CN105172794B - Driver's state recognition system based on steering wheel detection - Google Patents
Driver's state recognition system based on steering wheel detection Download PDFInfo
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- CN105172794B CN105172794B CN201510535814.XA CN201510535814A CN105172794B CN 105172794 B CN105172794 B CN 105172794B CN 201510535814 A CN201510535814 A CN 201510535814A CN 105172794 B CN105172794 B CN 105172794B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2510/00—Input parameters relating to a particular sub-units
- B60W2510/20—Steering systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/18—Steering angle
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/26—Incapacity
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Abstract
The present invention relates to a kind of driver status identifying system based on steering wheel detection, including recent movement sensor, brain wave detects the helmet, wireless communication interface and Freescale IMX6 processors, recent movement sensor is used to detect the motion state of vehicle steering, the brain wave detection helmet is used to detect the brain wave feature of driver, IMX6 processors and recent movement sensor, brain wave detects that the helmet and wireless communication interface are connected respectively, determine whether to start the detection operation of the brain wave detection helmet based on motion state, and after detection operation is started, the current driving condition of driver is determined according to the analysis result to brain wave feature, current driving condition is sent to wireless communication interface.By means of the invention it is possible on to the judgement basis of the motion state of vehicle steering, start the analysis to driver status, so as to while detection efficiency is ensured, reduce unnecessary system power dissipation.
Description
The present invention is the Application No. 201510180963.9, applying date on April 16th, 2015, entitled " is based on
The divisional application of the patent of driver's state recognition system of steering wheel detection ".
Technical field
The present invention relates to detection of electrons field, more particularly to a kind of driver's state recognition based on steering wheel detection
System.
Background technology
Due to the increase of automobile quantity, the generation of traffic accident is also presented increasing trend, wherein, driver fatigue
Driving is a principal element.The reason for driver fatigue, there is various, for example, drink excessive alcohol, and day before yesterday sleep insufficiency listens music
Or broadcast excessively input etc., cause driver to be sometimes the fatigue state of itself that cannot test oneself, it is then desired to the side of detection of electrons
Formula helps driver and corresponding management department to find that the behavior of fatigue driving occurs in time, in order to stop immediately, changes in addition
Driver continue travel.
There is following defect in driver status detection of electrons scheme of the prior art：(1) under no matter taking which kind of mechanism
Detection of electrons, the state-detection of driver all whole process is carried out, for each electronic unit that detection scheme is used
For, its power consumption is huge, and for the permanent driver in waking state, most of power consumption is unnecessary
's；(2) because some detection of electrons means need to be arranged on some auxiliary equipments with driver, if laid for a long time, meeting
Cause driver's action not smooth, reduce the traveling enjoyment of driver.
It is then desired to a kind of new driver status detection of electrons scheme, only in driver there may be frazzle
In the case of, the detection of electrons of ability starting state, and in other cases, the detection of electrons of halted state, so as to ensure to examine
While surveying effect, the power consumption of system and the burden of driver are reduced.
The content of the invention
In order to solve the above problems, the invention provides a kind of driver status identifying system based on steering wheel detection,
The motion state of vehicle steering is detected using recent movement sensor, more than scheduled time threshold value is tactile with vehicle steering
Clockwork spring part, starts the detection of driver status, so, solves above-mentioned technical problem, while high-precision brain wave detection skill
Art ensure that the Detection results of condition detecting system of the invention.
According to an aspect of the present invention, there is provided a kind of driver status identifying system based on steering wheel detection, it is described
Identifying system includes recent movement sensor, the brain wave detection helmet, wireless communication interface and Freescale IMX6 processors,
The recent movement sensor is used to detect the motion state of vehicle steering, and the brain wave detection helmet is driven for detection
The brain wave feature of the person of sailing, the Freescale IMX6 processors are detected with the recent movement sensor, the brain wave
The helmet and the wireless communication interface are connected respectively, determine whether to start the brain wave detection helmet based on the motion state
Detection operation, and start it is described detection operation after, determine driver's according to the analysis result to the brain wave feature
Current driving condition, the wireless communication interface is sent to by current driving condition.
