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題名 基於行動影像標籤的飲食管理系統之可行性分析
An Evaluation of Mobile Personal Dietary Management Application Based On Photograph Annotation Evaluation of Mobile Personal Dietary Management Application Based On Photograph Annotation
作者 何浩瑋
Ho, Hao Wei
貢獻者 郭正佩
Kuo, Pei Jeng
何浩瑋
Ho, Hao Wei
關鍵詞 個人生命記憶典藏
影像後設資料
健康控制
社會認知理論
飲食管理
Personal Archiving
Metadata-Based Imagination
Healthy Locus of Control
Social Cognitive Theory
Dietary Management
UserLog
日期 2015
上傳時間 17-Aug-2015 14:11:44 (UTC+8)
摘要 生活於手機相機普及的今日，人們逐漸依賴隨手可得的行動裝置記錄生活，影像記錄儼然成為今日人們記錄生活的方式之一。本研究致力於提供使用者個人化之飲食管理系統，讓使用者在利用影像記錄飲食之時，改變自身的多樣性飲食攝取行為，讓個體更為健康。透過健康控制與社會認知理論，我們以影像後設資料的運用，增加自我效能，提供使用者方便的飲食記錄方式、以及更能掌握自身的營養狀況，讓使用者在記錄飲食的同時，還能改變自身飲食攝取行為，更能作為未來回憶飲食狀況之線索。在實驗設計上，我們邀請6位受試者使用本研究所開發的飲食管理系統，利用兩週的時間真實模擬生活中的飲食記錄環境。我們分析使用者實驗前後的自我效能問卷，以及所記錄的飲食記錄作為評估依據。實驗結果顯示，我們的系統能夠提升個體自我效能外，還能夠改變個體的飲食攝取行為。因此本研究有效促進自我效能感協助使用者在記錄生活，讓個體飲食更加健康
In these days, as the popularity of smart phone grows, people tend to rely on mobile devices to record their lives. Digital photograph has become one of the ways people recording their daily lives. This research is aimed at providing users with personalized dietary management system, allowing users not only use photos to record their life, but also change their behavior to keep users in good health. Based on health control and social cognitive theory, this application utilizes the metadata of the images to enhance self-efficacy, to provide users an easier way to record their dietary and take better control of their own health. Furthermore, the data of the application allows users to recall the dietary and thus improves users’ dietary habits. For the experimental design, 6 subjects were invited to use rthis dietary management application, to record their daily dietary in two weeks. The subjects were asked to use the system, and answer a questionnaire related to the self-efficiency of their adequate dietary after using the application. Experimental results shows that this system not only helps users enhance individual self-efficacy in dietary but also change their dietary habit to achieve the goal of balanced dietary and in good health.
參考文獻 [1] Nutrition and Health Survey in Taiwan http://nahsit.nhri.org.tw/
[2] Bill Gates. The Road Ahead. New York: Viking Press.1995
[3] M. Bamberg. New Image Frontiers: Defining the Future of Photography. Cambridge: Course Technology, 2012
[4] F. E. Thompson at la., Need for technological innovation in dietary assessment , Proc. of J. Amer Diet Assoc 110(1): pp. 48-51, 2010.
[5] Y.C. Yang at al., ” Using Real Time Physical Activity Record and Remind System and Food Intake Image Analysis System to Customize Health Management”, school of Medicine, National Cheng Kung University, 2011.
[6] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance”, Proc ofICUIMC `10 Proceedings of the 4th International Conference on Uniquitous Information Management and Communication Article No. 56 , 2010.
[7] K Aizawa at al., “Food Balance Estimation by Using Personal Dietary Tendencies in a Multimedia Food Log”, Proc. of Multimedia, IEEE Transactions on pp. 2176 - 2185, 2013
[8] K Aizawa at al., “Image Processing Based Approach to Food Balance Analysis for Personal Food Logging”, Proc of Multimedia and Expo (ICME), 2010 IEEE International Conference on pp. 625 - 630, 2010
[9] Pishva et al. “Bread recognition using color distribution analysis”. Proc of IEICE TRANSACTIONS on Information and Systems Vol.E84-D No.12
pp 1651-1659, 2001.
