Complex analysis of outputs from driving simulator experiments focused on drowsiness detection

One of the most serious problems concerning car safety is a driver's attention decrease and fatigue which ould lead to the micro-sleep. For development of a warning system, which is able to detect driver's inability to drive safely, it is necessary to have a complex knowledge about the processes inside driver's body and mind. From that reason it is needed to perform plenty of experiments. Our laboratory investigates in actual driver's state mainly using the means of brain activity measurements (EEG analysis) and other additional biological signals. The EEG measurements are very sensitive to environmental influences. On the other hand it is necessary to put the experimenting person into the environment which is as close to reality as possible. Usage of car simulation devices appears to be a good compromise. The paper describes design of the experiments, scenarios and tracks, based on a knowledge obtained from a good ample of already performed measurements. The paper also shows certain results form the analysis of biological signals (mainly EEG and ECG) correlated with analysis of the ride and subjective ratings.