Year: 2025
Type: article
Abstract: : There is a large number of cases of road accidents across the world out of which a significant number of accidents are caused due to driver fatigue and drowsy behavior .A system which is reliable in detection of drowsy behavior and signs of fatigue can help in preventing such road accidents by monitoring driver behavior and generating alerts to them when signs of fatigue detected. This paper presents a machine learning approach that uses real-time image and processing it by taking insights from its processing like closing eyes ,facial expressions, calculating the closing and open eye-aspect ratios using different machine learning algorithms and generating alerts if it detects driver drowsy behavior . Experimental research shows that our system is effective and reliable in detection of drowsy behavior of drivers and it generates timely alerts to drivers if it is found drowsy and makes the driver safe.
Authors: Shiv Bhardwaj, Swati Pandit, Yash Kaundinya, Tusha Singh, Gauri, Shruti Varshney
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408927676