A fatigue driving detection method based on electroencephalogram recognition

Abstract

The invention provides a fatigue driving detection system and method based on EEG identification. The fatigue driving detection system comprises an inertia measurement unit, an EEG collecting unit, a processor unit and an upper computer. The inertia measurement unit is fixed to the midpoint of a steering wheel and used for measuring the rotating angle of the steering wheel. The EEG collecting unit is worn by a tested person and used for collecting EEG signals of the tested person. The upper computer is used for carrying out fatigue driving detection according to the rotation angle, measured by the inertia measurement unit, of the steering wheel and the EEG signals collected by the EEG collecting unit, and sending the detection result to the processor unit. The processor unit is used for receiving the fatigue driving detection result and sending the received detection result to an upper computer control center in a wireless mode through a mobile base station. According to the fatigue driving detection system and method, a cospace mode and wavelet packet conversion are adopted, a fatigue driving detection state evaluation model based on EEG identification is built by collecting the EEG signals of the tested person and steering wheel driving operation information in the driving process, and fatigue driving detection is accurate.

Description

technical field [0001] The invention belongs to the technical field of digital signal processing, and in particular relates to a fatigue driving detection system and method based on electroencephalogram recognition. Background technique [0002] With the continuous improvement of the level of urbanization and motorization in our country, safety has become an increasingly serious problem in road traffic. In the transportation system, fatigue driving is the main cause of serious traffic accidents. The analysis of the causes of a large number of traffic accidents shows that in driving fatigue, the driver's perception fatigue and fatigue of judgment and decision-making are the main causes of traffic accidents. [0003] Fatigue driving is a major hidden danger of automobile driving safety, and the research on its detection method is of great significance to the improvement of traffic safety. At present, the detection methods for fatigue driving are mainly divided into subjective...

AI Technical Summary

Problems solved by technology

However, most of the current fatigue detection experiments require the subjects to sit quietly and close their eyes, and it is difficult to concentrate and the difference from the driving environment is relatively large. In addition, during the system training process, the subjects need to subjectively evaluate their fatigue state, so the experimental results are very important to the subjects. The tester is more dependent

[0004] To sum up, the traditional fatigue detection method has many disadvantages, and it cannot detect the fatigue degree of the driver very accurately and efficiently.

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