CN109717853A - Vehicle carried driving person's fatigue detecting system based on raspberry pie - Google Patents
Vehicle carried driving person's fatigue detecting system based on raspberry pie Download PDFInfo
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Abstract
Vehicle carried driving person's fatigue detecting system based on raspberry pie that the invention discloses a kind of, including information acquisition module, control processing module, GPRS transmission module, warning module, cloud；The information acquisition module includes heart rate acquisition module, picture recognition module, brain electricity module, Beidou positioning module；The control processing module, select raspberry pie 3B+, it is connect by modes such as USB, bluetooths with information acquisition module, is connect by USB RS 232 Serial Port Line with GPRS transmission module, is connect by HDMI, USB interface, GPIO mouthfuls or audio output interface with warning module；The GPRS transmission module selects SIM800C module；The warning module includes display module, vibration module, voice module；The cloud is for realizing the concentration of driver information, classification, storage.Vehicle carried driving person's fatigue detecting system of the invention has many advantages, such as multi-faceted detection, low-power consumption, system accuracy, high efficiency, can establish fatigue driving comprehensive assessment system well, guarantees driver's security of the lives and property.
Description
Technical field
The present invention relates to a kind of driving detection system, in particular to a kind of fatigue driving detecting system.
Background technique
With the development of social economy, motor vehicles are growing day by day, and fatigue driving is always the weight for influencing driving safety
Want one of factor.According to the statistics of traffic department, China, because caused by fatigue driving traffic accident account for about total traffic accident 20%,
The 83% of 40% and traffic death toll of especially big traffic accident, wherein the ratio that driver tired driving causes accident is high
Up to 73%.Currently, driving behavior detection main method is some specific index for physiological driver's psychology in driving process
It is detected, therefore, to reduce traffic accident caused by fatigue driving and ensureing the personal safety of people, research is effective
It is very necessary and be of great significance that onboard system carrys out the fatigue state of real-time detection driver.
Traditional Study in Driver Fatigue State Surveillance System is roughly divided into based on two class of physiological signal and behavioural characteristic, but respectively has its excellent
It is bad.Detection system precision with higher based on physiological signal feature, but since sensor and driver contact, it will affect and drive
The person of sailing drives；The detection system of Behavior-based control feature will not influence driver's driving, but by driver personal habit, traveling speed
The influence of degree, road environment, detection accuracy be not high.
Summary of the invention
Vehicle carried driving person's fatigue detecting system based on raspberry pie that the object of the present invention is to provide a kind of, improves the peace of driving
Full property and reliability.
The object of the present invention is achieved like this: a kind of vehicle carried driving person's fatigue detecting system based on raspberry pie, including
Information acquisition module, control processing module, GPRS transmission module, warning module, cloud；
The information acquisition module is for acquiring driver information, comprising: heart rate, facial characteristics, behavior, brain electricity, location information,
Drive duration；
The control processing module, for receiving and processing information acquisition module data, processing is converted into every driver information,
And judge the fatigue state of user, driver information, fatigue state are then transmitted to warning module and GPRS transmission module；
The GPRS transmission module, treated for will control processing module every driver information, fatigue state are transmitted to
Cloud；
The warning module, for carrying out acousto-optic, vibration early warning according to the judging result of control processing module；
The cloud for realizing the concentration and mass data of computing resource classification, arrangement, storage.
Further limited as of the invention, the information acquisition module include heart rate acquisition module, picture recognition module,
Brain wave acquisition module and Beidou positioning module；
Heart rate acquisition module, for acquiring the heart rate of user；
Picture recognition module, for acquiring facial characteristics and the behavior of user；
Brain wave acquisition module, for acquiring the EEG signals of user and then obtaining its focus；
Beidou positioning module, for acquiring the location information of user, driving duration.
