跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.82) 您好!臺灣時間:2025/02/18 23:46
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:江偉凌
研究生(外文):Jiang, Wei-Ling
論文名稱:使用眼電位法設計眼動偵測系統與其人機介面之應用
論文名稱(外文):Design of eye movement detection system based on electrooculography signals and their human-computer interaction applications
指導教授:林進燈林進燈引用關係
指導教授(外文):Lin, Chin-Teng
學位類別:碩士
校院名稱:國立交通大學
系所名稱:影像與生醫光電研究所
學門:工程學門
學類:生醫工程學類
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:70
中文關鍵詞:人機互動介面眼電位法眼動偵測掃視凝視眨眼
外文關鍵詞:Human-Computer InterfaceElectrooculographyEye Movement DetectionFixationSaccadBlink
相關次數:
  • 被引用被引用:0
  • 點閱點閱:397
  • 評分評分:
  • 下載下載:11
  • 收藏至我的研究室書目清單書目收藏:0
近年來對於重症患者的需求越來越受到重視,在人機互動介面(Human-Computer Interface, HCI)的研究領域當中如何幫助重症患者有效的與外界進行溝通一直是個重要的議題,其中在人機介面的研究當中,眼睛的移動是個相當重要的特徵。使用者可以藉由控制個人眼睛的移動來做為系統的控制訊號。然而在相關領域的研究當中,由於受限演算法的複雜度以及硬體上的限制。甚少有研究提出大眾化的設計並且考慮到在現實生活當中的可行性。因此為了解決上述所提及之限制,我們提出了一個人機介面系統嘗試去改善重症患者之生活,與此同時也著眼於此系統作用於一般使用者的可行性。
此研究根據眼電位法(Electrooculography, EOG)為理論基礎,達成高準確率的眼動偵測,進而應用於人機介面系統。本研究主要成果有三: (1) 高準確率的眼動行為偵測,其包含了眼睛的掃視、凝視以及眨眼。其中在掃視偵測當中提供了多達十種不同方向,不同視角的狀態辨識。(2)結合乾式電極,提供使用者更方便、更舒適的使用介面。(3)基於眼動偵測,設計出一套眼動撥號系統。驗證了眼電位法在人機介面上的可行性與可靠性。

In assistive research area, human-computer interface (HCI) technology is used to help disable people by conveying their intention and thinking to the outside world. Many HCI systems based on eye movement have been proposed to assistive disable people. However, due to the complexity of algorithm and difficulty of hardware implementation, there are rare general purpose designs considering the practicality and stability in real-life. Therefore, to solve these limitations and problems, a HCI system based on electrooculography (EOG) is proposed in this study. The proposed classification algorithm provides the eye state detection including fixation, saccade and blink. Moreover, in saccade detection, this algorithm can distinguish ten kind of saccade movements (i.e., up, down, left, right, much left, much right, up-left, down-left, up-right and down-right). In addition, we development a HCI system based on eye movement classification algorithm. This system provides an eye-dialing interface that can be facilitated to improve the life of disable people. The significant results are achieved that proved the performance of the proposed classification algorithm. Moreover, the EOG-based system, which can detect ten different eye movement features, is potential to be performed in real-life applications.
摘 要 1
Abstract II
誌 謝 III
Contents IV
Tables VI
Figures VII
Chapter 1 Introduction 1
1.1 EYE MOVEMENT 1
1.2 EYE MOVEMENT DETECTION METHODS 4
Infrared Oculography (IROG) 4
Search Eye Coil (SC) 5
Video/Image Methods 6
1.3 EYE TRACKING METHOD BASED ON EOG 6
1.4 HCI SYSTEMS BASED ON EOG 8
1.5 MOTIVATION 9
1.6 ORGANIZATION OF THESIS 12
Chapter 2 System Architecture 13
2.1 SYSTEM OVERVIEW 13
2.2 EOG SIGNAL ACQUISITION DEVICE 14
2.2.1 Front-End Filter Circuit 15
2.2.1.1 Preamplifier 16
2.2.1.2 High Pass Filter 17
2.2.2 Micro Controller Unit and Firmware Design 18
2.2.2.1 Timer Interrupt 19
2.2.2.2 Analog to Digital Converter 20
2.2.2.3 Moving Average 23
2.2.2.4 UART Interface 26
2.2.3 Power Management 27
2.2.3.1. Power Supply Circuit 27
2.2.3.2 Charging Circuit 28
2.2.4 Wireless Transmission 29
2.2.5 Device Specification 30
2.3 SOFTWARE ALGORITHM DESIGN 31
2.3.1. Target Types of Eye Movement Detection 32
2.3.2 Variation Problem and Electrode Placement 33
2.3.3 Algorithm 34
2.3.3.1 Individual Parameter Calibration 34
2.3.3.2 Signal Preprocessing 37
2.3.3.3 Feature extraction 40
2.3.3.4 Classifier 41
2.4 HUMAN –COMPUTER INTERFACE 45
Chapter 3 Experiments 48
3.1 EXPERIMENT GOALS 48
3.2 EXPERIMENT ENVIRONMENT 49
3.3 EXPERIMENT PROCEDURE 50
Experiment 1 50
Experiment 2 52
Chapter 4 Results and Discussions 53
4.1- 4 TYPES EYE MOVEMENT SESSION WITH AG/AGCL ELECTRODES 53
4.2- 6 TYPES EYE MOVEMENT SESSION WITH AG/AGCL ELECTRODES 54
4.3- 10 TYPES EYE MOVEMENT SESSION WITH AG/AGCL ELECTRODES 56
4.4 -10 TYPES EYE MOVEMENT SESSION WITH FOAM SENSORS 58
4.5 PHONE DIALING EXPERIMENT 60
4.6 DISCUSSIONS 60
Chapter 5 Conclusions and Future Works 65
References 67
[1] "Retina Australia Victoria-ANATOMY OF THE EYE. [Online]. Available : http://www.retinavic.org.au/eyeanatomy.html."
