研究生: |
林雋益 Lin, Chun-Yi |
---|---|
論文名稱: |
具頭動補償之高速可見光眼動儀 High Speed Visible Light Gaze Tracking System with Head Motion Compensation |
指導教授: |
高文忠
Kao, Wen-Chung |
學位類別: |
碩士 Master |
系所名稱: |
電機工程學系 Department of Electrical Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 97 |
中文關鍵詞: | 可見光眼動儀 、高速 |
DOI URL: | https://doi.org/10.6345/NTNU202204377 |
論文種類: | 學術論文 |
相關次數: | 點閱:156 下載:13 |
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隨著科技的進步越來越重視使用者體驗,人們可透過眼動儀觀察眼睛凝視位置,了解整個視覺歷程與行為脈絡,以更貼近使用者真實感受與體驗。眼動儀的應用範圍包括3C產品、數位廣告及醫療生技。目前市面上的眼動儀是以紅外線光源達到眼睛視線的追蹤,然而長時間的紅外線照射會對眼睛帶來相當大的傷害。因此,近來有許多研究開始專研如何利用自然光源以取代紅外線照射對眼球的不良影響。
本研究目的是強調利用自然光源照射原理達到眼睛視線的追蹤。這款眼動儀系統主要是架構在外觀法的基礎上並強化其模型匹配的精準度,同時也使用形狀法加強模型建立的穩健性。此外,本研究成功導入頭部移動補償,有效彌補外觀法的缺點。在系統速度上,則加入粒子群聚演算法提升系統的運作速度。因此,本研究開發的眼動儀系統精準度高達1.17度,系統的處理速度為每秒250個畫面。
Due to the advancement of technology, eye trackers are used to help us understand human behavior and improve overall user experience. The gaze tracking systems are used in wide range of applications such as electronic devices, digital advertising, and medical biotechnology. Most gaze tracking systems use an infrared light source to track gaze positions, however, long hours of infrared light exposure may cause eye hurt. As a result, recent researches are focusing on how to replace infrared light source with visible light.
The aim of this research is to develop gaze tracking systems which use visible light to track user’s gaze positions. This gaze tracking system adopts appearance-based method to improve the accuracy of iris recognition. In addition, we use shape-based method for head movement compensation which not only enhances the robustness but also increases the accuracy of gaze tracking systems. Besides, the particle swarm optimization is applied to gaze tracking systems to reduce the processing time. Therefore, our system can achieve 1.17 high degree of accuracy and quick processing speed of 250 frames per second
[1] K. N. Kim and R. S. Ramakrishna, “Vision-based eye-gaze tracking for human computer interface,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, vol. 2, pp. 324–329, Oct. 1999.
[2] J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, Nov. 1986.
[3] J. Zhu and J. Yang, “Subpixel Eye Gaze Tracking,” in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 131-136, May 2002.
[4] I. Sobel and G. Feldman, “A 3x3 isotropic gradient operator for image processing,” presented at the Stanford Artificial Project in, 1968.
[5] R. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 29, no. 6, pp. 1153-1160, Dec. 1981.
[6] T. Moriyama, T. Kanade, J. Xiao, and J.F. Cohn, “Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 738-752, May 2006.
[7] S. J. Baek, K. A. Choi, C. Ma, Y. H. Kim, and S. J. Ko, “Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems,” IEEE Trans. Consumer Electron., vol. 59, no. 2, pp. 415-421, May 2013.
[8] J. Sigut and S.-A. Sidha, “Iris center corneal reflection method for gaze tracking using visible light,” IEEE Trans. Biomedical Eng., vol. 58, no. 2, pp. 411-419, Feb. 2011.
[9] H. Lee, N. Iqbal, W. Chang, and S. Y. Lee, “A calibration method for eye-gaze estimation systems based on 3D geometrical optics,” IEEE Sensors J., vol. 13, no. 9, pp. 3219–3225, Jun. 2013.
[10] C. H. Marimnoto, et. al. ”Keeping an Eye for HCI,” in Proc. IEEE Symp. on Computer Graphics and Image Processing, pp.171-176, Oct. 1999.
[11] J. G. Wang, E. Sung and R. Venkateswarlu, “Estimating the eye gaze from one eye,” Computer Vision and Image Understanding, vol. 98, no. 1, pp. 83-103, Apr. 2005.
[12] J. Kennedy, “Particle swarm optimization,” in Proc. IEEE Int. Conf. Neural Networks, vol. 4, pp. 1942-1948, Dec 1995.
[13] C. Y. Lee, “Gaze Tracking with Particle Swarm Optimization,” M.S. thesis, Dept. Electron. Eng., Nat. Taiwan Normal Univ., Taipei, Taiwan, 2015.
[14] W. C. Kao, et al., "Gaze tracking with particle swarm optimization," Int. Symp. on Consumer Electronics, pp. 1-2, Jun. 2015.
[15] C. W. Chang, “The effects of graphemic and phonetic cues in text reading : Evidence from eye movements”, M.S. thesis, Graduate Institute of Learning and Instruction, Nat. Central Univ., Taoyuan, Taiwan, 2005.
[16] S. Suzuki, “Topological structural analysis of digitized binary Images by border following,” Computer Vision, Graphics, and Image Processing, vol. 30, no. 1, pp. 32-46, Apr. 1985.
[17] F. Meyer, “Color image segmentation,” Int. Conf. Image Processing and its Applications, pp. 303-306, 1992.
[18] P. R. Reddy, V. Amarnadh and M. Bhaskar, “Evaluation of stopping criterion in contour tracing algorithms,” Int. J. of Computer Sci. and Inform. Technologies, vol. 3, no. 3, pp. 3888-3894, 2012.
[19] D. W. Hansen, Q. Ji, “In the eye of the beholder: a survey of models for eyes and gaze,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 478-500, Feb. 2009.