Abstract:
Drowsiness related crashes have received increasing attention during the last decade. During the last years there has been an increased interest in developing driver support systems that identify driver drowsiness. These systems normally consist of sensors for measuring physiological and behavioral changes, as well as algorithms to quantify such changes and predict risks. Lots of efforts have been addressed to provide the driver with feedback and/or a warning in a way that the drowsy driver considers the received signals and actually does something to resolve the problem. It is important to consider the effectiveness of the feedback/warning system in relation to user acceptance in order to make a real step forward. Even the most sensitive algorithm or detection system will do no good if the driver does not understand or accept the warning. These systems warns the driver of drowsiness and the risk of a micro-sleep and distractions. Also compliance with driver warnings helps to avoid crashes caused by fatigue.
