Citation

Abdul Razak, Siti Fatimah and Yogarayan, Sumendra and Abd. Aziz, Azlan and Abdullah, Mohd Fikri Azli and Kamis, Noor Hisham (2022) Physiological-based Driver Monitoring Systems: A Scoping Review. Civil Engineering Journal, 8 (12). pp. 3952-3967. ISSN 2676-6957

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Abstract

A physiological-based driver monitoring system (DMS) has attracted research interest and has great potential for providing more accurate and reliable monitoring of the driver’s state during a driving experience. Many driving monitoring systems are driver behavior-based or vehicle-based. When these non-physiological based DMS are coupled with physiological-based data analysis from electroencephalography (EEG), electrooculography (EOG), electrocardiography (ECG), and electromyography (EMG), the physical and emotional state of the driver may also be assessed. Drivers’ wellness can also be monitored, and hence, traffic collisions can be avoided. This paper highlights work that has been published in the past five years related to physiological-based DMS. Specifically, we focused on the physiological indicators applied in DMS design and development. Work utilizing key physiological indicators related to driver identification, driver alertness, driver drowsiness, driver fatigue, and drunk driver is identified and described based on the PRISMA Extension for Scoping Reviews (PRISMA-Sc) Framework. The relationship between selected papers is visualized using keyword co-occurrence. Findings were presented using a narrative review approach based on classifications of DMS. Finally, the challenges of physiological-based DMS are highlighted in the conclusion.

Item Type:	Article
Uncontrolled Keywords:	Driver Monitoring System; ADAS; Vehicle Safety; Driving Behavior
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL500-777 Aeronautics. Aeronautical engineering
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	15 Mar 2023 04:22
Last Modified:	15 Mar 2023 04:22
URII:	http://shdl.mmu.edu.my/id/eprint/11232

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