| 驾驶员眼部状态识别方法的研究 |
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| 引用本文： | 郭克友,储江伟,王荣本.驾驶员眼部状态识别方法的研究[J].系统工程与电子技术,2003,25(10):1186-1188. |
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| 作者姓名： | 郭克友 储江伟 王荣本 |
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| 作者单位： | 吉林大学交通学院,吉林,长春,130025 |
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| 基金项目： | 教育部科学技术研究重点项目资助课题 (0 0 0 3 7) |
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| 摘 要： | 驾驶员在正常驾驶、瞌睡驾驶及疲劳驾驶 3种状态下的眼睛张开程度有一定的区别。根据这一特点 ,设计了一种 3层BP网络 ,利用图像预处理获取到的眼部区域特征值作为网络输入向量 ,输出对应 3种不同状态。实验结果表明 ,该网络可快速有效地识别出驾驶员眼部精神状态。
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| 关 键 词： | 行为监控 眼睛状态识别 BP神经网络 图像处理 |
| 文章编号： | 1001-506X(2003)10-1186-03 |
| 修稿时间： | 2002年9月15日 |
Study on the Recognition of the Driver's Eye States |
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| GUO Ke-you,CHU Jiang-wei,WANG Rong-ben.Study on the Recognition of the Driver''''s Eye States[J].System Engineering and Electronics,2003,25(10):1186-1188. |
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| Authors: | GUO Ke-you CHU Jiang-wei WANG Rong-ben |
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| Abstract: | Under the circumstances of the natural driving, drowsing driving and fatigued driving of a driver, the opening degrees of the eyes are different to some extent. Based on this characteristic, a three-layer artificial neural network is designed. The eigenvalues of the eye's area which are gained by image preprocessing are used as the inputs of the network, and the outputs of the network correspond to the three different conditions. Experiments have proved the validity of the network. |
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| Keywords: | Behavior monitor Eye states recognition BP neural network Image processing |
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