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

Author

Koken, Phil W. ; Jonker, Harm J J ; Erkelens, Casper J.

Author_Institution

Helmholtz Inst., Utrecht Univ., Netherlands

Volume

26

Issue

2

fYear

1996

fDate

3/1/1996 12:00:00 AM

Firstpage

275

Lastpage

280

Abstract

A first attempt was made, on the basis of Pavel´s proposal (1990), 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

Keywords

adaptive control; adaptive filters; biocontrol; eye; least mean squares methods; physiological models; vision; LMS algorithm; adaptive filter; human smooth pursuit system; predictive mechanism; sinusoidal target movements; unsupervised adaptive controller; Adaptive control; Adaptive filters; Humans; Least squares approximation; Low pass filters; Predictive models; Programmable control; Retina; Switches; Target tracking;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Publisher

ieee

ISSN

1083-4427

Type

jour

DOI

10.1109/3468.485755

Filename

485755