More specifically, in the driver status identifying system based on steering wheel detection, also including：User input sets
It is standby, for the operation according to user, receive quiescent time threshold value, the first detecting factor threshold value and second detection of user input because
Sub- threshold value, the first detecting factor threshold value is more than the second detecting factor threshold value；SDRAM, connects the user input and sets
It is standby, for receiving and store the quiescent time threshold value, the first detecting factor threshold value and the second detecting factor threshold value；
High-definition camera, including cmos sensor and secondary light source, the cmos sensor are shot to obtain to driver's face
Face-image, the secondary light source for the shooting of the cmos sensor provide illumination fill-in light, the illumination fill-in light it is strong
Degree is inversely proportional with the light luminance of the secondary light source surrounding environment, and the resolution ratio of the face-image is 1280 × 720；Power supply
Equipment, including solar powered device, battery, switching switch and electric pressure converter, the switching switch and the solar energy
Power supply device and the battery are connected respectively, are decided whether to be switched to the solar energy electric supplier according to battery dump energy
Part is powered with by the solar powered device, and the electric pressure converter is connected with the switching switch, will be opened by switching
The 5V voltage conversions for closing input are 3.3V voltages；The wireless communication interface and the Freescale IMX6 processors and the height
Clear camera is connected respectively, including：Image recombiner unit, with the Freescale IMX6 processors and the high-definition camera point
Do not connect, for will with sleep state signals, frazzle signal or waking state signal it is corresponding remind word be compound to institute
State on face-image to form combination picture；Image compression unit, is connected, for based on MPEG-4 with described image recombiner unit
Compression standard carries out compression of images to the combination picture to obtain compression combined image；Wireless transmit/receive units, with described image
Compression unit is connected, where the compression combined image wireless is sent into driver unit one belongs to LAN and driver
The mobile terminal of head of the unit；The recent movement sensor connects vehicle steering, for detecting vehicle steering
Quiescent duration；The brain wave detection helmet includes：Earth electrode, is positioned over the head front portion midpoint of driver, for arranging
Except interference；Reference electrode, the electrode as driver's body with respect to zero-potential point is positioned over driver's using the vertical connection of ears
On ear-lobe；Active electrode, is positioned on the scalp of driver；Signal receiving unit, with the earth electrode, the reference electrode
Connected respectively with the active electrode, the signal that the active electrode is received is subtracted into the signal that the reference electrode is received
Exported as eeg signal, the sample frequency of the eeg signal is 256Hz；Microcontroller, receives with the signal
Unit is connected, and α ripples therein, β ripples and θ ripples are parsed from the eeg signal, and the frequency range of the α ripples is 8-
14Hz, the frequency range of the β ripples is 14-30Hz, and the frequency range of the θ ripples is 4-8Hz, and power is calculated respectively to obtain α
Wave power, β wave powers and θ wave powers, divided by the acquisition of β wave powers except value as brain electricity after α wave powers are added with θ wave powers
Wavy state detecting factor；The Freescale IMX6 processors and the SDRAM, the brain wave detection helmet and the direction
Disk motion sensor is connected respectively, when the quiescent duration for receiving is more than or equal to the quiescent time threshold value, into shape
State detection pattern, when the quiescent duration for receiving is less than the quiescent time threshold value, exits state-detection pattern；Its
In, the Freescale IMX6 processors in state-detection pattern, when the brain wave state-detection factor is more than or equal to described the
During one detecting factor threshold value, sleep state signals are exported, when the brain wave state-detection factor is less than the first detecting factor threshold
Value but during more than or equal to the second detecting factor threshold value, exports tired status signal, when the brain wave state-detection factor is less than
During the second detecting factor threshold value, waking state signal is exported.
