Eye blink detection using monocular system and its applications

Koichi Takahashi, Yasue Mitsukura

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

5 Citations (Scopus)

Abstract

In this paper, we propose a practical method for eye blink detection using a monocular system. Eye blink detection is an important technology in many situations such as facial action analysis and signal processing. However, automatic eye blink detection is quite difficult since the eye blink is occurred fast. Fast head tracking and eye detection methods are therefore required in real environment. The proposed method is based on the facial feature point tracking algorithm by using particle filtering. The proposed method works at over 60fps and is able to detect accurate blink motion in real time although our system require only one USB camera. In order to confirm the effectiveness, we show some of applications using our blink detection system.

Original languageEnglish
Title of host publication2012 IEEE RO-MAN
Subtitle of host publicationThe 21st IEEE International Symposium on Robot and Human Interactive Communication
Pages743-747
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 14
Event2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France
Duration: 2012 Sep 92012 Sep 13

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
CountryFrance
CityParis
Period12/9/912/9/13

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Eye blink detection using monocular system and its applications'. Together they form a unique fingerprint.

Cite this