Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/92961
標題: Development of iHealth APP Incorporating Face detection for UVI Prediction
發展結合臉部偵測之紫外線指數預測iHealth行動照護APP
作者: 王涵
Han Wang
關鍵字: skin cancer
ultraviolet
paired t test
mobile health
皮膚癌
紫外線
成對樣本t檢定
行動照護
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摘要: There are over 3.5 million cases of skin cancer diagnosed in the US every year. Studies have shown that prolonged exposure to the sun would result in skin cancer. In this study, the intensity of nose and philtrum has been normalized by using Max-Min Normalization. However, there was significant difference between intensity of nose and philtrum by using paired-sample t-test. Furthermore, it was found that predicted UVI (ultraviolet index) was a multiple of ratio of nose intensity to philtrum intensity in further analysis. Besides, there was not significant difference between predicted UVI and Central Weather Bureau's UVI by using independent-sample t test. Additionally, a mobile APP (Application) was constructed. It can not only predict UVI with face detection automatically but also offer users information about skin cancer in time. Finally, Technology Acceptance (TAM) Model was applied to check the reliability of ihealth APP. Results revealed that ihealth APP is reliable.
每年在美國有超過三百五十萬案例被診斷為皮膚癌,而且研究顯示皮膚長期暴露於紫外線下可能會造成皮膚癌,因此希望藉由APP預防皮膚癌的發生。本論文將預先蒐集之鼻樑與人中亮度比值資料進行資料預處理及最大最小正規化,接著經過成對樣本t檢定(paired t test)確認鼻樑與人中亮度比值有顯著差異後,研發出鼻樑人中預測紫外線演算法,最後使用獨立樣本t檢定(independent sample t test)確認透過鼻樑人中預測紫外線演算法預測之紫外線指數與中央氣象局提供之紫外線指數沒有顯著差異後,將鼻樑人中預測紫外線演算法與APP結合開發一套可依據每個人人臉之鼻樑與人中即時提供防曬建議及皮膚癌相關資訊之符合未來需求之行動照護APP,最後本論文透過科技接受模型(Technology Acceptance Model)設計問卷以驗證使用者對於本APP之使用意願。期望未來資訊科技運用於行動照護領域會更蓬勃的發展,本論文開發之行動照護APP也可成為未來開發行動照護APP之典範。
URI: http://hdl.handle.net/11455/92961
其他識別: U0005-1707201512205900
文章公開時間: 2018-07-23
Appears in Collections:資訊管理學系

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