Browse > Article
http://dx.doi.org/10.12815/kits.2013.12.2.045

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

Kim, Jaewoo (계명대학교 전자공학과)
Park, Jaehee (계명대학교 전자공학과)
Lee, Jaecheon (계명대학교 기계자동차공학과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.2, 2013 , pp. 45-51 More about this Journal
Abstract
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.
Keywords
respiration; drowsy; detection; pressure sensor; seat belt; safety driving;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 J. Park, "Plastic optical fiber sensor for measuring driver-gripping force," Opt. Eng., vol. 52, no 2, pp.020501-3, 2011.
2 H. Sjn, S. Jung, J. Kim, and W. Chung," Real time car driver's condition monitoring system," Proc. IEEE Sensors 2010 Conference, pp.951-954, 2010.
3 Y. Lin, H. Leng, G. Yang, H. Cai, "An Intelligent noninvasive sensor for driver pulse wave measurement," IEEE Sensors Journal, vol. 7, no. 5, pp.790-799, 2007.   DOI   ScienceOn
4 I. Yoon, Y. Min, D. Jeong,"Sleep Apnea frequency and severity as correlates of sleep stages and sleeping positions," J Korean Neuropsychiatr Assoc., vol. 34, no. 4, pp.1007-1016, 1995.
5 S. Lee, "Diagnositic aspects of polysomnography in obstructive," J. Korean Med. Assoc., vol. 22, no, 2, pp.138-145, 2012.
6 N. Douglas, D. White, C. Pickett, J. Weil, and C. Zwillich, "Respiration during sleep in normal man," Thorax, vol. 37, no. 11, pp.840-844, 1982.   DOI
7 S. Min, Y. Yun, C. Lee, H. Shin, H. Cho, S. Hwang, M. Lee, "Respiration measurement system using textile capacitive pressure sensor," Trans. KIEE, vol. 52, no. 1, pp.58-63, 2010.   과학기술학회마을
8 J. Kim, K. Kim, K. Jung, J. Lee, J. ahn, S. Lee, "The mobile health-care garment system for measurement of cardiorespiratory signal," J. Korea Information Processing Society A, vol. 17, no. 3, pp.145-152, 2010.   과학기술학회마을   DOI   ScienceOn
9 A. Grillet, D. Kinet, J. Witt, M. Schukar, K. Krebber, F. Pirotte, and A. Depre, " Optical fiber sensors embedded into medical textiles for healthcare monitoring," IEEE Sensors Journal, vol. 8, no. 7, pp.1215-2008, 2008.   DOI   ScienceOn
10 W. Yoo, K. Jang, J. Seo, J. Heo, J. Moon, J. Jun, J. Park, and B. Lee, "Development of optical fiber-based respiration sensor for noninvasive respiration monitoring," Optical Review, vol. 18, no. 1, pp.132-138, 2011.   DOI
11 V. Jordanov, D. Hall, and M. Kastner, " Digital Peak detection with noise threshold," Nuclear Science Symposium Conference Record, pp.140-142, 2002.
12 A. Eskandarian and A. Mortazavi, " Evlation of a smart algorithm for commercial vehicle driver drowsiness detection," Proc. IEEE intelligent Vehicles Symposium, pp.553-559, 2007.
13 M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan, "Automatic recognition of facial actions in spontaneous expressions," J. Multimedia, vol. 1, no 6, pp.22-35, 2006.
14 Q. Ji, Z. Zhu, and P. Lan, "Real-Time nonintrusive monitoring and prediction of driver fatigue," IEEE Trans. Vehicle Technol., vol. 53, no 4, pp.1052-1068, 2004.   DOI   ScienceOn
15 M. Johns, A. Tucker, and R. Chapman, "A new method for monitoring the drowsiness of drivers," Proc. International conference on Fatigue Management in Transportation Operations, pp.2-16, 2005.