문화기술의 융합 (The Journal of the Convergence on Culture Technology)

  • 제8권6호
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  • Pages.905-910
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  • 2022
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  • 2384-0358(pISSN)
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  • 2384-0366(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
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BCG 신호 최적화를 통한 주행중 운전자 수면 상태 분류에 관한 연구

A Study On The Classification Of Driver's Sleep State While Driving Through BCG Signal Optimization

  • 박진수 (한국전자기술연구원 스마트가전혁신지원센터) ;
  • 정지성 (한국전자기술연구원 스마트가전혁신지원센터) ;
  • 양철승 (한국전자기술연구원 스마트가전혁신지원센터) ;
  • 이정기 (한국전자기술연구원 스마트가전혁신지원센터)
  • 투고 : 2022.10.21
  • 심사 : 2022.11.08
  • 발행 : 2022.11.30
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초록

졸음운전은 교통사고 발생률을 높이고 사망사고로 이어지기 때문에 많은 사회적 관심이 필요하다. 졸음운전으로 인한 사고 건수는 매년 증가하고 있다. 따라서 전 세계적으로 이 문제를 해결하기 위해 다양한 생체신호 측정을 위한 연구가 수행되고 있다. 본 논문에서는 그 중에 비접촉 방식의 생체신호 분석에 중점을 두고 있다. 주행중인 차량에서는 엔진, 타이어, 차체 진동 등 다양한 노이즈가 발생한다. 압전센서로 주행중인 차량에서 운전자의 심박수와 호흡수를 측정하기 위해 차량 진동을 완충할 수 있는 센서 플레이트를 설계했고 차량에서 발생하는 노이즈를 줄일 수 있었다. 또한 압전센서의 신호 기반 CNN-LSTM 앙상블 학습 기법으로 모델을 추출하여 운전자가 수면중인지 아닌지 분류하는 시스템을 개발했다. 수면 상태를 학습시키기 위해 30초마다 피험자의 생체 신호를 획득하였고, 797개의 데이터를 비교 분석하였다.

Drowsy driving requires a lot of social attention because it increases the incidence of traffic accidents and leads to fatal accidents. The number of accidents caused by drowsy driving is increasing every year. Therefore, in order to solve this problem all over the world, research for measuring various biosignals is being conducted. Among them, this paper focuses on non-contact biosignal analysis. Various noises such as engine, tire, and body vibrations are generated in a running vehicle. To measure the driver's heart rate and respiration rate in a driving vehicle with a piezoelectric sensor, a sensor plate that can cushion vehicle vibrations was designed and noise generated from the vehicle was reduced. In addition, we developed a system for classifying whether the driver is sleeping or not by extracting the model using the CNN-LSTM ensemble learning technique based on the signal of the piezoelectric sensor. In order to learn the sleep state, the subject's biosignals were acquired every 30 seconds, and 797 pieces of data were comparatively analyzed.

키워드

과제정보

본 연구는 국토교통부의 국토교통기술사업화지원사업의 연구비지원에 의해 수행되었음. [과제명 : 비접촉 생체정보 측정기능이 포함된 스마트 디퓨저 기반 거주자 맞춤형 Home-HAS(Health, Air, Safety) 서비스 개발] [과제번호 : 21TBIP-C161696-01]

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