PHYSIOLOGICAL DATA USE IN A NEURAL NETWORK DEVELOPMENT FOR DRIVER FATIGUE RECOGNITION

Abstract

Works with monotonous routine activities, such as driving a car, in a dynamic road environment require a person to adapt and focus constantly. Reactions to monotonous activities, such as drowsiness or inattention, as well as stress or excessive psychological stress, disrupt the normal driving process. These factors make it difficult for the driver to respond adequately to ever-changing road events. In this article, an objective measure of drowsiness and stress that affect the safe work of the driver will be determined, and a neural network will be developed to create a software product for monitoring the driver's condition. Increased use of physiological data in driver condition classification is also expected because modern vehicles are increasingly equipped with automated controls that help replace driving with passive instrument supervision.