10.25673/122813">


Proceedings of International Conference on Applied Innovation in IT
2025/12/22 , Volume 13 , Issue 5 , pp.95 -100

Eye Tracking: A Comprehensive Review of Methods and Applications


Nilo T. Bugtai, Renann G. Baldovino, Francisco Emmanuel T. Munsayac Jr. III, Edison Anit and Charmine Sheena Saflor


Abstract: Eye tracking has been around for decades, growing alongside the technology that supports it. Early systems were simple and often imprecise, but better cameras and smarter algorithms have made measurements far more reliable. Today, high resolution imaging and modern software can capture even tiny, moment to moment eye movements. This jump in precision does not just improve data quality; it also widens the kinds of questions researchers can ask. As a result, eye tracking studies have expanded quickly, offering clearer insight into how people pay attention, interpret what they see, and make decisions. This review traces that journey from the first basic setups to the most advanced systems available today and shows how these methods are now used across many fields. In recent years, eye tracking has also become increasingly accessible, integrated into consumer devices, and applied in diverse domains such as neuroscience, marketing, education, and virtual reality. These innovations not only enhance experimental accuracy but also democratize the technology, allowing a broader range of users to explore human perception and behavior with unprecedented detail.

Keywords: Eye tracking, Human Eye Movement, Iris Detection.

DOI: 10.25673/122813

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References:

