臺灣博碩士論文加值系統

高齡化社會來臨，老人照護與安全是不容忽視的議題，根據衛生署國民健康局資料顯示，除了交通事故之外，跌倒為造成老人事故傷亡主要原因。而老人發生跌倒時，常因為身旁無人可以即時幫忙，而造成更嚴重的傷害。智慧手機因內建感應器、GPS與上網功能，因具備感應網路之基礎，極適合作為老人跌倒預警偵測使用。本研究利用APP安裝於智慧型手機上來監測老人的步行活動，當發生跌倒時通知家屬或救援單位協助處理；同時將跌倒發生之地點記錄在系統中，且列為跌倒危險區域（fall-risk-area）。若其它使用者進入此區，系統將會發送警示訊息。實驗結果顯示，系統經過自動學習與配合LBS（Location Based Service）資訊，正確發報率比沒有學習和沒有LBS資訊的系統較為準確，也能有效減少老人跌倒事件的發生。

The advent of aging society, the elderly care and safety issues cannot be ignored. According to the Bureau of Health Promotion, Department of Health, R.O.C.(Taiwan) information, In addition to traffic accidents, Falling is the main reason of accident casualties for the elderly. When elderly falls, no one beside instant help often caused more serious injuries. Smart phones with built-in sensors, GPS and Internet access, are suitable detecting tools for the elderly. In this research, we proposed an APP on smart phones to monitor the elder’s motion. If falling occurs, the notification will send to emergency unit. At the same time, falling location will be recorded in system and will be pointed out to alarm someone who entered the area what is called fall risk area (FRA). Experimental results show that, after automatic learning with LBS (Location Based Service) information, the accuracy of this system is higher than LBS-less.

摘 要 I
ABSTRACT II
致謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 老人跌倒問題之探討 1
1.2 研究動機與目的 2
1.3 研究流程 2
1.4 研究範圍與限制 4
1.4.1 研究範圍 4
1.4.2 研究限制 4
1.5 論文架構 4
第二章 相關研究與文獻探討 5
2.1 跌倒偵測之分類 5
2.2 移動式跌倒感測器（MOTION DEVICE） 7
2.3 移動式跌倒偵測演算法（FALL DETECTION ALGORITHM） 9
2.4 移動式跌倒偵測系統之研究 11
第三章 跌倒預警偵測系統 15
3.1 系統設計原理 15
3.2 系統架構 17
3.3 系統方法 18
3.4 系統功能 19
3.5 跌倒偵測演算法 21
3.6 系統演算法流程 24
第四章 系統開發與驗證 26
4.1 系統平台與開發工具 26
4.2 系統驗證 26
4.2.1 後端通訊部份 26
4.2.2 影響跌倒偵測加速度臨界值之變因 27
4.2.3 跌倒發報之準確率 28
4.3 系統驗證 35
4.4 結果討論 44
第五章 結論與未來方向 45
5.1 結論 45
5.2 未來方向 45
文獻探討 46

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