Citation

Lee, Jian Seong and Yogarayan, Sumendra and Abdul Razak, Siti Fatimah and Azman, Afizan (2023) Face Recognition and Physiological Signal for Impaired Drivers: A Review. In: 2023 11th International Conference on Information and Communication Technology (ICoICT), 23-24 August 2023, Melaka, Malaysia.

Text 34.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

The use of Facial Recognition (FR) technology has become increasingly prevalent in a wide range of applications, from security to social media. The ability to identify individuals based on their facial features has proven to be a valuable tool in many real-world scenarios. However, one area that has yet to be fully explored is the use of FR technology in detecting impaired drivers. Driving under the influence of alcohol is a significant public health issue, and the development of reliable and accurate methods for detecting impaired drivers is crucial. While various Physiological Signal (PS) based methods have been developed for this purpose, the use of FR technology in this context has been largely overlooked. This gap in research provides a motivation to look into potential approaches that not only apply FR but also focus on PS. This paper aims to highlight the significance of FR and PS for detecting impaired drivers. It provides an overview of the related works in this area. Additionally, it identifies potential research gaps and discussion for further investigation.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	face recognition, physiological signals, impaired drivers, drunk, intoxicated, alcohol
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Oct 2023 07:47
Last Modified:	31 Oct 2023 07:47
URII:	http://shdl.mmu.edu.my/id/eprint/11792

Downloads

Edit (login required)