  1. M. Płużyczka, “The first hundred years: a history of eye tracking as a research method,” Applied Linguistics Papers, vol. 4/2018, no. 25, pp. 101-116, Dec. 2018, doi: 10.32612/uw.25449354.2018.4.
  2. “Applications & history of eye tracking technology,” Gazepoint, [Online]. Available: https://www.gazept.com/eye-tracking/?v=a25496ebf095, [Accessed: 30 Apr. 2024].
  3. “What is eye-tracking? benefits of eye-tracking in research,” [Online]. Available: https://www.hotjar.com/conversion-rate-optimization/glossary/eye-tracking, [Accessed: 30 Apr. 2024].
  4. S. N. S. S. Anwar, A. A. Aziz, and S. H. Adil, “Development of real-time eye tracking algorithm,” 2021 4th International Conference on Computing & Information Sciences (ICCIS), Karachi, Pakistan, 2021, pp. 1-6, doi: 10.1109/ICCIS54243.2021.9676406.
  5. R. Krueger, S. Koch, and T. Ertl, “Saccadelenses: interactive exploratory filtering of eye tracking trajectories,” 2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS), Baltimore, MD, USA, 2016, pp. 31-34, doi: 10.1109/ETVIS.2016.7851162.
  6. B. Sharif et al., “Practical eye tracking with iTrace,” 2019 IEEE/ACM 6th International Workshop on Eye Movements in Programming (EMIP), Montreal, QC, Canada, 2019, pp. 41-42, doi: 10.1109/EMIP.2019.00015.
  7. J. Amudha and K. R. Chandrika, “Suitability of genetic algorithm and particle swarm optimization for eye tracking system,” 2016 IEEE 6th International Conference on Advanced Computing (IACC), Bhimavaram, India, 2016, pp. 256-261, doi: 10.1109/IACC.2016.56.
  8. Z. Kang and E. J. Bass, “Supporting the eye tracking analysis of multiple moving targets: design concept and algorithm,” 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, 2014, pp. 3184-3189, doi: 10.1109/SMC.2014.6974418.
  9. A. Al-Rahayfeh and M. Faezipour, “Enhanced frame rate for real-time eye tracking using circular hough transform,” 2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT), Farmingdale, NY, USA, 2013, pp. 1-6, doi: 10.1109/LISAT.2013.6578214.
  10. A. Al-Rahayfeh and M. Faezipour, “Eye tracking and head movement detection: a state-of-art survey,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 1, pp. 2100212-2100212, 2013, Art no. 2100212, doi: 10.1109/JTEHM.2013.2289879.
  11. V. Raudonis, R. Simutis and G. Narvydas, “Discrete eye tracking for medical applications,” Proc. 2nd ISABEL, pp. 1-6, 2009.
  12. Y. Kuo, J. Lee, and S. Kao, “Eye tracking in visible environment,” Proc. 5th Int. Conf. IIH-MSP, pp. 114-117, 2009.
  13. Z. Yuan and J. Kebin, “A local and scale integrated feature descriptor in eye-gaze tracking,” Proc. 4th Int. CISP, vol. 1, pp. 465-468, 2011.
  14. H. Liu and Q. Liu, “Robust real-time eye detection and tracking for rotated facial images under complex conditions,” Proc. 6th ICNC, vol. 4, pp. 2028-2034, 2010.
  15. W. Khairosfaizal and A. Nor’aini, “Eye detection in facial images using circular Hough transform,” Proc. 5th CSPA, pp. 238-242, 2009.
  16. W. Hotrakool, P. Siritanawan and T. Kondo, “A real-time eye-tracking method using time-varying gradient orientation patterns,” Proc. Int. Conf. Electr. Eng. Electron. Comput. Telecommun. Inf. Technol., pp. 492-496, 2010.
  17. C. Yang, J. Sun, J. Liu, X. Yang, D. Wang, and W. Liu, “A gray difference-based pre-processing for gaze tracking,” Proc. IEEE 10th ICSP, pp. 1293-1296, 2010.
  18. X. Yang, J. Sun, J. Liu, J. Chu, W. Liu and Y. Gao, “A gaze tracking scheme for eye-based intelligent control,” Proc. 8th WCICA, pp. 50-55, 2010.
  19. M. Mehrubeoglu, L. M. Pham, H. T. Le, R. Muddu, and D. Ryu, “Real-time eye tracking using a smart camera,” Proc. AIPR Workshop, pp. 1-7, 2011.
  20. Z. Zhu and Q. Ji, “Novel eye gaze tracking techniques under natural head movement,” IEEE Trans. Biomed. Eng., vol. 54, pp. 2246-2260, Dec. 2007.
  21. X. Li and W. G. Wee, “An efficient method for eye tracking and eye-gazed FOV estimation,” Proc. 16th IEEE Int. Conf. Image Process., pp. 2597-2600, 2009.
  22. H. Huang, Y. S. Zhou, F. Zhang, and F. C. Liu, “An optimized eye locating and tracking system for driver fatigue monitoring,” Proc. ICWAPR, vol. 3, pp. 1144-1149, 2007.
  23. R. C. Coetzer and G. P. Hancke, “Eye detection for a real-time vehicle driver fatigue monitoring system,” Proc. IEEE Intell. Veh. Symp., pp. 66-71, 2011.
  24. T. Siriteerakul, Y. Sato, and V. Boonjing, “Estimating change in head pose from low resolution video using LBP-based tracking,” Proc. ISPACS, pp. 1-6, 2011.
  25. Z. Zhao, Y. Wang and S. Fu, “Head movement recognition based on Lucas-Kanade algorithm,” Proc. Int. Conf. CSSS, pp. 2303-2306, 2012.
  26. Y. Zhao and H. Yan, “Head orientation estimation using neural network,” Proc. ICCSNT, vol. 3, pp. 2075-2078, 2011.
  27. L. M. King, H. T. Nguyen and P. B. Taylor, “Hands-free head-movement gesture recognition using artificial neural networks and the magnified gradient function,” Proc. 27th Annu. Conf. Eng. Med. Biol., pp. 2063-2066, 2005.
  28. S. T. Nguyen, H. T. Nguyen, P. B. Taylor and J. Middleton, “Improved head direction command classification using an optimized Bayesian neural network,” Proc. 28th Annu. Int. Conf. EMBS, pp. 5679-5682, 2006.
  29. A. Pranith and C. R. Srikanth, “Iris recognition using corner detection,” Proc. 2nd ICISE, pp. 2151-2154, 2010.
  30. D. Martinez-Marquez, S. Pingali, K. Panuwatwanich, R. A. Stewart, and S. Mohamed, “Application of eye tracking technology in aviation, Maritime, and Construction Industries: a systematic review,” Sensors, vol. 21, no. 13, p. 4289, Jun. 2021, doi: 10.3390/s21134289.
  31. P. Drakopoulos, G. A. Koulieris, and K. Mania, “Front camera eye tracking for mobile VR,” 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA, 2020, pp. 642-643, doi: 10.1109/VRW50115.2020.00172.
  32. Y. Shang, “Research on eye movement tracking and English teaching application based on CNN-BLSTM fusion algorithm,” 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), Taichung, Taiwan, 2023, pp. 379-382, doi: 10.1109/ICEIB57887.2023.10170423.
  33. V. Zyrianov, D. T. Guarnera, C. S. Peterson, B. Sharif, and J. I. Maletic, “Automated recording and semantics-aware replaying of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks,” 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME), Adelaide, SA, Australia, 2020, pp. 464-475, doi: 10.1109/ICSME46990.2020.00051.
  34. R. Pinter, S. M. Čisar, L. Szedmina, V. Bulović, and A. Kovari, “Eye movement monitoring for multimedia content ranking,” 2022 IEEE 5th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), Budapest, Hungary, 2022, pp. 81-86, doi: 10.1109/CANDO-EPE57516.2022.10046393.


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