基于模糊识别的驾驶员疲劳检测 |
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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. |
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作者姓名: | 张露 张静 杨薛涛 陈忠强 游斌相 王银玲 |
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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 |
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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。
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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 |
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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) |
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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. |
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Keywords: | Fatigue detection Fuzzy recognition Human eye state discrimination Fatigue monitoring |
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