CN208842326U - A kind of fatigue driving state identification early warning system - Google Patents
A kind of fatigue driving state identification early warning system Download PDFInfo
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- CN208842326U CN208842326U CN201820381138.4U CN201820381138U CN208842326U CN 208842326 U CN208842326 U CN 208842326U CN 201820381138 U CN201820381138 U CN 201820381138U CN 208842326 U CN208842326 U CN 208842326U
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Abstract
The utility model discloses a kind of fatigue driving states to identify early warning system, including central processing unit, vehicle status sensor, loudspeaker, Intelligent bracelet, intelligent glasses, display；The vehicle status sensor, loudspeaker, display pass through cable and are connected with central processing unit, the central processing unit is used for according to driver vehicle's operating parameter, physiological signal and the eye movement characteristics of collection, obtain driver currently whether processing information in a state of fatigue；The vehicle status sensor, Intelligent bracelet, intelligent glasses are used to send the information of acquisition to central processing unit；The loudspeaker, display are for broadcasting and showing real time information.The utility model carries out detection identification by the fatigue state to driver, and Real-time Feedback degree of fatigue, so that driver takes timely measure, to provide scientific and reasonable early warning for driver, the traffic accident caused by fatigue driving is reduced, driver is improved and travels reliability.
Description
Technical field
The utility model relates to road vehicle operational safety, and in particular to a kind of fatigue driving state identification early warning system,
The current fatigue driving state of driver can effectively be identified, and then to the driver's carry out section for being in dangerous driving state
Reasonable warning in advance is learned, thus the traffic accident that prevention is caused by fatigue.
Background technique
In recent years, continuing to increase with China's vehicles number, traffic accident rate rapidly increase, road traffic
Safety problem is increasingly becoming one of focus concerned by people.The reason of analysis causes road traffic accident discovery, certainly by driver
One of the main reason for accident caused by body factor accounts for 85% or more, and wherein fatigue driving is driver's accident.
Driving fatigue directly causes that driving behavior is improper, and dispersion attention is not concentrated, furious driving and improper measures
Deng, more and more life securities for threatening people, but fatigue driving is difficult to quantify to be measured in real time due to its concealment.
Currently, control of traffic and road departments at different levels, China carry out passenger stock from the market access, practitioner's qualification, transport enterprise etc.
Strict control, pre-event management more standardize, and also clear stipulaties vehicle driving people must not continuously drive more than 4 traffic law
Hour.Although national traffic control department has formulated corresponding laws and regulations, driver would generally wrap because of various factor
It includes and pursues high interests return etc., the regulation of driving time limitation cannot be abided by.Therefore, it is objective and accurate to carry out to driving fatigue
Determine, in driver long-duration driving fatigue, driving procedure dispersion attention problem research, and obtain driver fatigue journey
The integrated early warning technology research of degree, is the key that reduce one of the pernicious road transport accident to take place frequently.
With car networking technology and information collection, the continuous development of the information processing technology, obtain vehicle operating parameters with
And physiological signal, eye movement index of driver etc. become to be more easier.Therefore, the utility model obtain vehicle operating parameters,
On the basis of physiological driver's signal and eye movement index, driver tired driving state determine and early warning, guarantee are driven a vehicle
Safety.
Utility model content
In order to solve the problems, such as to take place frequently since fatigue driving causes traffic accident, the utility model proposes a kind of fatigue drivings
State recognition early warning system.
The utility model is achieved through the following technical solutions:
A kind of fatigue driving state identification early warning system, including central processing unit, the vehicle for acquiring vehicle operating parameters
State sensor, loudspeaker, Intelligent bracelet, intelligent glasses, display；
The vehicle status sensor, loudspeaker, display pass through cable and are connected with central processing unit, the intelligence hand
Ring, intelligent glasses are wirelessly connected by wireless signal transmitter and central processing unit；
The Intelligent bracelet and intelligent glasses include message handler and wireless signal transmitter, the physiology for will acquire
Signal and eye movement characteristics send central processing unit to by wireless signal transmitter；
The central processing unit is used to be driven according to the vehicle operating parameters of collection, physiological signal and eye movement characteristics
Member it is current whether processing information in a state of fatigue；
The loudspeaker, display are used to show the processing information of central processing unit by audio casting and video.
