摘要： 为对疏忽驾驶行为进行细粒度检测和识别,基于智能终端设计疏忽驾驶检测系统,通过智能手机的扬声器和麦克风对疏忽驾驶行为进行实时检测。根据疏忽驾驶行为的定义从中抽象出4个具体动作,即转身、拿取、捡拾和手部持续小动作,分析动作所产生多普勒效应的特有模式,并利用主成分分析方法提取数据特征,采用支持向量机对其进行训练,输出一个能支持细粒度识别的分类器模型。实验结果表明,该系统判断疏忽驾驶行为的平均识别精度可达93.72%,具有较好的检测性能。
关键词:
疏忽驾驶,
移动感知,
多普勒效应,
主成分分析,
支持向量机
Abstract: In order to implement the fine-grained detection and identification of inattentive driving,this paper proposes an inattentive driving detection system based on intelligent terminal,which does real-time detection for inattentive driving behavior by leveraging speaker and microphone of smartphone.According to the definition of inattentive driving behavior,it abstracts four specific actions:turn around,take back,pick up and hand continuous small movement,and analyzes the unique patterns of the Doppler effects from these actions.It extracts data features by using Principal Component Analysis(PCA)method,uses Support Vector Machine(SVM)to train the features and outputs a classifier model which conducts fine-grained identification.Experimental results demonstrate that the proposed system can achieve accuracy of 93.72% in average when judging inattentive driving,which has better detection performance.
Key words:
inattentive driving,
mobile sensing,
Doppler effect,
Principal Component Analysis(PCA),
Support Vector Machine(SVM)
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