A real time deep learning based driver monitoring system

Wani, Sharyar and Fitri, Mohamad Faris and Abdulghafor, Rawad Abdulkhaleq Abdulmolla and Faiz, Mohammad Syukri and Sembok, Tengku Mohd (2019) A real time deep learning based driver monitoring system. International Journal of Advanced Trends in Computer Science and Engineering, 7 (1). E-ISSN 2278-3091

Preview	PDF (Scopus Indexed Journal Proof) - Supplemental Material Download (128kB) | Preview
Preview	PDF - Published Version Download (578kB) | Preview

Abstract

Road traffic accidents almost kill 1.35 million people around the world. Most of these accidents take place in low- and middle-income countries and costs them around 3% of their gross domestic product. Around 20% of the traffic accidents are attributed to distracted drowsy drivers. Many detection systems have been designed to alert the drivers to reduce the huge number of accidents. However, most of them are based on specialized hardware integrated with the vehicle. As such the installation becomes expensive and unaffordable especially in the low- and middle-income sector. In the last decade, smartphones have become essential and affordable. Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. However, most of them either suffer from platform dependence or intermittent detection issues. This research aims at developing a real time distracted driver monitoring engine while being operating system agnostic using deep learning. It employs machine learning for detection, feature extraction, image classification and alert generation. The system training will use both openly available and privately gathered data.

Item Type:	Article (Journal)
Additional Information:	8667/77445
Uncontrolled Keywords:	Deep learning, driver monitoring, drowsiness, machine learning, drowsiness detector.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Sharyar Wani
Date Deposited:	08 Jan 2020 08:02
Last Modified:	15 Dec 2021 16:04
URI:	http://irep.iium.edu.my/id/eprint/77445

Actions (login required)

View Item