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Applied Optics

Applied Optics


  • Vol. 44, Iss. 5 — Feb. 10, 2005
  • pp: 693–700

Eye-tracking architecture for biometrics and remote monitoring

Ashit Talukder, John-Michael Morookian, Steve Monacos, Raymond Lam, Clayton LeBaw, and James L. Lambert  »View Author Affiliations

Applied Optics, Vol. 44, Issue 5, pp. 693-700 (2005)

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Eye tracking is one of the latest technologies that has shown potential in several areas, including biometrics; human–computer interactions for people with and without disabilities; and noninvasive monitoring, detection, and even diagnosis of physiological and neurological problems in individuals. Current noninvasive eye-tracking methods achieve a 30-Hz rate with a low accuracy in gaze estimation, which is insufficient for many applications. We propose a new noninvasive optical eye-tracking system that is capable of operating at speeds as high as 6–12 kHz. A new CCD video camera and hardware architecture are used, and a novel fast algorithm leverages specific features of the input CCD camera to yield a real-time eye-tracking system. A field-programmable gate array is used to control the CCD camera and to execute the operations. Initial results show the excellent performance of our system under severe head-motion and low-contrast conditions.

© 2005 Optical Society of America

Original Manuscript: June 7, 2004
Revised Manuscript: October 20, 2004
Manuscript Accepted: October 20, 2004
Published: February 10, 2005

Ashit Talukder, John-Michael Morookian, Steve Monacos, Raymond Lam, Clayton LeBaw, and James L. Lambert, "Eye-tracking architecture for biometrics and remote monitoring," Appl. Opt. 44, 693-700 (2005)

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  1. L. Rabiner, B.-H. Juang, Fundamentals of Speech Recognition (Prentice-Hall, N.J., 1993).
  2. G. Yang, T. S. Huang, “Human face detection in a complex background,” Pattern Recogn. 27, 53–63 (1994). [CrossRef]
  3. A. Talukder, D. Casasent, “Adaptive activation function neural net for face recognition,” in Proceedings of IEEE International Joint Conference on Neural Networks (Institute of Electrical and Electronics Engineers, New York, 2001), pp. 549–552.
  4. Y. Tian, T. Kanade, J. Cohn, “Recognizing action units for facial expression analysis,” IEEE Trans. Pattern Anal. Mach. Intell. 23, 97–115 (2001). [CrossRef]
  5. T. Starner, J. Weaver, A. Pentland, “Real-time American sign language recognition using desk and wearable computer based video,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1371–1375 (1998). [CrossRef]
  6. H. Kimmig, M. W. Greenlee, F. Huethe, T. Mergner, “MR-Eyetracker: A new method for eye movement recording in functional magnetic resonance imaging (fMRI),” Exp. Brain Res. 126, 443–449 (1999). [CrossRef] [PubMed]
  7. H. Collewijn, “Eye movement recording,” in Vision Research: A Practical Guide to Laboratory Methods, R. H. S. Carpenter, J. G. Robson, eds. (Oxford U. Press, Oxford, UK, 1999), pp. 245–285.
  8. S. Baluja, D. Pomerleau, “Non-intrusive gaze tracking using artificial neural networks,” (School of Computer Science, Carnegie Mellon University, Pittsburgh, Pa., 1994).
  9. P. U. Müller, D. Cavegn, G. Dewalle, R. Groner, “A comparison of a new limbus tracker, corneal reflection technique, Purkinje eye tracking and electro-oculography,” in Perception and Cognition, G. dYdewalle, J. V. Rensbergen, eds. (Elsevier, Amsterdam, 1993), pp. 393–401.
  10. K. Yana, F. Okuyama, H. Yoshida, S. Fukushima, T. Tokoro, “An evidence of blood pressure and respiration originated variations in fluctuations of pupil diameter of the human eye,” in Proceedings of the IEEE Conference on Engineering in Medicine and Biology (Institute of Electrical and Electronics Engineers, New York, 1991), Vol. 13, pp. 472–272.
  11. G. Calcagnini, F. Miraglia, F. Censi, S. Lino, “Cardiovascular rhythms in spontaneous pupil diameter fluctuation,” IEEE Comput. Cardiology 1, 133–136 (1997).
  12. C. J. Lueck, S. Tanyeri, T. J. Crawford, L. Henderson, C. Kennard, “Antisaccades and remembered saccades in Parkinson’s disease,” J. Neurol. Neurosurg. Psychiatry 53, 284–288 (1990). [CrossRef] [PubMed]
  13. J. P. Reulen, E. A. Sander, L. A. Hogenhuis, “Eye movement disorders in multiple sclerosis and optic neuritis,” Brain 106, 121–140 (1983). [CrossRef] [PubMed]
  14. R. D. Yee, S. M. Whitcup, I. M. Williams, “Saccadic eye movements in myasthenia gravis,” Ophthalmol. 94, 219–225 (1987). [CrossRef]
  15. K. J. Ciuffreda, B. Tannen, Eye Movement Basics for the Clinician (Mosby, St. Louis, Mo., 1995).
  16. S. P. Monacos, A. A. Portillo, W. Liu, J. W. Alexander, G. Ortiz, “A high frame rate CCD camera with region-of-interest capability,” in Proceedings of the IEEE Aerospace Conference (Institute of Electrical and Electronics Engineers, New York, 2001), Vol. 3, pp. 1513–1522.
  17. D. H. Ballard, “Generalizing the Hough transform to detect arbitrary shapes,” Pattern Recogn. 13, 111–122 (1981). [CrossRef]
  18. J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Mach. Intell. 8, 679–698 (1986). [CrossRef] [PubMed]

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