CN207875505U - A kind of driver fatigue monitor system based on Multi-source Information Fusion - Google Patents

A kind of driver fatigue monitor system based on Multi-source Information Fusion Download PDF

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CN207875505U
CN207875505U CN201820014296.6U CN201820014296U CN207875505U CN 207875505 U CN207875505 U CN 207875505U CN 201820014296 U CN201820014296 U CN 201820014296U CN 207875505 U CN207875505 U CN 207875505U
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steering wheel
driver
signal
data
acquisition module
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曹晓琳
王晓凡
陈虹旭
赵旭阳
王宇豪
张振浩
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Jilin University
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Jilin University
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Abstract

The utility model is related to a kind of driver fatigue monitor systems based on Multi-source Information Fusion, are made of direction indicators cover, information acquisition unit, data processing unit, prewarning unit, bracelet;Information acquisition unit is made of steering wheel angle signal acquisition module, steering wheel grip signal acquisition module, pulse signal acquisition module;Data processing unit processing module and Data Fusion module composition as at the beginning of data;Prewarning unit is made of music tip circuit, buzzer, LED warning lights and vibrating motor.Modules are concentrated on direction indicators cover by the utility model, save space, and improve driver comfort;Used sensor is little not with direct body contact or on driver behavior influence, improves the reliability of data acquisition.The utility model is based on information fusion technology, overcomes the limitation of single features detection fatigue, the fatigue state of driver is handled using information fusion technology, realizes much information complementation, improves the reliability of early warning system.

