An Eye Blink Detection System for Dry Eye Syndrome and Its Performance Model

Long-term use of computer screens and reduced eye blink rate may lead to a disease known as a dry eye syndrome. As a preventive step, this paper proposes a novel system that monitors eye blink rate continuously using Web camera and alarms the computer user in case if blink rate is reduced less than a certain threshold. The accuracy of the proposed system is 90%. A factorial experiment has been carried out to evaluate the performance of the proposed system under the different conditions. A regression equation which relates accuracy of the system with the affecting parameters has been proposed.