疲劳驾驶识别中的脑电信号特征选择算法和支持向量机模型研究

doi:10.3969/j.issn.0258-8021. 2014. 04.013

Abstract
Figure/Table
References (0)
Related Citation (15)

［1］李都厚, 刘群, 袁伟, 等. 疲劳驾驶与交通事故关系［J］. 交通运输工程学报, 2010, 10(2): 104-109.
［2］傅佳伟, 石立臣, 吕宝粮. 基于EEG的警觉度分析与估计研究综述［J］. 中国生物医学工程学报, 2009, 28(4): 589-596.
［3］Lin CT, Chang CJ, Lin BS, et al. A realtime wireless braincomputer interface system for drowsiness detection ［J］. IEEE Transactions on Biomedical Circuits and Systems, 2010, 4(4): 214-222.
［4］毛科俊, 刘小明, 赵晓华, 等. 基于脑电信号的驾驶疲劳预报关键参数选取［J］. 北京工业大学学报, 2010, 36(7): 966-970.
［5］胡淑燕, 郑钢铁. 基于EEG频谱特征的驾驶员疲劳监测研究［J］. 中国安全生产科学技术, 2010, 6(3): 90-94.
［6］Khushaba RN, Kodagoda S, Lal S, et al. Driver drowsiness classification using fuzzy waveletpacket based feature extraction algorithm ［J］. IEEE Transactions on Biomedical Engineering, 2011, 58(1): 121-131.
［7］Lin CT, Ko LW, Chung IF, et al. Adaptive EEGbased alertness estimation system by using ICAbased fuzzy neural networks ［J］. IEEE Transactions on Circuits and Systems I: Regular Papers, 2006, 53(11): 2469-2476.
［8］Duann JR, Chen PC, Ko LW, et al. Detecting frontal EEG activities with forehead electrodes ［J］. Lecture Notes in Computer Science, 2009, 5638: 373-379. 
［9］Peiris MTR, Jones RD, Davidson PR, et al. Detecting behavioral microsleeps from EEG power spectra ［C］// Proceedings of the 28th IEEE EMBS Annual International Conference. New York City: IEEE, 2006:5723-5726.
［10］Chuang CH, Lai PC, Ko LW, et al. Driver’s cognitive state classification toward brain computer interface via using a generalized and supervised technology ［C］// The 2010 International Joint Conference on Neural Networks (IJCNN). Barcelona: IEEE, 2010:1-7.
［11］Cao Lei, Li Jie, Sun Yaoru, et al. EEGbased vigilance analysis by using fisher score and PCA algorithm ［C］// 2010 IEEE International Conference on Progress in Informatics and Computing (PIC). Shanghai: IEEE, 2010, 1: 175-179.
［12］Shi Lichen, Lu Baoliang. Dynamic clustering for vigilance analysis based on EEG ［C］// 30th Annual International Conference of the IEEE, EMBS 2008: 54-57.
［13］Shi Lichen, Lu Baoliang. OffLine and onLine vigilance estimation based on linear dynamical system and manifold learning ［C］// Proceeding of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Buenos Aires: IEEE, 2010:6587-6590.
［14］Pan Jun, Ren Qingsheng, Lu Hongtao. Vigilance analysis based on fractal features of EEG signals ［C］// International Symposium on Computer, Communication, Control and Automation. Tainan: IEEE, 2010: 446-449.
［15］Ouyang Tian, Lu Hongtao. Vigilance analysis based on continuous wavelet transform of EEG signals ［C］// International Conference on Biomedical Engineering and Computer Science (ICBECS). Wuhan: IEEE, 2010: 1-4.
［16］王国胤. Rough集理论与知识获取［M］. 西安：西安交通大学出版社, 2001.
［17］谢宏, 程浩忠, 牛东晓. 基于信息熵的粗糙集连续属性离散化算法［J］. 计算机学报, 2005, 28(9):1570-1574.