Driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination

Abstract

The invention discloses a driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination, comprising the steps: first, connecting devices and initializing parameters; connecting an electroencephalogram signal acquisition device with an electroencephalogram signal monitor terminal, and setting fatigue step parameters through a master control chip of the electroencephalogram signal monitor terminal; second, acquiring electroencephalogram signals: using the electroencephalogram signal acquisition device to acquire and pretreat electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to the electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: calling an electrooculogram determination module and an electroencephalogram determination module in the same time by the master control chip of the electroencephalogram signal monitor terminal, and analyzing the electroencephalogram signals acquired and pretreated by the electroencephalogram signal acquisition device. The method of the invention has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of the driver in a simple, quick and real-time manner and has high practical value.

Description

technical field [0001] The invention belongs to the technical field of electroencephalogram monitoring, and in particular relates to an electroencephalogram monitoring method for fatigue driving based on comprehensive determination of eye electricity and electroencephalogram. Background technique [0002] With the development of my country's economy and society, the rapid growth of my country's highway road construction, the number of cars and drivers has also increased rapidly, which brings convenience to daily life. At the same time, frequent traffic accidents have also brought major social consequences loss. Nowadays, various technical means to reduce the occurrence of traffic accidents and reduce casualties have been applied. Currently, the most used fatigue detection method is the analysis of driver's driving behavior, that is, by recording and analyzing the driver's steering wheel, stepping on the brakes, etc. Behavior characteristics such as driver fatigue can be judg...

AI Technical Summary

Problems solved by technology

Nowadays, various technical means to reduce the occurrence of traffic accidents and reduce casualties have been applied. Currently, the most used fatigue detection method is the analysis of driver's driving behavior, that is, by recording and analyzing the driver's steering wheel, stepping on the brakes, etc. and other behavioral characteristics to judge whether the driver is fatigued; however, this method is greatly affected by the driver's driving habits, and there is no unified, scientific and effective judgment theory to support it

Another type of fatigue detection method is to evaluate the fatigue of the driver's face and eye features through image analysis. This method uses the image acquisition and processing system to analyze whether the current driver is fatigued. It has certain real-time performance, but it is still not widely used. Applicability, because the biological characteristics of each person are different, and the external performance of some people's eyes does not represent the mental state at the moment, so there are also large errors; in addition, the current image acquisition and processing methods used in this method The system mainly includes ARM-based fatigue driving detection system, ear-mounted fatigue warning device, watch-t

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