운전석의 정전용량을 이용한 자동 운전자 상태 모니터링

Abstract

Recently, researches related with automotive mechanism have been widely studied for the driver's safety because car driver’s drowsiness and fatigue are major causes of the serious traffic accidents. This thesis describes the design of the non intrusive ECG (Electrocardiogram) sensor which is a convenient method of ECG measurement without direct conductive contact with the skin while subjects sit on a car seat wearing normal clothes to monitor the driver's healthcare status. The electrode pairs for ECG measurement is used to the capacitance variation from the skin trough clothes. For measurement of ECG signals, two active capacitive electrodes are attached to the back of a car seat and a large fabric electrode for ground places on the car seat. ECG signals which are obtained on the car seat are transmitted to base station connected to the server PC via personal area network for practical test. Intelligent car driver's condition monitoring system is designed at the server to analyze the ECG signals. Our purpose for intelligent car driver's condition monitoring system is managed to process HRV(Heart Rate Variability) signals analysis derived from the physiological signals in time and frequency domain and to evaluate and monitor the driver's each condition.