Research On Fatigue Driving Safety Assistant System Based On Brain Cognition

With the rapid development of my country’s economy,cars have become an indispensable tool in people’s lives.With the increasing number of cars,it also brings certain safety hazards to road traffic.Statistics have found that driver fatigue driving is one of the main causes of traffic accidents.Therefore,this paper designs a fatigue driving safety assistance system based on brain cognition.The specific research content is as follows:(1)The hardware design of the safety auxiliary system.The system hardware is mainly composed of four parts: answering switch,micro-control unit,speaker and voice chip.The system is mainly controlled by the micro-control unit to control the voice chip,and conduct humancomputer interaction with the driver in the form of voice question and answer,thereby improving the driver’s alertness and realizing the relief of driver fatigue.The system is easy to install and carry,easy to operate,and has strong practicability.In addition,experiments have shown that the increased cognitive load of the system will not affect the driver’s ability to deal with unexpected problems.(2)Research on fatigue detection methods.This paper uses the complex brain function network that can effectively reflect the brain activity information to detect the fatigue state of the subjects.First,the wavelet packet is used to extract the denoised θ rhythm wave,and the correlation coefficient value between any two channels of the fourteen channels is calculated.It is used to construct the adjacent matrix,and then use the Pearson correlation coefficient method to determine the appropriate threshold T,and finally construct the brain network diagram of the T1-T7 stages in the two driving modes.At the same time,the relative power spectrum ratio that can reflect the energy change during the inability to drive phase is used to analyze driving fatigue.This paper specifically uses the ratio of β/(θ+α).In addition,this article combines the number of eye movements per minute counted by the BP neural network,and comprehensively analyzes the characteristics of driving fatigue.(3)Design of simulated driving experiment.In order to verify the effectiveness of the safety assistance system,this paper designs two types of experimental schemes based on brain cognition,one is the normal driving mode,and the other is the human-machine response mode.In order to ensure the validity of the experimental data,under the strict control of laboratory temperature and humidity conditions,12 healthy subjects used the laboratory simulator to perform driving tasks for3 and a half hours.In addition,the EEG acquisition device used in this article is Neuroscan,which uses 14-way electrodes that can effectively reflect the brain activity characteristics of the frontal,middle,and posterior regions of the human brain,which increases the practicability.The experimental results show that the mental fatigue of the driver in the human-machine response mode is lower than that in the normal driving mode.It is concluded that the safety assistance system proposed in this paper can effectively relieve driving fatigue.