Development of Smart-Car Safety Management System Focused on Drunk Driving Control 


Vol. 37,  No. 7, pp. 565-575, Jul.  2012


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  Abstract

In the modern everyday life, cars the largest proportion of smart features that require mounting in a variety of smart devices and smart methods on have been developed. In this paper, the smart car among the main core of the safety management system optional for the control of drinking and drowsiness, as part of system development, will be drinking if you start your car automatically is to develop a system to avoid driving. For this, through image processing to analyze the driver’s seat of the driver’s facial color how to determine whether or not drinking alcohol is proposed. In particular, the system developed in this paper determines whether or not drinking alcohol before the face images without the need for alcohol after only a unique color change of the face appears to target only way to determine whether drinking and actual alcohol control center of a smart car safety control management system can be applied effectively. The experiment was done in 30 patients after drinking appears face color changes of them. We also perform an analysis on the statistical significance of the experimental results to verify the effectiveness of the proposed method.

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  Cite this article

[IEEE Style]

S. Lee and D. Cho, "Development of Smart-Car Safety Management System Focused on Drunk Driving Control," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 565-575, 2012. DOI: .

[ACM Style]

Se-Hwan Lee and Dong-uk Cho. 2012. Development of Smart-Car Safety Management System Focused on Drunk Driving Control. The Journal of Korean Institute of Communications and Information Sciences, 37, 7, (2012), 565-575. DOI: .

[KICS Style]

Se-Hwan Lee and Dong-uk Cho, "Development of Smart-Car Safety Management System Focused on Drunk Driving Control," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 565-575, 7. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880