Robust gaze estimation for human computer interaction

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

5 Scopus citations

Abstract

To achieve natural human computer interface, a new gaze detection method is proposed, which allows user's natural head and eye movement with one camera system and four IR-LED illuminators. This paper has following 4 advancements compared to previous works. First, all procedures for detecting gaze position are operated automatically. Second, although we use the see-through glasses 'attached with eye detecting camera, the change of facial position cannot affect the gaze detection accuracy. Third, we use elliptical hough transform and geometric transform in order to detect accurate pupil region. Fourth, to solve the problem of ambiguous coin face-on of pupil shape, we use the EKF (Extended Kalman Filter) and can track continuous eye movement.

Original languageEnglish
Title of host publicationPRICAI 2006
Subtitle of host publicationTrends in Artificial Intelligence - 9th Pacific Rim International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages1222-1226
Number of pages5
ISBN (Print)3540366679, 9783540366676
DOIs
StatePublished - 2006
Event9th Pacific Rim International Conference on Artificial Intelligence - Guilin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4099 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific Rim International Conference on Artificial Intelligence
Country/TerritoryChina
CityGuilin
Period7/08/0611/08/06

Keywords

  • EKF
  • Elliptical Hough Transform
  • Gaze Detection
  • Geometric Transform

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