Optimizing video-oculography systems by simulating the effect of slippage artifacts

Michael Platz, Thomas Haslwanter, James Ong

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Video-Oculography systems (VOG), video based systems for measuring eye movements, are widely available as a supporting tool for clinical diagnosis of eye movement. The main remaining weakness of these systems is the difficulty to distinguish between eye movements and movements of the camera with respect to the head. In our project we try to classify between movement of the eye and movement of the camera of the VOG system by examining the effect of eye movement and camera movement on the position changes of the center of the pupil and the reflection of a light source which is directly attached to the camera in the image data of VOG systems. Therefore we implemented a simulation model of the eye and of a VOG system to investigate the effect of pure eye movement, pure camera movement and combined eye-camera movement on the objects in the image data.

Original languageEnglish
Title of host publicationProceedings of 21st European Modeling and Simulation Symposium EMSS 2009
PublisherDIPTEM University of Genova
Publication statusPublished - 2009
Event21st European Modeling and Simulation Symposium, EMSS 2009 - Puerto de la Cruz, Spain
Duration: 23 Sep 200925 Sep 2009

Conference

Conference21st European Modeling and Simulation Symposium, EMSS 2009
CountrySpain
CityPuerto de la Cruz
Period23.09.200925.09.2009

Keywords

  • Camera slippage
  • Eye movement measurement
  • Video oculography

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