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Recognizing Cognitive Activities Through Eye Tracking

  • Sara Moraleda
  • Javier de Lope AsiainEmail author
  • Manuel Graña
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11486)

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.

Keywords

Neuroethology Activities recognition Eye tracking Screen-based eye tracker Non-invasive techniques 

Notes

Acknowledgments

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

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sara Moraleda
    • 1
  • Javier de Lope Asiain
    • 1
    Email author
  • Manuel Graña
    • 2
  1. 1.Computational Cognitive Robotics Group, Department of Artificial IntelligenceUniversidad Politécnica de Madrid (UPM)MadridSpain
  2. 2.Computational Intelligence GroupUniversity of the Basque Country (UPV/EHU)San SebastiánSpain

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