Driver Drowsiness Recognition Based on Computer Vision Technology

查看全文 作　　者：Wei [1]Zhang;Bo [1]Cheng;Yingzi [2]Lin

机构地区：[1]State Key Laboratory for Automotive Safety and Energy,Department of Automotive Engineering,Tsinghua University,Beijing 100084,China;[2]Mechanical and Industrial Engineering Department,Northeastern University,Boston,MA 02115,USA

出　　处：《Tsinghua Science and Technology》索引2012年第17卷第3期,共9页

基　　金：Supported by the National High-Tech Research and Development (863) Program of China (No. 2009AA11Z214);Independent Scientific Research Program of Tsinghua University (No. 20101081763) 摘　　要：Driver drowsiness is one of the major causes of traffic accidents. This paper presents a nonintrusive drowsiness recognition method using eye-tracking and image processing. A robust eye detection algorithm is introduced to address the problems caused by changes in illumination and driver posture. Six measures are calculated with percentage of eyelid closure, maximum closure duration, blink frequency, average opening level of the eyes, opening velocity of the eyes, and closing velocity of the eyes. These measures are combined using Fisher's linear discriminant functions using a stepwise method to reduce the correlations and extract an independent index. Results with six participants in driving simulator experiments demonstrate the feasibility of this video-based drowsiness recognition method that provided 86% accuracy. 关键词：计算机视觉技术识别方法驾驶员线性判别函数 FISHER 关闭速度驾驶模拟器交通事故

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Driver Drowsiness Recognition Based on Computer Vision Technology

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