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Gaze point estimation on curved display by using session level calibration for flat screen displays

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Abstract

The advantages of curved screen displays find their place in populations everyday life, therefore it is important to adapt the existing eye tracking systems for estimating the gaze point on a curved screen. In this paper we present a curved screen based gaze point estimation model. This model provides methods for estimating the gaze point position by eye rotation angles, and also transforms flat screen based relative coordinates into curved screen based relative coordinates. The model was validated by using a flat screen based eye tracking system for a gaze point estimation on a curved screen. The eye rotation angle, distance to the screen and gaze point location’s influence were modelled in this paper as well. The results of these experiments prove the up to 4% increase of gaze point estimation accuracy by using the proposed model, by comparing the flat screen mode with the curved screen. However the results found are significant only if the distance to the screen is less than 0.5 of curved screen radius.

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References

  1. Beymer D, Flickner M (2003) Eye gaze tracking using an active stereo head. Computer vision and pattern Recognition, 2003. Proceedings 2003 I.E. computer society conference on Vol. 2, IEEE

  2. Dingwen Z et al (2016) Detection of co-salient objects by looking deep and wide. Int J Comput Vis 120:1–18

    Article  MathSciNet  Google Scholar 

  3. EyeTech (2015) CES 2015 – 1st multi-user eye tracking TV display. Interactive, http://www.eyetechds.com/blog--news/ces-2015-1st-multi-user-eye-tracking-tv-display. Accessed 18 July 2016

  4. Heide W et al (1999) Electrooculography: technical standards and applications. Electroencephalogr Clin Neurophysiol Suppl 52:223–240

    Google Scholar 

  5. Jacob RJ, Karn KS (2003) Eye tracking in human-computer interaction and usability research: ready to deliver the promises. Mind 2(3):4

    Google Scholar 

  6. Jen C-L et al (2016) Vision based wearable eye-gaze tracking system. 2016 I.E. International conference on consumer electronics (ICCE), IEEE

  7. Junwei H et al (2015) Background prior-based salient object detection via deep reconstruction residual. IEEE Transactions on Circuits and Systems for Video Technology 25(8):1309–1321

    Article  Google Scholar 

  8. Junwei H et al (2016) Two-stage learning to predict human eye fixations via SDAEs. IEEE transactions on cybernetics 46(2):487–498

    Article  Google Scholar 

  9. Kao W-C et al (2016) Optimal iris region matching and gaze point calibration for real-time eye tracking systems. 2016 I.E. International conference on consumer electronics (ICCE), IEEE

  10. Kar A et al (2016) Eye-gaze systems-an analysis of error sources and potential accuracy in consumer electronics use cases. 2016 I.E. International conference on consumer electronics (ICCE), IEEE

  11. Kumar A, Krol G (1992) Binocular infrared oculography. Laryngoscope 102(4):367–378

    Article  Google Scholar 

  12. Mazo G (2012) How to use smart stay on the galaxy s3. Androidcentral, Interactive http://www.androidcentral.com/how-use-smart-stay-galaxy-s3. Accessed 18 July 2016

    Google Scholar 

  13. Mohns R (2016) What’s the best font size for the web? Well, it depends…. Imarc, Interactive https://www.imarc.com/blog/best-font-size-for-any-device. Accessed 6 Dec 2016

    Google Scholar 

  14. Morimoto CH, Mimica MRM (2005) Eye gaze tracking techniques for interactive applications. Comput Vis Image Underst 98(1):4–24

    Article  Google Scholar 

  15. Morimoto CH, Amir A, Flickner M (2002) Detecting eye position and gaze from a single camera and 2 light sources. Pattern Recognition, 2002. Proceedings 16th International conference on Vol. 4, IEEE

  16. Newman R et al (2000) Real-time stereo tracking for head pose and gaze estimation. Automatic face and gesture Recognition, 2000. Proceedings fourth IEEE International conference on, IEEE

  17. Ramanauskas N (2015) Calibration of video-oculographical eye-tracking system. Elektronika ir Elektrotechnika 72(8):65–68

    Google Scholar 

  18. Remmel RS (1984) An inexpensive eye movement monitor using the scleral search coil technique. IEEE Trans Biomed Eng 4:388–390

    Article  Google Scholar 

  19. Tobii Tech (2016) Changing the game: Tobii eye tracking in MSI notebook, Assassin’s creed® syndicate, tom Clancy’s the division™. Interactive, http://www.tobii.com/group/news-media/press-releases/2016/1/changing-the-game-tobii-eye-tracking-in-msi-notebook-assassins-creed-syndicate-tom-clancys-the-division. Accessed 18 July 2016

  20. The Eye Tribe (2016) Eye Tribe tracker pro. Interactive, https://theeyetribe.com/products. Accessed 18 July 2016

  21. Trent VW, Harbluk J, Engström JA (2005) Sensitivity of eye-movement measures to in-vehicle task difficulty. Transport Res F: Traffic Psychol Behav 8(2):167–190

    Article  Google Scholar 

  22. Xia L et al (2016) Accurate gaze tracking from single camera using gabor corner detector. Multimedia Tools and Applications 75(1):221–239

    Article  Google Scholar 

  23. Yoo DH et al (2002) Non-contact eye gaze tracking system by mapping of corneal reflections. Automatic face and gesture Recognition, 2002. Proceedings fifth IEEE International conference on, IEEE

  24. Zhefan Y et al (2012) Detecting eye contact using wearable eye-tracking glasses. Proceedings of the 2012 ACM conference on ubiquitous computing. ACM

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Correspondence to Simona Ramanauskaitė.

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Ramanauskaitė, S., Čenys, A., Radvilė, E. et al. Gaze point estimation on curved display by using session level calibration for flat screen displays. Multimed Tools Appl 77, 6969–6985 (2018). https://doi.org/10.1007/s11042-017-4616-y

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  • DOI: https://doi.org/10.1007/s11042-017-4616-y

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