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- Title
Drowsiness Detection and Alertness Using Eye Motion Monitoring.
- Authors
Asghar, Rabia; Hassan, Ahmad; Ur Rehman Junejo, Naveed; Ikram, Farwa; Cheema, Abeera Mahfooz
- Abstract
The driver felt sleepy when they don't take proper rest while driving on long routes. Restless driving leads to careless mistakes which could be fatal to the driver as well as others’ lives. This issue has been increased to such a level that a system is required to avoid accidents and save a life. Driver alertness detection can play a significant role to avoid such hazards. The system can identify the drowsiness on the face of the drivers and can generate an alarm for them to stop or take necessary actions. Eye state analysis is a key step for alertness detection that helps to identify the state of the eye whether it is open or closed. In this paper, the method has been proposed for eye state analysis following face and eye detection to detect the driver's alertness. This system has been integrated into four steps; including detection of the face, detection of the eye, analysis of eye state, and decision regarding driver's drowsiness. A warning signal has been buzzed on drowsiness detection to alarm the driver. Simulation results validate that our proposed idea attains high accuracy and low error rate as compared to the state-of-the-art.
- Subjects
DROWSINESS; WAKEFULNESS; DETECTION alarms; ERROR rates; EUCLIDEAN distance
- Publication
Sir Syed University Research Journal of Engineering & Technology (SSURJET), 2023, Vol 13, Issue 1, p101
- ISSN
1997-0641
- Publication type
Article
- DOI
10.33317/ssurj.573