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Improving Model-Based Mobile Gaze Tracking

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Intelligent Decision Technologies (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

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Abstract

Mobile, wearable gaze tracking provides flexible opportunities for extending gaze tracking research outside of laboratory environments. Wearable trackers are predominantly video based and fall in to two categories: pupil-corneal reflection methods and physical model-based methods. A number of error sources affect the feature extraction and gaze mapping and therefore the accuracy and precision of both systems. Here, we present two methods for improving tracking results: an advanced user calibration procedure for estimating gaze vectors applicable with any model-based method and a Bayesian tracker for tracking any number of corneal reflections and the pupil center, applicable with both types of trackers. The results show clear improvements over the stability and robustness of recognizing and tracking features in the eye image and, ultimately, estimating the gaze vector.

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Notes

  1. 1.

    Theoretically any subset of the glint grid with at least two glints should suffice to compute the POG accurately but due to the inaccurate LED calibration the accuracy improves with more detected glints.

References

  1. Choe, K.W., Blake, R., Lee, S.H.: Pupil size dynamics during fixation impact the accuracy and precision of video-based gaze estimation. Vis. Res. (2015)

    Google Scholar 

  2. Cornell, E.D., Macdougall, H.G., Predebon, J., Curthoys, I.S., et al.: Errors of binocular fixation are common in normal subjects during natural conditions. Optom. & Vis. Sci. 80(11), 764–771 (2003)

    Article  Google Scholar 

  3. Doucet, A., De Freitas, N., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer (2001)

    Google Scholar 

  4. Dubbelman, M., Sicam, V., Van der Heijde, G.: The shape of the anterior and posterior surface of the aging human cornea. Vis. Res. 46(6), 993–1001 (2006)

    Article  Google Scholar 

  5. Gelman, A., Carlin, J.B., Stern, H.S., Rubin, D.B.: Bayesian Data Analysis. Chapman & Hall/CRC, Boca Raton (2004)

    MATH  Google Scholar 

  6. Hennessey, C., Noureddin, B., Lawrence, P.: A single camera eye-gaze tracking system with free head motion. In: Proceedings of the 2006 Symposium on Eye Tracking Research & Applications, pp. 87–94. ACM (2006)

    Google Scholar 

  7. Hennessey, C., Noureddin, B., Lawrence, P.: Fixation precision in high-speed noncontact eye-gaze tracking. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 38(2), 289–298 (2008)

    Article  Google Scholar 

  8. Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., Van de Weijer, J.: Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press, Oxford (2011)

    Google Scholar 

  9. Holmqvist, K., Nyström, M., Mulvey, F.: Eye tracker data quality: what it is and how to measure it. In: Proceedings of the Symposium on Eye Tracking Research and Applications, pp. 45–52. ACM (2012)

    Google Scholar 

  10. Kassner, M., Patera, W., Bulling, A.: Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction. arXiv preprint arXiv:1405.0006 (2014)

  11. Lavine, R.A., Sibert, J.L., Gokturk, M., Dickens, B.: Eye-tracking measures and human performance in a vigilance task. Aviat. Space Env. Med. 73(4), 367–372 (2002)

    Google Scholar 

  12. Li, D., Babcock, J., Parkhurst, D.J.: Openeyes: a low-cost head-mounted eye-tracking solution. In: Proceedings of the 2006 Symposium on Eye Tracking Research & Applications, pp. 95–100. ACM (2006)

    Google Scholar 

  13. Lukander, K., Jagadeesan, S., Chi, H., Müller, K.: Omg!: a new robust, wearable and affordable open source mobile gaze tracker. In: Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 408–411. ACM (2013)

    Google Scholar 

  14. Noris, B., Keller, J.B., Billard, A.: A wearable gaze tracking system for children in unconstrained environments. Comput. Vis. Image Underst. 115(4), 476–486 (2011)

    Article  Google Scholar 

  15. Shih, S.W., Liu, J.: A novel approach to 3-D gaze tracking using stereo cameras. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 34(1), 234–245 (2004)

    Article  Google Scholar 

  16. Tamminen, T., Lampinen, J.: Sequential Monte Carlo for Bayesian matching of objects with occlusions. IEEE Trans. Pattern Anal. Mach. Intell. 28(6), 930–941 (2006)

    Article  Google Scholar 

  17. Tobii: Accuracy and precision test method for remote eye trackers. Referenced 23.01.2015. http://www.tobii.com/es/eye-tracking-research/global/about-tobii-pro/eye-tracking/test-method (2011)

  18. Toivanen, M., Lampinen, J.: Incremental object matching and detection with bayesian methods and particle filters. Comput. Vis. IET 5(4), 201–210 (2011)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Brain Work Research Center, Finnish Institute of Occupational Health, Helsinki, Finland

    Miika Toivanen & Kristian Lukander

Authors
  1. Miika Toivanen
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  2. Kristian Lukander
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Corresponding author

Correspondence to Miika Toivanen .

Editor information

Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Toivanen, M., Lukander, K. (2015). Improving Model-Based Mobile Gaze Tracking. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_52

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

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