多特征融合的驾驶员疲劳状态检测方法
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方浩杰,董红召,林少轩,罗建宇,方勇
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Driver fatigue state detection method based on multi-feature fusion
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Hao-jie FANG,Hong-zhao DONG,Shao-xuan LIN,Jian-yu LUO,Yong FANG
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| 表 8 NTHU数据集的不同疲劳状态识别结果 |
| Tab.8 Different fatigue state identification results of NTHU dataset |
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| 组数 | 真实状态 | 眼部 | | 嘴部 | Q | 识别结果 | | BF | ECN | ECR | YF | MOR | | 1 | 清醒 | 23 | 0 | 0.022 | | 1 | 0.05 | 0.18 | 清醒 | | 1 | 疲劳 | 25 | 3 | 0.053 | 2 | 0.1 | 0.65 | 疲劳 | | 1 | 重度疲劳 | 34 | 4 | 0.050 | 2 | 0.12 | 0.74 | 重度疲劳 | | 2 | 清醒 | 25 | 1 | 0.035 | 0 | 0 | 0.21 | 清醒 | | 2 | 疲劳 | 20 | 2 | 0.047 | 3 | 0.15 | 0.62 | 疲劳 | | 2 | 重度疲劳 | 20 | 5 | 0.055 | 3 | 0.2 | 0.89 | 重度疲劳 | | 3 | 清醒 | 22 | 0 | 0.042 | 0 | 0 | 0.21 | 清醒 | | 3 | 疲劳 | 17 | 1 | 0.039 | 3 | 0.17 | 0.57 | 疲劳 | | 3 | 重度疲劳 | 25 | 3 | 0.045 | 3 | 0.18 | 0.74 | 重度疲劳 |
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