A Review of Personalized Health Navigation for Drivers

Abstract

Driving activities occupy more and more time for moderns and often can elicit bad states like stress, fatigue, or anger, which can significantly impact road safety and driver health. Therefore, health issues caused by driving should be taken seriously. Whichever the combination of bad health states, it may lead to serious consequences during driving, as evidenced by the large number of traffic accidents that occur each year due to various health issues. As a result of rapid advances in multimedia and sensor technologies, driver health can be automatically detected using multimodal measurements. Therefore, a system that includes driver health detection and health navigation is needed to continuously monitor driver health states and navigate drivers to positive health states to ensure safe driving. In this article, we survey recent related works on driver health detection, as well as discuss some of the main challenges and promising areas to stimulate progress in personalized health navigation for drivers. Finally, we propose a cybernetic-based personalized health navigation framework for drivers (PHN-D), which provides a new paradigm in the field of driver health.