Development of an efficient method for eye detection on mobile CE devices

Ilya Lissoboi*, Hiroyuki Kasai

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper the techniques for developing an efficient method of eye gesture tracking are explored. The goal is to verify the possibility of building an effective eye gesture input method relying on built-in hardware of the smart phone platform. The achieved results will be used as a basis for researching the technologies for gaze tracking on a mobile device. Effectiveness is measured according to detection accuracy, robustness, and processing performance. The results show limited success in achieving the stated goals, especially with respect to processing performance and provide a solid foundation for future work.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
Pages337-340
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan, Province of China
Duration: 2012 Jun 42012 Jun 6

Publication series

NameProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Conference

Conference2012 International Symposium on Computer, Consumer and Control, IS3C 2012
Country/TerritoryTaiwan, Province of China
CityTaichung
Period12/6/412/6/6

Keywords

  • eye detection
  • head pose
  • human-computer inteface
  • mobility

ASJC Scopus subject areas

  • Computer Networks and Communications

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