Physiological-based Driver Monitoring Systems: A Scoping Review

Siti Fatimah Abdul Razak; Sumendra Yogarayan; Azlan Abdul Aziz; Mohd Fikri Azli Abdullah; Noor Hisham Kamis

doi:10.28991/CEJ-2022-08-12-020

Authors

Siti Fatimah Abdul Razak
fatimah.razak@mmu.edu.my
Faculty of Information Science and Technology, Multimedia University, Jln Ayer Keroh Lama, Melaka, 75450, Malaysia https://orcid.org/0000-0002-6108-3183
Sumendra Yogarayan Faculty of Information Science and Technology, Multimedia University, Jln Ayer Keroh Lama, Melaka, 75450, Malaysia https://orcid.org/0000-0002-5151-2300
Azlan Abdul Aziz Faculty of Engineering and Technology, Multimedia University, Jln Ayer Keroh Lama, Melaka, 75450, Malaysia
Mohd Fikri Azli Abdullah Faculty of Information Science and Technology, Multimedia University, Jln Ayer Keroh Lama, Melaka, 75450, Malaysia
Noor Hisham Kamis Faculty of Information Science and Technology, Multimedia University, Jln Ayer Keroh Lama, Melaka, 75450, Malaysia https://orcid.org/0000-0001-9624-2220

Vol. 8 No. 12 (2022): December

Review Articles

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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.

Doi: 10.28991/CEJ-2022-08-12-020

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Abdul Razak, S. F., Yogarayan, S., Abdul Aziz, A., Abdullah, M. F. A., & Kamis, N. H. (2022). Physiological-based Driver Monitoring Systems: A Scoping Review. Civil Engineering Journal, 8(12), 3952–3967. https://doi.org/10.28991/CEJ-2022-08-12-020

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Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
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Physiological-based Driver Monitoring Systems: A Scoping Review

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