Fatigue driving electroencephalogram monitoring method based on blink frequency identification

A blinking frequency, fatigue driving technology, applied in the field of brain wave monitoring, can solve the problem that the interface is only PC

Active Publication Date: 2015-11-18
XIAN UNIV OF SCI & TECH
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Problems solved by technology

Since NreuoSky's TGAM module can detect eye blinks, it itself provides an eye

Method used

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  • Fatigue driving electroencephalogram monitoring method based on blink frequency identification
  • Fatigue driving electroencephalogram monitoring method based on blink frequency identification
  • Fatigue driving electroencephalogram monitoring method based on blink frequency identification

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Experimental program
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Effect test

Embodiment Construction

[0098] Such as figure 1 A kind of fatigue driving EEG monitoring method based on blink frequency recognition shown, comprises the following steps:

[0099] Step 1. Brain wave signal collection: use the brain wave signal acquisition device 1 to collect and preprocess the driver's brain wave signal according to the preset sampling frequency, and transmit the preprocessed brain wave signal to the brain wave signal synchronously. Signal monitoring device 2;

[0100] In this step, the brain wave signal includes an original brain wave signal, and the sampling frequency of the original brain wave signal is 512Hz;

[0101] The EEG signal acquisition device 1 communicates with the EEG signal monitoring device 2 in a wireless communication mode; the EEG signal acquisition device 1 is a TGAM module, and the TGAM module includes extracting the driver's EEG signal The EEG signal extraction device 1-1 and the EEG signal preprocessing device 1-2 for sampling and preprocessing the signals e...

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Abstract

The invention discloses a fatigue driving electroencephalogram monitoring method based on blink frequency identification. The fatigue driving electroencephalogram monitoring method includes the steps that 1, brain wave signals are collected, wherein brain wave signals of a driver are collected, preprocessed and synchronously transmitted to a brain wave signal monitoring device; 2, the brain wave signals are analyzed and processed, the brain wave signals received in all analysis processing cycles are analyzed and processed according to the preset analysis processing frequency and the time sequence, and analysis processing includes the following steps that the brain wave signals received in the previous n analysis processing cycles are analyzed and processed, the blink judgment threshold is determined, statistics is conducted on the blink times of the driver in the precious n analysis processing cycles, the brain wave signals received in the n+1th analysis processing cycle are analyzed and processed, and the brain wave signals received in the next analysis processing cycle are analyzed and processed. The fatigue driving electroencephalogram monitoring method is simple in step, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.

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 blink frequency identification. Background technique [0002] In recent years, with the increase of car ownership and the expansion of road construction scale, problems such as traffic accidents have become increasingly prominent. China is the most populous country in the world, and the number of road traffic accident deaths is also the highest in the world, ranking first in the world for several consecutive years. Drivers risking fatigue driving will undoubtedly bring hidden dangers to the safety of themselves and passengers. The research on driving fatigue is divided into two methods: subjective and objective. The subjective research methods include subjective questionnaire, driver self-record, sleep habit questionnaire, and Stanford sleep scale. Objective research metho...

Claims

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Application Information

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IPC IPC(8): A61B5/18A61B5/0476
Inventor 付周兴汪梅温涛
Owner XIAN UNIV OF SCI & TECH
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