Gaze tracking for smart consumer electronics

Wen-Chung Kao, Sheng Ju Wu, Wei Te Chang

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

4 Citations (Scopus)

Abstract

Real-time gaze tracking would be a key function for smart consumer electronics in the near future. But most gaze tacking system relies on strong IR light to enhance illumination, thus this results in poor user experience. In this paper, we present a high speed eye tracking system which is operated in a normal lighting condition. In addition to some image enhancement steps, the new system includes a dynamic training/prediction stage to further improve the detection accuracy of gaze points. The experimental result shows that the system can achieve the accuracy of 0.76° and 1.43° for the horizontal and vertical coordinates of the detected iris center, respectively.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages167-168
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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