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Comparison of eye movement filters used in HCI

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings - ETRA 2012: Eye Tracking Research and Applications Symposium
Pages281-284
Number of pages4
DOIs
Publication statusPublished - 2012
Publication typeA4 Article in a conference publication
Event7th Eye Tracking Research and Applications Symposium, ETRA 2012 - Santa Barbara, CA, United States
Duration: 28 Mar 201230 Mar 2012

Conference

Conference7th Eye Tracking Research and Applications Symposium, ETRA 2012
CountryUnited States
CitySanta Barbara, CA
Period28/03/1230/03/12

Abstract

We compared various real-time filters designed to denoise eye movements from low-sampling devices. Most of the filters found in literature were implemented and tested on data gathered in a previous study. An improvement was proposed for one of the filters. Parameters of each filter were adjusted to ensure their best performance. Four estimation parameters were proposed as criteria for comparison. The output from the filters was compared against two idealized signals (the signals denoised offline). The study revealed that FIR filters with triangular or Gaussian kernel (weighting) functions and parameters dependent on signal state show the best performance.

Keywords

  • algorithms, eye tracking, filters, gaze, smoothing