Design and implementation of sleep monitoring system using electrooculographs signals

Abstract

Recently the somnolence in the drivers has been one of the main causes of car accidents resulting in severe injuries, deaths and significant economic losses. The main purpose of this research is the development of a sleepiness monitoring device for drivers who works for long hours. The proposed monitoring system is composed for a conditioning and acquisition stage for electrooculographs signals (EOG) and control stage dedicated to send and activation alarm. The acquired signals were visualized in a user interface developed in Matlab which also make the signal processing to detect de retina rest potentials for posterior analysis. The EOG signals were reliable enough to establish the threshold levels for the activation of the alarm.