Juan J. Cerrolaza
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Abstract
Gaze-tracking data have been used successfully in the design of new input devices and as an observational technique in usability studies. Polynomial-based Video-Oculography (VOG) systems are one of the most attractive gaze estimation methods thanks to their simplicity and ease of implementation. Although the functionality of these systems is generally acceptable, there has been no thorough comparative study to date of how the mapping equations affect the final system response. After developing a taxonomic classification of calibration functions, we examined over 400,000 models and evaluated the validity of several conventional assumptions. Our rigorous experimental procedure enabled us to optimize the calibration process for a real VOG gaze-tracking system and halve the calibration time while avoiding a detrimental effect on the accuracy or tolerance to head movement. Finally, a geometry-based method is implemented and tested. The results and performance is compared with those obtained by the general purpose expressions.
- Anliker, J. 1976. Eye movements---On-line measurement, analysis, and control. In Eye Movements and Psychological Processes. 185--199.Google Scholar
- Babcock, J. S. and Pelz, J. B. 2004. Building a lightweight eyetracking headgear. In Proceedings of the Eye Tracking Research and Applications Symposium (ETRA’04). ACM, New York, NY, 109--114. Google ScholarDigital Library
- Bailey, B. P. and Iqbal, S. T. 2008. Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management. ACM Trans. Comput.-Hum. Interact. 14, 21:1--21:28. Google ScholarDigital Library
- Barea, R., Boquete, L., Bergasa, L. M., Lopez, E., and Mazo, M. 2003. Electro-oculographic guidance of a wheelchair using eye movements codification. I. J. Robotic Res. 22, 7--8, 641--652.Google ScholarCross Ref
- Benel, D. C. R., Ottens, D., and Horst, R. 1991. Use of an eye tracking system in the usability laboratory. In Proceedings of the Human Factors Society 35th Annual Meeting.Google Scholar
- Beymer, D. and Flickner, M. 2003. Eye gaze tracking using an active stereo head. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Vol. 2, 451--458.Google Scholar
- Bolt, R. A. 1982. Eyes at the interface. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’82). ACM, New York, NY, 360--362. Google ScholarDigital Library
- Brolly, X. L. C. and Mulligan, J. B. 2004. Implicit calibration of a remote gaze tracker. In Proceedings of the Conference on Computer Vision and Pattern Recognition Workshop. 134. Google ScholarDigital Library
- Burke, M., Hornof, A., Nilsen, E., and Gorman, N. 2005. High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten. ACM Trans. Comput.-Hum. Interact. 12, 4, 423--445. Google ScholarDigital Library
- Cerrolaza, J. J., Villanueva, A., and Cabeza, R. 2008. Taxonomic study of polynomial regressions applied to the calibration of video-oculographic systems. In Proceedings of the Eye Tracking Research and Applications Symposium. 259--266. Google ScholarDigital Library
- Chen, J., Tong, Y., Gray, W., and Ji, Q. 2008. A robust 3D eye gaze tracking systemusing noise reduction. In Proceedings of the Eye Tracking Research and Applications Symposium. Google ScholarDigital Library
- Cherif, Z. R., Nat-Ali, A., Motsch, J. F., and Krebs, M. O. 2002. An adaptive calibration of an infrared ligth device used for gaze tracking. In Proceedings of the IEEE Instrumentation and Measurement Technology Conference. 1029--1033.Google Scholar
- Draper, N. R. and Smith, H. 1981. Applied Regression Analysis. John Wiley and Sons.Google Scholar
- Duchowski, A. T. 2007. Eye Tracking Methodology: Theory and Practice. Springer. Google ScholarDigital Library
