Real-time detection of driver drowsiness based on steering performance

Abstract

On-the-road driving experiments were conducted to collect data for different levels of drowsiness.An analysis of the steering wheel data was used to identify two measures,the maximum non-steering percentage and the maximum standard deviation of the steering wheel angle,calculated using the double-window method,found to be significantly different for different drowsiness levels.These were introduced into a linear drowsiness prediction model that also takes into account the drowsiness level history.Validation tests show that the method which is solely based on the driver's steering performance has a successful drowsiness detection of about 82%.