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Review Article

Driver Drowsiness Detection: A Review

Vinny Sharma, Ananya Goswami1 null, Aaisha Singh2 null, Khushi Sharma3 null, Arkapravo Dey4 null, Satyajee Srivastava null

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Indian Journal of Forensic Medicine and Pathology 14(2 (Special Issue)):p 256-262, April-June 2021. | DOI: 10.21088/ijfmp.0974.3383.14221.35

How Cite This Article:

Goswami A. Driver drowsiness detection: a review. Indian J Forensic Med Pathol. 2021;14(2 Special):256-62.

Timeline

Received : April 02, 2021         Accepted : February 20, 2021          Published : June 30, 2021

Abstract

Safety of passengers has been a severe issue in all societies of any country in the world. Thousands of people lose their lives daily and many more lose their livelihood because of paralysis caused by accidents. Accidents not only cause physical injuries but also are responsible for high economic losses. According to various studies and investigations it is noticed that one of the major causes behind the road accidents is driver’s drowsiness. This drowsiness can be the cause of many reasons. Fatigue or sleep deprivation are the major reasons. Thus, a countermeasure device is currently essential in many fields for sleepiness related accident prevention. Many researchers have been working on different aspects to deal with this drowsiness issue through various aspects like (1) Subjective Measures, (2) Physiological measures, (3) Vehicle-based measures, (4) Behavioural measures This paper proposes a comparative review on different methods used to detect drowsiness of drivers. It looks into the advantages and disadvantages of different methods used for the purpose and creates a detailed comparative analysis for a better future hybrid model to be taken into consideration. This would further help in enhancing the safety measures that should be taken for road safety.


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Cite this article

Goswami A. Driver drowsiness detection: a review. Indian J Forensic Med Pathol. 2021;14(2 Special):256-62.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



Received Accepted Published
April 02, 2021 February 20, 2021 June 30, 2021

DOI: 10.21088/ijfmp.0974.3383.14221.35

Keywords

drowsinessdetectionroad

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Received April 02, 2021
Accepted February 20, 2021
Published June 30, 2021

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



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