[2] "Anatomy, Physiology & Pathology of the Human Eye-The Extraocular Muscles . [Online]. Available : http://www.tedmontgomery.com/the_eye/index.html."
[3] N. R. Carlson., W. Buskist., C. D. Heth., and R. Schmaltz., Psychology: The Science of Behaviour, Fourth Canadian Edition with MyPsychLab, 4/E, 2010.
[4] C. N. Karson, K. F. Berman, E. F. Donnelly, W. B. Mendelson, J. E. Kleinman, and R. J. Wyatt, "Speaking, thinking, and blinking," Psychiatry Research, vol. 5, pp. 243-246, 1981.
[5] R. Schleicher, N. Galley, S. Briest, and L. Galley, "Blinks and saccades as indicators of fatigue in sleepiness warnings: Looking tired?," Ergonomics, vol. 51, pp. 982-1010, 2008.
[6] H. R. Schiffman, Sensation and perception: an integrated approach, 5th ed: Wiley, 2001.
[7] B. R. Manor and E. Gordon, "Defining the temporal threshold for ocular fixation in free-viewing visuocognitive tasks," Journal of Neuroscience Methods, vol. 128, pp. 85-93, 2003.
[8] A. Kumar and G. Krol, "Binocular infrared oculography," The Laryngoscope, vol. 102, pp. 367-378, 1992.
[9] D. A. Robinson, "A Method of Measuring Eye Movemnent Using a Scieral Search Coil in a Magnetic Field," Bio-medical Electronics, IEEE Transactions on, vol. 10, pp. 137-145, 1963.
[10] R. V. Kenyon, "A soft contact lens search coil for measuring eye movements," Vision Research, vol. 25, pp. 1629-1633, 1985.
[11] "Chronos Vision-scleral search coil. [Online]. Available :http://www.chronos-vision.de/en/eye-tracking-products.html."
[12] C.-S. Lin, C.-C. Huan, C.-N. Chan, M.-S. Yeh, and C.-C. Chiu, "Design of a computer game using an eye-tracking device for eye's activity rehabilitation," Optics and Lasers in Engineering, vol. 42, pp. 91-108, 2004.
[13] Z. Zhiwei and J. Qiang, "Eye gaze tracking under natural head movements," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, pp. 918-923 vol. 1.
[14] H. D. Crane and C. M. Steele, "GENERATION-V DUAL-PURKINJE-IMAGE EYETRACKER," Applied Optics, vol. 24, pp. 527-537, 1985.
[15] A. Geetha, V. Ramalingam, S. Palanivel, and B. Palaniappan, "Facial expression recognition – A real time approach," Expert Systems with Applications, vol. 36, pp. 303-308, 2009.
[16] M. Marmor, A. Fulton, G. Holder, Y. Miyake, M. Brigell, M. Bach, and For, "ISCEV Standard for full-field clinical electroretinography (2008 update)," Documenta Ophthalmologica.
[17] R. Barea, L. Boquete, S. Ortega, E. López, and J. M. Rodríguez-Ascariz, "EOG-based eye movements codification for human computer interaction," Expert Systems with Applications, vol. 39, pp. 2677-2683, 2012.
[18] J. Canny, "The Future of Human-Computer Interaction," Queue, vol. 4, pp. 24-32, 2006.
[19] S. Gamm, R. Haeb-Umbach, and D. Langmann, "The development of a command-based speech interface for a telephone answering machine," Speech Communication, vol. 23, pp. 161-171, 1997.
