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- W3156832010 abstract "Drowsiness and fatigue could be fatal during driving as it can lead to accidents. So, there is an acute demand and need of drowsiness cum fatigue detection of drivers during driving sessions. In this paper some important and possible techniques are presented to give reader a comprehensive idea of how technology could save millions from traffic accidents. This paper presents the state-of-the-art review of various potent techniques which are presently in use. Various techniques used till date are majorly based on eye/head tracking and wheel steering pattern tracking. These techniques are categorized into five different categories i.e., Subjective reporting, biological characteristics, physical characteristics, vehicular characteristics, and hybrid characteristics. This paper also discusses the problems faced by the current technology which need to be addressed in future. We believe that this study offers a clear understanding of drowsiness and fatigue detection techniques and contribute to the improvements of the current technology in near future." @default.
- W3156832010 created "2021-04-26" @default.
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- W3156832010 date "2021-02-19" @default.
- W3156832010 modified "2023-10-15" @default.
- W3156832010 title "A Survey on Fatigue and Drowsiness Detection Techniques in Driving" @default.
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- W3156832010 doi "https://doi.org/10.1109/icccis51004.2021.9397224" @default.
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