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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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Development of a Sleep-driving Accident Prevention System based on pulse

인공지능연구 / Korean Journal of Artificial Intelligence, (E)2508-7894
2018, v.6 no.1, pp.11-15
https://doi.org/https://doi.org/10.24225/kjai.2018.6.1.11
Bae, Seung-Woo (Dept. of Medical IT, Eulji University)
Seo, Jung-Hwa (Ephata Strategy Development Institute)
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Abstract

The purpose of this study is to develop a pulsatile drowsiness detection system that can compensate the limitations of existing camera - based or breathing pressure sensor based Drowsiness driving prevention systems. A heart rate sensor mounted on the driver's finger and an alarm system that sounds when drowsiness is detected. The heart rate sensor was used to measure pulse changes in the wrist, and an alarm system based on the Arduino, which works in conjunction with the laptop, generates an audible alarm in the event of drowsiness. In this paper, we assume that the pulse rate of the drowsy state is 60 ~ 65 times / minute, which is the middle between the awake state and the sleep state. As a result of the experiment, the alarm sounded when the driver's pulse rate was in the drowsy pulse rate range. Based on these experiments, the drowsiness detection system was able to detect the drowsiness of the driver successfully in real time. A more effective drowsiness prevention system can be developed in the future by incorporating the results of the present study on a pulse-based drowsiness prevention system in an existing drowsiness prevention system.

keywords
Drowsiness, Driving, Pulse Number, Prevention Systems, Sensor

인공지능연구