| Sun Wei（孙伟）,Zhu Jiandong,He Jun,Zhang Weigong.[J].高技术通讯(英文),2014,20(2):146~153 |
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| Experimental study of fatigue degree quantification for multi-feature fusion identification |
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| DOI：10.3772/j.issn.1006-6748.2014.02.006 |
| 中文关键词: |
| 英文关键词: fatigue driving, fatigue degree quantification, fusion identification, experimental study |
| 基金项目: |
| Author Name | Affiliation | | Sun Wei（孙伟） | | | Zhu Jiandong | | | He Jun | | | Zhang Weigong | |
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| 中文摘要: |
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| 英文摘要: |
| A comprehensive quantification method of fatigue degree is proposed concerning subjective and objective quantifications. Using the fatigue degree test software, fatigue degree is objectively quantified by analyzing the reaction and operation abilities of drivers about traffic signals. By comparison experiment with that EEG signal based, multivariate statistical analysis and fusion identification based on BP neural network (BPNN) results show that the experimental procedure is simple and practical, and the proposed method can reveal the correlation between fatigue feature parameters and fatigue degree in theory, and also can achieve accurate and reliable quantification of fatigue degree, especially under the associated action of multiple fatigue feature parameters. |
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