• DocumentCode
    3549041
  • Title

    Eye gaze tracking under natural head movements

  • Author

    Zhu, Zhiwei ; Ji, Qiang

  • Author_Institution
    Dept. of Electr. Comput. & Sci. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    918
  • Abstract
    Most available remote eye gaze trackers based on pupil center corneal reflection (PCCR) technique have two characteristics that prevent them from being widely used as an important computer input device for human computer interaction. First, they must often be calibrated repeatedly for each individual; second, they have low tolerance for head movements and require the user to hold the head uncomfortably still. In this paper, we propose a solution for the classical PCCR technique that simplify the calibration procedure and allow free head movements. The core of our method is to analytically obtain a head mapping function to compensate head movement. Specifically, the head mapping function allows to automatically map the eye movement measurement under an arbitrary head position to a reference head position so that the gaze can be estimated from the mapped eye measurement with respect to the reference head position. Furthermore, our method minimizes the calibration procedure to only one time for each individual. Our proposed method significantly improves the usability of the eye gaze tracking technology, which is a major step for eye tracker to be accepted as a natural computer input device.
  • Keywords
    calibration; computer vision; human computer interaction; interactive devices; tracking; calibration procedure; computer input device; eye gaze tracking; eye movement measurement; head mapping; head position; human computer interaction; natural head movements; pupil center corneal reflection; Calibration; Cameras; Computer vision; Head; Human computer interaction; Motion measurement; Position measurement; Reflection; Tracking; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.148
  • Filename
    1467364