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Article:Development of a drowsiness warning system based on the fuzzy logic

by Nidhi Sharma, Prof. V. K. Banga
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 9
Year of Publication: 2010
Authors: Nidhi Sharma, Prof. V. K. Banga
10.5120/1239-1715

Nidhi Sharma, Prof. V. K. Banga . Article:Development of a drowsiness warning system based on the fuzzy logic. International Journal of Computer Applications. 8, 9 ( October 2010), 1-6. DOI=10.5120/1239-1715

@article{ 10.5120/1239-1715,
author = { Nidhi Sharma, Prof. V. K. Banga },
title = { Article:Development of a drowsiness warning system based on the fuzzy logic },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 9 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number9/1239-1715/ },
doi = { 10.5120/1239-1715 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:56.353002+05:30
%A Nidhi Sharma
%A Prof. V. K. Banga
%T Article:Development of a drowsiness warning system based on the fuzzy logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 9
%P 1-6
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, driving support systems, such as car navigation systems, are getting common, and they support drivers in several aspects. It is important for driving support systems to detect status of driver's consciousness. Particularly, detecting driver's drowsiness could prevent drivers from collisions caused by drowsy driving. In this paper, we discuss a system and a method for detecting driver's drowsiness, which uses the Image processing and Fuzzy logic to detect Driver’s drowsiness.

References
  1. Azim Eskandarian, Member, IEEE and Ali Mortazavi (2007).“Evaluation of a Smart Algorithm for Comme -rcial Vehicle Driver Drowsiness Detection.” IEEE Intelligent Vehicles Symposium Istanbul,Turkey, June 13-15
  2. Eriksson, M and Papanikolopoulos, N.P(1997) “Eye- Tracking for Detection of Driver Fatigue”, IEEE Intelligent Transport System Proceedings, 314-319.
  3. Fukuda, J.Akutsu, E., & Aoki, K. (1995).” An estimation of driver’s drowsiness level using Keeping”. JSAE Review, 16, 185–199.
  4. Face Detection Using Colour Thresholding and Eigen Image Template Matching Diedrick Marius,Sumita Pennathur and Klint Rose.
  5. Haisong Gu, Yongmian Zhang, and Qiang Ji, (2005). “Task oriented facial behaviour recognition with selective sensing, Compute. Vis. Image Understat”. vol. 100, no.3, 385–415.
  6. Kim Hong, Chung (2005)“Electroencephalogram- raphic study of drowsiness in simulated driving with Sleep deprivation”. International Journal of Industrial Ergonomics, Volume 35, Issue 4, April 2005, 307- 320.
  7. K. Harimast (2002) “Human Maehinc. Intedae in an Intelligent vehicle” SAU.vol.56, 4-7.
  8. L.Barr, H.Howrah, S.Popkin, RJ.Carrol l(2009) “ A review and evaluation of emerging driver fatigue detection, measures and technologies”, A Report of US department of transportation Washington DC.
  9. Lin, S. H., Kung, S. Y., & Lin, L. J. (1997). “Face recognition/detection by probabilistic decision-based neural network.”IEEE Transactions on Neural Networks, 8(1), 114–132 .
  10. L. Sirovich and M. Kirby (1987). “Low-dimensional procedure for the characterization of human faces”, Journal of Optical Society of America, vol. 4, 519.
  11. Mai Suzuki, Nozomi Yamamoto, Osami Yamamoto, Tomoaki Nakano and Shin Yamamoto (2006). “Measurement of Driver's Consciousness by Image Processing-A Method for Presuming Driver's Drowsiness by Eye-Blinks coping with Individual Differences”.IEEE International Conference on Systems, Man, and Cybernetics,October 8-11 Taipei, Taiwan.
  12. NHTSA (2009), “Drowsy driver’s detection and warning system for commercial vehicle drivers: Field proportional test design, analysis, and progress “National Highway Traffic Safety Administration, Washington, DC- June 2009.
  13. Perez, C. A., Palma, A., Holzmann, C. A., & Pena (2001). “Face and eye tracking algorithm based on digital image processing”. IEEE International Conference, 2 .1178–1183.
  14. P.P. Caffier, U. Erdmann, and P. Ullsperger (2003) “Experimental evaluation of eye-blink parameters as a Drowsiness measure”, Eur J Appl Physiol, 89(3-4). 319-325.
  15. S.Singh. N.P.Fapanikolopaulas (1999) “Monitoring Driver Fatigue Using Facial Analysis Technologies”. Proceedings of IEEE international conference on the Intelligent Transportation.
  16. Seki, M., Shimotani, M., & Nishida, M. (1998). “A study of blink detection using bright pupils”. JSAE Review, 19. 49–67.
  17. Sugiyama, K., Nakano, T., Yamamoto, S., Ishihara, T., Fujii, H., & Akutsu, E. (1996). “Method of detecting drowsiness level by utilizing blinking duration”. JSAE Paper 9630273.
  18. Ueno, H. Kaneda & Tasukino (1994). “Development of drowsiness detection system”. In Vehicle navigation and information system conference. 15– 20.
Index Terms

Computer Science
Information Sciences

Keywords

Drowsiness warning system Vehicle safety Image processing Fuzzy logic inference

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