[10] Hoashi, H. Image Recognition of 85 Food Categories by Feature Fusion,Proc of Multimedia (ISM), 2010 IEEE International Symposium on pp 296-301., 2010.
[11] Shulin Yang , et al. “Food Recognition Using Statistics of Pairwise Local Features” . Proc of Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on pp. 2249 - 2256 2010.
[12] Ye He at la. “Context based food image analysis”, Proc. of
Image Processing (ICIP), 20th IEEE International Conference pp 2748 - 2752. 2003.
[13] Jon Noronha at la.,PlateMate-_Crowsourcing Nutrition Analysis from Food Photographs, Proc of 24th annual ACM symposium on User interface software and technology, UIST `11, pp. 1-12, 2011
[7] Ames, M., & Naaman, M. “Why we tag: Motivations for annotation in mobile and online media”. Proc. of the CHI `07 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp971-980, 2007
[8] G. Bell and J. Gemmell . Total Recall: How the E-Memory Revolution Will Change Everything. New York: Dutton, 2009
[9] Warren Belasco. Food: The Key Concepts. New York : Berg, 2008
[10] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance” , Proc. Of the ICUIMC `10 Proceedings of the 4th International Conference on Uniquitous Information Management and Communication Article No. 56, 2010.
[11] Mayumi Ueda at la. “User`s Food Preference Extraction for Personalized Cooking Recipe Recommendation”. Proc. of the Second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation, 2011.
[13] H. Xie, L. Yu, and Q. Li. “A hybrid Semantic Item Model for Recipe Search by Example”, Proc. of Multimedia (ISM), 2010 IEEE International Symposium on pp 254 - 259, 2010.
[14] Lydia Zepeda.”Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes”, Proc of the nternational Journal of Consumer Studies
Volume 32, Issue 6, pages 692–698, 2008.
[15] Jeffrey M. Quinn at al., “Can’t Control Yourself? Monitor Those Bad Habits”, Proc. of Pers Soc Psychol Bull, 2010
[16] Angela Kong, at al. “Self-Monitoring and Eating-Related Behaviors Are Associated with 12-Month Weight Loss in Postmenopausal Overweight-to-Obese Women”. Proc. of Journal of the Academy of Nutrition and Dietetics, Vol. 112, Issue 9, Pages 1428–1435, 2012.
[17] Toshiki at al., “Using social media to change eating habits without conscious effort”, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication pp. 527-535, 2014
[18]Patrik k at al.,”A text message-based intervention for weight loss: randomized controlled trial”,Proc at J Med Internet Res 13;11(1):e1. doi: 10.2196/. 2009
[19] J. P. Pollak at al. “It’s Time to Eat! - Using Mobile Games to Promote Healthy Eating”,Proc of the Pervasive Computing, IEEE (Volume:9 , Issue: 3 ) pp. 21 - 27 ,2010.
[20] IM Lopes at al. A mobile health monitoring solution for weight control.Proc of the Wireless Communications and Signal Processing (WCSP), 2011 International Conference on pp.1-5, 2011.
