• DocumentCode
    3684414
  • Title

    On the tridimensional estimation of the gaze point by a stereoscopic wearable eye tracker

  • Author

    Antonio Lanata;Alberto Greco;Gaetano Valenza;Enzo Pasquale Scilingo

  • Author_Institution
    Research Center E.Piaggio, School of Engineering, University of Pisa, Italy
  • fYear
    2015
  • Firstpage
    2283
  • Lastpage
    2286
  • Abstract
    This paper reports a novel stereo-vision-method (binocular system-geometrical mapped (BS-GM)) to estimate the depth coordinates of the eye gaze point in a controlled 3D space of vision. The method outcomes were compared in both 2D and 3D visual targets with both mono- and stereo-vision algorithms in order to estimate accuracy of results. More specifically, we compared BS-GM with a monocular method and with two stereo-vision methodologies which were different in order to the mapping functions. All of the methods were implemented in the same head mounted eye tracking system able to acquire both eyes. In 2D visual space (i.e. plane of vision) we compared BS-GM with a monocular method, a binocular system-linear mapped (BS-LM) and a binocular system-quadratic mapped (BS-QM). In the 3D space estimation all of the binocular systems were compared each other. Thirteen enrolled subjects observed 31 targets of known coordinates in a controlled environment. Results achieved on 2D comparison showed no statistical significant difference among the four methods, while the comparison on 3D space of vision showed that BS-GM method achieved a significant better accuracy than BS-LM and BS-QM method. Specifically, BS-GM showed and average percentage error obit of 3.47%.
  • Keywords
    "Three-dimensional displays","Accuracy","Head","Gaze tracking","Estimation","Stereo image processing","Cameras"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318848
  • Filename
    7318848