  Drowsiness, which is the state when drivers do not have scheduled breaks
while traveling long distances, is the main reason behind serious motorway
accidents. Accordingly, experts claim that drowsy state is hard to be
recognized early enough to prevent serious accidents that may lead even to road
deaths. In this work, we propose a new drowsiness state detection system based
on physiological signals and eye blinking. An experiment has been directed to
justify the utility of the proposed approach. This system uses a smart video
camera that takes drivers faces images and supervises the eye blink (open and
close); also, it uses the Emotiv EPOC headset to acquire the
electroencephalogram (EEG) signals. Eye detection is done by Viola and Jones
technique, EEG. Finally, we have chosen the fuzzy logic techniques to classify
the EEG signals and eye blinking detection to analyze the results.