It is further limited as of the invention, the heart rate acquisition module is bracelet body-worn device, comprising:
Optics heart rate sensor is transmitted to DA14580 core for measuring the transmittance data in user's blood, and by the data
Piece；
DA14580 chip carries out modulus for pre-processing to transmittance data, and by the ADC module of the built-in chip type
Conversion, seeks the heart rate of user later, gives control processing module by " bluetooth " technology transfer；It is described pretreatment include filtering,
Except making an uproar；
The bluetooth module of DA14580 built-in chip type, for heart rate to be transmitted to control processing module；
Described image identification module is selected:
The image of acquisition is issued control processing by USB interface for acquiring facial characteristics and the behavior of user by camera
Module；
The brain wave acquisition module is wear-type device, comprising:
Forehead EEG pole, ear-clip electrodes, for acquiring the EEG signals of user and being transmitted to TGAM chip, the EEG signals packet
Include α wave, β wave, θ wave；
TGAM chip, for receiving EEG signals and carrying out preliminary treatment to it, and according to treated, EEG signals calculate use
Then the focus at family comes into control processing module by USB interface；Wherein, the preliminary treatment includes filtering, amplification, A/D
Conversion；
The Beidou positioning module is selected:
ATK-S1216F8-BD GPS/ Beidou module, for measuring the location information of user, driving duration, using UART mode
Output, the GPS/ Beidou location data of output use NMEA-0183 agreement, and control protocol is SkyTraq agreement, the data of output
Control processing module is given by GPIO oral instructions.
It is further limited as of the invention, the control processing module selects raspberry pie 3B+, and raspberry pie system is selected
Raspbain stretch system is remotely connected by ssh, is mounted with the databases such as MySQL, WiringPi, the design at interface
It is realized using QT, is programmed by QT and read serial data, for receiving and processing information acquisition module data, processing is converted into each
Driver information, and judge the fatigue state of user, then by driver information, fatigue state be transmitted to warning module and
GPRS transmission module；
It is further limited as of the invention, the warning module includes:
Display module is used for real-time display items driver information, fatigue state, hazardous act；
Vibration module reminds user for realizing driver's seat vibration；
Voice module reminds user for playing alarm signal.
It is further limited as of the invention, the display module includes LCD touch screen, passes through the HDMI of LCD touching screen
Interface is connect with the HDMI interface of control processing module, the Touch interface of LCD touch screen and the USB interface of control processing module
Display warning information and physiological parameter are realized in connection；
The vibration module includes L298N pressure stabilizing driving circuit, the vibrating motor being sequentially connected, and can be realized the vibration of different frequency
It is dynamic；
The voice module realizes audio alert by audio output interface, external SYN6288 voice playing module.
It is further limited as of the invention, the warning module can carry out corresponding sound according to the fatigue state of user
Light, vibration early warning, the concrete mode of work are as follows:
If the behavior of user is judged as dangerous driving behavior or fatigue state is judged as slight fatigue, severe fatigue, show
Show module flashing display current dangerous driving behavior or fatigue state as a result, vibration module works, so that driver's seat vibration, voice
Module plays alarm signal simultaneously, forewarning function is played, to remind user；
Wherein, for slight fatigue, the tired two kinds of fatigue states of severe, the frequency of vibration module work is higher than light when severe fatigue
The corresponding frequency of degree fatigue.
It is further limited as of the invention, the determination method of the fatigue state are as follows:
Using logistic regression analysis model, according to the heart rate h of user, the number of winks e of facial characteristics i.e. one minute, behavior i.e. one
The number y that yawns of minute, brain electricity i.e. focus c, the optimized parameter determined after duration t and model training is driven, seek to be measured
The fatigue state value of object:
In formula, x is yawn the number y, brain of number of winks e by heart rate h, facial characteristics i.e. one minute, behavior i.e. one minute
Electricity is focus c, drives the matrix that duration t is formed,；θTFor the matrix after optimized parameter θ transposition.