[21] Nettleton, S. Governing the risky self: How to become healthy, wealthy and wise. In A. Petersen and R. Bunton (Eds.), Foucault, health and medicine,1997
[22] Bandura A. self-efficacy toward a unifying theory of behavioral change. Proc of the , Vol 84(2), Mar 1977, 191-215., 1997
[23]RW White, motivation reconsidered the concept of competence. Proc of the Psychological Review, Vol 66(5), Sep 1959, 297-333., 1959
[23]JB Rotter,Generalized. “expectancies for internal versus external control of reinforcement”,Proc of the Psychological Monographs: General and Applied, Vol 80(1), 1-28.,1996
[24] Bandura A, “human agency in social cognitive theory. american psychologist”, Proc of the American Psychologist, Vol 44(9), Sep 1989, 1175-1184., 1989
[25] Bandura A, “Some Reflections on Reflection, psychological review”,Proc of the Journal of Personality Assessment (Impact Factor: 2.01). 01/2006; 85(3):344-6.,1990
[26] Champion VL, Instrument development for health belief model constructs., Proc of the ANS Adv Nurs Sci. 1984 Apr;6(3):73-85.,1984
[27] Abood DA at al.,Nutrition education worksite intervention for university staff: application of the health belief model. Proc of the J Nutr Educ Behav. 2003 Sep-Oct;35(5):260-7.,2003
[28] Chew F., Testing the influence of the health belief model and a television program on nutrition behavior, Proc of the Health Commun. 1998;10(3):227-45.,1998
[29] Peng W , Design and evaluation of a computer game to promote a healthy diet for young adults., Proc of the Health Commun. 2009 Mar;24(2):115-27,2009
[30] Bandura A.,SOCIAL COGNITIVE THEORY: An Agentic Perspective, J. Pers. Soc. Proc of the Annu. Rev. Psychol. 2001. 52:1–26, 2001
[31] Clark NM1, Dodge JA, Exploring self-efficacy as a predictor of disease management. Proc of the Health Educ Behav. 1999 Feb;26(1):72-89., 1999
[32] Kim D. Reynolds ,Social Cognitive Model of Fruit and Vegetable Consumption in Elementary School Children, Proc of the Journal of Nutrition Education and Behavior volume 31, Issue 1, Pages 23–30,1999
[33] Anderson E.S at al., Self-regulation, self-efficacy, outcome expectations, and social support: social cognitive theory and nutrition behavior. Proc of the Ann Behav Med. 2007 Nov-Dec;34(3):304-12.,2007
[34] D. G. Lowe, “Object recognition from local scale-invariant features,”Proc of the Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on vol. 2, pp.1150–1157, 1999.
[35] H. Bay, T. Tuytelaars, and L. Van Gool, “Surf: Speeded up robust features,”Computer Vision–ECCV 2006, pp. 404–417, 2006.
[36] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Building personal digital photograph libraries: An approach with ontology-based MPEG-7 dozen dimensional digital content architecture; Proc of the Computer Graphics International, IEEE ,pp 482 – 489, 2004.
[37] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “MPEG-7 based dozen dimensional digital content architecture for semantic image retrieval services” Proc. of e-Technology, e-Commerce and e-Service, 2004. EEE `04. 2004 IEEE International Conference on pp. 517 - 524, 2004.
[38] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture”; Proc. of Archiving Conference Society for Imaging Science and Technology pp. 188-192(5), 2005.
[39] Po-Yen Chen and Pei-Jeng Kuo, ”Archiving of Personal Digital Photograph Collections with a MPEG-7 based Geotag Related Annotation Methodology,”Proc of the Archiving 2012 Copenhagen, pp. 107-110(4), 2012.
描述 碩士
國立政治大學
資訊科學學系
100753026
資料來源 http://thesis.lib.nccu.edu.tw/record/#G1007530267
資料類型 thesis
dc.contributor.advisor 郭正佩zh_TW
dc.contributor.advisor Kuo, Pei Jengen_US
dc.contributor.author (Authors) 何浩瑋zh_TW
dc.contributor.author (Authors) Ho, Hao Weien_US
dc.creator (作者) 何浩瑋zh_TW
dc.creator (作者) Ho, Hao Weien_US
dc.date (日期) 2015en_US
dc.date.accessioned 17-Aug-2015 14:11:44 (UTC+8)-
dc.date.available 17-Aug-2015 14:11:44 (UTC+8)-
