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个人信息Personal Information
副教授
硕士生导师
性别：男
毕业院校：吉林大学
学位：博士
所在单位：机械工程学院
学科：车辆工程. 载运工具运用工程
办公地点：大连理工大学综合实验2号楼419B
联系方式：大连市甘井子区凌工路2号大连理工大学汽车工程学院 手机：15542361218
电子邮箱：zhangmh@dlut.edu.cn
Hybrid Model for Early Onset Prediction of Driver Fatigue with Observable Cues
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论文类型：期刊论文
发表时间：2014-01-01
发表刊物：MATHEMATICAL PROBLEMS IN ENGINEERING
收录刊物：SCIE、EI
卷号：2014
ISSN号：1024-123X
摘要：This paper presents a hybrid model for early onset prediction of driver fatigue, which is the major reason of severe traffic accidents. The proposed method divides the prediction problem into three stages, that is, SVM-based model for predicting the early onset driver fatigue state, GA-based model for optimizing the parameters in the SVM, and PCA-based model for reducing the dimensionality of the complex features datasets. The model and algorithm are illustrated with driving experiment data and comparison results also show that the hybrid method can generally provide a better performance for driver fatigue state prediction.