The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Relationship between Posture Recognition and Drowsy Driving

자세인식과 졸음운전과의 상관관계에 대한 연구

  • Jang, Bong-Hwan (Dept. of Electrical and Electronic Engineering, Dankook University) ;
  • Park, In-Ho (Dept. of Electrical and Electronic Engineering, Dankook University) ;
  • Nam, Hyun-Do (Dept. of Electrical and Electronic Engineering, Dankook University) ;
  • Kim, Kyung-Ho (Dept. of Electrical and Electronic Engineering, Dankook University)
  • Received : 2018.06.04
  • Accepted : 2018.06.25
  • Published : 2018.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, there have been a lot of sleepy driving accidents. In this study, we conducted a preliminary study for detecting drowsiness using posture and image processing technology. We used pressure sensors to study posture. We also investigated the possibility of drowsy recognition using histogram. As a result of the experiment, it was possible to distinguish positions through pressure sensors. Also, it was confirmed that the drowsiness phenomenon can be distinguished by using the histogram.

Keywords

References

  1. Ministry of Land Infrastructure and Transport Statistics System. http://stat.molit.go.kr
  2. (TASS) Traffic Accident Analysis System. http://taas.koroad.or.kr
  3. G. Li, B.L. Lee, and W.Y. Chung, "Smartwatch-Based Wearable EEG System for Driver Drowsiness Detection", Journal of IEEE Sensors, vol. 15, no. 12, pp. 7169-7180, 2015. https://doi.org/10.1109/JSEN.2015.2473679
  4. Y. J. Kim, Y. M. Kim, and M. S. Hahn, "Detecting Driver Fatigue Based on the Driver's Response Pattern and the Font View Environment of an Automobile", Universal communication, 2008. ISUC'08. Second International Symposium on, pp. 237-240, 2008.
  5. M. Omidyeganeh, A. Javadtalab, and S. Shirmohammadi, "Intelligent Driver Drowsiness Detection through Fusion of Yawning and Eye Closure", Proceeding of IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp. 1-6, 2011.
  6. S. Abtahi, B. Hariri, and S. Shirmohammadi, "Driver Drowsiness Monitoring Based on Yawning Detection", IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-4, 2013.
  7. Kim, M. S., Kim, Y. N., and Heo, Y. S., 2014, "Characteristics of Heart Rate Variability Derived from ECGduring the Driver's Wake and Sleep States", Transactions of KSAE, vol. 22, no. 3, pp. 136-142. https://doi.org/10.7467/KSAE.2014.22.3.136
  8. Hu. H., Park S. S., Lee Y. S., "Development of a Driver Status Monitoring System Using a Driving Simulator", Conference and Exhibition of KSAE, pp. 1986-1993, 2009
  9. Do Re-mi "Drowsy prevention system using infrared ray camera", master thesis 2008.
  10. A. Rahman, M. Sirshar, and A. Khan, "Real Time Drowsiness Detection using Eye Blink Monitoring", Proceeding of IEEE National Software Engineering Conference (NSEC), pp. 1-7, 2015.