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Recognizing Cognitive Activities Through Eye Tracking

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Understanding the Brain Function and Emotions (IWINAC 2019)

Abstract

Eye detection and tracking is usually performed by using specific devices that allow to determine the pupil position in many different situations. We propose to use these techniques for recognizing cognitive activities that a potential user is carrying out in front of a computer. We use the images captured by a conventional web camera located over the computer display. Those image are processed and, after the face and facial landmarks are found, the user gaze is analyzed and the ethogram and several statistics associated to the eyes and gaze destination are computed. They are used for determining what is doing the user from a set of predefined activities.

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References

  1. Hof, R.: How do you Google? New eye tracking study reveals huge changes. https://www.forbes.com/sites/roberthof/2015/03/03/how-do-you-google-new-eye-tracking-study-reveals-huge-changes/. Accessed 11 Feb 2019

  2. Tsai, M.-J., Hou, H.-T., Lai, M.-L., Liu, W.-Y., Yang, F.-Y.: Visual attention for solving multiple-choice science problem: an eye-tracking analysis. Comput. Educ. 58, 375–385 (2012)

    Article  Google Scholar 

  3. Weigel, P., Raab, M., Wollny, R.: Tactical decision making in team sports: a model of cognitive processes. Int. J. Sports Sci. 5(49), 128–138 (2015)

    Google Scholar 

  4. Gidlöf, K., Wallin, A., Dewhurst, R., Holmqvist, K.: Using eye tracking to trace a cognitive process: Gaze behaviour during decision making in a natural environment. J. Eye Mov. Res. 6(1), 1–14 (2013)

    Google Scholar 

  5. Al-Rahayfeh, A., Faezipour, M.: Eye tracking and head movement detection: a state-of-art survey. IEEE J. Transl. Eng. Health Med. 1, 1–12 (2013)

    Article  Google Scholar 

  6. Krafka, K., et al.: Eye tracking for everyone. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2176–2184 (2016)

    Google Scholar 

  7. Ferhat, O., Vilariño, F.: Low cost eye tracking: the current panorama. Comput. Intell. Neurosci. 2016, 1–14 (2016)

    Article  Google Scholar 

  8. Obaidellah, U., Al Haek, M., Cheng, P.C.-H.: A survey on the usage of eye-tracking in computer programming. ACM Comput. Surv. 51(1), 1–58 (2018)

    Article  Google Scholar 

  9. Baluja, S., Pomerleau, D.: Non-intrusive gaze tracking using artificial neural networks. Technical report CMU-CS-94-102. Carnegie Mellon University. Pittsburgh, Pennsylvania (1994)

    Google Scholar 

  10. Sewell, W., Komogortsev, O.: Real-time eye gaze tracking with anunmodified commodity webcam employing a neural network. In: ACM CHI Conference Human Factors in Computing Systems, pp. 3739–3744. Atlanta, Georgia (2010)

    Google Scholar 

  11. Vora, S., Rangesh, A., Trivedi, M.M.: On generalizing driver gaze zone estimation using convolutional neural networks. In: IEEE Intelligent Vehicles Symposium, pp. 849–854. Redondo Beach, California (2017)

    Google Scholar 

  12. Naqvi, R.A., Arsalan, M., Batchuluun, G., Yoon, H.S., Park, K.R.: Deep learning-based gaze detection systems for automobile drivers using a NIR camera sensor. Sensors 18, 1–34 (2018)

    Article  Google Scholar 

  13. Blakley, B.W., Chan, L.: Methods considerations for nystagmography. J. Otolaryngol. Head Neck Surg. 44, 25 (2015)

    Article  Google Scholar 

  14. Cassin, B., Solomon, S.: Dictionary of Eye Terminology. Triad Publishing Company, Gainesville (1990)

    Google Scholar 

  15. Dalal, N., Triggs, B.: Histogram of Oriented Gradients for Human Detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 886–893 (2005)

    Google Scholar 

  16. Kazemi, V., Sullivan, J.: One millisecond face alignment with anensemble of regression trees. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1867–1874. Ohio, USA (2014)

    Google Scholar 

  17. Soukupová, T., Čech, J.: Real-time eye blink detection using facial landmarks. In: 21st Computer Vision Winter Workshop (2016)

    Google Scholar 

  18. Anderson, D.J., Perona, P.: Toward a science of computational ethology. Neuron 84, 18–31 (2014)

    Article  Google Scholar 

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Acknowledgments

This work has been partially supported by FEDER funds through MINECO project TIN2017-85827-P.

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Correspondence to Javier de Lope Asiain .

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Moraleda, S., de Lope Asiain, J., Graña, M. (2019). Recognizing Cognitive Activities Through Eye Tracking. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Understanding the Brain Function and Emotions. IWINAC 2019. Lecture Notes in Computer Science(), vol 11486. Springer, Cham. https://doi.org/10.1007/978-3-030-19591-5_30

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  • DOI: https://doi.org/10.1007/978-3-030-19591-5_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19590-8

  • Online ISBN: 978-3-030-19591-5

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