Embedded ECG Based Real Time Monitoring and Control of Driver Drowsiness Condition
International Journal of Science, Technology and Society
Volume 3, Issue 4, July 2015, Pages: 146-150
Received: Mar. 5, 2015;
Accepted: May 5, 2015;
Published: Jun. 17, 2015
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M. Sangeetha, Embedded System Technologies, Knowledge Institute of Technology, Salem, India
S. Kalpanadevi, Electrical and Electronics Engineering, Knowledge Institute of Technology, Salem, India
M. Rajendiran, Electrical and Electronics Engineering, Knowledge Institute of Technology, Salem, India
G. Malathi, Electrical and Electronics Engineering, Knowledge Institute of Technology, Salem, India
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In recent years preventing accidents under drowsiness state has become a major focus for active safety driving. To reduce the accidents rate, it is needed to provide an efficient safety measure. Literature says that, the drowsiness condition of driver is best monitored by using an eye blink sensor (or) fabric electrode (or) ECG Sensor. But by monitoring the drowsiness condition alone, the accidents cannot be avoided, unless vehicle speed is controlled. To overcome this problem, the proposed system is implemented with a handheld hardware model designed with ARM and an embedded electrocardiogram electrode which measures the heart rate of the driver. The electrode is fixed in the right thumb and left index finger of the driver to monitor the drowsiness condition. If the system identifies that the driver is in drowsy state, it follows the sequence of operation like alters the driver by a buzzer, sends a warning signal to the control room, monitor and control the speed of the vehicle by cutting the fuel supply to the engine. In addition to that, the LED fixed at the backside of vehicle alerts the rear vehicles to reduce its speed. The proposed idea verified using Lab VIEW software is also discussed.
ARM, ECG Electrode, DC Motor, GSM
To cite this article
Embedded ECG Based Real Time Monitoring and Control of Driver Drowsiness Condition, International Journal of Science, Technology and Society.
Vol. 3, No. 4,
2015, pp. 146-150.
Sang-Joong, Heung-Sub Shin, Wan-Young Chung “Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel” IET intell. Transp. Syst, 2014, Vol.8.
D.Jayanthi, M.Bommy“Vision based real time driver fatigue detection system for efficient vehicle control” (IJEAT, Vol-2, 2012).
DeRosario.H, Solaz.J.S., odríguez: “Controlled inducement and measurement of drowsiness in adriving simulator” (IETIntell.Transp) 2010, 4, pp. 280–288).
Daniel Haupt, petrHonzix, Peter Raso“Steering wheel motion analysis for detection of the driver’s drowsiness”.
Jia-Xiu Liu, Ming-KuanKo“Detection of driver’s low vigilance by analyzing driving behaviour from multi-aspects” (National Conference, Vol-14, 2012).
Chin-Teng Lin, wen-Hung Chao, Yu-Jie Chen“EEG-based drowsiness estimation for safety driving using independent component analysis” (IEEE Transactions, Vol-52, 2005).
Swapnil, Deepak, Kapil“Driver fatigue detection using sensornetwork” (IJEST, 2011).
Federico Baronti, Roberto Roncella, Roberto Saletti“Distribetded sensor for steering wheel grip force measurement in driver fatigue detection” (EDAA, 2009).
Betsy Thomas, Ashutosh Gupta “Wireless sensor embedded steering wheel for real time monitoring of driver fatigue detection”(International Conference, 2012).