| 基于小波技术的疲劳驾驶行为识别研究 |
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| 引用本文： | 唐勇,刘海波,张铁壁.基于小波技术的疲劳驾驶行为识别研究[J].仪表技术与传感器,2011(1). |
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| 作者姓名： | 唐勇 刘海波 张铁壁 |
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| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083;河北工程技术高等专科学校,河北,沧州,061001
2. 河北工程技术高等专科学校,河北,沧州,061001 |
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| 摘 要： | 文中以实际道路环境应用为背景,通过一种能正确模拟汽车驾驶动作,获得实车驾驶感觉的驾驶模拟器,利用传感器数据采集系统采集方向盘转角数据,研究了一种基于小波分析方法的驾驶人疲劳检测方法,综合运用了数据处理、采样,去噪、模式识别等多种技术,以降低因驾驶人疲劳驾驶导致的交通事故.
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| 关 键 词： | 小波分析 疲劳驾驶 模式识别 分类器 |
Recognition Research of Fatigue Driving Behavior Based on Wavelet Technology |
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| TANG Yong,LIU Hai-bo,ZHANG Tie-bi.Recognition Research of Fatigue Driving Behavior Based on Wavelet Technology[J].Instrument Technique and Sensor,2011(1). |
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| Authors: | TANG Yong LIU Hai-bo ZHANG Tie-bi |
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| Affiliation: | TANG Yong1,2,LIU Hai-bo2,ZHANG Tie-bi2(1.School of Information Engineering,University of Science & Technology of Beijing,Beijing 100083,China,2.Hebei Engineering and Technical College,Cangzhou 061001,China) |
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| Abstract: | A method based on wavelet analysis was designed through the steering wheel corner data collected in the driving simulator,in order to study a driver fatigue detection in the practical application of the road environment.Multiple technologies were used in the research,such as sensor,sampling,noise reduction,and pattern recognition. |
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| Keywords: | wavelet analysis fatigue driving pattern recognition classifier |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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