Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection
Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection
- New search for: Kumar, Sachin
- New search for: Kalia, Anushtha
- New search for: Sharma, Arjun
- New search for: Kumar, Sachin
- New search for: Kalia, Anushtha
- New search for: Sharma, Arjun
Abstract Drowsiness during driving is a major cause of accidents of drivers which has socio-economic and psychological impact on the affected person. In Intelligent Transportation Systems (ITS), the detection of the drowsy and alert state of the driver is an interesting research problem. This paper proposed a novel method to detect the drowsy state of the driver based on three parameters, namely physiological, environmental and vehicular. The undertaken model proposes a simplistic approach and achieves comparable results to the state of the art with an ROC score of 81.28 and also elaborates on the specificity and sensitivity metrics.
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Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection
2018-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
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