According to fatigue state degree valueSize determine user fatigue state；Specifically:
If, then the fatigue state of object to be measured is severe fatigue；
If, then the fatigue state of object to be measured is slight fatigue；
If, then the fatigue state of object to be measured is awake；
Wherein,,。
It is further limited as of the invention, the GPRS transmission module is selected:
SIM800C module is selected, is the GSM/GPRS module of a compact dimensions, control processing module passes through USB RS 232 string
Mouthful send AT command set to GPRS module, initialize GPRS module work, etc. GPRS modules be attached to after GPRS network, obtain
Cloud IP address makes cloud establish connection, realizes that the data in control processing module and cloud send and receive.
Compared with prior art, the present invention its remarkable advantage are as follows: 1) the present invention is based on the vehicle carried driving person of raspberry pie fatigues
Detection system, control processing module use raspberry pie 3B+, have good operation/processing capacity and a large amount of GPIO interface,
Have good scalability, install convenient, cost performance height；2) multisource information fusion technology is used, the acquisition of multisignal source is carried out,
It maximizes favourable factors and minimizes unfavourable ones, gives full play to respective advantage, the signal source of selection is more fully reliable, and it is more objective that signal source acquires accuracy
It sees；3) present invention carries out vehicle location, driving duration detection using Beidou module, breaches traditional GPS positioning method；4) this hair
The detection of the bright fatigue state that can be used for all kinds of drivers and the early warning of vehicle drive safety；5) present invention adopts onboard system
The corresponding judgement result of collection data is uploaded to cloud database, can check to the historical behavior of driver, is convenient for traffic police
The numerous drivers that department or logistics, passenger company are responsible for it are monitored management.
Detailed description of the invention
Fig. 1 is that system of the invention constitutes schematic diagram.
Fig. 2 is system function flow diagram of the invention.
Fig. 3 is the present invention about raspberry pie master control borad assembling schematic diagram.
Specific embodiment
A kind of vehicle carried driving person's fatigue detecting system based on raspberry pie as shown in Figure 1, including sequentially connected information
Acquisition module, control processing module, GPRS transmission module, warning module, cloud；
Information acquisition module includes the heart rate acquisition module of user, picture recognition module, brain electricity module, Beidou positioning module；The heart
Rate acquisition module, for acquiring the heart rate of user；Picture recognition module, for acquiring facial characteristics and the behavior of user；Brain
Electric acquisition module, for acquiring the EEG signals of user and then obtaining its focus；Beidou positioning module, for acquiring user's
Location information drives duration.
Processing module is controlled, raspberry pie 3B+, heart rate, facial characteristics, behavior, brain for acquiring according to signal source are selected
Electricity drives duration, judges the fatigue state of user.
The fatigue state of user is judged using logistic regression analysis model, according to the heart rate h of user, facial characteristics i.e. one point
After the number of winks e of clock, the number y that yawns of behavior i.e. one minute, brain electricity i.e. focus c, driving duration t and model training really
Fixed optimized parameter, seek the fatigue state value of object to be measured:
In formula, x is yawn the number y, brain of number of winks e by heart rate h, facial characteristics i.e. one minute, behavior i.e. one minute
Electricity is focus c, drives the matrix that duration t is formed,；θTFor the matrix after optimized parameter θ transposition.
According to fatigue state degree valueSize determine user fatigue state；Specifically:
If, then the fatigue state of object to be measured is severe fatigue；
If, then the fatigue state of object to be measured is slight fatigue；
If, then the fatigue state of object to be measured is awake；
Wherein,,；
Finally, by driver information and judging resultIt is transmitted to warning module and GPRS module；
GPRS transmission module selects SIM800C module, using GPRS function, items that treated for will control processing module
Driver information, fatigue state are transmitted to cloud；
Warning module, including display module, vibration module, voice module, for according to control processing module judging result into
Row acousto-optic, vibration early warning；Display module is used for real-time display items driver information, fatigue state, and handles mould according to control
The judging result of block carries out light early warning；
Cloud is for realizing the concentration of driver information, classification, storage.
