DocumentCode :
74546
Title :
Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel
Author :
Sang-Joong Jung ; Heung-Sub Shin ; Wan-Young Chung
Author_Institution :
Dept. of Electron. Eng., Pukyong Nat. Univ., Busan, South Korea
Volume :
8
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
43
Lastpage :
50
Abstract :
Real time driver health condition monitoring system with drowsiness alertness was proposed. A new embedded electrocardiogram (ECG) sensor with electrically conductive fabric electrodes on the steering wheel of a car was designed to monitor the driver´s health condition. The ECG signals were measured at a sampling rate of 100 Hz from the driver´s palms as they stay on a pair of conductive fabric electrodes located on the steering wheel. Practical tests were conducted using an embedded ECG sensor with a wireless sensor node, and their performance was assessed under non-stop 2 h driving test. The ECG signals were measured and transmitted wirelessly to a base station connected to a server PC in personal area network environment. The driver´s health condition such as the normal, fatigued and drowsy states was analysed by evaluating the heart rate variability in the time and frequency domains.
Keywords :
automotive components; biomedical electrodes; driver information systems; electrocardiography; frequency-domain analysis; graph theory; intelligent sensors; medical signal processing; signal sampling; steering systems; time-domain analysis; wireless sensor networks; ANS balance graph; ECG signal measurement; driver drowsiness monitoring system; driver fatigue monitoring system; driver palms; drowsiness alertness; drowsy state; electrically conductive fabric electrodes; embedded ECG sensor; embedded electrocardiogram sensor; fatigued state; frequency domain; heart rate variability; normal state; personal area network environment; real time driver health condition monitoring system; signal sampling; steering wheel; time domain; wireless sensor node; wireless transmission;
fLanguage :
English
Journal_Title :
Intelligent Transport Systems, IET
Publisher :
iet
ISSN :
1751-956X
Type :
jour
DOI :
10.1049/iet-its.2012.0032
Filename :
6720253
Link To Document :
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