Further, the central processing unit includes information collection module, message processing module and information transmitting module,
The information collection module is for collecting vehicle operating parameters, physiological signal and eye movement characteristics；The message processing module is used for
Obtain the processing information whether driver is in fatigue driving state；The information transmitting module is used to send out the processing information
It send to loudspeaker and display.
Further, the vehicle operating parameters include Vehicle Speed, vehicle driving acceleration, lane shift
Amount, lane-change information etc..
Further, the physiological signal includes electrocardiosignal, EEG signals, and the eye movement characteristics include blink frequency
Rate, duration of fixation, pupil diameter coefficient of variation etc..
Further, the central processing unit uses TMS320C6748 processor.
Further, the vehicle status sensor uses grating sensor.
Further, the display uses liquid crystal display.
Further, the central processing unit, vehicle status sensor, loudspeaker, display are installed in automotive interior,
Intelligent bracelet, intelligent glasses are worn on driver.
Compared with prior art, the utility model is include at least the following beneficial effects:
(1) the utility model proposes fatigue driving state early warning systems, by driving under fatigue driving state
The person of sailing carries out scientific and reasonable warning in advance, encourages driver to take measures to eliminate fatigue, to avoid tired accident from providing
Technical support has realistic meaning to reducing traffic safety accident, improving road safety level.
(2) previous utility model majority is to carry out identification early warning to fatigue driving state using single index, this is practical
Novel integrated considers driver vehicle's operating parameter, physiological signal and eye movement characteristics, avoids using certain class recognition methods not
Foot, improves the real-time and reliability of result, can effectively make up the defect of current safe early warning.
(3) system structure is simple, and facility used is fewer, can largely save construction cost, and operability
With it is practical, can comparatively fast spread in road safety, further be provided more for road traffic department preventing fatigue driving
The reference of horn of plenty.
Detailed description of the invention
Fig. 1 is the fatigue driving state identification early warning system structural schematic diagram of the utility model embodiment.
Fig. 2 is the data flowchart of the fatigue driving state identification early warning system of the utility model embodiment.
In figure: 1- central processing unit；2- vehicle status sensor；3- loudspeaker；4- Intelligent bracelet；5- intelligent glasses；6-
Display.
Specific embodiment
Below with reference to examples and drawings, the utility model is described in further detail, but the reality of the utility model
It is without being limited thereto to apply mode.
Embodiment
As shown in Figure 1 and Figure 2, a kind of fatigue driving state identifies that early warning system, including central processing unit 1, vehicle-state pass
Sensor 2, loudspeaker 3, Intelligent bracelet 4, intelligent glasses 5, display 6,
The vehicle status sensor 2, loudspeaker 3, display 6 are connected by cable with central processing unit 1,
The central processing unit 1 uses TMS320C6748 processor, for the vehicle operating parameters and driving according to collection
Member physiological signal, eye movement characteristics, obtain driver currently whether processing information in a state of fatigue；
The vehicle status sensor 2 uses grating sensor, for acquiring vehicle operating parameters；
The loudspeaker 3, display 6 are used to broadcast the processing information of central processing unit 1 by audio and video is shown
Show, specifically such as: loudspeaker 3 is for broadcasting the warning message that driver is currently at fatigue driving；The display 6 uses liquid crystal
Display screen, for showing real-time collected indices data；
The Intelligent bracelet 4, intelligent glasses 5 include message handler and wireless signal transmitter, are driven for what will be acquired
The person's of sailing information sends central processing unit 1 to by wireless signal transmitter, and the Intelligent bracelet 4 can adopt common on the market at present
Intelligent bracelet, such as: Fitbit Charge HR, millet bracelet, 37 degree of bracelets etc.；The intelligent glasses 5 include common
: EyeLink II wear-type eye tracker, the contactless eye tracker of Smart Eye Pro5.7 and Google glass(Google eye
Mirror) etc..
Specifically, the central processing unit 1 includes that information collection module, message processing module and information emit mould
Block, the information collection module is for collecting vehicle operating parameters, physiological driver's signal and eye movement characteristics；The information processing
Module is for obtaining the processing information whether driver is in fatigue driving state；The information transmitting module is used for the place
Reason information is sent to loudspeaker 3 and display 6.
