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Analysis of eye tracking movements using FIR median hybrid filters

Published: 08 November 2000 Publication History

Abstract

This paper presents an approach of using FIR Median Hybrid Filters for analysis of eye tracking movements. The proposed filter can remove the eye blink artifact from the eye movement signal. The background of the project is described first. The whole idea is to put movements into eyes, which are used as static prosthesis, so that the ocular implant will have the same natural movement as the real eye. First step is to obtain the movement of the real eye. From the review of the eye movement methods, the electro-oculogram (EOG) is used to determine the eye position. Because the eye blink artifact is always corrupted in the EOG signal, it must be filtered out for the purpose of our project. The FIR Median Hybrid Filter is studied in the paper; its properties are explored with examples. Finally the filter is used to deal the real eye blink corrupted EOG signal. Examples are given of analysis procedure for eye tracking or a random moving target. The method is proved to be highly reliable.

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Cited By

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  • (2018)Enhancing the usability of low-cost eye trackers for rehabilitation applicationsPLOS ONE10.1371/journal.pone.019634813:6(e0196348)Online publication date: 1-Jun-2018
  • (2012)Comparison of eye movement filters used in HCIProceedings of the Symposium on Eye Tracking Research and Applications10.1145/2168556.2168616(281-284)Online publication date: 28-Mar-2012
  • (2009)Multivariate analysis of full-term neonatal polysomnographic dataIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2008.200719313:1(104-110)Online publication date: 1-Jan-2009
  • Show More Cited By

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Published In

cover image ACM Conferences
ETRA '00: Proceedings of the 2000 symposium on Eye tracking research & applications
November 2000
147 pages
ISBN:1581132808
DOI:10.1145/355017
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 November 2000

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Author Tags

  1. FIR median hybrid filter
  2. electrooculogram
  3. eye blink
  4. eye movement

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ETRA00
ETRA00: Eye Tracking Research & Application
November 6 - 8, 2000
Florida, Palm Beach Gardens, USA

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ETRA '00 Paper Acceptance Rate 18 of 29 submissions, 62%;
Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all
  • (2018)Enhancing the usability of low-cost eye trackers for rehabilitation applicationsPLOS ONE10.1371/journal.pone.019634813:6(e0196348)Online publication date: 1-Jun-2018
  • (2012)Comparison of eye movement filters used in HCIProceedings of the Symposium on Eye Tracking Research and Applications10.1145/2168556.2168616(281-284)Online publication date: 28-Mar-2012
  • (2009)Multivariate analysis of full-term neonatal polysomnographic dataIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2008.200719313:1(104-110)Online publication date: 1-Jan-2009
  • (2002)NOISE AND OUTLIER REMOVAL FROM JET ENGINE HEALTH SIGNALS USING WEIGHTED FIR MEDIAN HYBRID FILTERSMechanical Systems and Signal Processing10.1006/mssp.2002.147716:6(967-978)Online publication date: Nov-2002

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