HAN Hai-chuan, DENG San-peng. Research on Driver Fatigue Early Warning Method Based on ARM[J]. International Journal of Plant Engineering and Management, 2015, 20(4): 250-254

Research on Driver Fatigue Early Warning Method Based on ARM
HAN Hai-chuan, DENG San-peng
Institute of Mechatronics Engineering,Tianjin University of Technology and Education, Tianjin 300222, P. R. China
Fatigue driving is one of the important reasons of road traffic accidents,fatigue driving is refers to the driver in a long time continuous driving or physical fatigue condition,and then come into being physiological and psychological function disorder. In order to overcome the limitation of single sensor in the fatigue test, aimed at the requirements of monitoring on the fatigue driving, this article designed an driver fatigue monitor system based ARM926EJ-S as a controller, it is used to determine the driver's fatigue and reduce the traffic acc ident. On the basis of fully considering the source correlation and complementary, it adopts the method of multi-source information fusion; by monitoring the pulse, heart rate, temperature of the human body, steering wheel grip strength to realized the fatigue level. The system of graphical interface adopts UCGUI. Finally,testing the main function modules of early warning system, the feasibility of the proposed early warning system is verified fusion.
Key words:    vehicle active safety    physiological status    fatigue driving    multi-source information   
Received: 2015-11-10     Revised:
DOI: 10.13434/j.cnki.1007-4546.2015.0406
Corresponding author:     Email:
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HAN Hai-chuan
DENG San-peng

[1] Fang H Y. Based on the research of GUI technology of automobile instrument development platform[D]. Wuhan: Wuhan University of Technology, 2007 (in Chinese)
[2] Wang Q, Miao D H, Deng S P, et al. Car driver fatigue monitoring method based on rough set study [J]. Vehicle and Power Technology, 2011, 2011:18-21 (in Chinese)
[3] Xiao S B, Xiao H J. UCOS-II on the ARM architecture M3 processor transplantation. Electronics, 2010,(7): 54-55 (in Chinese)
[4] Han C H, Gao X H. CAN bus technology and its application [J]. Journal of Manufacturing Automation, 2010, 11:146-149 (in Chinese)
[5] Zhao Z. The driver fatigue detection method research and the realization of embedded [D]. Dalian: Dalian Maritime University, 2010 (in Chinese)
[6] Sun W, Zhang W G, Zhang X R, et al. The research progress of fatigue test method [J]. Journal of Automotive Technology, 2009, 11:1-5,17 (in Chinese)
[7] Dinges D F, Grace R. PERCLOS: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance[R].Federal Highway Administration Office of Motor Carriers,1998 (in Chinese)
[8] Li D H, Liu Q, Yuan W, et al. Relationship between fatigue and traffic accident [J]. Journal of Transportation Engineering, 2010,11:104-109 (in Chinese)