Description

A kind of driver fatigue monitor system based on Multi-source Information Fusion
Technical field
The utility model belongs to road safety technical field, and in particular to a kind of fatigue driving based on Multi-source Information Fusion Early warning system.
Background technology
The generation of traffic in recent years accident is further frequent, according to the statistics of the World Health Organization, in the original of human death and morbidity Because in, traffic accident ranked nineth position.And in many factors to result in an automobile accident, fatigue driving is one of the main cause that can not be ignored.The U.S. National Highway Traffic Safety Administration's conservative estimation, U.S.'s traffic accident caused by fatigue driving every year at least 100,000. China, with popularizing for private savings automobile, the traffic accident caused by fatigue driving is also in increasing, 20% or more traffic thing Therefore it is directly resulted in by fatigue driving.And in fact, the traffic accident caused by driving fatigue, which often exists, defines difficulty The problem of, therefore actually this numerical value will also be significantly larger than 20%.
Detection, the behavioural characteristic extraction of fatigue driving are the critical problems in fatigue driving research.Currently, both at home and abroad often The detection method of discrimination seen is mainly following three classes:The first kind is the detection method based on vehicle running state, passes through measurement The parameter, including speed, acceleration etc. of multiple reflection travel condition of vehicle judge the spiritual driving condition of driver;Second class is The detection method of physiology and psychological characteristics for driver is based primarily upon electroencephalogram (EEG), electrocardiogram (ECG) signal, face Feature etc..Third class is then the detection based on driver's driving behavior, by holding steering wheel pressure change, direction to driver To driver, whether fatigue etc. carries out effective evaluation for the processing of disk angular signal.
Due to the individual difference of driver and the influence of environment, the monitoring means of single physiology or behavioral indicator exists very Big limitation, the problems such as being susceptible to erroneous judgement and fail to judge.Therefore, there has been proposed be applied to drive by multi-sensor fusion technology Sail the Multi-source Information Fusion solution of fatigue monitoring.Multi-sensor fusion technology can improve the reliability of system and fault-tolerant energy Power, and system cost can be reduced, become the inexorable trend of fatigue driving detection.
But it is mostly single features fatigue detection device that can look into work at present, and Multi-source Information Fusion is generally in principle and tests Or solution proposes, the real fatigue driving early-warning device simple in structure, convenient to carry out based on Multi-source Information Fusion has no Report.
Invention content
The purpose of this utility model is that the deficiency that fatigue detection device is detected for above-mentioned existing single features, provides A kind of driver fatigue monitor system based on Multi-source Information Fusion, by the pulse signal and its of detection driver to steering wheel It turns to, grasp operational circumstances, on the basis of information fusion technology, based on control wheel set simple in structure, convenient to carry out, Realize the judgement and early warning of fatigue driving.
The basic principle of the utility model is as follows:
This early warning system acquires steering wheel angle and angular speed in real time by accelerometer, by the way that zero-speed percentage is calculated Than, four corner absolute mean, corner standard deviation, corner entropy driver's driving behavior parameters;It is passed by RFP602 pressure drag films Sensor acquires steering wheel grip signal as driver's driving behavior parameter in real time;Arteries and veins is obtained by YK1303P heart rate sensors It fights the physiological parameter of this driver of signal.Using multisource information fusion technology, in main control chip (Freescale MC9S12XS128MAA under control), by using the driving behavior of above-mentioned collected driver and physiological characteristic as foundation Real-time judge driver fatigue state simultaneously sends out early warning in the form of sound, vibration, flash of light.
The purpose of this utility model is achieved through the following technical solutions:
A kind of driver fatigue monitor system based on Multi-source Information Fusion, it is characterised in that:By direction indicators cover, information collection Unit, data processing unit, prewarning unit and bracelet are constituted;
The direction indicators cover from with steering wheel rim and the plastic housing with turnover panel 41, with plastic housing 1 be connected shell 3 And the soft cloth 7 being wrapped on plastic housing 1 is constituted;
Described information collecting unit is by steering wheel angle signal acquisition module, steering wheel grip signal acquisition module, pulse Signal acquisition module is constituted;Wherein, steering wheel angle acquisition module is by the inclinator six-axis accelerometer group that is fixed in shell 3 At;Steering wheel grip signal acquisition module is by being fixed on steering wheel both sides and the pressure between plastic housing 1 and soft cloth 7 being arranged Thin film sensor 2 is hindered to form;Pulse signal acquisition module is by the heart rate sensor 8 and bluetooth wireless devices 9 that are arranged in bracelet Composition;
The data processing unit is arranged in shell 3, processing module, Data Fusion module and PCB as at the beginning of data Wiring board is constituted;Just processing module carries out the gathered data of information acquisition unit after preliminary treatment by data fusion to the data Processing module merges above- mentioned information, obtains the degree of fatigue of driver;The heart rate sensor 8 leads to the pulse signal of acquisition It crosses bluetooth wireless devices 9 and signal is reached into PCB circuit board;
The prewarning unit is made of music tip circuit, buzzer, LED warning lights and vibrating motor 10, buzzer and LED warning lights are arranged in shell 3, and vibrating motor 10 is arranged on bracelet.
The turnover panel 4 is connected by hinge 5 with plastic housing 1, and shell 3 is connected by bolt 6 with turnover panel 4.
The shell 3 of the inclinator six-axis accelerometer and recess in steering wheel middle part is glued.
The pressure drag thin film sensor 2 is made of metal resistance strain gauge and elastic insulated liner, and elastic insulated liner It pastes on the steering wheel, metal resistance strain gauge is pasted onto on elastic insulated liner.
