelerometer by above approach will vary for different bodily form, falling types and wearing position of falling detector, so it is important to adjust the default threshold to raise the reliability of falling detection. This study established a fall detection system and the system sent the output value of GSensor through Zigbee wireless communication to the server running Matlab program. The paper collected the GSensor data from the participants having different height and weight in the different falling types and wearing position of falling detector, and then analyzed the data to find the adjustment mechanism of the default threshold to raise the reliability of falling detection.
目錄
摘要 I
Abstract II
目錄 III
圖目錄 V
表目錄 VIII
第一章緒論 1
1.1前言 1
1.2論文架構 4
第二章系統硬體架構 5
2.1 跌倒偵測介紹 6
2.1.1 微控制器介紹 6
2.1.2三軸加速器 7
2.1.3 Zigbee通訊模組 8
2.2 跌倒偵測器硬體接線圖 10
第三章軟體系統架構 11
3.1軟體系統架構 11
3.2 主程式(C語言介紹) 12
3.2.1類比訊號轉數位(A/D) 13
3.2.2三軸加速度感應器 13
3.2.3 UART通訊 14
3.2.4 Zigbee通訊模組 15
第四章實驗結果與分析 16
第五章結論與建議 57
參考文獻 58
參考文獻
[1]蔡益堅、葉純志、藍祚運等人,1999 年與2005 年台灣地區老人跌倒狀況之比較,2005 年。
[2] 王俊權、柯冠任,應用Zigbee無線通訊於老人跌倒偵測之研製,建國科技大學電機工程系一零一學年度專題製作報告書,2012年。
[3]馮丁樹,MatLab教學,資料來源:http://www.ecaa.ntu.edu.tw/weifang/matlab/index-matlab.htm,2012年。
[4]白熊的DIY網頁,資料來源:http://rushoun.myweb.hinet.net/PIC/mplabide.htm,2012年。
[5]C語言,資料來源:https://zh.wikipedia.org/wiki/C%E8%AF%AD%E8%A8%80,2012年。
[6] Frank Sposaro, Gary Tyson, "iFall: An Android Application for Fall Monitoring and Response", 31st Annual International Conference of the IEEE EMBS Minneapolis, September, 2009.
[7] Majd Alwan, Prabhu Jude Rajendran, Steve Kell, David Mack, Siddharth Dalal, Matt Wolfe, and Robin Felder, “A smart and passive floor-vibration based fall detector for elderly”, Information and Communication Technologies, ICTTA 2006, Vol. 1, pp.1003 -1007, 2006.
[8]Tracy Lee and Alex Mihailidis, “An intelligent emergency response system: preliminary development and testing of automated fall detection”, Journal of Telemedicine and Telecare, 11(4): pp.194 – 198, 2005.
[9]Shaou-Gang Miaou, Pei-Hsu Sung, and Chia-Yuan Huang, “A customized human fall detection system using omni-camera images and personal information”, Proceedings of the 1st Distributed Diagnosis and Home Healthcare (D2H2) Conference, pp.39–41, April 2006.
[10]Caroline Rougier and Jean Meunier, “Demo: Fall detection using 3d head trajectory extracted from a single camera video sequence”.
[11]K Doughty, R Lewis, and A McIntosh, “The design of a practical and reliable fall detector for community and institutional telecare”, Journal of Telemedicine and Telecare,6(1): pp.150 – 154, 2000.
[12]G Williams, K Doughty, K Cameron, and D.A. Bradley, “A smart fall and activity monitor for telecare applications”, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 30, pp.1151–1154, 1998.
[13]Thomas Riisgaard Hansen, J. Mikael Eklund, Jonthan Sprinkle, Ruzena Bajcsy, and Shankar Sastry, “Using smart sensors and a camera phone to detect and verify the fall of elderly persons”, European Medicine, Biology and Engineering Conference (EMBEC 2005), 2005.
[14]Chansik Park, Jae-Won Suh, Eun-Jong Cha and Hyeon-Deok Bae, “Pedestriannavigation system with fall detection and energy expenditure calculation”, Instrumentation and Measurement Technology Conference (I2MTC) , pp. 1 - 4, 2011.
[15]Chia-Chi Wang, Chin-Yen Chiang, Po-Yen Lin, Yi-Chieh Chou, I-Ting Kuo,Chih-Ning Huang and Chia-Tai Chan, “Development of a Fall Detecting System for theElderly Residents”, The 2nd International Conference on Digital Object Identifier, pp. 1359- 1362, 2008.

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