More specifically, in the driver status identifying system based on steering wheel detection：The user input equipment
It is touch-screen or input keyboard.
More specifically, in the driver status identifying system based on steering wheel detection, also including：Display device,
It is connected with the Freescale IMX6 processors, for display in real time and the sleep state signals, the tired status signal
Or the corresponding prompting word of the waking state signal.
More specifically, in the driver status identifying system based on steering wheel detection：The display device is liquid
Crystal display screen, the user input equipment is the touch-screen integrated with the LCDs.
More specifically, in the driver status identifying system based on steering wheel detection：The display device also with
The recent movement sensor connection, with the quiescent duration of real-time display automobile steering wheel.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the structure of the driver status identifying system based on steering wheel detection according to embodiment of the present invention
Block diagram.
Fig. 2 is the wireless of the driver status identifying system based on steering wheel detection according to embodiment of the present invention
The block diagram of communication interface.
Specific embodiment
Below with reference to accompanying drawings to the embodiment of the driver status identifying system based on steering wheel detection of the invention
It is described in detail.
Currently, in the every country in the world, the owning amount of automobile is all a huge numeral, due to autonomous driving vehicle
Not yet popularize, automobile is still mainly driven using manual type, at this moment, if driver's excessively fatigue, without knowing, is still carried out
Driving task, will easily cause traffic accident, bring the actual bodily harm for being difficult to bear with itself to other people, while being also possible to make
Into huge economic loss.
In order to avoid driver tired driving, the vehicle supervision department of various countries all employs some penalty mechanisms and fatigue is driven
The driver for sailing punished, may have various, example however, in fact, driver is in driving procedure, the reason for cause tired out
Such as day before yesterday sleep insufficiency, or listen music fascinated, or even think that thing is superb etc., driver is not know about the tired shape of itself sometimes
State, thus, depend penalty mechanism alone and driver's self-examination e insufficient to the generation that avoids traffic accident, in addition it is also necessary to some electronics
Detection means, carries out active detecting in the way of instrument.
Driver status detection of electrons scheme of the prior art is all the detection of electrons of all the period of time, it is impossible to suit measures to local conditions to open
The detection of dynamic or closed mode, it is huge to be easily caused system power consumption, and drives whole process to driver and bring driving to bear.
In order to overcome above-mentioned deficiency, the present invention to build a kind of driver status identifying system based on steering wheel detection,
Motion state with steering wheel is as trigger condition, it is to avoid the whole process of detection of electrons is carried out, and largely reduces system power dissipation
With the immoderation of driver.
Fig. 1 is the structure of the driver status identifying system based on steering wheel detection according to embodiment of the present invention
Block diagram, the identifying system includes recent movement sensor 1, the brain wave detection helmet 2, wireless communication interface 3 and flies to think
Karr IMX6 processors 4, the recent movement sensor 1 is used to detect the motion state of vehicle steering, the brain wave
The detection helmet 2 is used to detect the brain wave feature of driver, and the Freescale IMX6 processors 4 are passed with the recent movement
Sensor 1, the brain wave detection helmet 2 and the wireless communication interface 3 are connected respectively, are determined whether based on the motion state
Start the detection operation of the brain wave detection helmet 2, and after the detection operation is started, according to the brain wave feature
Analysis result determine the current driving condition of driver, current driving condition is sent to the wireless communication interface 3.
Then, continue that the concrete structure of the driver status identifying system based on steering wheel detection of the invention is entered to advance
The explanation of one step.
The identifying system also includes：User input equipment, for the operation according to user, receives the static of user input
Time threshold, the first detecting factor threshold value and the second detecting factor threshold value, the first detecting factor threshold value are more than described second
Detecting factor threshold value.
The identifying system also includes：SDRAM, connects the user input equipment, for receiving and stores described static
Time threshold, the first detecting factor threshold value and the second detecting factor threshold value.
