Advertisement

Combining Low-Cost Eye Trackers for Dual Monitor Eye Tracking

  • Sebastian Balthasar
  • Manuel Martin
  • Florian van de CampEmail author
  • Jutta Hild
  • Jürgen Beyerer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9732)

Abstract

The increasing use of multiple screens in everyday use creates a demand for multi-monitor eye tracking. Current solutions are complex and for many use cases prohibitively expensive. By combining two, low-cost single monitor eye trackers, we have created a dual monitor eye tracker requiring only minor software modifications from the single monitor version. The results of a user study, which compares the same eye trackers in a single monitor and a dual monitor setup, show that the combined system can accurately estimate the user’s gaze across two screens. The presented approach gives insight into low-cost alternatives for multi-monitor eye tracking and provides a basis for more complex setups, incorporating even more screens.

Notes

Acknowledgement

The underlying projects to this article are funded by the WTD 81 of the German Federal Ministry of Defense as well as by Fraunhofer IOSB in-house funding. The authors are responsible for the content of this article.

References

  1. [CXS+12]
    Coddington, J., Xu, J., Sridharan, S., Rege, M., Bailey, R.: Gaze-based image retrieval system using dual eye-trackers. In: Proceedings of the IEEE International Conference on Emerging Signal Processing Applications (ESPA), pp. 37–40 (2012)Google Scholar
  2. [GEVC04]
    Goni, S., Echeto, J., Villanueva, A., Cabeza, R.: Robust algorithm for pupil-glint vector detection in a video-oculography eyetracking system. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR), vol. 4, pp. 941–944 (2004)Google Scholar
  3. [HGB14]
    Hild, J., Gill, D., Beyerer, J.: Comparing mouse and magic pointing for moving target acquisition. In: Eye Tracking Research and Applications Symposium (ETRA), pp. 131–134 (2014)Google Scholar
  4. [HRF14]
    Hansen, D.W., Roholm, L., Ferreiros, I.G.: Robust glint detection through homography normalization. In: Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA), pp. 91–94 (2014)Google Scholar
  5. [MM05]
    Morimoto, C.H., Mimica, M.R.: Eye gaze tracking techniques for interactive applications. Comput. Vis. Image Underst. 98(1), 4–24 (2005). special Issue on Eye Detection and TrackingCrossRefGoogle Scholar
  6. [QWLY13]
    Qin, H., Wang, X., Liang, M., Yan, W.: A novel pupil detection algorithm for infrared eye image. In: Proceedings of the IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC), pp. 1–5 (2013)Google Scholar
  7. [Tob11]
    Tobii Technology AB, “Accuracy and precision test method for remote eye trackers,” Tobii, Technical Report, 02 2011Google Scholar
  8. [ZJ04]
    Zhu, Z., Ji, Q.: Eye and gaze tracking for interactive graphic display. Mach. Vis. Appl. 15(3), 139–148 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sebastian Balthasar
    • 1
  • Manuel Martin
    • 2
  • Florian van de Camp
    • 2
    Email author
  • Jutta Hild
    • 2
  • Jürgen Beyerer
    • 2
  1. 1.University of Applied Sciences KarlsruheKarlsruheGermany
  2. 2.Fraunhofer IOSBKarlsruheGermany

Personalised recommendations