Abstract: System and method for monitoring the physiological behavior of a driver that includes measuring a physiological variable of a driver, assessing a driver's behavioral parameter on the basis of at least said measured physiological variable, and informing the driver of the assessed driver's behavioral parameter. The measurement of the physiological variable can include measuring a driver's eye movement, measuring a driver's eye-gaze direction, measuring a driver's eye-closure amount, measuring a driver's blinking movement, measuring a driver's head movement, measuring a driver's head position, measuring a driver's head orientation, measuring driver's movable facial features, and measuring a driver's facial temperature image.

Abstract: System and method for real-time, automatic, recognition of large time-scale driving patterns employs a statistical pattern recognition framework, implemented by means of feed-forward neural network utilizing models developed for recognizing, for example, four classes of driving environments, namely highway, main road, suburban traffic and city traffic, from vehicle performance data. A vehicle control application effects changes in vehicle performance aspects based on the recognized driving environment.