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http://dx.doi.org/10.4218/etrij.12.0111.0193

Gaze Detection by Wearable Eye-Tracking and NIR LED-Based Head-Tracking Device Based on SVR  

Cho, Chul Woo (Department of Electronics and Electrical Engineering, Dongguk University)
Lee, Ji Woo (Department of Electronics Engineering, Dongguk University)
Shin, Kwang Yong (Department of Electronics and Electrical Engineering, Dongguk University)
Lee, Eui Chul (Division of Computer Science, Sangmyung University)
Park, Kang Ryoung (Division of Electronics and Electrical Engineering, Dongguk University)
Lee, Heekyung (Broadcasting and Telecommunications Convergence Research Laboratory, ETRI)
Cha, Jihun (Broadcasting and Telecommunications Convergence Research Laboratory, ETRI)
Publication Information
ETRI Journal / v.34, no.4, 2012 , pp. 542-552 More about this Journal
Abstract
In this paper, a gaze estimation method is proposed for use with a large-sized display at a distance. Our research has the following four novelties: this is the first study on gaze-tracking for large-sized displays and large Z (viewing) distances; our gaze-tracking accuracy is not affected by head movements since the proposed method tracks the head by using a near infrared camera and an infrared light-emitting diode; the threshold for local binarization of the pupil area is adaptively determined by using a p-tile method based on circular edge detection irrespective of the eyelid or eyelash shadows; and accurate gaze position is calculated by using two support vector regressions without complicated calibrations for the camera, display, and user's eyes, in which the gaze positions and head movements are used as feature values. The root mean square error of gaze detection is calculated as $0.79^{\circ}$ for a 30-inch screen.
Keywords
Gaze-tracking; large-sized display; support vector regression;
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  • Reference
1 A. Smola and B. Scholkopf, "A Tutorial on Support Vector Regression," Statistics Computing, vol. 14, 2004, pp. 199-222.   DOI
2 J.A. Freeman and D.M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, Reading, MA: Addison-Wesley, 1991.
3 D. Model and M. Eizenman, "User-Calibration-Free Remote Gaze Estimation System," Proc. Symp. Eye Tracking Research Appl., Mar. 2010, pp. 29-36.
4 J.S. Agustin et al., "Evaluation of a Low-Cost Open-Source Gaze Tracker," Proc. Symp. Eye Tracking Research Appl., Mar. 2010, pp. 79-80.
5 C.W. Cho et al., "A Gaze Tracking Method as an IPTV Interface," Proc. 12th ICACT, Feb. 2010, pp. 1699-1703.
6 L. Piccardi et al., "WearCam: A Head Mounted Wireless Camera for Monitoring Gaze Attention and for the Diagnosis of Developmental Disorders in Young Children," Proc. 16th IEEE Int. Symp. Robot Human Interactive Commun., Aug. 2007, pp. 594-598.
7 H. Yamazoe et al., "Remote Gaze Estimation with a Single Camera Based on Facial-Feature Tracking without Special Calibration Actions," Proc. Symp. Eye Tracking Research Appl., Mar. 2008, pp. 245-250.
8 Z. Zhu and Q. Ji, "Eye and Gaze Tracking for Interactive Graphic Display," Mach. Vision Appl., vol. 15, no. 3, 2004, pp. 139-148.
9 EyeTech (VT1), http://www.eyetechaac.com (accessed on Dec. 28, 2011).
10 http://www.logitech.com (accessed on Dec. 28, 2011).
11 J.W. Lee et al., "3D Gaze Tracking Method Using Purkinje Images on Eye Optical Model and Pupil," Optics Lasers Engineering, vol. 50, no. 5, 2012, pp. 736-751.   DOI   ScienceOn
12 A. Vogel et al., "Optical Properties of Human Sclera, and Their Consequences for Transscleral Laser Applications," Lasers Surg. Med. vol. 11, no. 4, 1991, pp. 331-340.   DOI   ScienceOn
13 E.V. Koblova et al., "Estimation of Melanin Content in Iris of Human Eye," Proc. SPIE, vol. 5688, 2005, pp. 302-311.
14 P. Magnan, "Detection of Visible Photons in CCD and CMOS : A Comparative View," Nuclear Instruments Methods Physics Research Section A: Accelerators, Spectrometers, Detectors, Associated Equipment, vol. 504, no. 1, May 2003, pp. 199-212.   DOI
15 M. Yamato et al., "Quick Button Selection with Eye Gazing for General GUI Environments," Proc. Int. Conf. Software: Theory Practice, Chinese Institute Electron., China Computer Federation, China Institute Commun., 2000, pp.712-719.
