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An online noise filter for eye-tracker data recorded in a virtual environment

Published: 26 March 2008 Publication History

Abstract

A Recursive Online Weight Average filter (ROWA) is proposed to remove and replace noisy data obtained from eye tracker. Since the filter can be implemented online, it can detect and replace noisy data using solely past records. Simulations results indicate that the filter achieved the same performance compared to other standard offline filters while being simpler.

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Published In

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
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: 26 March 2008

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Author Tags

  1. eye-blinks
  2. eye-tracker
  3. noise removal
  4. online filtering

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

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

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  • (2025)The fundamentals of eye tracking part 4: Tools for conducting an eye tracking studyBehavior Research Methods10.3758/s13428-024-02529-757:1Online publication date: 6-Jan-2025
  • (2024)Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345615330:11(7234-7244)Online publication date: 1-Nov-2024
  • (2019)Understanding Eye Movement Signal Characteristics Based on Their Dynamical and Fractal FeaturesSensors10.3390/s1903062619:3(626)Online publication date: 1-Feb-2019
  • (2014)Continuous versus intermittent presentation of visual eco-driving adviceTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2014.02.00724(27-38)Online publication date: May-2014
  • (2014)Cognitive workload and visual behavior in elderly drivers with hearing lossEuropean Transport Research Review10.1007/s12544-014-0139-z6:4(377-385)Online publication date: 29-May-2014
  • (2013)A survey on automatic techniques for enhancement and analysis of digital photographyJournal of the Brazilian Computer Society10.1007/s13173-013-0102-119:3(341-359)Online publication date: 26-Mar-2013
  • (2012)Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data SetsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2011.217478613:2(553-564)Online publication date: 1-Jun-2012

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