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
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
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)
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)
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)
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)
Krafka, K., et al.: Eye tracking for everyone. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2176–2184 (2016)
Ferhat, O., Vilariño, F.: Low cost eye tracking: the current panorama. Comput. Intell. Neurosci. 2016, 1–14 (2016)
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)
Baluja, S., Pomerleau, D.: Non-intrusive gaze tracking using artificial neural networks. Technical report CMU-CS-94-102. Carnegie Mellon University. Pittsburgh, Pennsylvania (1994)
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)
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)
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)
Blakley, B.W., Chan, L.: Methods considerations for nystagmography. J. Otolaryngol. Head Neck Surg. 44, 25 (2015)
Cassin, B., Solomon, S.: Dictionary of Eye Terminology. Triad Publishing Company, Gainesville (1990)
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)
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)
Soukupová, T., Čech, J.: Real-time eye blink detection using facial landmarks. In: 21st Computer Vision Winter Workshop (2016)
Anderson, D.J., Perona, P.: Toward a science of computational ethology. Neuron 84, 18–31 (2014)
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This work has been partially supported by FEDER funds through MINECO project TIN2017-85827-P.
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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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