- Ebisawa, Y. 1995. Unconstrained pupil detection technique using two light sources and the image difference method. In Visualization and Intelligent Design in Engineering and Architecture. 79--89.Google Scholar
- Ellis, S., Candrea, R., Misner, J., Craig, C. S., and Lankford, C. P. 1998. Windows to the soul? What eye movements tell us about software usability. In Proceedings of the 7th Annual Conference of the Usability Professionals’ Association. 151--178.Google Scholar
- Fitts, P. M., Jones, R. E., and Milton, J. L. 1950. Eye Movements of Aircraft Pilots during Instrument-Landing Approaches. Aeronautical Engin. Rev. 9, 2, 24--29.Google Scholar
- Guestrin, E. and Eizenman, M. 2006. General theory of remote gaze estimation using pupil center and corneal reflections. IEEE Trans. Biomed. Engin. 53, 6, 1124--1133.Google ScholarCross Ref
- Guestrin, E. D. and Eizenman, M. 2008. Remote point-of-gaze estimation requiring a single-point calibration for applications with infants. In Proceedings of the Eye Tracking Research and Applications Symposium. Google ScholarDigital Library
- Hansen, D. W. and Ji, Q. 2010. In the eye of the beholder: A survey of models for eyes and gaze. IEEE Trans. Pattern Anal. Mach. Intell. 32, 3, 478--500. Google ScholarDigital Library
- Hansen, D. W., Agustin, J. S., and Villanueva, A. 2010. Homography normalization for robust gaze estimation in uncalibrated setups. In Proceedings of the Eye Tracking Research and Applications Symposium. 13--20. Google ScholarDigital Library
- Hartridge, H. and Thompson, L. 1948. Methods of investigating eye movements. British J. Ophthalmology.Google Scholar
- Hennessey, C. and Lawrence, P. D. 2008. 3d point-of-gaze estimation on a volumetric display. In Proceedings of the Eye Tracking Research and Applications Symposium. Google ScholarDigital Library
- Hennessey, C., Noureddin, B., and Lawrence, P. 2006. A single camera eye-gaze tracking system with free head motion. In Proceedings of the Eye Tracking Research and Applications Symposium. ACM Press, New York, NY, 87--94. Google ScholarDigital Library
- Hornof, A. J. and Halverson, T. 2003. Cognitive strategies and eye movements for searching hierarchical computer displays. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’03). ACM, New York, NY, 249--256. Google ScholarDigital Library
- Kang, J. J., Eizenman, M., Guestrin, E. D., and Eizenman, E. 2008. Investigation of the cross-ratios method for point-of-gaze estimation. IEEE Trans. Biomed. Engin. 55, 9, 2293--2302.Google ScholarCross Ref
- Karpala, F. and Jernigan, M. E. 1980. Compensation for distortion in eye-movement monitors. IEEE Trans. Biomed. Engin. 27, 3, 113--119.Google ScholarCross Ref
- Li, D., Winfield, D., and Parkhurst, D. J. 2005. Starburst: A hybrid algorithmfor video-based eye tracking combining feature-based and model-based approaches. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Google ScholarDigital Library
- Massopust, P. 2010. Interpolation and Approximation with Splines and Fractals. Oxford University Press, Inc., New York, NY. Google ScholarDigital Library
- Merchant, J., Morrissette, R., and Porterfield, J. 1974. Remote measurement of eye direction allowing subject motion over one cubic foot of space. IEEE Trans. Biomed. Engin. 21, 4, 309--317.Google ScholarCross Ref
- Model, D. and Eizenman, M. 2010. An automatic personal calibration procedure for advanced gaze estimation systems. IEEE Trans. Biomed. Engin. 57, 5, 1031--1039.Google ScholarCross Ref
- Monty, R., and Senders, J. 1976. Eye Movements and Psychological Processes. Lawrence Erlbaum Associates.Google Scholar
- Morimoto, C., Koons, D., Amir, A., and Flickner, M. 2000. Pupil detection and tracking using multiple light sources. Image Visi. Comput. 18, 4, 331--335.Google Scholar
