标题:Vigilance analysis based on EEG band power using Support Vector Machine
作者:Sun, Hongyu ;Bi, Lijun ;Lu, Xiang ;Fan, Binghui ;Guo, Yinjing
作者机构:[Sun, Hongyu ;Bi, Lijun ;Lu, Xiang ;Guo, Yinjing ] College of Electronic Communication and Physics, Shandong University of Science and Technology, Sha 更多
会议名称:8th International Congress on Image and Signal Processing, CISP 2015
会议日期:October 14, 2015 - October 16, 2015
来源:Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
出版年:2015
页码:1090-1094
DOI:10.1109/CISP.2015.7408042
摘要:Vigilance analysis associated with safe driving based on EEG has drawn considerable attention of researchers in recent years. Preventing traffic accidents caused by low level vigilance is highly desirable. This paper presents a novel vigilance analysis system by evaluating electroencephalographic (EEG) changes. EEG signals are preprocessed with independent component analysis to eliminate noise from the original EEG recording. Then, EEG band power features are extracted by using Fast Fourier Transform (FFT). These features serve as an input for further classification. Support Vector Machine (SVM) is subsequently employed as a classifier to distinguish vigilance level. Nine healthy subjects participated in our experiment at which they drive a car in driving simulator. Experimental results reveal that the proposed approach could be used to develop a noninvasive monitoring system for vigilance state.
© 2015 IEEE.
收录类别:EI
资源类型:会议论文
TOP