The real-time eye-controlled system based on the near-field video streams

Jingyang Chen*, Jie Han, Tian Lan, Xiaoqiong Li

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Eye movement is a direct expression of human's visual intent. The paper presents a novel system which is focusing on utilizing eye movement information as control source and the video streams from a remote pan-tilt-zoom (PTZ) camera as feedback. By processing left and right eye images simultaneously, the system can recognize the direction of eye movement and adjust the motion of remote PTZ camera to synchronize with the eye movement. Meanwhile, the user who is wearing video glasses (head-mounted display) can see the images captured by the PTZ camera. Besides, a robust algorithm is also put forward to overcome the interferences caused by the instability of background brightness and ways of wearing video glasses.

Original languageEnglish
Title of host publicationITME 2011 - Proceedings
Subtitle of host publication2011 IEEE International Symposium on IT in Medicine and Education
Pages642-647
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011 - Guangzhou, China
Duration: 9 Dec 201111 Dec 2011

Publication series

NameITME 2011 - Proceedings: 2011 IEEE International Symposium on IT in Medicine and Education
Volume2

Conference

Conference2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011
Country/TerritoryChina
CityGuangzhou
Period9/12/1111/12/11

Keywords

  • HCI
  • eye movement
  • eye tracking
  • eye-controlled
  • visual information

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