- Morimoto, C. H. and Mimica, M. R. M. 2005. Eye gaze tracking techniques for interactive applications. Comput. Vis. Image Underst. 98, 1, 4--24. Google ScholarDigital Library
- Navallas, J., Ariz, M., Villanueva, A., San Agustn, J., and Cabeza, R. 2011. Optimizing interoperability between video-oculographic and electromyographic systems. J Rehabil. Resear. Dev 48, 3, 253--266.Google ScholarCross Ref
- Ohno, T. and Mukawa, N. 2004. A free head, simple calibration, gaze tracking system that enables gaze-based interaction. In Proceedings of the Eye Tracking Research & Applications Symposium. 115--122. Google ScholarDigital Library
- Phillips, G. 2003. Interpolation and Approximation by Polynomials. CMS Books in Mathematics, Springer.Google Scholar
- Piratla, N. M. and Jayasumana, A. P. 2002. A neural network based real-time gaze tracker. J. Netw. Comput. Appl. 25, 179--196. Google ScholarDigital Library
- Plumlee, M. D. and Ware, C. 2006. Zooming versus multiple window interfaces: Cognitive costs of visual comparisons. ACM Trans. Comput.-Hum. Interact. 13, 179--209. Google ScholarDigital Library
- Poole, A. and Ball, L. J. 2005. Eye tracking in human-computer interaction and usability research: Current status and future prospects. In Encyclopedia of Human Computer Interaction, C. Ghaoui Ed., IGI Global.Google Scholar
- Ramanauskas, N. 2006. Calibration of video-oculographical eye-tracking system. Electron. Electric. Engin. 8, 65--68.Google Scholar
- Shih, S. W. and Liu, J. 2004. A novel approach to 3-D gaze tracking using stereo cameras. IEEE Trans. Syst. Man Cyber. Part-B 34, 1, 234--245. Google ScholarDigital Library
- Stampe, D. M. 1993. Heuristic filtering and reliable calibration methods for video-based pupil-tracking systems. Behav. Resear. Meth. 25, 2, 137--142.Google ScholarCross Ref
- Starker, I. and Bolt, R. A. 1990. A gaze-responsive self-disclosing display. In Proceedings of the Conference on Human Factors in Computing Systems. ACM, New York, NY, 3--10. Google ScholarDigital Library
- Torricelli, D., Conforto, S., Schmid, M., and D’Alessio, T. 2008. A neural-based remote eye gaze tracker under natural head motion. Comput. Methods Prog. Biomed. 92, 66--78. Google ScholarDigital Library
- Underwood, G. 2005. Cognitive Process in Eye Guidance. Oxford University Press.Google Scholar
- Vertegaal, R. 1999. The gaze groupware system: Mediating joint attention in multiparty communication and collaboration. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’99). ACM, New York, NY, 294--301. Google ScholarDigital Library
- Villanueva, A. 2005. Mathematical models for video-oculography. Ph.D. thesis, Public University of Navarra.Google Scholar
- Villanueva, A. and Cabeza, R. 2007. Models for gaze tracking systems. EURASIP J. Image Video Process. Google ScholarDigital Library
- Villanueva, A. and Cabeza, R. 2008. A novel gaze estimation system with one calibration point. IEEE Trans. Syst. Man Cyber. SMC-B 37, 4, 1123--1138. Google ScholarDigital Library
- White, K. P., Hutchinson, T. E., and Carley, J. M. 1993. Spatially dynamic calibration of an eyetracking system. IEEE Trans. Syst. Man, Cyber. 23, 4, 1162--1168.Google ScholarCross Ref
- Yoo, D. H. and Chung, M. J. 2005. A novel non-intrusive eye gaze estimation using cross-ratio under large head motion. Comput. Vis. Image Underst. 98, 1, 25--51. Google ScholarDigital Library
- Young, L. and Sheena, D. 1975. Survey of eye movement recording methods. Methods Designs, Behav. Resear. Methods Instrumen. 7, 5, 397--427.Google ScholarCross Ref
- Zhu, Z., Ji, Q., and Member, S. 2007. Novel eye gaze tracking techniques under natural head movement. IEEE Trans. Biomed. Engin. 54, 2246--2260.Google ScholarCross Ref
Index Terms
- Study of Polynomial Mapping Functions in Video-Oculography Eye Trackers
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