한국ITS학회 논문지 (The Journal of The Korea Institute of Intelligent Transport Systems)

  • 제12권2호
  • /
  • Pages.45-51
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  • 2013
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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호흡기반 운전자 졸음 감지를 위한 압력센서 시스템

A pressure sensor system for detecting driver's drowsiness based on the respiration Paper Template for the KITS Review

  • 김재우 (계명대학교 전자공학과) ;
  • 박재희 (계명대학교 전자공학과) ;
  • 이재천 (계명대학교 기계자동차공학과)
  • 투고 : 2013.01.10
  • 심사 : 2013.04.04
  • 발행 : 2013.04.30
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초록

본 논문에서 호흡 기반의 운전자 졸음 감지 센서 시스템에 대해 언급하였다. 센서 시스템은 운전자의 복부 부분 안전벨트에 장착된 PZT 압력센서와 개인용 컴퓨터로 구성됐다. PZT 압력센서는 호흡 시 운전자 복부의 움직임에 의해 압력센서에 가해지는 압력의 변화를 측정하기 위해 사용되었고 운전자의 졸음을 감지하기 위한 신호처리는 Labview를 사용하여 개발됐다. 30세 남자 운전자를 상대로 운전자 졸음 감지 관련 실험들이 수행되어 졌다. 운전자가 각성상태일때 호흡의 크기는 졸음상태일 때보다 컸으며 반대로 호흡 주파수는 낮았다. 이런 실험을 바탕으로 제작된 졸음 감지 센서 시스템은 운전자의 졸음을 성공적으로 실시간 감지할 수 있었다.

In this paper, a driver's drowsy detection sensor system based on the respiration is investigated. The sensor system consists of a piezoelectric pressure sensor attached at the abdominal region of the seat belt and a personal computer. The piezoelectric pressure sensor was utilized for the measurement of pressure variations induced by the movement of the driver abdomen during breathing. The signal processing software for detecting driver's drowsiness was produced using the Labview. The experiments were performed with 30 years male driver. The amplitude of the respiration at awake state was larger than one at the drowsy state. On the contrary, the respiration rate at awake state was lower than one at the drowsy state. The drowsy detection sensor system developed based on the experimental could successfully detect the driver's drowsy on real-time.

키워드

참고문헌

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피인용 문헌

  1. 계측 유형별 풍속 데이터 분석을 통한 도로표지의 안정성 확보 방안에 관한 연구 vol.18, pp.2, 2017, https://doi.org/10.5762/kais.2017.18.2.77
  2. 다중 웨어러블 센서를 활용한 운전자 상태 인식 vol.6, pp.6, 2013, https://doi.org/10.3745/ktccs.2017.6.6.271