dc.date.issued (上傳時間) 17-Aug-2015 14:11:44 (UTC+8)-
dc.identifier (Other Identifiers) G1007530267en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77576-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 100753026zh_TW
dc.description.abstract (摘要) 生活於手機相機普及的今日，人們逐漸依賴隨手可得的行動裝置記錄生活，影像記錄儼然成為今日人們記錄生活的方式之一。本研究致力於提供使用者個人化之飲食管理系統，讓使用者在利用影像記錄飲食之時，改變自身的多樣性飲食攝取行為，讓個體更為健康。透過健康控制與社會認知理論，我們以影像後設資料的運用，增加自我效能，提供使用者方便的飲食記錄方式、以及更能掌握自身的營養狀況，讓使用者在記錄飲食的同時，還能改變自身飲食攝取行為，更能作為未來回憶飲食狀況之線索。在實驗設計上，我們邀請6位受試者使用本研究所開發的飲食管理系統，利用兩週的時間真實模擬生活中的飲食記錄環境。我們分析使用者實驗前後的自我效能問卷，以及所記錄的飲食記錄作為評估依據。實驗結果顯示，我們的系統能夠提升個體自我效能外，還能夠改變個體的飲食攝取行為。因此本研究有效促進自我效能感協助使用者在記錄生活，讓個體飲食更加健康zh_TW
dc.description.abstract (摘要) In these days, as the popularity of smart phone grows, people tend to rely on mobile devices to record their lives. Digital photograph has become one of the ways people recording their daily lives. This research is aimed at providing users with personalized dietary management system, allowing users not only use photos to record their life, but also change their behavior to keep users in good health. Based on health control and social cognitive theory, this application utilizes the metadata of the images to enhance self-efficacy, to provide users an easier way to record their dietary and take better control of their own health. Furthermore, the data of the application allows users to recall the dietary and thus improves users’ dietary habits. For the experimental design, 6 subjects were invited to use rthis dietary management application, to record their daily dietary in two weeks. The subjects were asked to use the system, and answer a questionnaire related to the self-efficiency of their adequate dietary after using the application. Experimental results shows that this system not only helps users enhance individual self-efficacy in dietary but also change their dietary habit to achieve the goal of balanced dietary and in good health.en_US
dc.description.tableofcontents 第一章、緒論 9
1.1 研究背景 9
1.1.1 完全記憶的數位時代 10
1.1.2 記錄載具與行為的轉變 11
1.2 研究目的 11
第二章、文獻探討 13
2.1 飲食記錄 13
2.1.1 飲食記錄數位化 13
2.1.2 影像飲食管理 16
2.1.3 自我監測的飲食管理系統 17
2.1.4 現有飲食管理方法綜合比較 22
2.1.5 小結 24
2.2 健康信念模式與社會認知理論 25
2.2.1 自我控制論述 26
2.2.2 健康信念模式 27
2.2.3 社會認知理論 28
2.2.4 小結 29
2.3 影像內容與檢索機制 30
2.2.1 基於內容之影像檢索 30
2.2.2 基於後設資料之影像檢索 31
2.2.3 小結 32
2.4 文獻探討總結 33
第三章、研究方法 34
3.1 促進飲食多樣性攝取系統 34
3.2 場景說明 35
3.2.1 系統介面說明 37
3.3 系統架構 40
3.4 飲食多樣性系統 42
3.5 系統資料來源 43
3.5.1 餐廳資料來源 43
3.5.2 餐點資料來源 43
3.5.3 食材對應六大營養類別資料來源 43
第四章、研究評估 45
4.1實驗說明與流程 45
4.2實驗對象 46
4.3 研究限制 46
4.4 實驗環境 46
4.5 評估方法 47
第五章、結果討論 48
5.1 自我效能評估 48
5.1.1 整體自我效能評估 48
5.1.2 自我效能細項評估 49
5.2 飲食行為趨勢 51
5.3 飲食行為群體結果分析 53
5.3.1 穩定攝取型 53
5.3.2 攝取成長型 58
5.4 綜合討論 62
第六章、結論與未來展望 63
參考文獻 65
附錄一 65
附錄二 70
附錄三 73		zh_TW
dc.format.extent 1930731 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G1007530267en_US
dc.subject (關鍵詞) 個人生命記憶典藏zh_TW
dc.subject (關鍵詞) 影像後設資料zh_TW
dc.subject (關鍵詞) 健康控制zh_TW
dc.subject (關鍵詞) 社會認知理論zh_TW
dc.subject (關鍵詞) 飲食管理zh_TW
dc.subject (關鍵詞) Personal Archivingen_US
dc.subject (關鍵詞) Metadata-Based Imaginationen_US
dc.subject (關鍵詞) Healthy Locus of Controlen_US
dc.subject (關鍵詞) Social Cognitive Theoryen_US
dc.subject (關鍵詞) Dietary Managementen_US
dc.subject (關鍵詞) UserLogen_US
dc.title (題名) 基於行動影像標籤的飲食管理系統之可行性分析zh_TW
dc.title (題名) An Evaluation of Mobile Personal Dietary Management Application Based On Photograph Annotation Evaluation of Mobile Personal Dietary Management Application Based On Photograph Annotationen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] Nutrition and Health Survey in Taiwan http://nahsit.nhri.org.tw/
[2] Bill Gates. The Road Ahead. New York: Viking Press.1995
[3] M. Bamberg. New Image Frontiers: Defining the Future of Photography. Cambridge: Course Technology, 2012
[4] F. E. Thompson at la., Need for technological innovation in dietary assessment , Proc. of J. Amer Diet Assoc 110(1): pp. 48-51, 2010.