As shown in Fig. 2, based on above-mentioned vehicle carried driving person's fatigue detection method based on raspberry pie, comprising the following steps:
Step 1 acquires signal source information by information acquisition module, including by the heart rate of user, face feature information, EEG signals
The focus of acquisition, the location information of Beidou and driving duration；
The collected signal source information of step 1 is transferred to control processing module by step 2；
Step 3, control processing module handle out driver information according to signal source information, and judge the fatigue state of user；
Driver information that step 3 obtains, fatigue state are transmitted to warning module and GPRS module, warning module root by step 4
Corresponding acousto-optic, vibration early warning are carried out according to fatigue state, data are uploaded to cloud by GPRS module.
As shown in figure 3, Beidou positioning module in the embodiment of the present invention, using ATK-S1216F8-BD GPS/ Beidou module,
For measuring the location information of user, driving duration, Beidou positioning module is exported using UART mode, the GPS/ Beidou of output
Location data uses NMEA-0183 agreement, and control protocol is SkyTraq agreement, the data of output by GPIO mouthfuls of TXD with
RXD sends control processing module to.
Heart rate acquisition module, selects optics heart rate sensor and DA14580 chip, and optics heart rate sensor measures driver
Transmittance data in blood, and the data are transmitted to DA14580 chip, DA14580 chip filters transmittance data
Wave carries out analog-to-digital conversion except making an uproar, and by the ADC module of the built-in chip type, seeks the heart rate of driver, DA14580 core later
Heart rate is finally transmitted to control processing module by the bluetooth module built in piece.When object to be measured is in a state of fatigue, heart rate meeting
It significantly rises, can be used as the information source that control processing module carries out tired comprehensive judgement.
What image capture module was selected is camera, acquires the behavior video of driver, and pass through the USB in transmission module
Communication module, by the collected driving behavior transmission of video of camera to controlling processing module.Because object to be measured makes a phone call,
Smoking, the behaviors such as one hand drive, yawn, bow are easy to go to perceive from vision level, and in a period of time when the closure of human eye
Between account for the ratio of total time, can be used to determine fatigue, can be used as the information source that control processing module carries out tired comprehensive judgement.
Brain wave acquisition module selects the wear-type device being made of forehead EEG pole, ear-clip electrodes, TGAM chip, forehead
Brain electrode, ear-clip electrodes acquire the α wave of driver, β wave, θ wave and are transmitted to TGAM chip, and TGAM chip is filtered, puts
Greatly, A/D converts, calculates the focus of driver, and focus is transmitted to control processing module finally by USB interface.When driving
When the person of sailing is in a state of fatigue, human brain liveness is reduced, and so as to cause the reduction of β wave, but α wave increases, when fatigue state is changed into
When sleep state, the main frequency of brain electricity can be down to θ wave, therefore can be used as by α wave, β wave, the calculated focus of θ wave
Control the information source that processing module carries out tired comprehensive judgement.
Processing module is controlled, raspberry pie 3B+ chip is selected, which has the basic function of all PC, and rich interface is full
The functional requirement of sufficient this system, for handling behavior video, heart rate, focus data, judgement driver fatigue state and behavior,
And early warning is carried out by distribution pin level height control warning module, while by data and determining that result is uploaded to cloud.Tree
Certain kind of berries factions system selects Raspbain stretch system, is mounted with the databases such as MySQL, WiringPi, using QT design interface,
It is remotely connected in notes local terminal by ssh and the related software of raspberry pie is installed, under QT platform, write QT program, adjusted
Brain electricity focus information is obtained with serial ports one, serial ports two is called to transfer camera shooting Parent-offspring correlations and behavior, calls bluetooth module,
Heart rate information is obtained, by GPIO mouthfuls of acquisition Beidou positioning informations, is driven using serial ports four and HDMI interface real-time display items
Member information, fatigue state, hazardous act judge level of fatigue finally by Multi-source Information Fusion, finally serial ports three are called to make
With GPRS transmission module, data are uploaded to cloud in real time, it can be in display module and cloud real time inspection.
