detection of driver drowsiness and accident avoidance
Aathimoolam K, R. S. Giftson,S. Mareeswaran,M.Sathishkumar
Published in International Journal of Advanced Research in Electrical and Electronics Engineering
ISSN: 2321-4775 Impact Factor:1.6 Volume:3 Issue:3 Year: 28 April,2021 Pages:144-148
Abstract
In the worldwide statistics reported by the World Health Organization, the number of fatalities by traffic crashes each year is estimated at approximately 1.2 million, and the number of injuries is estimated up to 50 million. The percentage of total fatal crashes related to drowsy driving are estimated at 2.2%–2.6%. Drowsiness is one of the major factors leading to car accidents, and preventing drowsy driving plays an important role in the safety driving. DROWSINESS is an intermediate state between wakefulness and sleep that has been defined as a state of progressive impaired awareness associated with a desire or inclination to sleep. Due to the low level of consciousness during the state of drowsiness, a person’s instantaneous reflex is weakened, which negatively affects their ability to process quick decisions. Drowsiness is seen as a major cause of vehicular accidents worldwide. There are various statistics from around the world that indicate most vehicular accidents to be directly caused by driver fatigue.
Kewords
: eye blink sensor, LCD, Microcontroller, Drowsy Driver Detection System
Reference
[1] MarcoJavier Flores, JoséMaría Armingol and Arturo de la Escalera, ―Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions‖, Springer, EURASIP Journal on Advances in Signal Processing, 2010. [2] Belhassen AkroutWalid Mahdi, ―A Blinking Measurement Method for Driver Drowsiness Detection‖, Springer, Proceedings of the 8th International Conference on Computer Recognition Systems CORES, pp 651- 660, 2013. [3] Ji Hyun Yang, Zhi-Hong Mao, Member, IEEE, Louis Tijerina, Tom Pilutti, Joseph F. Coughlin, and Eric Feron, ―Detection of Driver Fatigue Caused by Sleep Deprivation‖, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 39, NO. 4, JULY 2009. [4] Antoine Picot, Sylvie Charbonnier, Alice Caplier, ―On-Line Detection of Drowsiness Using Brain and Visual Information‖, Published in: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans (Volume: 42, Issue: 3) Page(s): 764 – 775, May 2012. [5] Satori Hachisuka, Kenji Ishida, Takeshi Enya, Masayoshi Kamijo, ―Facial Expression Measurement for Detecting Driver Drowsiness‖, springer, International Conference on Engineering Psychology and Cognitive Ergonomics. EPCE 2011: Engineering Psychology and Cognitive Ergonomics pp 135-144, 2011. [6] Ines Teyeb, Olfa Jemai, Mourad Zaied, Chokri Ben Amar, ―A Drowsy Driver Detection System Based on a New Method of Head Posture Estimation‖, springer. International Conference on Intelligent Data Engineering and Automated Learning. IDEAL 2014: Intelligent Data Engineering and Automated Learning – IDEAL 2014 pp 362-369, 2014.
