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NCUEIR > College of Technology > vr > Periodical Articles > Item 987654321/18351

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/18351

Title:	Development of a Drowsiness Warning System Based on the Fuzzy Logic Images Analysis
Authors:	Wu, Jian-Da;Chen, Tuo-Rung
Contributors:	車輛科技研究所
Date:	2008-02
Issue Date:	2014-04-29T07:27:54Z
Publisher:	Elsevier Ltd
Abstract:	In the present study, a vehicle driver drowsiness warning system using image processing technique with fuzzy logic inference is developed and investigated. The principle of the proposed system is based on facial images analysis for warning the driver of drowsiness or inattention to prevent traffic accidents. The facial images of driver are taken by a CCD camera which is installed on the dashboard in front of the driver. A fuzzy logic algorithm and an inference are proposed to determine the level of fatigue by measuring the blinding duration and its frequency, and warn the driver accordingly. The experimental works are carried to evaluate the effect of the proposed system for drowsiness warning under various operation conditions. The experimental results indicated that the proposed expert system is effective for increasing safe in drive. The detail of image processing technique and the characteristic also is present in this paper.
Relation:	Expert Systems with Applications, 34(2): 1556-1561
Appears in Collections:	[vr] Periodical Articles

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