CN111080971A

CN111080971A - Fatigue driving early warning system

Info

Publication number: CN111080971A
Application number: CN201811215388.1A
Authority: CN
Inventors: 杨晨曦; 张希
Original assignee: Individual
Current assignee: Individual
Priority date: 2018-10-18
Filing date: 2018-10-18
Publication date: 2020-04-28

Abstract

The invention discloses a traffic safety and electroencephalogram signal real-time monitoring and fatigue safe driving early warning system. The intelligent terminal comprises a signal acquisition module, a signal processing and transmitting module and a signal receiving and alarming module which are sequentially connected, wherein the signal acquisition module consists of an electroencephalogram sensor and a denoising amplifying circuit and is mainly responsible for acquiring electroencephalogram signals in real time, denoising and amplifying the electroencephalogram signals to obtain original electroencephalogram signals, the signal processing and transmitting module is responsible for carrying out A/D conversion on the original electroencephalogram signals, the obtained digital signals are transmitted to an intelligent terminal through Bluetooth, the terminal judges the driving state of the intelligent terminal through a fatigue judgment method, if the condition of the judgment method is met, the intelligent terminal starts an alarming device to provide corresponding early warning measures for a driver, and a sensor informs a GPS module to acquire position information after violent collision occurs, and the GPS module is used for seeking help by transmitting the information to a preset number.

Description

Fatigue driving early warning system

Technical Field

The invention belongs to the field of fatigue safe driving and electronic communication, and particularly relates to a traffic safety and electroencephalogram signal monitoring and fatigue safe driving early warning system.

Background

With the development of highways and private cars in recent years, the safety of automobiles also becomes a focus of much attention. According to the statistical data display of the national statistical department: among the traffic accidents that have occurred, there is an accident of about 1/3 that is caused by fatigue driving. These accidents not only cause losses to the lives and properties of individuals, but also have a great impact on the country and society. Therefore, the research of a reliable fatigue early warning driving system is an urgent need of the society.

The current detection methods for fatigue driving can be roughly divided into two categories: the first method is a method of judging the mental state of the driver by recognizing external sensory characteristics, which has strong randomness and large error. The second method is to determine the state of a person by physiological characteristics of the person, including an Electrocardiographic (ECG) method, an electromyographic (emg) method, and an electroencephalographic (eeg) method, in which electroencephalographic signals are considered as signals that can reflect the most characteristics of the fatigue state of the person.

Disclosure of Invention

In view of the above problems, the present invention aims to provide a reliable fatigue early warning system based on electroencephalogram signal real-time monitoring. The system can acquire electroencephalogram signals of a driver in real time, analyze and process the electroencephalogram signals, effectively identify and monitor the fatigue state of the driver, perform early warning processing of different degrees on the driver in the fatigue state, and send out position information for help after a violent collision accident occurs.

In order to meet the requirements, the fatigue driving early warning system based on electroencephalogram real-time fatigue monitoring comprises three parts of an original signal acquisition part, a signal processing and transmitting part and a signal receiving and safety alarming part.

The signal acquisition part is responsible for acquiring original data of real-time electroencephalogram signals of a driver and performing denoising and two-stage amplification processing.

The signal processing and sending part is mainly responsible for carrying out digital processing on the original electroencephalogram signals collected by the collecting part, namely carrying out A-D conversion on the original electroencephalogram signals, converting the original electroencephalogram signals into digital signals capable of being processed by a computer or a microprocessor, carrying out fatigue algorithm identification on the processed digital signals, judging whether the states of the processed digital signals are fatigue states or not, and transmitting the identified state information to the intelligent terminal through Bluetooth.

The signal receiving and alarming part is mainly responsible for carrying out early warning processing on information sent by the processing part, and when violent collision occurs, the terminal can collect GPS position information and send the GPS position information to a search and rescue department for help, and the terminal can adopt a common mobile phone as a receiving part or a vehicle-mounted embedded system as an early warning module.

The invention is characterized in that the electroencephalogram signal can be collected in real time and monitored, and the collected electroencephalogram signal is filtered and amplified.

And then the analog signals after filtering and amplification are converted into digital signals through signal processing and sent to a signal receiving and safety alarm module.

The module identifies the state of the signal through a built-in fatigue discrimination method, and accurately and effectively monitors and discriminates the electroencephalogram state in real time through two effective discrimination modes, so that the effective early warning effect on the fatigue state of a driver is realized.

Meanwhile, after violent collision occurs, the pressure collision sensor collects geographical position information and automatically asks for help from search and rescue departments.

