• DocumentCode
    714358
  • Title

    Density based eye movement event detection algorithm (in English)

  • Author

    Deniz, Ozan ; Fal, Mehmetcan ; Acarturk, Cengiz

  • Author_Institution
    Bilissel Bilimler Programi, Orta Dogu Teknik Univ., Ankara, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    463
  • Lastpage
    466
  • Abstract
    Extracting eye movement events from raw data has become important upon the introduction of affordable eye trackers. The common approach in current algorithms is that they take into account velocity and position information separately. In this paper, we analyze the pros and cons of the current algorithms and introduce a novel algorithm based on the distribution of raw eye movement data.
  • Keywords
    gaze tracking; human computer interaction; density based eye movement event detection algorithm; eye movement event extraction; eye trackers; position information; raw eye movement data distribution; velocity information; Estimation; Event detection; Hidden Markov models; Kalman filters; Kernel; Smoothing methods; Tracking; Eye tracking; eye movement algorithms; eye movements; human compouter interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129859
  • Filename
    7129859