Face Recognition and Physiological Signal for Impaired Drivers: A Review

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.