| 基于粗糙集的汽车驾驶员疲劳监测方法的研究 |
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| 引用本文： | 王倩,苗德华,邓三鹏,蒋永翔,祁宇明. 基于粗糙集的汽车驾驶员疲劳监测方法的研究[J]. 车辆与动力技术, 2011, 0(4): 18-21 |
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| 作者姓名： | 王倩 苗德华 邓三鹏 蒋永翔 祁宇明 |
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| 作者单位： | 天津职业技术师范大学机电工程研究所,天津,300222 |
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| 基金项目： | 天津市应用基础及前沿技术项目（资助号：08JCYBJC26200） |
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| 摘 要： | 通过采集脑电α波、脉搏信号、心率信号等生理信号,基于粗糙集理论进行驾驶员生理信号疲劳特征的提取,建立疲劳监测的决策规则.实验证明,该方法可准确判别驾驶员的疲劳状态.
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| 关 键 词： | 生理信号 粗糙集 属性约简 疲劳监测 |
Research on driver fatigue monitoring based on Rough set |
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| WANG Qian,MIAO De-hua,DENG San-peng,JIANG Yong-xiang,QI Yu-ming. Research on driver fatigue monitoring based on Rough set[J]. Vehicle & Power Technology, 2011, 0(4): 18-21 |
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| Authors: | WANG Qian MIAO De-hua DENG San-peng JIANG Yong-xiang QI Yu-ming |
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| Affiliation: | (Institute of Electrical and Mechanical Engineering,Tianjin University of Technology and Education,Tianjin 300222,China) |
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| Abstract: | Through acquainting such physiological signals of a driver as alpha brain wave,pulse and heart rate,their fatigue characteristics were extracted on the basis of rough set theory.A decision rule was established for fatigue monitoring.The experimental results show that the fatigue state of the driver can be accurately judged by means of the above method. |
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| Keywords: | physiological signal rough set attribute reduction fatigue monitoring |
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