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  Published Paper Details:

  Paper Title

Review on Visual Cues-based Methods for Driver Fatigue Detection

  Authors

  Anoop G A

  Keywords

Driver fatigue, detection methods, visual cues

  Abstract


Fatigue is a widespread issue that causes cognitive and physical performance impairment and poses risks in various areas of the transportation industry. Visual cues provide valuable information for fatigue detection and monitoring due to their non-intrusive nature and the ability to capture small changes in a person's appearance and behavior. Visual cues-based fatigue detection methods are approaches that use various visual indicators to detect and assess fatigue in an individual. Various methods for using visual cues to detect fatigue in an individual have been developed using technologies such as computer vision and machine learning algorithms. This paper discusses state-of-the-art driver fatigue detection using visual cues-based methods, how these methods can be used to address an important road safety issue, and how they can transform the way driver alertness is monitored, thus avoiding accidents caused by fatigue.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2310058

  Paper ID - 244790

  Page Number(s) - a476-a482

  Pubished in - Volume 11 | Issue 10 | October 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Anoop G A,   "Review on Visual Cues-based Methods for Driver Fatigue Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.a476-a482, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310058.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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