| 基于神经网络的疲劳驾驶识别系统 |
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| 引用本文： | 王艳玲.基于神经网络的疲劳驾驶识别系统[J].汽车实用技术,2021(1). |
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| 作者姓名： | 王艳玲 |
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| 作者单位： | 长安大学汽车学院 |
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| 摘 要： | 驾驶疲劳识别系统主要依据驾驶员眼部信号、驾驶行为、生理信号等来判断疲劳状态。文章通过BP神经网络与疲劳驾驶相结合,对疲劳参数进行分析,建立基于神经网络的疲劳驾驶实时识别系统,从而提高疲劳检测的准确率。
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| 关 键 词： | 驾驶特征 疲劳参数 神经网络 识别系统 |
Fatigue Driving Recognition System Based on Neural Network |
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| Authors: | Wang Yanling |
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| Institution: | (School of Automobile,Chang’an University,Shaanxi Xi’an 710064) |
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| Abstract: | The driving fatigue identification system mainly judges the fatigue state according to the driver's eye signal,behavior,physiological signal,etc.By combining BP neural network and fatigue driving to analyze fatigue parameters,the fatigue driving real-time recognition system is established based on neural network.The accuracy of fatigue detection is improved. |
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| Keywords: | Driving characteristics Fatigue parameters Neural network Identification system |
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