The heart rate sensor 8 is made of pulse inductor, analog-digital converter and processor, luminous two in pulse inductor The wavelength for the light that pole pipe is sent out obtains pulse signal with the change of beat pulse, and the pulse signal is converted into analog voltage The analog voltage signal is converted into digital signal by signal, analog-digital converter, is reached signal by bluetooth wireless devices 9 PCB circuit board.
The PCB circuit board is equipped with the music tip circuit and LED warning lights, receives inclinator six-axle acceleration Signal acquired in meter, pressure drag thin film sensor 2 and heart rate sensor 8 is simultaneously handled.
Compared with prior art, the beneficial effects of the utility model are:
Modules are concentrated on direction indicators cover by the utility model, save space, and improve driver comfort;It is adopted It is little not with direct body contact or on driver behavior influence with sensor, improve the reliability of data acquisition.This practicality is new Type is based on information fusion technology, overcomes the limitation of single features detection fatigue, and driver is handled using information fusion technology Fatigue state, realize much information complementation, improve the reliability of early warning system.
Description of the drawings
Fig. 1 is the structure diagram of the utility model early warning system;
Fig. 2 is algorithm control strategy block diagram;
The specific connection figure of Fig. 3 early warning systems;
Fig. 4 a are direction indicators cover structural schematic diagram (front elevation);
Fig. 4 b are direction indicators cover structural schematic diagram (reverse side figure);
Fig. 5 is the structural schematic diagram of bracelet.
In figure:1. 6. bolt of plastic housing 2. pressure drag thin film sensor, 3. shell, 4. turnover panel, 5. hinge 7., 8. heart rate of soft cloth 9. bluetooth wireless devices of sensor, 10. vibrating motor.
Specific implementation mode
Below in conjunction with drawings and examples, the utility model is described in further detail.
As shown in Figure 1, a kind of driver fatigue monitor system based on Multi-source Information Fusion, by direction indicators cover, information collection Unit, data processing unit, prewarning unit and bracelet are constituted.
Described information collecting unit includes steering wheel angle signal acquisition module, steering wheel grip signal acquisition module, arteries and veins It fights signal acquisition module, acquires steering wheel angle information, steering wheel grip information and the pulse physiological characteristic of driver respectively Information.
The direction indicators cover from with steering wheel rim and with reprint 4 hard POM plastic shell 1, be connected with plastic housing 1 Shell 3 and the soft cloth 7 that is wrapped on plastic housing 1 constitute.Plastic housing 1 is connect with the hinge 5 of turnover panel 4, and shell 3 passes through Bolt 6 is connected with turnover panel 4.
The utility model main control chip, accelerometer, pressure drag thin film sensor 2, heart rate sensor 8, bluetooth wireless devices 9, Fig. 3 is shown in the connection of vibrating motor 10, buzzer, PCB circuit board and LED warning lights.Algorithm control strategy block diagram such as Fig. 2 institutes Show.
Steering wheel angle acquisition module is made of the JY61 inclinator six-axis accelerometers being fixed in shell 3, is glued It is fixed on the shell 3 of recess in the middle part of designed steering wheel, collects angular signal, is used for the data processing of next step.
As shown in figure 4, steering wheel grip signal acquisition module by be fixed on steering wheel both sides and setting plastic housing 1 with it is soft RFP602 pressure drags thin film sensor 2 between soft cloth material 7 forms.Pressure drag thin film sensor 2 is affixed on steering wheel both sides, including metal Resistance strain gage, elastic insulated liner.When driver holds steering wheel (set), metal resistance strain gauge is in elastic insulated liner On deform upon, to detect driver hold steering wheel grip value, be used for next step data processing.
Pulse signal acquisition module is made of heart rate sensor 8 and bluetooth wireless devices 9.Driver is by wearing wristband type universal serial Heart rate sensor obtains pulse signal, is used for the data processing of next step.
As shown in figure 5, the heart rate sensor 8 is made of pulse inductor, analog-digital converter, processor.Pass through electrocardio The wavelength for the light that light emitting diode is sent out in pulse inductor obtains pulse signal with the change of beat pulse, and by the pulse Signal is converted into analog voltage signal, and the analog voltage signal is converted into digital signal by analog-digital converter, by bluetooth without Signal is reached PCB circuit board by line apparatus 9, and when early warning is sent out, receiving pre-warning signal by bluetooth wireless devices 9 keeps vibration electric Machine 10 works, and realizes vibrating alert.
The data processing unit processing module, Data Fusion module and PCB circuit board at the beginning of data are constituted, data First processing module is used for blending algorithm, Data Fusion module after information acquisition unit institute gathered data is carried out preliminary treatment Above- mentioned information is merged, obtains the degree of fatigue of driver.
PCB circuit board is located at accelerometer in the middle part of steering wheel in the shell 3 of recess, this shell 3 is connected by screw bolts Itself and turnover panel 4 are connected.Shell 3 is fixed in PCB circuit board splicing, is received signal acquired in each sensor and is handled, Upper to carry LED warning lights and music tip circuit, when early warning is sent out, LED warning lights send out light by the through-hole on turnover panel It realizes and reminds.Signal is reached PCB circuit board by the pulse signal of acquisition by the heart rate sensor 8 by bluetooth wireless devices 9.
The prewarning unit includes above-mentioned music tip circuit, buzzer and LED warning lights and vibrating motor 10, according to The different fatigue degree of driver is carried using the music reminding and light flash of different alerting patterns such as different type or volume It wakes up and vibrating alert is alarmed.Wherein buzzer and LED warning lights are arranged in shell 3, and vibrating motor 10 is arranged in hand On ring.
The utility model is described only in conjunction with preferred embodiments of the present invention above, people in the art Member can carry out various modifications it is to be appreciated that without departing substantially from the spirit and scope of the utility model to the utility model And modification.

