Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces

  • Oleg V. Komogortsev
  • Javed I. Khan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4552)


In this paper, we design an Attention Focus Kalman Filter (AFKF) - a framework that offers interaction capabilities by constructing an eye-movement language, provides real-time perceptual compression through Human Visual System (HVS) modeling, and improves system’s reliability. These goals are achieved by an AFKF through identification of basic eye-movement types in real-time, the prediction of a user’s perceptual attention focus, and the use of the eye’s visual sensitivity function and eye-position data signal de-noising.


Human Visual System Modeling Kalman Filter Human Computer Interaction Perceptual Compression 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Oleg V. Komogortsev
    • 1
  • Javed I. Khan
    • 1
  1. 1.Perceptual Engineering Laboratory, Department of Computer Science, Kent State University, Kent, OH, 44242USA

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