A model of the human smooth pursuit system based on an unsupervised adaptive controller

PW Koken*, HJJ Jonker, CJ Erkelens

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

A first attempt was made, on the basis of Pavel's proposal [18], to integrate a predictive mechanism into a model of the human smooth pursuit system, The predictive mechanism contained an adaptive filter based on the LMS algorithm, Smooth pursuit simulations were made of a large variety of target movements, The model provides a fairly good qualitative and mostly also a fairly good quantitative description of human tracking of the various stimuli. However, when the model was applied to the tracking of sinusoidal target movements with frequencies higher than about 1 Hz, it performed even better than the human smooth pursuit system.

Original languageEnglish
Pages (from-to)275-280
Number of pages6
JournalIEEE transactions on systems, man, and cybernetics. Part A, Systems and humans
Volume26
Issue number2
Publication statusPublished - Mar 1996

Keywords

  • SLOW OCULOMOTOR CONTROL
  • EYE-MOVEMENTS
  • EXPECTATIONS
  • TRACKING
  • VERGENCE

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