The Design Of Fatigue Driving Detection System And Its Embedded Implementation

This article applied a new fatigue detection method,and the requirement of the fatigue driving warning system can be realized by studying the change of the brain wave signal.In the entire hardware circuit,this experiment uses the TI company’s medical-grade EEG chip ADS1299,the main control MCU uses the mainstream STM32 series on the market,it filtered out the impact of the channel noise on the weak EEG signal and the interference of the external photoelectric noise,After reading the original EEG data collected by the EEG chip,MCU transmitted to the application layer through Bluetooth,and then a fast Fourier transform is performed in the application layer in order to obtain the frequency domain data value,and the Hanning window function is added through the software,thereby avoiding the problem of energy leakage in the frequency domain,and then the frequency domain of the data is divided into regions of the EEG band to obtain Theta,Alpha,and Beta values in the EEG frequency domain that can reflect the current degree of driver fatigue.The conclusions obtained through the research and analysis of the existing brain energetic science show that when the brain is awake,the magnitude of Beta of brain waves becomes significantly larger;when the human brain enters a doze state,it is the first stage of light sleep,the amplitude of the Alpha band of brain waves will become smaller.Using this kind of brain electricity science research theory to collect and analyze the Theta,Alpha wave and Beta of the driver every second,and verify the rationality of the design system based on the data trend of the collected data in the application scenario.Through the distribution of the waveform formed by the data collected by the application software on the experimentally designed hardware system,it can be satisfied with the fatigue monitoring of the driver during the current driving process.