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

  • Oleg V. Komogortsev
  • Javed I. Khan
Conference paper

DOI: 10.1007/978-3-540-73110-8_74

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4552)
Cite this paper as:
Komogortsev O.V., Khan J.I. (2007) Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces. In: Jacko J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg

Abstract

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.

Keywords

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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