| With the rapid development of high-speed rail in China,the issue of safe operation of high-speed rail has become an issue of increasing concern.The detection of vigilance for high-speed rail drivers has become a research hotspot in the active safety technology field of high-speed rail.Therefore,a high-speed rail driver based on wireless wearable devices is designed to detect the vigilance of EEG signals of high-speed rail drivers in this paper.The main contents and research work are summarized as follows:First,a wireless wearable brain signal acquisition system for high-speed rail drivers was designed and fabricated.According to the relationship between human vigilance and the rhythm characteristics of EEG signals,the proper collection points for the brain electrode collection stem electrode are selected.Combined with ultra-high-impedance amplifier dry electrode and OpenBCI EEG acquisition module,the high-speed rail driver’s EEG signal acquisition experiment under different alert conditions was performed on the high-speed train digital simulation platform.Secondly,the types of human brain EEG signal interference and the methods of noise reduction are analyzed.The linear filter is combined with the wavelet decomposition to process the collected EEG signal.The down-sampling is used to reduce the computational load and improve the data quality of the EEG signal.Then,the EEG signal power spectral density is selected as a classification feature of high-speed rail drivers’ vigilance.Orthogonal matching tracking algorithm and K-SVD dictionary learning algorithm is used to alternate iteratively the sparse coefficient and the dictionary to obtain a learning dictionary for EEG signal.The sparse representation classification algorithm is used for high-speed rail driver vigilance classification detection.Finally,a warning system based on the vigilance of high-speed rail drivers is designed.An early warning strategy based on the vigilance of high-speed train drivers is proposed.The design experiment verifies the feasibility of early warning strategy for high speed rail driver vigilance. |