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Eye movement prediction by Kalman filter with integrated linear horizontal oculomotor plant mechanical model

Published: 26 March 2008 Publication History

Abstract

The goal of this paper is to predict future horizontal eye movement trajectories within a specified time interval. To achieve this goal a linear horizontal oculomotor plant mechanical model is developed. The model consists of the eye globe and two extraocular muscles: lateral and medial recti. The model accounts for such anatomical properties of the eye as muscle location, elasticity, viscosity, eye-globe rotational inertia, muscle active state tension, length tension and force velocity relationships. The mathematical equations describing the oculomotor plant mechanical model are transformed into a Kalman filter form. Such transformation provides continuous eye movement prediction with a high degree of accuracy. The model was tested with 21 subjects and three multimedia files. Practical application of this model lies with direct eye gaze input and interactive displays systems as a method to compensate for detection, transmission and processing delays.

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Komogortsev, O. V. (2007c). Eye Movement Prediction by Oculomotor Plant Modeling with Kalman Filter. Ph.D. Dissertation. Kent, OH, USA: Kent State University.
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Komogortsev, O. (2007d). Perceptual Test Video Set. from www.cs.txstate.edu/~ok11/videosetpercept.htm
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      cover image ACM Conferences
      ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications
      March 2008
      285 pages
      ISBN:9781595939821
      DOI:10.1145/1344471
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      Published: 26 March 2008

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      Author Tags

      1. Kalman filter
      2. eye movement prediction
      3. human computer interaction
      4. oculomotor plant

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      ETRA '08
      ETRA '08: Eye Tracking Research and Applications
      March 26 - 28, 2008
      Georgia, Savannah

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      • (2024)Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their ParametersProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36547017:2(1-20)Online publication date: 17-May-2024
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