Identification of Driver's Fitness using Video Image and Steering Based Features

Driver's Fitness is defined as a measure of a person's physical strength, flexibility and endurance to drive. Two main factors that lead to unfit driver are drowsiness and fatigue. This paper discusses features extracted from live video of drivers and streering wheel displacement to identify the relative state of driver's fitness. A software based system, Driver's Fitness Monitoring and Training System (DMFTS) was developed for to acquire the required data, extract the selected features and identify driver's fitness. Fifteen participants were tested in an automotive simulator. Results obtained showed that there are identical pattern of the selected features found among the unfit driver's.