METHODOLOGY OF EVALUATING THE DRIVER’S ATTENTION AND VIGILANCE LEVEL IN AN AUTOMOBILE TRANSPORTATION USING INTELLIGENT SENSOR ARCHITECTURE AND FUZZY LOGIC

Abstract — This paper deals with the methodology of creating a new intelligent system to improve the driver’s safety in an automobile transportation. A simulator system has been developed at the Robotics Laboratory of the “Politecnico di Milano”. A description of the necessary hardware and architecture is made in details. Driver’s physiological data, acquired from sensors on the wheel and the safety belt, is correlated, using statistical multivariate analysis, with his driving performance and attention level evaluated using polysomnography. This statistical model is applied on the data off-line in order to define a fuzzy logic system, to be applied on real time acquired data. All the elaboration of the data results in one vigilance level index for the current driver and situation. Future steps and possibilities are also discussed