[5] Y.C. Yang at al., ” Using Real Time Physical Activity Record and Remind System and Food Intake Image Analysis System to Customize Health Management”, school of Medicine, National Cheng Kung University, 2011.
[6] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance”, Proc ofICUIMC `10 Proceedings of the 4th International Conference on Uniquitous Information Management and Communication Article No. 56 , 2010.
[7] K Aizawa at al., “Food Balance Estimation by Using Personal Dietary Tendencies in a Multimedia Food Log”, Proc. of Multimedia, IEEE Transactions on pp. 2176 - 2185, 2013
[8] K Aizawa at al., “Image Processing Based Approach to Food Balance Analysis for Personal Food Logging”, Proc of Multimedia and Expo (ICME), 2010 IEEE International Conference on pp. 625 - 630, 2010
[9] Pishva et al. “Bread recognition using color distribution analysis”. Proc of IEICE TRANSACTIONS on Information and Systems Vol.E84-D No.12
pp 1651-1659, 2001.
[10] Hoashi, H. Image Recognition of 85 Food Categories by Feature Fusion,Proc of Multimedia (ISM), 2010 IEEE International Symposium on pp 296-301., 2010.
[11] Shulin Yang , et al. “Food Recognition Using Statistics of Pairwise Local Features” . Proc of Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on pp. 2249 - 2256 2010.
[12] Ye He at la. “Context based food image analysis”, Proc. of
Image Processing (ICIP), 20th IEEE International Conference pp 2748 - 2752. 2003.
[13] Jon Noronha at la.,PlateMate-_Crowsourcing Nutrition Analysis from Food Photographs, Proc of 24th annual ACM symposium on User interface software and technology, UIST `11, pp. 1-12, 2011
[7] Ames, M., & Naaman, M. “Why we tag: Motivations for annotation in mobile and online media”. Proc. of the CHI `07 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp971-980, 2007
[8] G. Bell and J. Gemmell . Total Recall: How the E-Memory Revolution Will Change Everything. New York: Dutton, 2009
[9] Warren Belasco. Food: The Key Concepts. New York : Berg, 2008
[10] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance” , Proc. Of the ICUIMC `10 Proceedings of the 4th International Conference on Uniquitous Information Management and Communication Article No. 56, 2010.
[11] Mayumi Ueda at la. “User`s Food Preference Extraction for Personalized Cooking Recipe Recommendation”. Proc. of the Second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation, 2011.
[13] H. Xie, L. Yu, and Q. Li. “A hybrid Semantic Item Model for Recipe Search by Example”, Proc. of Multimedia (ISM), 2010 IEEE International Symposium on pp 254 - 259, 2010.
[14] Lydia Zepeda.”Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes”, Proc of the nternational Journal of Consumer Studies
Volume 32, Issue 6, pages 692–698, 2008.
[15] Jeffrey M. Quinn at al., “Can’t Control Yourself? Monitor Those Bad Habits”, Proc. of Pers Soc Psychol Bull, 2010
[16] Angela Kong, at al. “Self-Monitoring and Eating-Related Behaviors Are Associated with 12-Month Weight Loss in Postmenopausal Overweight-to-Obese Women”. Proc. of Journal of the Academy of Nutrition and Dietetics, Vol. 112, Issue 9, Pages 1428–1435, 2012.
