title: Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG.
abstract: The vigilance of the driver is important for railway safety, despite not being included in the safety management system (SMS) for high-speed train safety. In this paper, a novel fatigue detection system for high-speed train safety based on monitoring train driver vigilance using a wireless wearable electroencephalograph (EEG) is presented. This system is designed to detect whether the driver is drowsiness. The proposed system consists of three main parts: (1) a wireless wearable EEG collection; (2) train driver vigilance detection; and (3) early warning device for train driver. In the first part, an 8-channel wireless wearable brain-computer interface (BCI) device acquires the locomotive driver's brain EEG signal comfortably under high-speed train-driving conditions. The recorded data are transmitted to a personal computer (PC) via Bluetooth. In the second step, a support vector machine (SVM) classification algorithm is implemented to determine the vigilance level using the Fast Fourier transform (FFT) to extract the EEG power spectrum density (PSD). In addition, an early warning device begins to work if fatigue is detected. The simulation and test results demonstrate the feasibility of the proposed fatigue detection system for high-speed train safety.
authors.affiliation: School of Information Science and Technical, Southwest Jiaotong University, Chengdu 610031, China. zxl627905@163.com.
authors.forename: Xiaoliang
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China. lijiali@my.swjtu.edu.cn.
authors.forename: Jiali
authors.initials: J
authors.lastname: Li
authors.affiliation: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China. liuyugang@swjtu.edu.cn.
authors.forename: Yugang
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China. zzt@swjtu.edu.cn.
authors.forename: Zutao
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China. wangzhuojun163@126.com.
authors.forename: Zhuojun
authors.initials: Z
authors.lastname: Wang
authors.affiliation: School of Information Science and Technical, Southwest Jiaotong University, Chengdu 610031, China. luodianyuan@my.swjtu.edu.cn.
authors.forename: Dianyuan
authors.initials: D
authors.lastname: Luo
authors.affiliation: School of Information Science and Technical, Southwest Jiaotong University, Chengdu 610031, China. zx871809141@gmail.com.
authors.forename: Xiang
authors.initials: X
authors.lastname: Zhou
authors.affiliation: School of Information Science and Technical, Southwest Jiaotong University, Chengdu 610031, China. zhumiankuan@126.com.
authors.forename: Miankuan
authors.initials: M
authors.lastname: Zhu
authors.affiliation: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China. wldsalman6@gmail.com.
authors.forename: Waleed
authors.initials: W
authors.lastname: Salman
authors.affiliation: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China. ghu@home.swjtu.edu.cn.
authors.forename: Guangdi
authors.initials: G
authors.lastname: Hu
authors.affiliation: Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA. chbwang@iastate.edu.
authors.forename: Chunbai
authors.initials: C
authors.lastname: Wang
keywords: brain-computer interface; fatigue detection system; high-speed train safety; vigilance detection; wireless wearable