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基于模糊识别的驾驶员疲劳检测
引用本文:张露,张静,杨薛涛,陈忠强,游斌相,王银玲.基于模糊识别的驾驶员疲劳检测[J].四川建材学院学报,2014(2):87-91.
作者姓名:张露  张静  杨薛涛  陈忠强  游斌相  王银玲
作者单位:西南科技大学智能机器人创新实践班,四川绵阳621010
摘    要:汽车驾驶员疲劳驾驶是导致交通事故的重要原因之一,通过监测驾驶员的眼睛可以判别驾驶员的疲劳程度。对驾驶员眼睛的张开程度、眨眼频率、闭眼持续时间占空比等状态量进行检测和运算分析,提出利用模糊识别算法判别驾驶员眼睛疲劳状态。实验结果表明,该方法能有效识别驾驶员的疲劳状态,实时性好,准确率高。

关 键 词:疲劳检测  模糊识别  人眼状态判别  疲劳监测

Driver Fatigue Detection Based on Fuzzy Recognition
Affiliation:ZHANG Lu, ZHANG Jing, YANG Xue -tao, CHEN Zhong - qiang, YOU Bin - xiang, WANG Yin - ling (Class for Practice in Intelligent Robot Creation, Southwest University of Science and Technology, Mianyang 621010, Sichuan, China)
Abstract:Traffic accidents are mostly caused by the fatigue of a driver,the degree of which can be judged by monitoring the driver's eyes. Based on a fuzzy recognition algorithm and by detection and operational analysis of the opening degree of a driver's eyes,blinking frequency and the duty cycle of eye-closing duration,a method of distinguish the fatigue state of the driver's eyes was proposed. Experimental results show that the proposed method can effectively identify a driver's fatigue state with high accuracy and instantaneity.
Keywords:Fatigue detection  Fuzzy recognition  Human eye state discrimination  Fatigue monitoring
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