[17] Toshiki at al., “Using social media to change eating habits without conscious effort”, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication pp. 527-535, 2014
[18]Patrik k at al.,”A text message-based intervention for weight loss: randomized controlled trial”,Proc at J Med Internet Res 13;11(1):e1. doi: 10.2196/. 2009
[19] J. P. Pollak at al. “It’s Time to Eat! - Using Mobile Games to Promote Healthy Eating”,Proc of the Pervasive Computing, IEEE (Volume:9 , Issue: 3 ) pp. 21 - 27 ,2010.
[20] IM Lopes at al. A mobile health monitoring solution for weight control.Proc of the Wireless Communications and Signal Processing (WCSP), 2011 International Conference on pp.1-5, 2011.
[21] Nettleton, S. Governing the risky self: How to become healthy, wealthy and wise. In A. Petersen and R. Bunton (Eds.), Foucault, health and medicine,1997
[22] Bandura A. self-efficacy toward a unifying theory of behavioral change. Proc of the , Vol 84(2), Mar 1977, 191-215., 1997
[23]RW White, motivation reconsidered the concept of competence. Proc of the Psychological Review, Vol 66(5), Sep 1959, 297-333., 1959
[23]JB Rotter,Generalized. “expectancies for internal versus external control of reinforcement”,Proc of the Psychological Monographs: General and Applied, Vol 80(1), 1-28.,1996
[24] Bandura A, “human agency in social cognitive theory. american psychologist”, Proc of the American Psychologist, Vol 44(9), Sep 1989, 1175-1184., 1989
[25] Bandura A, “Some Reflections on Reflection, psychological review”,Proc of the Journal of Personality Assessment (Impact Factor: 2.01). 01/2006; 85(3):344-6.,1990
[26] Champion VL, Instrument development for health belief model constructs., Proc of the ANS Adv Nurs Sci. 1984 Apr;6(3):73-85.,1984
[27] Abood DA at al.,Nutrition education worksite intervention for university staff: application of the health belief model. Proc of the J Nutr Educ Behav. 2003 Sep-Oct;35(5):260-7.,2003
[28] Chew F., Testing the influence of the health belief model and a television program on nutrition behavior, Proc of the Health Commun. 1998;10(3):227-45.,1998
[29] Peng W , Design and evaluation of a computer game to promote a healthy diet for young adults., Proc of the Health Commun. 2009 Mar;24(2):115-27,2009
[30] Bandura A.,SOCIAL COGNITIVE THEORY: An Agentic Perspective, J. Pers. Soc. Proc of the Annu. Rev. Psychol. 2001. 52:1–26, 2001
[31] Clark NM1, Dodge JA, Exploring self-efficacy as a predictor of disease management. Proc of the Health Educ Behav. 1999 Feb;26(1):72-89., 1999
[32] Kim D. Reynolds ,Social Cognitive Model of Fruit and Vegetable Consumption in Elementary School Children, Proc of the Journal of Nutrition Education and Behavior volume 31, Issue 1, Pages 23–30,1999
[33] Anderson E.S at al., Self-regulation, self-efficacy, outcome expectations, and social support: social cognitive theory and nutrition behavior. Proc of the Ann Behav Med. 2007 Nov-Dec;34(3):304-12.,2007
[34] D. G. Lowe, “Object recognition from local scale-invariant features,”Proc of the Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on vol. 2, pp.1150–1157, 1999.
[35] H. Bay, T. Tuytelaars, and L. Van Gool, “Surf: Speeded up robust features,”Computer Vision–ECCV 2006, pp. 404–417, 2006.
[36] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Building personal digital photograph libraries: An approach with ontology-based MPEG-7 dozen dimensional digital content architecture; Proc of the Computer Graphics International, IEEE ,pp 482 – 489, 2004.
[37] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “MPEG-7 based dozen dimensional digital content architecture for semantic image retrieval services” Proc. of e-Technology, e-Commerce and e-Service, 2004. EEE `04. 2004 IEEE International Conference on pp. 517 - 524, 2004.
[38] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture”; Proc. of Archiving Conference Society for Imaging Science and Technology pp. 188-192(5), 2005.
[39] Po-Yen Chen and Pei-Jeng Kuo, ”Archiving of Personal Digital Photograph Collections with a MPEG-7 based Geotag Related Annotation Methodology,”Proc of the Archiving 2012 Copenhagen, pp. 107-110(4), 2012.		zh_TW