Drowsiness Detection and Alertness Using Eye Motion Monitoring
The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless driving careless mistake could be fatal to driver as well as others’ lives. This issue has been increased to such a level that a system required to avoid accidents and save life. The driver alertness...
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| Format: | Article |
| Language: | English |
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Sir Syed University of Engineering and Technology, Karachi.
2023-06-01
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| Series: | Sir Syed University Research Journal of Engineering and Technology |
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| Online Access: | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/573 |
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| author | Rabia Asghar Ahmad Hassan Naveed Ur Rehman Junejo Farwa Ikram Abeera Mahfooz Cheema |
| author_facet | Rabia Asghar Ahmad Hassan Naveed Ur Rehman Junejo Farwa Ikram Abeera Mahfooz Cheema |
| author_sort | Rabia Asghar |
| collection | DOAJ |
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The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless driving careless mistake could be fatal to driver as well as others’ lives. This issue has been increased to such a level that a system required to avoid accidents and save life. The driver alertness detection can play a significant role to avoid such hazards. The system can identify the drowsiness on the face of driver 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 close. In this paper, the method has been proposed for eye state analysis following face and eye detection to detect driver’s alertness. This system has been integrated into a four-steps includes detection of face, detection of 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 state-of-art.
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| format | Article |
| id | doaj-art-bf80c307fc374b08bb12db37580d5232 |
| institution | Kabale University |
| issn | 1997-0641 2415-2048 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Sir Syed University of Engineering and Technology, Karachi. |
| record_format | Article |
| series | Sir Syed University Research Journal of Engineering and Technology |
| spelling | doaj-art-bf80c307fc374b08bb12db37580d52322025-08-20T03:26:43ZengSir Syed University of Engineering and Technology, Karachi.Sir Syed University Research Journal of Engineering and Technology1997-06412415-20482023-06-01131Drowsiness Detection and Alertness Using Eye Motion MonitoringRabia Asghar0Ahmad Hassan1Naveed Ur Rehman Junejo2Farwa Ikram3Abeera Mahfooz CheemaDepartment of Computer Engineering, The University of Lahore, Lahore PakistanDepartment of Computer Engineering, The University of Lahore, Lahore, PakistanDepartment of Computer Engineering, The University of Lahore, Lahore PakistanDepartment of Computer Engineering, The University of Lahore, Lahore Pakistan The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless driving careless mistake could be fatal to driver as well as others’ lives. This issue has been increased to such a level that a system required to avoid accidents and save life. The driver alertness detection can play a significant role to avoid such hazards. The system can identify the drowsiness on the face of driver 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 close. In this paper, the method has been proposed for eye state analysis following face and eye detection to detect driver’s alertness. This system has been integrated into a four-steps includes detection of face, detection of 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 state-of-art. http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/573drowsiness detectionalertness monitoring systemEuclidean distance classifier68-facelandmarks algorithm |
| spellingShingle | Rabia Asghar Ahmad Hassan Naveed Ur Rehman Junejo Farwa Ikram Abeera Mahfooz Cheema Drowsiness Detection and Alertness Using Eye Motion Monitoring Sir Syed University Research Journal of Engineering and Technology drowsiness detection alertness monitoring system Euclidean distance classifier 68-facelandmarks algorithm |
| title | Drowsiness Detection and Alertness Using Eye Motion Monitoring |
| title_full | Drowsiness Detection and Alertness Using Eye Motion Monitoring |
| title_fullStr | Drowsiness Detection and Alertness Using Eye Motion Monitoring |
| title_full_unstemmed | Drowsiness Detection and Alertness Using Eye Motion Monitoring |
| title_short | Drowsiness Detection and Alertness Using Eye Motion Monitoring |
| title_sort | drowsiness detection and alertness using eye motion monitoring |
| topic | drowsiness detection alertness monitoring system Euclidean distance classifier 68-facelandmarks algorithm |
| url | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/573 |
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