A Low-Cost Head Supported Eye Tracker with High Precision

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This paper discusses a low cost head-supported eye tracker. To measure the coordinates associated with a subjects gaze point fallen on a monitor, the subject places his head on a head support and keeps his head fixed. Meanwhile, a camera is used to capture images of the subjects left or right eye. The subjects gaze point fallen on a monitor can be determined according to the relative position of the pupil and glint in an eye image. This paper presents not only the principle of this eye tracker, but also the methods used to detect the pupil and glint in an eye image. At last, this paper presents some experimental results, and the experimental results show that the maximal average error of the experimental apparatus is 15 pixels or 0.4 in degrees.

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455-460

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z. Boraston, S. J. Blakemore: The Journal of Physiology Vol. 581 (2007), p.893.

Google Scholar

[2] M. Vidal, J. Turner, A. Bulling, H. Gellersen: Computer Communications Vol. 35 (2012), p.1306.

Google Scholar

[3] A. T. Duchowski: Behavior Research Methods Vol. 34 (2002), p.455.

Google Scholar

[4] Y. Sawahata, R. Khosla, K. Komine, N. Hiruma, T. Itou, S. Watanabe, Y. Suzuki, Y. Hara, and N. Issiki: Pattern Recognition Vol. 41 (2008), p.1610.

DOI: 10.1016/j.patcog.2007.10.010

Google Scholar

[5] R. Barea, L. Boquete, S. Ortega, E. López, and J. M. Rodríguez-Ascariz: Expert Systems with Applications Vol. 39 (2012), p.2677.

DOI: 10.1016/j.eswa.2011.08.123

Google Scholar

[6] L. Ferman, H. Collewijn, T. C. Jansen, and A. V. Van den Berg: Vision Res. Vol. 127 (1987), p.811.

Google Scholar

[7] N. Edenborough, R. Hammoud, A. Harbach, A. Ingold, B. Kisacanin, P. Malawey, T. Newman, G. Scharenbroch, S. Skiver, M. Smith, A. Wilhelm, G. Witt, E. Yoder, H. Zhang: IEEE Conference on Computer Vision and Pattern Recognition Vol. 2 (2005).

DOI: 10.1109/cvpr.2005.135

Google Scholar

[8] R. I. Hammoud, A. Wilhelm, P. Malawey, G.J. Witt: IEEE Conference on Computer Vision and Pattern Recognition Vol. 2 (2005), p.1181.

Google Scholar

[9] M. B. Dillencourt, H. Samet, M. Tamminen: Journal of the Association for Computing Machinery Vol. 39 (1992), p.253.

Google Scholar

[10] F. Chang, C. J. Chen, C. J. Lu: Computer Vision and Image Understanding Vol. 193 (2004), p.206.

Google Scholar