Gaze tracking with particle swarm optimization

Wen Chung Kao, Chia Yi Lee, Chun Yi Lin, Ting Yi Su, Bai Yueh Ke, Chung Yu Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In order to develop the next generation of gaze tracking system that can operate under visible lighting conditions, the difficulty of estimating limbus circle in real time needs to be solved. The iris model-based approaches excel the feature-based ones, but high computation complexity remains a problem. This paper presents an advanced iris model-based matching algorithm which adopts particle swarm optimization (PSO) to improve the overall performance. As a result, the developed system achieves high accuracy and the objective of 30 frames.

Original languageEnglish
Title of host publication2015 International Symposium on Consumer Electronics, ISCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373654
DOIs
Publication statusPublished - 2015 Aug 4
EventIEEE International Symposium on Consumer Electronics, ISCE 2015 - Madrid, Spain
Duration: 2015 Jun 242015 Jun 26

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE
Volume2015-August

Other

OtherIEEE International Symposium on Consumer Electronics, ISCE 2015
CountrySpain
CityMadrid
Period15/6/2415/6/26

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Keywords

  • gaze tracking
  • iris matching
  • particle swarm optimization (PSO)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kao, W. C., Lee, C. Y., Lin, C. Y., Su, T. Y., Ke, B. Y., & Liao, C. Y. (2015). Gaze tracking with particle swarm optimization. In 2015 International Symposium on Consumer Electronics, ISCE 2015 [7177836] (Proceedings of the International Symposium on Consumer Electronics, ISCE; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCE.2015.7177836