本論文提出一個使用智慧型手機來判定跌倒的偵測機制，其最大的特色是不要求手機擺放在身體上某個固定位置。本機制利用手機中內建的三軸加速度計，偵測跌倒前後的三軸變化與手機的角度變化以判斷是否發生跌倒事件。當手機放置於上衣口袋、外套口袋、褲子前後口袋，還有腰包與包包時，透過本機制能有效準確地偵測出各類跌倒，並於跌倒後發出警示聲與簡訊，來通知相關人員，包括往前跌倒、往後跌倒、右側跌倒與左側跌倒，而跑步、走路、坐下、蹲下、上樓梯和下樓梯的一般動作本機制則不會誤判為跌倒。本機制跌倒偵測的Sensitivity為91.5%，平均Specificity為97.5%，此實驗數據證明本機制的有效性

The paper presents a detection mechanism that uses a smartphone to detect fall events. The main feature of the mechanism is that it does not require the smartphones to be placed in fixed positions. The mechanism utilizes the built-in 3 axis-accelerometer in the smartphone to detect the changes of the three axes and the handset’s body before and after a fall, and hence to determine if a fall event has occurred. When the smartphone running the application is placed in pockets of the pants, pockets of shirts, pockets of jacket and bags, fanny pack, the mechanism can effectively detect real falls, including forward, backward, rightward, and leftward falls. On the other hand, non-fall activities such as running, walking, sitting down, squatting, going upstairs and downstairs, and other special movement will not be mistakenly recognized as real falls. The average sensitivity of the presented detection mechanism is 91.5%, and the average specificity is 97.5%. These results prove the effectiveness of the presented mechanism.

致謝i
Abstract ii
中文摘要iii
目錄iv
圖目錄vi
表目錄viii
第一章 概論1
1.1 研究背景與動機1
1.2 研究目標3
1.3 論文架構3
第二章 相關知識4
2.1 加速度計4
2.2 跌倒姿態分類5
2.3 手機擺放位置分類5
2.4 智慧型手機跌倒偵測機制之相關研究9
第三章 非固定擺放位置之智慧型手機跌倒 偵測機制10
3.1 研究方法10
3.2 系統流程16
第四章 實驗結果與分析19
4.1 實驗環境19
4.2 實驗數據與分析20
4.3 實驗資料彙整40
4.4 實驗成果42
4.5 效能比較45
第五章 結論與未來展望47
參考文獻48

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