Advanced driver monitoring for assistance system (ADMAS)

The present study aimed to introduce an approach to implement facial analysis on monitoring driver emotional status in real time. For this purpose, an experimental setup had been performed based on commercial technologies. Such experimental protocol includes the main variables involved in driving and how those variables influence in the driver performance. The goal of the experimental design was to detect which emotions of the driver s face are present during driving and how those emotions can be changed in presence of stimuli from a passive advanced driver for assistance systems (ADAS). Finally, the idea is to investigate if the driver performance changes when some external stimuli are applied as hazards are reported to the driver. The experimental results suggest that the ADAS is not sufficient to enhance the driver's performance. As a result, the authors propose a new framework for driver assistance systems based on driver state, especially emotions: advanced driver monitoring for assistance systems (ADMAS), refer to Fig. 1. With ADMAS implementation security and intelligence can be provided to a car and thus help to reduce traffic accidents.