Title :
EEG based fatigue driving detection using wavelet packet sub-band energy ratio
Author :
Ning Ye ; Yuge Sun ; Jie Yang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Fatigue driving has been the fatal latent danger of automobile security, so it is important to research the fatigue driving detection method to improve the traffic security condition. EEG can reflect the driver´s brain activity directly. It is the most precise and objective method for fatigue driving detection. According to the character of EEG, the method of wavelet packet sub-band energy ratio to detect fatigue driving is presented. With analyzing the EEG, which is collected in simulate driving condition. The energy ratio of wave and slow wave is computed by wavelet packet coefficient and it is defined as F value. The experiment result showed the different subject has different F value, but to the same subject, F value is decrease with the driving time and fatigue level. The attenuation level compared with normal state can reflect the driver´s fatigue level.
Keywords :
driver information systems; electroencephalography; medical signal processing; road safety; road traffic; EEG based fatigue driving detection; automobile security; driver brain activity; fatal latent danger; traffic security condition; wavelet packet sub-band energy ratio; Electroencephalography; Fatigue; Frequency control; Time-frequency analysis; Vehicles; Wavelet packets; EEG; fatigue driving; sub-band energy ratio; wavelet packet;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162562