A study on non-intrusive facial and eye gaze detection

Kang Ryoung Park, Min Cheol Whang, Joa Sang Lim

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

5 Scopus citations

Abstract

To detect accurate human gaze position is vey difficult, but important problem for many applications. For that, it is requisite to detect the facial and eye movement accurately and fastly. So, we implemented a real-time gaze tracking system based on facial and eye movement. The performance of detecting facial features could be enhanced by Support Vector Machine and the eye gaze position on a monitor could be generalized by a multi-layered perceptron. And two gaze positions were geometically summed and final gaze position was acquired. Experimental results showed that the RMS error of gaze detection is about 2.4 degrees (1.68 degrees on X axis and 1.71 degrees on Y axis at the Z distance of 50 cm).

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 7th International Conference, ACIVS 2005, Proceedings
PublisherSpringer Verlag
Pages52-59
Number of pages8
ISBN (Print)354029032X, 9783540290322
DOIs
StatePublished - 2005
Event7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005 - Antwerp, Belgium
Duration: 20 Sep 200523 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3708 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005
Country/TerritoryBelgium
CityAntwerp
Period20/09/0523/09/05

Keywords

  • Facial and Eye Movement
  • Gaze Detection

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