In warning module, display module selects LCD touching screen, for show object fatigue state to be measured, behavior it is visual
Change alert interface；Vibration module selects L298N pressure stabilizing driving circuit, the vibrating motor being sequentially connected, L298N pressure stabilizing driving circuit
IN1, IN2, IN3, IN4 connect GPIO.0, GPIO.1, GPIO.2, GPIO.3 mouth of raspberry pie respectively, driving motor is realized just
Turn and invert, realizes the vibration of driver's seat different frequency；Voice module selects SYN6288 voice playing module, defeated by audio
Outgoing interface, for playing alarm signal.
GPRS transmission module selects SIM800C module, and the ICP/IP protocol of built-in industrial standard is a compact dimensions
GSM/GPRS module, control processing module by USB RS 232 serial ports send AT command set to GPRS module, wait GPRS mould
Block is attached to after GPRS network, obtains cloud IP address, and cloud is made to establish connection, realizes the number of control processing module and cloud
According to sending and receiving.
Cloud can be used for checking history driver information for realizing the concentration of driver information, classification, storage.
The present invention is not limited to the above embodiments, on the basis of technical solution disclosed by the invention, the skill of this field
For art personnel according to disclosed technology contents, one can be made to some of which technical characteristic by not needing creative labor
A little replacements and deformation, these replacements and deformation are within the scope of the invention.
Claims (9)
1. a kind of vehicle carried driving person's fatigue detecting system based on raspberry pie, which is characterized in that including information acquisition module, control
Processing module, GPRS transmission module, warning module, cloud；
The information acquisition module is for acquiring driver information, comprising: heart rate, facial characteristics, behavior, brain electricity, location information,
Drive duration；
The control processing module, for receiving and processing information acquisition module data, processing is converted into every driver information,
And judge the fatigue state of user, driver information, fatigue state are then transmitted to warning module and GPRS transmission module；
The GPRS transmission module, treated for will control processing module every driver information, fatigue state are transmitted to
Cloud；
The warning module, for carrying out acousto-optic, vibration early warning according to the judging result of control processing module；
The cloud for realizing the concentration and mass data of computing resource classification, arrangement, storage.
2. vehicle carried driving person's fatigue detecting system according to claim 1 based on raspberry pie, which is characterized in that
The information acquisition module includes heart rate acquisition module, picture recognition module, brain wave acquisition module and Beidou positioning mould
Block；
Heart rate acquisition module, for acquiring the heart rate of user；
Picture recognition module, for acquiring facial characteristics and the behavior of user；
Brain wave acquisition module, for acquiring the EEG signals of user and then obtaining its focus；
Beidou positioning module, for acquiring the location information of user, driving duration.
3. vehicle carried driving person's fatigue detecting system according to claim 2 based on raspberry pie, which is characterized in that
The heart rate acquisition module is bracelet body-worn device, comprising:
Optics heart rate sensor is transmitted to DA14580 core for measuring the transmittance data in user's blood, and by the data
Piece；
DA14580 chip carries out modulus for pre-processing to transmittance data, and by the ADC module of the built-in chip type
Conversion, seeks the heart rate of user later, gives control processing module by " bluetooth " technology transfer；It is described pretreatment include filtering,
Except making an uproar；
The bluetooth module of DA14580 built-in chip type, for heart rate to be transmitted to control processing module；
Described image identification module is selected:
The image of acquisition is issued control processing by USB interface for acquiring facial characteristics and the behavior of user by camera
Module；
The brain wave acquisition module is wear-type device, comprising:
Forehead EEG pole, ear-clip electrodes, for acquiring the EEG signals of user and being transmitted to TGAM chip, the EEG signals packet
Include α wave, β wave, θ wave；
TGAM chip, for receiving EEG signals and carrying out preliminary treatment to it, and according to treated, EEG signals calculate use
Then the focus at family comes into control processing module by USB interface；Wherein, the preliminary treatment includes filtering, amplification, A/D
Conversion；
The Beidou positioning module is selected:
ATK-S1216F8-BD GPS/ Beidou module, for measuring the location information of user, driving duration, using UART mode
Output, the GPS/ Beidou location data of output use NMEA-0183 agreement, and control protocol is SkyTraq agreement, the data of output
Control processing module is given by GPIO oral instructions.
