Fatigue driving early warning system based on electroencephalogram analysis

Abstract

The invention discloses a fatigue driving early warning system based on electroencephalogram analysis. The fatigue driving early warning system includes an electroencephalogram acquisition subsystem,an electroencephalogram analysis subsystem and a driving early warning subsystem, wherein the electroencephalogram acquisition subsystem used for acquiring electroencephalogram analog signals, obtaining and transmitting electroencephalogram digital signals by preprocessing; the electroencephalogram analysis subsystem used for extracting feature and analyzing of the electroencephalogram digital signals and conducting time domain waveform display, the electroencephalogram digital signals are recognized by using an SVM multiple-classification recognition algorithm, and the classification result of driving state dispersed grade which a driver is located is obtained and transmitted; the driving early warning subsystem includes an intelligent early warning hand ring used for conducting early warning control according to the driving state dispersed grade which the driver is located and a vehicle-mounted monitoring device used for conducting early warning control according to the driving statedispersed grade in which the driver is located. The fatigue driving early warning system uses the electroencephalogram signals to classify and recognize, whether the driver monitored by the vehicle-mounted monitoring device is in a heavy dispersed state or not judged, early warning is conducted, and the fatigue driving early warning system is high in judging precision, timely in early warning, convenient to carry and easy to operate and has the high practical value.

Description

technical field [0001] The invention relates to a fatigue driving early warning system based on electroencephalogram signal analysis, which belongs to the technical field of early warning systems. Background technique [0002] In my country, about 30,000 people die every year due to fatigue driving, and more than 400,000 people are injured. The so-called fatigue driving refers to the phenomena such as weakness of limbs, distraction, and decline of judgment ability that occur when the driver drives in a monotonous environment (for example, on the highway or at night) for a long time. If the driver still drives the vehicle despite the above phenomenon, it is very likely to cause a traffic accident. The fatigue driving warning system is to accurately display the driving status of the driver in real time, and to remind the driver when he feels tired, so as to avoid the occurrence of traffic accidents and reduce the probability of traffic accidents. Therefore, it is necessary t...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a fatigue driving warning system based on EEG signal analysis, and solve the problem that the change of EEG signal rhythm wave cannot be used in the prior art to judge the driver's status. The problem of status and early warning is to detect the driver's fatigue level based on the analysis of EEG signals, and the system aims to give early warning and reminder when the driver is fatigued by classification and recognition

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