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Eye-gaze systems - An analysis of error sources and potential accuracy in consumer electronics use cases

  • University of Galway

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

8 Citations (Scopus)

Abstract

Several generic CE use cases and corresponding techniques for eye gaze estimation (EGE) are reviewed. The optimal approaches for each use case are determined from a review of recent literature. In addition, the most probable error sources for EGE are determined and the impact of these error sources is quantified. A discussion and analysis of the research outcome is given and future work outlined.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics, ICCE 2016
EditorsFrancisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages319-320
Number of pages2
ISBN (Electronic)9781467383646
DOIs
Publication statusPublished - 10 Mar 2016
EventIEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States
Duration: 7 Jan 201611 Jan 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Conference

ConferenceIEEE International Conference on Consumer Electronics, ICCE 2016
Country/TerritoryUnited States
CityLas Vegas
Period7/01/1611/01/16

Keywords

  • eye gaze estimation methods
  • eye-trackers
  • gaze estimation error sources
  • smartphones

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