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研究生:顏威嘉
研究生(外文):Yen, Wei Chia
論文名稱:低成本電子白板之實作與應用
論文名稱(外文):Implementation Of A Low Cost Interactive Whiteboard
指導教授:黃國勝黃國勝引用關係
指導教授(外文):Hwang, Kao-Shing
口試委員:林金玲蘇暉凱陳昱仁
口試委員(外文):Lin, Jin LingSu, Hui KaiChen Yu Jen
口試日期:2012-07-20
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:85
中文關鍵詞:電子白板Microsoft Kinect平板電腦電腦視覺
外文關鍵詞:interactive whiteboardMicrosoft KinectTablet PCvision processing
相關次數:
  • 被引用被引用:3
  • 點閱點閱:496
  • 評分評分:
  • 下載下載:3
  • 收藏至我的研究室書目清單書目收藏:2
教育扮演一個人一生中不可或缺的角色。在學習的過程中,往往因為傳統板書教學方式而被束縛。老師在台上講課,學生在台下抄筆記的單向教學模式因為電子白板的普及而進步。但是電子白板高昂的價錢讓許多偏遠地區的學校無法使用,漸而影響小朋友的學習品質。
本論文針對傳統板書與高價的電子白板所遇到的問題設計了一套電子白板系統。本系統利用Microsoft Kinect體感器來偵測手寫筆,並經過校正及運算後,再透過UDP無線傳輸架構傳送座標資料至主機。主機會將這些資料進行平滑處理後模擬成滑鼠操作,使電子白板系統操作起來能更平易近人。另外,本系統可無線廣播白板內容至時下最熱門的平板電腦,使學生不再會因看不清楚白板內容而降低學習效果。
Education is one of the most important parts of one’s life. A person dedicates most of their youth in education by going to schools and universities. Traditional teaching method of teachers using a whiteboard and marker pen to lecture can be inconvenient for many reasons, resulting ineffective learning experiences.
An interactive whiteboard enhances the learning experience. With features such as touch interface and annotation, learning can be creative and effective at the same time. With commercial interactive whiteboard costing a fortune, schools in rural and remote regions may not be able to afford them.
The objective of this thesis is to present not only an affordable interactive whiteboard, but also its integration with handheld devices to achieve tele-presentation. The proposed method uses Microsoft Kinects for pen detection and wireless technology to display handwriting tracks onto handheld devices for further interactions. Techniques dedicated to perform noise filtering and line smoothening has been applied to the system to ensure its performance and accuracy.
1. Introduction 1
1.1 Motivation 1
1.2 Research Objective 2
1.3 Organization of the Thesis 2
2. Surveys and Related Researches 4
2.1 Hardware Surveys 4
2.1.1 Sensory Hardware 4
2.1.2 Computing Hardware 10
2.2 Software Surveys 12
2.2.1 Operating Systems 12
2.2.2 Microsoft Kinect Drivers 13
2.2.3 Computer Vision Libraries 14
2.3 Similar Works 14
3. System Analysis 18
3.1 System Architecture 18
3.2 System Analysis 19
3.2.1 Five Ws One H 19
3.2.2 Functional and Non-functional Requirements 21
3.2.3 Use Case Analysis 22
3.2.4 Analysis Model 25
4. Hardware Implementation 29
4.1 Whiteboard Information and Configuration 29
4.2 Dynamixel RX-28 Actuator 30
4.3 Mounting Kinect 30
4.4 Stylus 31
4.4.1 Bluetooth and Microcontrollers 32
4.5 Processing Computer 33
4.6 Coordinate Transformation 33
5. Software Implementation 40
5.1 Development Environment 40
5.2 Software Architecture 40
5.2.1 Motor Control 41
5.2.2 Communication 42
5.2.3 Vision Processing 43
5.2.3.1 Noise Filter 46
5.2.3.2 Color Detection 53
5.2.4 Interactive Whiteboard Server 56
5.2.4.1 Line Smoothing 61
5.2.4.2 Mouse Actions 63
5.2.4.3 Annotation 65
5.2.5 Interactive Whiteboard Screen Calibration Tool 66
5.2.6 Tele-presentation via Tablet PC 68
6. Conclusion 69
6.1 Conclusion 69
6.2 Future Work 70
References 72
Appendix A 75
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[7]Khoshelham, K. and O. Elberink, S.J.,“Accuracy and resolution of Kinect depth data for indoor mapping applications,” Journals on the science and technology of sensors and biosensors : open access, 12 (2012)2 pp. 1437-1454
[8]D. Herrera Castro, J. Kannala, and J. Heikkilä , “Accurate and Practical Calibration of a Depth and Color Camera Pair,” International Conference on Computer Analysis of Images and Patterns, 2011
[9]Freedman, B., Shpunt, A., Machline, M., Arieli, Y., 2010. “Depth mapping using projected patterns.” Prime Sense Ltd, United States.
[10]Pandaboard Official Website, Retrieved July 25, 2012, from http://www.pandaboard.org/
[11]Kinect Performance on PandaBoard and BeagleBoard-xM, Retrieved July 25, 2012, from http://tirokartblog.wordpress.com/2011/03/25/kinect-performance-on-pandaboard-and-beagleboard-xm/
[12]Freenect Official Website, Retrieved July 25, 2012, from http://openkinect.org/wiki/Main_Page
[13]OpenNI Official Website, Retrieved July 25, 2012, from http://75.98.78.94/
[14]“Wii Whiteboard,” Johnny Chung Lee, http://johnnylee.net/projects/wii/
[15]“Buying Mirrors,” Dulles Glass & Mirrors http://www.dullesglassandmirror.com/beveled-mirror.asp
[16]H. Guo, J. Ma, Q. Zhou, S. Zhang, X. Lin, X. Cheng , “Indirect Real-Time Measurement of the Penpoint in an interactive Projector-camera system,” IST 2009 - International Workshop on Imaging Systems and Techniques, Shenzhen, China, May 11-12, 2009.
[17]Wii Whiteboard Purchase, Wii Teachers, Retrieved July 25, 2012, from htt://www.wiiteachers.com
[18]Dynamixel RX-28 User Manual v1.10, Dynamixel.
[19]Y. Mingqiang, K. Kidiyo, R. Joseph, “A survey of shape feature extraction techniques," Pattern Recognition, Peng-Yeng Yin (Ed.) (2008) 43-90”
[20]E. M. Arkin, L. P. Chew, Daniel P. Huttenlocher, K. Kedem, J. S. B. Mitchell, “An Efficiently Computable Metric for Comparing Polygonal Shapes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL 13, No. 3, March 1991
[21]Remco C. Veltkamp, “Shape Matching: Similarity Measures and Algorithms,” UU-CS-2001-03, January 2001.
[22]Simple Regression Model, Retrieved July 25, 2012, from http://home.educities.edu.tw/rebecca0924/stat/regression/index.html
[23]Smoothboard, Retrieved July 25, 2012, from http://www.smoothboard.net/faq
[24]Microsoft Robotics, Kinect Sensors, Retrieved July 25, 2012, from http://msdn.microsoft.com/en-us/library/hh438998.aspx
[25]Wikipedia, words per minute, Retrieved July 25, 2012, from http://en.wikipedia.org/wiki/Words_per_minute#cite_note-multiple-2
[26]EcLife, Actuator Prices, Retrieved August 4, 2012, from http://www.eclife.com.tw/led/0703300039/0503300102/0503300212/
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