• DocumentCode
    678002
  • Title

    Explore New Eye Tracking and Gaze Locating Methods

  • Author

    Kadyrov, Alexander ; Hui Yu ; Eyles, Joe ; Honghai Liu

  • Author_Institution
    Sch. of Creative Technol., Univ. of Portsmouth, Portsmouth, UK
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    2866
  • Lastpage
    2871
  • Abstract
    Eye tracking has been used extensively in research, often for plotting the gaze location of research participants. Many of the existing methods on tracking gaze locations, however, require special equipment. This equipment can be very expensive and/or cumbersome to use, restricting the use of it to specialist labs. By producing a method of eye tracking which requires minimal equipment and set up time, eye tracking might be more widely used as a research tool, especially in exploratory areas where the outcomes of the research are not known. This paper introduces two novel eye tracking methods which use only a web cam feed as input and require no specialist equipment. The camera used in this research is a standard web cam built into a normal laptop, any current commercial web cam could be used. Experiments using the proposed method showed more accurate tracking results than some existing eye trackers.
  • Keywords
    cameras; gaze tracking; image matching; camera; eye tracking method; gaze location tracking; gradient intersections; laptop; ray image method; template matching; web cam feed; Correlation; Estimation; Head; Iris; Vectors; Webcams; Eye tracking; circle detection; gaze estimation; player experience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.489
  • Filename
    6722242