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基于自适应的保局投影的疲劳识别 被引量：1

Fatigue recognition based on adaptive locality preserving projections
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摘要 驾驶员疲劳驾驶是造成交通死亡事故的重要原因之一,研究驾驶疲劳自动识别具有重要的理论意义和应用价值。提出了一种新的基于自适应的保局投影的疲劳识别方法。采用保局投影进行疲劳特征提取,并利用邻域压缩或扩张方法自适应选取保局投影算法中的邻域,既加强了样本点间的关联性,又保持了局部几何结构;采用模糊k近邻的方法进行疲劳识别。在人脸疲劳数据集上进行实验,结果说明了该方法的有效性。 Driver fatigue detection is attractive in Intelligent Transportation Systems（ITS）.It has great theoretical significance and practical application value.A new method is proposed for fatigue recognition based on adaptive locality preserving projec- tions.Firstly, fatigue feature is extracted using locality preserving projections which adopt compression or expansion to select the neighborhoods.It can improve the correlativity of the data and maintain the local-geometric structure.Then,the fatigue ex- pression is recognized with fuzzy k-nearest neighborhood classification.The result shows that it is powerful and effective for fatigue recognition.
作者 吕婧婧 夏利民
机构地区 中南大学信息与工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2010年第22期187-189,共3页 Computer Engineering and Applications
基金 中国博士点基金 湖南省自然科学基金No.05JJ30121~~
关键词 疲劳识别 保局投影 自适应邻域选择 模糊k近邻 fatigue detection locality preserving projections adaptive neighborhood selection fuzzy k-nearest neighborhood
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献11

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二级参考文献12

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共引文献54

同被引文献4

  • 1黄勇.基于多种主元分析与信息融合的人脸表情识别[D].江门:五邑大学,2007.
  • 2He Xiaofei,Niyogi P.Locality preserving projections[C]// Proceedings of Advances in Neural Information Process- ing Systems 16.Cambridge,MA:MIT Press,2004:153-160.
  • 3Cai Deng, He Xiaofei.Orthogonal locality preserving in- dexing[C]//Proceedings of ACM SIGIR' 05, Salvador, Brazil, 2005.
  • 4戴斯荻,夏利民.基于保局投影的离线签名识别[J].计算机工程与应用,2010,46(1):190-193. 被引量：5

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计算机工程与应用
2010年 第22期

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