4. vehicle carried driving person's fatigue detecting system according to claim 1 based on raspberry pie, which is characterized in that the control
Processing module processed selects raspberry pie 3B+, and raspberry pie system is selected Raspbain stretch system, remotely connected by ssh, pacifies
The databases such as MySQL, WiringPi are filled, the design at interface is realized using QT, is programmed by QT and is read serial data, for connecing
Information acquisition module data are received and handle, processing is converted into every driver information, and judges the fatigue state of user, then will
Driver information, fatigue state are transmitted to warning module and GPRS transmission module.
5. vehicle carried driving person's fatigue detecting system according to claim 1 based on raspberry pie, which is characterized in that described pre-
Warning module includes:
Display module is used for real-time display items driver information, fatigue state, hazardous act；
Vibration module reminds user for realizing driver's seat vibration；
Voice module reminds user for playing alarm signal.
6. vehicle carried driving person's fatigue detecting system according to claim 5 based on raspberry pie, which is characterized in that described aobvious
Show that module includes LCD touch screen, is connect by the HDMI interface of LCD touching screen with the HDMI interface of control processing module, LCD touching
The Touch interface for touching screen is connect with the USB interface of control processing module, realizes display warning information and physiological parameter；
The vibration module includes L298N pressure stabilizing driving circuit, the vibrating motor being sequentially connected, and can be realized the vibration of different frequency
It is dynamic；
The voice module realizes audio alert by audio output interface, external SYN6288 voice playing module.
7. vehicle carried driving person's fatigue detecting system according to claim 5 based on raspberry pie, which is characterized in that described pre-
Alert module can carry out corresponding acousto-optic, vibration early warning, the concrete mode of work according to the fatigue state of user are as follows:
If the behavior of user is judged as dangerous driving behavior or fatigue state is judged as slight fatigue, severe fatigue, show
Show module flashing display current dangerous driving behavior or fatigue state as a result, vibration module works, so that driver's seat vibration, voice
Module plays alarm signal simultaneously, forewarning function is played, to remind user；
Wherein, for slight fatigue, the tired two kinds of fatigue states of severe, the frequency of vibration module work is higher than light when severe fatigue
The corresponding frequency of degree fatigue.
8. vehicle carried driving person's fatigue detecting system according to claim 7 based on raspberry pie, which is characterized in that described tired
The determination method of labor state are as follows:
Using logistic regression analysis model, according to the heart rate h of user, the number of winks e of facial characteristics i.e. one minute, behavior i.e. one
The number y that yawns of minute, brain electricity i.e. focus c, the optimized parameter determined after duration t and model training is driven, seek to be measured
The fatigue state value of object:
In formula, x is yawn the number y, brain of number of winks e by heart rate h, facial characteristics i.e. one minute, behavior i.e. one minute
Electricity is focus c, drives the matrix that duration t is formed,；θTFor the matrix after optimized parameter θ transposition；
According to fatigue state degree valueSize determine user fatigue state；Specifically:
If, then the fatigue state of object to be measured is severe fatigue；
If, then the fatigue state of object to be measured is slight fatigue；
If, then the fatigue state of object to be measured is awake；
Wherein,,。
9. vehicle carried driving person's fatigue detecting system according to claim 1 based on raspberry pie, which is characterized in that described
GPRS transmission module is selected:
SIM800C module is selected, is the GSM/GPRS module of a compact dimensions, control processing module passes through USB RS 232 string
Mouthful send AT command set to GPRS module, initialize GPRS module work, etc. GPRS modules be attached to after GPRS network, obtain
Cloud IP address makes cloud establish connection, realizes that the data in control processing module and cloud send and receive.
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