Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for EEG monitoring of fatigue driving

A fatigue driving and EEG technology, applied in the field of EEG monitoring, can solve problems such as lack of universal applicability, inconvenient steering wheel operation, and inability to solve the problem of falling asleep suddenly

Inactive Publication Date: 2019-05-31
XIAN UNIV OF SCI & TECH
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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-type fatigue driving detection system, steering wheel touch-type fatigue driving detection system, etc. The problem with the ARM-based fatigue driving detection system is that the system structure is too complicated , the function is single, and the reliability is poor; the function of the ear-hanging fatigue alarm is very simple, and the alarm is issued when the head is lowered. ;The watch-type fatigue driving detection system uses the beating of the pulse to estimate whether a person is tired. There is no scientific theoretical support and authoritative scientific basis, and it cannot solve the problem of falling asleep suddenly; Some sensors are used to sense whether the driver is holding the steering wheel, and whether the driver is holding the steering wheel is not directly related to the fatigue state, and the installation of the sensor makes the steering wheel operation inconvenient
[0003] In addition, most of the fatigue driving detection methods currently used are measured before or after driving, which are leading or lagging, rather than real-time. Moreover, it is very difficult to install complex detection instruments in the limited space of the cab; and , the driver's mental state is different when he leaves the cab or does not enter the cab

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for EEG monitoring of fatigue driving
  • A method for EEG monitoring of fatigue driving
  • A method for EEG monitoring of fatigue driving

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0100] Such as figure 1 A kind of fatigue driving EEG monitoring method shown, comprises the following steps:

[0101] Step 1, equipment connection and parameter initialization: connect the EEG signal acquisition device 1 to the EEG signal monitoring terminal 2, and set the fatigue step parameter s_c through the main control chip 2-1 of the EEG signal monitoring terminal 2; , the value of the fatigue step parameter s_c is 0;

[0102] Described electroencephalogram acquisition device 1 is Mindwave Mobile brain cube earphone or TGAM module; Described electroencephalogram monitoring device 2 comprises main control chip 2-1 and the clock circuit 2-6 that is connected with main control chip 2-1 and respectively Alarm prompt unit 2-2.

[0103] In actual use, the EEG signal monitoring device 2 is located in the vehicle driven by the driver.

[0104] Step 2. Brain wave signal collection: use the brain wave signal acquisition device 1 to collect and preprocess the driver's brain wav...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an EEG monitoring method for fatigue driving, comprising steps: 1. Equipment connection and parameter initialization: connecting an EEG signal acquisition device with an EEG signal monitoring terminal, and setting fatigue step parameters; 2. Electromagnetic signal acquisition: the brainwave signal acquisition device is used to collect and preprocess the driver's brainwave signal, and the brainwave signal is synchronously transmitted to the brainwave signal monitoring terminal; 3. Brainwave signal analysis and processing: the brainwave signal monitoring terminal The EEG judgment module is called to analyze and process the EEG signals collected and preprocessed by the EEG signal acquisition device respectively. The process is as follows: determination of the threshold for blinking times, analysis and processing of EEG signals before fatigue driving judgment, and EEG signals after fatigue driving judgment. Signal analysis and processing. The method of the invention has the advantages of simple steps, reasonable design, convenient realization and good use effect, and can monitor the fatigue driving state of the driver simply, quickly and accurately in real time.

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. 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 judged; however, this method is greatly affected by the driver's driving habits, and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476A61B5/18
CPCA61B5/0006A61B5/18A61B5/72A61B5/7405A61B5/746A61B2503/22A61B5/369
Inventor 汪梅程松贺开明高唱
Owner XIAN UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products