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졸음 판단을 위한 눈과 입의 개폐 빈도수 측정 및 분석

Measure and Analysis of Open-Close Frequency of Mouth and Eyes for Sleepiness Decision

  • 성재경 (을지대학교 의료IT마케팅학과) ;
  • 최인호 (세종대학교 컴퓨터공학과) ;
  • 박상민 (세종대학교 컴퓨터공학과) ;
  • 김용국 (세종대학교 컴퓨터공학과)
  • 투고 : 2014.04.18
  • 심사 : 2014.06.13
  • 발행 : 2014.06.30

초록

본 논문에서는 운전자의 졸음 판단에 필요한 눈 깜빡임과 하품에 대해 실시간 빈도수 측정 프로그램을 제안한다. 사용자의 눈과 입의 개폐 빈도수 측정을 위해서 CCD 카메라 영상을 기반으로 OpenCV를 이용하여 얼굴을 검출한 후, 검출된 얼굴을 기반으로 눈동자 영역 추출 기술인 CDF(Cumulative Distribution Function)를 사용하여 눈의 위치를 찾아서 활성 윤곽(Active Contour) 기술을 이용하여 눈과 입의 영역을 추출한다. 추출된 눈과 입의 영역을 본 프로그램을 이용하여 각 각의 개폐 빈도수를 측정하며 결과 값을 분석하여 사용자의 졸음 판단을 위한 기반 기술로 활용한다.

In this paper, we propose real-time program that measure open-close frequency of mouth and eyes to detect drowsiness of a driver. This program detects a face to the CCD camera image using OpenCV library. Then that extracts each area using CDF for eye detection and Active Contour for mouth detection based on detected face. This system measures each frequency of Open-Close using extracted area data of eyes and mouth. We propose foundation technique how to perform sleepiness decision of users based on measurement data.

키워드

참고문헌

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피인용 문헌

  1. Sleepiness Determination of Driver through the Frequency Analysis of the Eye Opening and Shutting vol.26, pp.6, 2016, https://doi.org/10.5391/JKIIS.2016.26.6.464