Research Article
A Novel Method for Identifying the Drowsiness while Driving
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 132 - Issue 13 |
| Published: December 2015 |
| Authors: Hemantkumar B. Mali, Shashikant D. Lokhande |
10.5120/ijca2015907611
|
Hemantkumar B. Mali, Shashikant D. Lokhande . A Novel Method for Identifying the Drowsiness while Driving. International Journal of Computer Applications. 132, 13 (December 2015), 33-36. DOI=10.5120/ijca2015907611
@article{ 10.5120/ijca2015907611,
author = { Hemantkumar B. Mali,Shashikant D. Lokhande },
title = { A Novel Method for Identifying the Drowsiness while Driving },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 132 },
number = { 13 },
pages = { 33-36 },
doi = { 10.5120/ijca2015907611 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Hemantkumar B. Mali
%A Shashikant D. Lokhande
%T A Novel Method for Identifying the Drowsiness while Driving%T
%J International Journal of Computer Applications
%V 132
%N 13
%P 33-36
%R 10.5120/ijca2015907611
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This algorithm gives insight into the possible technique to recognize the state of the eye whether open or close. The algorithm explores the various features of the eyes when in closed and in open states. Using this feature, the decision is made whether the state of the eye is closed or open to detect drowsiness while driving.
References
- Rajat Garg, Veenet Agarwal and Vikrant Gupta, “A drowsy driver detection system and security systems,” IEEE, 2009.
- Paul Viola and Michael Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” Computer vision and Pattern recognition, July 2001.
- Srinivasu and Praveen Kumar, “Driver Drowsiness Detection to Reduce the Major Road Accidents in Automotive Vehicles,” International Research Journal of Engineering and Technology, Vol.2.Isssue 1, April 2015, pp. 345-349
- Neha Sharma and B. P. Lal, “Driver Drowsiness Detection Using Multi-feature Analysis,” International Journal of Computer Science and Mobile Computing, Vol.4 Issue.7, July- 2015, pp. 426-431
- Ijaz Khan, Hadi Abdullah and Mohd Shamian Bin Zainal, "Efficient Eyes And Mouth Detection Algorithm Using Combination Of Viola Jones And Skin Color Pixel Detection", University Tun Hussein Onn Malaysia, June 2013. Volume 3, No. 4
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