[20] C. A. F. Jorge, A. C. A. Mól, C. M. N. A. Pereira, M. A. C. Aghina, and D. V. Nomiya, "Human-system interface based on speech recognition: application to a virtual nuclear power plant control desk," Progress in Nuclear Energy, vol. 52, pp. 379-386, 2010.
[21] S. Funck, "Video-Based Handsign Recognition for Intuitive Human-Computer-Interaction," presented at the Proceedings of the 24th DAGM Symposium on Pattern Recognition, 2002.
[22] S. Mitra and T. Acharya, "Gesture Recognition: A Survey," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, pp. 311-324, 2007.
[23] F. Loewenich and F. D. Maire, "Motion-tracking and speech recognition for hands-free mouse-pointer Manipulation," in Speech Recognition, F. Mihelic and J. Zibert, Eds., ed: IN-TECH, 2008, pp. 427-434.
[24] D. G. Evans, R. Drew, and P. Blenkhorn, "Controlling mouse pointer position using an infrared head-operated joystick," Rehabilitation Engineering, IEEE Transactions on, vol. 8, pp. 107-117, 2000.
[25] W. Chung-Min, H. Ke-Guei, C. Shei-Hsi, H. Shu-Ching, and L. Ching-Ling, "EOG single switch morse code translate input device for individuals with the motor neuron disease," in TENCON 2007 - 2007 IEEE Region 10 Conference, 2007, pp. 1-4.
[26] A. B. Usakli and S. Gurkan, "Design of a Novel Efficient Human–Computer Interface: An Electrooculagram Based Virtual Keyboard," Instrumentation and Measurement, IEEE Transactions on, vol. 59, pp. 2099-2108, 2010.



[27] H. S. Dhillon, R. Singla, N. S. Rekhi, and R. Jha, "EOG and EMG based virtual keyboard: A brain-computer interface," in Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on, 2009, pp. 259-262.
[28] H. Septanto, A. S. Prihatmanto, and A. Indrayanto, "A computer cursor controlled by eye movements and voluntary eye winks using a single channel EOG," in Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on, 2009, pp. 117-120.
[29] L. Lian and W. XiaoPei, "Design and Implementation of Multimedia Control System Based on Bluetooth and Electrooculogram (EOG)," in Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on, 2011, pp. 1-4.
[30] M. Duvinage, T. Castermans, and T. Dutoit, "Control of a lower limb active prosthesis with eye movement sequences," in Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on, 2011, pp. 1-7.
[31] S. Yathunanthan, L. U. R. Chandrasena, A. Umakanthan, V. Vasuki, and S. R. Munasinghe, "Controlling a Wheelchair by Use of EOG Signal," in Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on, 2008, pp. 283-288.
[32] A. Bulling, J. A. Ward, H. Gellersen, Tro, x, and G. ster, "Eye Movement Analysis for Activity Recognition Using Electrooculography," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 33, pp. 741-753, 2011.
[33] A. Bulling, J. A. Ward, H. Gellersen, and G. Tröster, "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography," in Pervasive, 2008, pp. 19-37.
[34] A. Bulling, D. Roggen, G. Tr, #246, and ster, "Wearable EOG goggles: eye-based interaction in everyday environments," presented at the Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, Boston, MA, USA, 2009.
[35] M. Vidal, J. Turner, A. Bulling, and H. Gellersen, "Wearable eye tracking for mental health monitoring," Computer Communications, vol. 35, pp. 1306-1311, 2012.
[36] E. Iáñez, J. M. Azorín, E. Fernández, and A. Úbeda, "Interface based on electrooculography for velocity control of a robot arm," Applied Bionics and Biomechanics, vol. 7, pp. 199-207, 2010.
[37] E. Cinar and F. Sahin, "EOG controlled mobile robot using Radial Basis Function Networks," in Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on, 2009, pp. 1-4.
[38] C. Yingxi and W. S. Newman, "A human-robot interface based on electrooculography," in Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on, 2004, pp. 243-248 Vol.1.
[39] A. Ubeda, Ia, x00F, E. ez, and J. M. Azorin, "Wireless and Portable EOG-Based Interface for Assisting Disabled People," Mechatronics, IEEE/ASME Transactions on, vol. 16, pp. 870-873, 2011.
[40] W. S. Wijesoma, W. Kang Say, W. Ong Choon, A. P. Balasuriya, S. Koh Tong, and S. Low Kay, "EOG based control of mobile assistive platforms for the severely disabled," in Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on, 2005, pp. 490-494.
[41] R. Sharma, V. I. Pavlovic, and T. S. Huang, "Toward multimodal human-computer interface," Proceedings of the IEEE, vol. 86, pp. 853-869, 1998.



連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top