Eye Gesture Analysis for Prevention of Road Accidents

Around the globe, death is a daily occurrence mainly due to accidents. Research has been conducted intensively to attempt reduce accidents and extemporize the Driver Assistance System. The core idea for this paper is depicted through a process evolved to enhance effectively the Intelligent Driver assistance system and also a safety system to access the driver's perspectives with vehicles. The system uses a dynamic CCD camera in the vehicle that observes the driver's face. A prototype to match the approach is used to compare the Driver's eye pattern with a set of existing templates of the driver gazing at various focal points inside the vehicle. The windscreen is further divided into segments and a comparison of the driver's eye gaze pattern with the existing stencil determines the driver's view point on the windscreen. For instance, in case the driver is detected to be drowsy with closed eyelids for more than a few seconds then he will be alerted automatically.