Detailed Description

For a further understanding of the invention, its aspects and features, the embodiments are as follows:

the invention relates to a real-time fatigue monitoring system based on electroencephalogram, which comprises three parts: the device comprises an original electroencephalogram signal acquisition part, a signal processing and transmitting part and a signal receiving and alarming part. The signal acquisition part adopts an electroencephalogram sensor, the power supply voltage of the electroencephalogram sensor is 1.5v, the sampling frequency is 512Hz, and the electroencephalogram signal of a human body is acquired by adopting a single dry electrode measurement mode.

The electroencephalogram signals acquired through the acquisition also contain a plurality of noise signals, so the principle that the electroencephalogram signals need to be subjected to denoising processing and denoising is as follows: firstly, a single dry electrode of an electroencephalogram sensor collects electroencephalograms of a driver, the collected electroencephalograms are amplified through a first-stage amplification circuit and also comprise noise signals, then the amplified signals are filtered and denoised through a two-stage filter with a high pass and a low pass to obtain the noise-removed electroencephalograms, and the noise-removed electroencephalograms are weak and then amplified again through a second-stage amplification circuit to obtain the processed original electroencephalograms.

And if the computed value of y of the electroencephalogram signal x is greater than or equal to 1, the electroencephalogram signal x is considered to be in a fatigue state.

And if the value of the y calculated by the electroencephalogram signal x is less than 1, the electroencephalogram signal x is considered to be in an awake state.

And finally, judging whether the two conditions are met or not, and judging whether the driver is in a fatigue state or not.

The fatigue state can be accurately and efficiently judged by continuously comparing the collected real-time electroencephalogram signals with the sample space, calculating and comparing with the threshold value.

In the implementation process, due to the time-varying property of the electroencephalogram signal, the state of the real-time signal needs to be continuously judged, so that the integrity of information is ensured in the transmission process of the signal, and the phenomenon of information loss is avoided. Meanwhile, the electroencephalogram characteristics of each person are different to a certain degree, and the accuracy of the determination of the discrimination threshold can be ensured only by testing a large amount of experimental data.

And after the signals are judged, the corresponding information of the driving state is obtained, and if the intelligent terminal is in a fatigue state, the intelligent terminal starts an alarm device to give an early warning prompt to the intelligent terminal. This intelligent terminal both can be present popular android system cell-phone, also can be on-vehicle embedded terminal, go to differentiate the state of locating through the algorithm earlier to set up corresponding early warning information, can record different voice information in advance, carry out audio alert to its fatigue state, can also indicate the driver to be in the fatigue driving state through the vibration in android terminal cell-phone simultaneously, please take corresponding measure for safety consideration, avoid producing dangerous accident.

The alarm module is also added with a function of sending information for help, when the automobile has a collision traffic accident due to improper operation of a driver or other reasons, the pressure collision sensor senses the accident and informs the GPS module to start to acquire the geographical position information.

The collected position information is sent to a preset help-seeking number through intelligent terminal software, and is attached with the help-seeking information edited in advance to ask for help.

Claims

1. A fatigue driving early warning system comprises a signal acquisition module, a signal processing and transmitting module and a signal receiving and safety warning module which are sequentially connected; the device is characterized in that the signal acquisition module consists of an electroencephalogram sensor and a denoising amplification circuit and is responsible for acquiring real-time electroencephalogram signals and denoising and amplifying the signals; the signal processing and sending module consists of a microprocessor and Bluetooth, the microprocessor is responsible for carrying out analog-to-digital conversion on the original electroencephalogram signal and converting the converted electroencephalogram signal into a digital signal which is convenient to process, and the converted digital signal is sent to the signal receiving and safety alarm module through the Bluetooth; the signal receiving and safety alarm module consists of an intelligent terminal with a built-in fatigue algorithm and a pressure collision sensor, is responsible for carrying out fatigue judgment processing on the sent electroencephalogram, starts an alarm device of the intelligent terminal if the condition of the fatigue judgment algorithm is met, prompts a driver to pay attention to safe driving, and automatically sends out distress information when violent collision occurs.

2. The fatigue driving warning system according to claim 1, wherein: the signal acquisition module is used for acquiring electroencephalogram signals in real time and denoising and amplifying the electroencephalogram signals.

3. The fatigue driving warning system according to claim 1, wherein: the signal processing and sending module is provided with a microcomputer processing chip for carrying out analog-to-digital conversion on signals.

4. The fatigue driving warning system according to claim 1, wherein: the intelligent terminal is a vehicle-mounted embedded terminal or an intelligent mobile phone based on an android system.

5. The fatigue driving warning system according to claim 1, wherein: the built-in fatigue discrimination algorithm of the system discriminates the fatigue state.

6. The fatigue driving warning system according to claim 1, wherein: the intelligent terminal is internally provided with an alarm device to provide early warning for a driver through early warning measures, and is also internally provided with a pressure collision sensor and a GPS module, so that position information is automatically sent to a search and rescue department for help after violent collision occurs.