Claims (6)

1. a kind of driver fatigue monitor system based on Multi-source Information Fusion, it is characterised in that:By direction indicators cover, information collection list Member, data processing unit, prewarning unit and bracelet are constituted;
The direction indicators cover from with steering wheel rim and the plastic housing with turnover panel (4) (1), be connected with plastic housing (1) it is outer Shell (3) and the soft cloth (7) being wrapped on plastic housing (1) are constituted;
Described information collecting unit is by steering wheel angle signal acquisition module, steering wheel grip signal acquisition module, pulse signal Acquisition module is constituted;Wherein, steering wheel angle acquisition module is by the inclinator six-axis accelerometer group that is fixed in shell (3) At;Steering wheel grip signal acquisition module is by being fixed on steering wheel both sides and setting between plastic housing (1) and softness cloth (7) Pressure drag thin film sensor (2) composition;Pulse signal acquisition module by the heart rate sensor (8) that is arranged in bracelet and bluetooth without Line apparatus (9) forms;
The data processing unit setting is in shell (3), processing module, Data Fusion module and PCB lines as at the beginning of data Road plate is constituted;Just processing module carries out the gathered data of information acquisition unit after preliminary treatment by Data Fusion mould to data Block merges above- mentioned information, obtains the degree of fatigue of driver;The pulse signal of acquisition is passed through indigo plant by the heart rate sensor (8) Signal is reached PCB circuit board by tooth wireless device (9);
The prewarning unit is made of music tip circuit, buzzer, LED warning lights and vibrating motor (10), wherein buzzer With the setting of LED warning lights in shell (3), vibrating motor (10) is arranged on bracelet.
2. a kind of driver fatigue monitor system based on Multi-source Information Fusion according to claim 1, it is characterised in that:Institute It states turnover panel (4) by hinge (5) to be connected with plastic housing (1), shell (3) is connected by bolt (6) with turnover panel (4).
3. a kind of driver fatigue monitor system based on Multi-source Information Fusion according to claim 1, it is characterised in that:Institute It states inclinator six-axis accelerometer and the shell (3) of recess in steering wheel middle part is glued.
4. a kind of driver fatigue monitor system based on Multi-source Information Fusion according to claim 1, it is characterised in that:Institute It states pressure drag thin film sensor (2) to be made of metal resistance strain gauge and elastic insulated liner, and the elastic insulated liner side of being pasted onto To on disk, metal resistance strain gauge is pasted onto on elastic insulated liner.
5. a kind of driver fatigue monitor system based on Multi-source Information Fusion according to claim 1, it is characterised in that:Institute It states heart rate sensor (8) to be made of pulse inductor, analog-digital converter and processor, light emitting diode is sent out in pulse inductor The wavelength of light obtain pulse signal with the change of beat pulse, and the pulse signal is converted into analog voltage signal, mould The analog voltage signal is converted into digital signal by number converter, and signal is reached PCB circuits by bluetooth wireless devices (9) Plate.
6. a kind of driver fatigue monitor system based on Multi-source Information Fusion according to claim 1, it is characterised in that:Institute It states PCB circuit board and is equipped with the music tip circuit and LED warning lights, it is thin to receive inclinator six-axis accelerometer, pressure drag Signal acquired in film sensors (2) and heart rate sensor (8) is simultaneously handled.
CN201820014296.6U 2018-01-05 2018-01-05 A kind of driver fatigue monitor system based on Multi-source Information Fusion Active CN207875505U (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108146344A (en) * 2018-01-05 2018-06-12 吉林大学 A kind of driver fatigue monitor system based on Multi-source Information Fusion
CN109664894A (en) * 2018-12-03 2019-04-23 盐城工学院 Fatigue driving safety pre-warning system based on multi-source heterogeneous data perception
CN113012394A (en) * 2021-03-17 2021-06-22 合肥工业大学 Fatigue driving early warning system and method integrating heart rate and steering wheel action characteristics

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108146344A (en) * 2018-01-05 2018-06-12 吉林大学 A kind of driver fatigue monitor system based on Multi-source Information Fusion
CN109664894A (en) * 2018-12-03 2019-04-23 盐城工学院 Fatigue driving safety pre-warning system based on multi-source heterogeneous data perception
CN113012394A (en) * 2021-03-17 2021-06-22 合肥工业大学 Fatigue driving early warning system and method integrating heart rate and steering wheel action characteristics

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