Specifically, the physiological signal includes electrocardiosignal, EEG signals, the eye movement characteristics include blink frequency
Rate, duration of fixation, pupil diameter coefficient of variation etc., the vehicle operating parameters include Vehicle Speed, vehicle row
Sail acceleration, lane offset, lane-change information etc..
Specifically, the central processing unit 1, vehicle status sensor 2, loudspeaker 3, display 6 are installed in automobile
Inside, Intelligent bracelet 4, intelligent glasses 5 are worn on driver.
The utility model passes through the fatigue state that is worn over Intelligent bracelet 4 with driver, intelligent glasses 5 are worn to driver
It is detected and is identified, and Real-time Feedback degree of fatigue, so that driver takes timely measure, to provide science for driver
Reasonable early warning reduces the traffic accident caused by fatigue driving, improves driver and travels reliability, at this point, driver Ke Gen
It takes appropriate measures according to the audio and video information received, such as reduces speed, scientific arrangement journey time, passes through auxiliary
Means adjust driving condition etc., avoid vehicle driving from occurring dangerous.
Above-described embodiment is the preferable embodiment of the utility model, but the embodiments of the present invention is not by described
The limitation of embodiment, it is made under other any spiritual essence and principles without departing from the utility model to change, modify, replacing
In generation, simplifies combination, should be equivalent substitute mode, is included within the protection scope of the utility model.
Claims (8)
1. a kind of fatigue driving state identifies early warning system, it is characterised in that: including central processing unit (1), for acquiring vehicle
Vehicle status sensor (2), loudspeaker (3), Intelligent bracelet (4), intelligent glasses (5), the display (6) of operating parameter；
The vehicle status sensor (2), loudspeaker (3), display (6) are connected by cable with central processing unit (1), institute
State Intelligent bracelet (4), intelligent glasses (5) are wirelessly connected by wireless signal transmitter and central processing unit (1)；
The Intelligent bracelet (4) and intelligent glasses (5) include message handler and wireless signal transmitter, the life for will acquire
It manages signal and eye movement characteristics and central processing unit (1) is sent to by wireless signal transmitter；
The central processing unit (1) is used to obtain driver according to the vehicle operating parameters of collection, physiological signal and eye movement characteristics
It is current whether processing information in a state of fatigue；
The loudspeaker (3), display (6) are used to pass through audio casting and video to the processing information of central processing unit (1)
Display.
2. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the central processing
Device (1) includes information collection module, message processing module and information transmitting module, and the information collection module drives for collecting
Vehicle operating parameters, physiological signal and the eye movement characteristics of member；The message processing module for being calculated in real time data and
Processing, obtains driver's processing information whether in a state of fatigue；The information transmitting module is used for the processing information
It is sent to loudspeaker (3) and display (6).
3. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the vehicle operation
Parameter includes Vehicle Speed, vehicle driving acceleration, lane offset, lane-change information.
4. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the physiological signal
Including electrocardiosignal, EEG signals, the eye movement characteristics include frequency of wink, duration of fixation, pupil diameter variation lines
Number.
5. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the central processing unit
(1) TMS320C6748 processor is used.
6. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the vehicle-state passes
Sensor (2) uses grating sensor.
7. fatigue driving state according to claim 1 identifies early warning system, which is characterized in that the display (6)
Using liquid crystal display.
8. fatigue driving state according to claim 1 identifies early warning system, it is characterised in that: the central processing unit
(1), vehicle status sensor (2), loudspeaker (3), display (6) are installed in automotive interior, the Intelligent bracelet (4), intelligence
Energy glasses (5) are worn on driver.
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| CN201820381138.4U CN208842326U (en) | 2018-03-21 | 2018-03-21 | A kind of fatigue driving state identification early warning system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108312964A (en) * | 2018-03-21 | 2018-07-24 | 华南理工大学 | A kind of fatigue driving state identification early warning system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108312964A (en) * | 2018-03-21 | 2018-07-24 | 华南理工大学 | A kind of fatigue driving state identification early warning system and method |
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