ABSTRACT
We present a low-cost wearable eye tracker built from off-the-shelf components. Based on the open source openEyes project (the only other similar effort that we are aware of), our eye tracker operates in the visible spectrum and variable lighting conditions. The novelty of our approach rests in automatically switching between tracking the pupil/iris boundary in bright light to tracking the iris/sclera boundary (limbus) in dim light. Additional improvements include a semi-automatic procedure for calibrating the eye and scene cameras, as well as an automatic procedure for initializing the location of the pupil in the first image frame. The system is accurate to two degrees visual angle in both indoor and outdoor environments.
- Babcock, J. S. and Pelz, J. B. 2004. Building a Lightweight Eyetracking Headgear. In Eye Tracking Research & Applications (ETRA) Symposium. ACM, San Antonio, TX, 109--114. Google ScholarDigital Library
- Birchfield, S. 1998. Elliptical Head Tracking Using Intensity Gradients and Color Histograms. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 232--237. Google ScholarDigital Library
- Borgefors, G. 1988. Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 6, 849--865. Google ScholarDigital Library
- Canny, J. F. 1983. Finding Edges and Lines in Images. Tech. Rep. AI-TR-720, MIT Artificial Intelligence Laboratory. Google Scholar
- Fischler, M. A. and Bolles, R. C. 1981. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24, 6, 381--395. Google ScholarDigital Library
- Fitzgibbon, A., Pilu, M., and Fisher, R. 1999. Direct Least Square Fitting of Ellipses. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 21, 5 (May), 476--480. Google ScholarDigital Library
- Gavrila, D. M. and Philomin, V. 1999. Real-Time Object Detection for "Smart" Vehicles. In International Conference on Computer Vision. 87--93.Google Scholar
- Hennessey, C., Noureddin, B., and Lawrence, P. 2006. A Single Camera Eye-Gaze Tracking System with Free Head Motion. In ETRA '06: Proceedings of the 2006 Symposium on Eye Tracking Research & Applications (ETRA). ACM Press, New York, NY, 87--94. Google ScholarDigital Library
- Li, D., Babcock, J., and Parkhurst, D. J. 2006. openEyes: A Low-Cost Head-Mounted Eye-Tracking Solution. In Eye Tracking Research & Applications (ETRA) Symposium. ACM, San Diego, CA. Google ScholarDigital Library
- Li, D. and Parkhurst, D. 2006. Open-Source Software for Real-Time Visible-Spectrum Eye Tracking. In Conference on Communication by Gaze Interaction (COGAIN). COGAIN, Turin, Italy, 18--20. URL: <http://www.cogain.org/cogain2006/-COGAIN2006_Proceedings.pdf>.Google Scholar
- Li, D., Winfield, D., and Parkhurst, D. J. 2005. Star-burst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. In Vision for Human-Computer Interaction Workshop (in conjunction with CVPR). Google ScholarDigital Library
- Morimoto, C. H. and Mimica, M. R. M. 2005. Eye Gaze Tracking Techniques for Interactive Applications. Computer Vision and Image Understanding 98, 4--24. Google ScholarDigital Library
- Pelz, J. B., Canosa, R., and Babcock, J. 2000. Extended Tasks Elicit Complex Eye Movement Patterns. In Eye Tracking Research & Applications (ETRA) Symposium. ACM, Palm Beach Gardens, FL, 37--43. Google ScholarDigital Library
- Reich, S., Goldberg, L., and Hudek, S. 2004. Deja View Camwear Model 100. In CARPE'04: Proceedings of the 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences. ACM Press, New York, NY, 110--111. Google ScholarDigital Library
Index Terms
- Limbus/pupil switching for wearable eye tracking under variable lighting conditions
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