Abstract
This paper describes real-time daylight based eye gaze tracking system. Proposed solution consists of two video cameras, infrared markers and few electronic components. Usage of popular webcams makes the system inexpensive. In dual camera system one camera is used for pupil tracking while second one controls position of the head relative to the screen. Two detection algorithms have been developed and implemented – pupil detection and the screen position detection. Proposed solution is an attempt to create an interface for handicapped users which they could use instead of mouse or keyboard.
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References
Rebsamen, B., Teo, C.L., Zeng, Q., Ang Jr., M.: Controlling a wheelchair indoors using thought. In: IEEE Intelligent Systems, pp. 18–24 (2007)
Chin, C.A.: Enhanced hybrid electromyogram / eye gaze tracking cursor control system for hands-free computer interaction. In: Proc. 28th IEEE EMBS Annual Intern. Conference, New York City, pp. 2296–2299 (2006)
Kierkels, J., Riani, J., Bergmans, J.: Using an eye tracker for accurate eye movement artifact correction. IEEE Transactions on Biomedical Engineering 54(7), 1257–1267 (2007)
Wang, Q., Yang, W., Wang, H., Guo, Z., Yang, J.: Eye location in face images for driver fatigue monitoring. In: Proc. 6th Intern. Conference on ITS Telecommunications, pp. 322–325 (2006)
Xiong, L., Zheng, N., You, Q., Liu, J., Du, S.: Eye synthesis using the eye curve model. In: Proc 19th IEEE Intern. Conference on Tools with Artificial Intelligence, pp. 531–534 (2007)
Kaufman, E., Bandopadhay, A., Shaviv, B.D.: An eye tracking computer user interface. In: Proc. Research Frontier in Virtual Reality Workshop, vol. (10), pp. 78–84. IEEE Computer Society Press, Los Alamitos (1993)
Hyoki, K., Shigeta, M., Ustno, N., Kawamuro, N.Y., Kinoshita, T.: Quantitative electro-oculography and electroencephalography as indices of alertness. Electroencephalography and Clinical Neurophysiology 106(3), 213–219 (1998)
Kocejko, T.: Device which will allow people suffered with lateral amyotrophic sclerosis to communicate with environment. MSc-thesis, University of Technology, Gdańsk, Poland (2008)
Myers, G.A., Sherman, K.R., Stark, L.: Eye monitor. IEEE Computer Magazine 3, 14–21 (1991)
Collet, C., Finkel, A., Gherbi, R.: A gaze tracking system in man-machine interaction. In: Proc. IEEE Intern. Conference on Intelligent Engineering Systems, vol. (9) (1997)
Hu, B., Qiu, M.: A new method for human-computer interaction by using eye-gaze. In: Proc. IEEE Intern. Conference on Systems, Man and Cybernetics, vol. (10) (1994)
Ma, Y., Ding, X., Wang, Z., Wang, N.: Robust precise eye location under probabilistic Famework. In: Proc. 6th IEEE Intern. Conference on Automatic Face and Gesture Recognition (2004)
Zhu, Z., Ji, Q.: Novel eye gaze tracking techniques under natural head movement. IEEE Transaction on Biomedical Engineering 54(12), 2246–2260 (2007)
Miyazaki, S., Takano, H., Makamura, K.: Suitable checkpoints of features surrounding the eye for eye tracking using template matching. In: Proc. SICE Annual Conference, Kagawa University, Japan, pp. 356–360 (2007)
Ebisawa, Y.: Improved video-based eye-gaze detection method. In: Proc. IEEE IMTC 1998 Conference, Hamatsu, Japan (1998)
Hutchinson, T.E., White Jr., K.P., Martin, W.R., Reichert, K.C., Frey, L.A.: Human-computer interaction using eye-gaze input. IEEE Transactions on Systems, Man and Cybernetics 19(6), 1527–1534 (1998)
Ballard, P., Stockman, G.C.: Computer operation via face orientation. In: Proc. 11th IAPR International Conference on Pattern Recognition. Conference A: Computer Vision and Applications, vol. 1, pp. 407–410 (1992)
Gee, H., Clipolla, R.: Determining the gaze of faces in images. Technical report CUED/FINFENG/TR 174, University of Cambridge, UK (1994)
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Kocejko, T., Bujnowski, A., Wtorek, J. (2009). Eye-Mouse for Disabled. In: Hippe, Z.S., Kulikowski, J.L. (eds) Human-Computer Systems Interaction. Advances in Intelligent and Soft Computing, vol 60. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03202-8_9
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DOI: https://doi.org/10.1007/978-3-642-03202-8_9
Publisher Name: Springer, Berlin, Heidelberg
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