A Study on the Blink Pattern Extraction of a Driver in Drowsy State

졸음감지를 위한 깜박임 패턴 검출에 관한 연구

  • Kim, B.J. (Dept. of Biomedical Engineering, Graduate School, Chonbuk National University) ;
  • Park, S.S. (Dept. of Biomedical Engineering, Graduate School, Chonbuk National University) ;
  • Oh, S.G. (Dept. of Biomedical Engineering, Graduate School, Chonbuk National University) ;
  • Kim, N.G. (Dept. of Biomedical Engineering, College of Medicine, Chonbuk National University)
  • 김법중 (전북대학교 대학원 의용생체공학과) ;
  • 박상수 (전북대학교 대학원 의용생체공학과) ;
  • 오승곤 (전북대학교 대학원 의용생체공학과) ;
  • 김남균 (전북대학교 의과대학 의공학교실)
  • Published : 1997.05.23

Abstract

In this study, we propose a non-invasive method to detect the drowsiness of a driver. The computer vision technology was used to extract an eye, track eyelids and measure the parameters related to the blink. We examined the blink patterns of a driver in drowsy state. For the evaluation of our image processing algorithm, the blink patterns were compared with the measured EOG signals. The result showed that our algorithm might be available in detection of drowsiness.

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