16 D.H. Yoo and M.J. Chung, "Non-intrusive Eye Gaze Estimation without Knowledge of Eye Pose," Proc. 6th IEEE Int. Conf. Autom. Face Gesture Recognition, 2004, pp. 785-790.
17 J. Zhu and J. Yang, "Subpixel Eye Gaze Tracking," Proc. 5th IEEE Int. Conf. Autom. Face Gesture Recognition, May 2002, pp. 124-129.
18 D.S. Jeong et al., "A New Iris Segmentation Method for Non-ideal Iris Images," Image Vision Computing, vol. 28, no. 2, Feb. 2010, pp. 254-260.   DOI   ScienceOn
19 J.G. Daugman, "How Iris Recognition Works," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, 2004, pp. 21-30.   DOI   ScienceOn
20 R.C. Gonzalez and R.E. Woods, Digital Image Processing, 2nd ed., Englewood Cliffs, NJ: Prentice-Hall, 2002.
21 J.B. Eskridge et al., "The Hirschberg Test: A Double-Masked Clinical Evaluation," American J. Optometry Physiological Optics, vol. 65, no. 9, Sept. 1988, pp. 745-750.   DOI
22 H. Drucker et al., "Support Vector Regression Machines," Advances Neural Inf. Process. Syst., vol. 9, 1996, pp. 155-161.
23 D.H. Yoo and M.J. Chung, "A Novel Non-intrusive Eye Gaze Estimation Using Cross-Ratio Under Large Head Motion," Computer Vision Image Understanding, vol. 98, no. 1, Apr. 2005, pp. 25-51.   DOI   ScienceOn
24 J.G. Wang and E. Sung, "Study on Eye Gaze Estimation," IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 32, no. 3, 2002, pp. 332-350.   DOI   ScienceOn
25 P. Chaudhuri, G. Papagiannakis, and N. Magnenat-Thalmann, "Camera-Based Gaze Control for Virtual Characters," Proc. 4th Int. Conf. Enactive Interfaces, Nov. 2007.
26 S.W. Shih and J. Liu, "A Novel Approach to 3-D Gaze Tracking Using Stereo Cameras," IEEE Trans. Systems, Man, Cybernetics--Part B: Cybernetics, vol. 34, no. 1, Feb. 2004, pp. 234-245.   DOI   ScienceOn
27 E. Murphy-Chutorian et al., "Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation," Proc. IEEE ITSC, 2007, pp. 709-714.
28 E.C. Lee and K.R. Park, "3D First Person Shooting Game by Using Eye Gaze Tracking," J. Korea Inf. Process. Society, vol. 12-B, no. 4, Aug. 2005, pp. 465-472 (in Korean).
29 E.C. Lee and K.R. Park, "A Study on Eye Gaze Estimation Method Based on Cornea Model of Human Eye," Lecture Notes Computer Science (MIRAGE 2007), vol. 4418, 2007, pp. 307-317.
30 E.C. Lee and K.R. Park, "A Robust Eye Gaze Tracking Method Based on Virtual Eyeball Model," Mach. Vision Appl., vol. 20, no. 5, 2009, pp. 319-337.   DOI   ScienceOn
31 C.W. Cho et al., "Robust Gaze-Tracking Method by Using Frontal-Viewing and Eye-Tracking Cameras," Optical Engineering, vol. 48, no. 12, Dec. 2009, 127202.   DOI   ScienceOn
32 Y.J. Ko, E.C. Lee, and K.R. Park, "A Robust Gaze Detection Method by Compensating for Facial Movements Based on Corneal Specularities," Pattern Recognition Lett., vol. 29, no. 10, July 2008, pp. 1474-1485.   DOI   ScienceOn
33 J.W. Bang, E.C. Lee, and K.R. Park, "New Computer Interface Combining Gaze Tracking and Brainwave Measurements," IEEE Trans. Consum. Electron., vol. 57, no. 4, Nov. 2011, pp. 1646-1651.   DOI