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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
引用: 中文文獻 [1] 丁一賢、陳牧言, 資料探勘: 滄海書局, 2006. [2] 林曉芳, 統計學-SPSS之應用: 鼎茂, 2013. [3] 國立屏東科技大學生物統計小組, 生物統計學 (第二版), 2012. [4] 謝小燕, '抑癌蛋白 p53 與細胞週期的調控 from: http://www.sinica.edu.tw/as/advisory/journal/14-1/87-89.pdf.' 英文文獻 [5] J. M. Alexandre Santosa, António Costaa, M. João Nicolau, 'Internet of Things and Smart Objects for M-health Monitoring and Control,' Procedia Technology, vol. 16, pp. 1351-1360, 2014. [6] H. N. Ananthaswamy and W. E. Pierceall, 'Molecular Mechanisms of Ultraviolet-Radiation Carcinogenesis,' Photochemistry and Photobiology, vol. 52, pp. 1119-1136, Dec 1990. [7] M. F. a. P. D. Berger, Improving the User Experience through Practical Data Analytics 2015. [8] D. E. Brash, J. A. Rudolph, J. A. Simon, A. Lin, G. J. McKenna, H. P. Baden, A. J. Halperin, and J. Ponten, 'A role for sunlight in skin cancer: UV-induced p53 mutations in squamous cell carcinoma,' Proc Natl Acad Sci U S A, vol. 88, pp. 10124-8, Nov 15 1991. [9] D. E. Brash, A. Ziegler, A. S. Jonason, J. A. Simon, S. Kunala, and D. J. Leffell, 'Sunlight and sunburn in human skin cancer: p53, apoptosis, and tumor promotion,' J Investig Dermatol Symp Proc, vol. 1, pp. 136-42, Apr 1996. [10] C. F. Chen and P. C. Chen, 'Applying the TAM to travelers' usage intentions of GPS devices,' Expert Systems with Applications, vol. 38, pp. 6217-6221, May 2011. [11] F. D. Davis, 'Perceived usefulness, perceived ease of use, and user acceptance of information technolog,' MIS Quarterly, vol. 13, pp. 319-340, 1989. [12] T. K. L. Diana Y Diao, 'Sun-protective behaviors in populations at high risk for skin cancer,' Psychology Research and Behavior Management, 2014. [13] A. Fourtanier, D. Moyal, and S. Seite, 'Sunscreens containing the broad-spectrum UVA absorber, Mexoryl (R) SX, prevent the cutaneous detrimental effects of UV exposure: a review of clinical study results,' Photodermatology Photoimmunology & Photomedicine, vol. 24, pp. 164-174, Aug 2008. [14] C. Free, G. Phillips, L. Watson, L. Galli, L. Felix, P. Edwards, V. Patel, and A. Haines, 'The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis,' Plos Medicine, vol. 10, Jan 2013. [15] I. D. F. Giovanna Sannino , Giuseppe De Pietro, 'A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system,' Applied Soft Computing, vol. 34, pp. 205-216, 2015. [16] N. I. o. Health, What You Need To Know About - Melanoma and Other Skin Cancers: National Institutes of Health, 2010. [17] A. N. Houghton and D. Polsky, 'Focus on melanoma,' Cancer Cell, vol. 2, pp. 275-278, Oct 2002. [18] C. Kanan and G. W. Cottrell, 'Color-to-Grayscale: Does the Method Matter in Image Recognition?,' Plos One, vol. 7, pp. 133-139, Jan 10 2012. [19] R. Likert, 'A Technique for the Measurement of Attitudes,' Archives of Psychology, 1932. [20] M. M. Jason Brooke, JD, Abhishek Rege, PhD, Glucose Intake and Utilization in Pre-Diabetes and Diabetes 2015. [21] D. L. Miller and M. A. Weinstock, 'Nonmelanoma Skin-Cancer in the United-States - Incidence,' Journal of the American Academy of Dermatology, vol. 30, pp. 774-778, May 1994. [22] D. Moyal, 'Prevention of ultraviolet-induced skin pigmentation,' Photodermatol Photoimmunol Photomed, vol. 20, pp. 243-7, Oct 2004. [23] G. P. Pfeifer, Y. H. You, and A. Besaratinia, 'Mutations induced by ultraviolet light,' Mutat Res, vol. 571, pp. 19-31, Apr 1 2005. [24] R. P. Phillipson, S. E. Tobi, J. A. Morris, and T. J. McMillan, 'UV-A induces persistent genomic instability in human keratinocytes through an oxidative stress mechanism,' Free Radical Biology and Medicine, vol. 32, pp. 474-480, Mar 1 2002. [25] Y. A. S. Arimoto-Kobayashi, Y. Horai, K. Okamoto, H. Hayatsu, J.E. Lowe, M.H. Green, 'Mutation, DNA strand cleavage and nitric oxide formation caused by N-nitrosoproline with sunlight: a possible mechanism of UVA carcinogenicity,' Carcinogenesis, pp. 1537-1540, 2015. [26] S. M. S. Séite, J. de Rigal, J.L. Lévêque, C. Hourseau, A. Fourtanier, 'Mexoryl SX: a broad absorption UVA filter protects human skin from the effects of repeated suberythemal doses of UVA,' J. Photochem. Photobiol, pp. 69–76, 1998. [27] R. Sommaruga, 'Perspectives and research on environmental effects of ultraviolet radiation,' Photochem Photobiol Sci, vol. 8, p. 1217, Sep 2009. [28] V. M. T.L.DIEPGEN, 'The epidemiology of skin cancer,' British Journal of Dermatology, 2002. [29] A. T. Thompson, Barry N, The International System of Units: Washington: National Institute of Standards and Technology, 2008. [30] W. Ting, K. Schultz, N. N. Cac, M. Peterson, and H. W. Walling, 'Tanning bed exposure increases the risk of malignant melanoma,' International Journal of Dermatology, vol. 46, pp. 1253-1257, Dec 2007. [31] M. Widel, 'Bystander effect induced by UV radiation; why should we be interested?,' Postepy Hig Med Dosw (Online), vol. 66, pp. 828-37, 2012.
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
Rights: 同意授權瀏覽/列印電子全文服務，2018-07-23起公開。
Appears in Collections:資訊管理學系

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