The identifying system also includes：High-definition camera, including cmos sensor and secondary light source, the cmos sensor
Driver's face is shot to obtain face-image, the secondary light source provides illumination for the shooting of the cmos sensor
Fill-in light, the intensity of the illumination fill-in light is inversely proportional with the light luminance of the secondary light source surrounding environment, the face figure
The resolution ratio of picture is 1280 × 720.
The identifying system also includes：Power supply unit, including solar powered device, battery, switching switch and voltage
Converter, the switching switch is connected respectively with the solar powered device and the battery, according to the remaining electricity of battery
Amount decide whether that be switched to the solar powered device powers with by the solar powered device, the electric pressure converter with
The switching switch connection, that will be 3.3V voltages by switching the 5V voltage conversions of switch input.
As shown in Fig. 2 the wireless communication interface 3 and the Freescale IMX6 processors 4 and the high-definition camera
Connect respectively, including with lower component：
Image recombiner unit 31, is connected respectively with the Freescale IMX6 processors 4 and the high-definition camera, is used for
Will with sleep state signals, frazzle signal or waking state signal it is corresponding remind word be compound on the face-image
To form combination picture；
Image compression unit 32, is connected with described image recombiner unit 31, for based on MPEG-4 compression standards to described
Combination picture carries out compression of images to obtain compression combined image；
Wireless transmit/receive units 33, are connected with described image compression unit 32, for the compression combined image wireless to be sent out
It is sent to the mobile terminal of driver unit one belongs to LAN and driver unit one belongs to director.
The recent movement sensor 1 connects vehicle steering, the quiescent duration for detecting vehicle steering.
The brain wave detection helmet 2 is included with lower component：
Earth electrode, is positioned over the head front portion midpoint of driver, for exclusive PCR；
Reference electrode, the electrode as driver's body with respect to zero-potential point is positioned over driver using the vertical connection of ears
Ear-lobe on；
Active electrode, is positioned on the scalp of driver；
Signal receiving unit, is connected respectively with the earth electrode, the reference electrode and the active electrode, will be described
The signal that active electrode is received subtracts the signal that the reference electrode receives and is exported as eeg signal, the brain electricity
The sample frequency of ripple signal is 256Hz；
Microcontroller, is connected with the signal receiving unit, and α ripples therein, β ripples are parsed from the eeg signal
With θ ripples, the frequency range of the α ripples is 8-14Hz, and the frequency range of the β ripples is 14-30Hz, the frequency range of the θ ripples
It is 4-8Hz, power is calculated respectively to obtain α wave powers, β wave powers and θ wave powers, is removed after α wave powers are added with θ wave powers
Using the acquisition of β wave powers except value as the brain wave state-detection factor.
The Freescale IMX6 processors 4 are transported with the SDRAM, the brain wave detection helmet 2 and the steering wheel
Dynamic sensor 1 is connected respectively, when the quiescent duration for receiving is more than or equal to the quiescent time threshold value, into state inspection
Survey pattern, when the quiescent duration for receiving is less than the quiescent time threshold value, exits state-detection pattern.
Wherein, the Freescale IMX6 processors 4 are in state-detection pattern, when the brain wave state-detection factor is more than
During equal to the first detecting factor threshold value, sleep state signals are exported, when the brain wave state-detection factor is less than described first
Detecting factor threshold value but during more than or equal to the second detecting factor threshold value, exports tired status signal, when the inspection of brain wave state
When surveying the factor less than the second detecting factor threshold value, waking state signal is exported.
Alternatively, in the identifying system：The user input equipment is touch-screen or input keyboard；Shown identification system
System also includes：Display device, is connected with the Freescale IMX6 processors 4, believes for display in real time and the sleep state
Number, the tired status signal or the corresponding prompting word of the waking state signal；The display device is LCDs,
The user input equipment is the touch-screen integrated with the LCDs；And the display device also with it is described
Recent movement sensor 1 is connected, with the quiescent duration of real-time display automobile steering wheel.
In addition, field programmable gate array (FPGA) is programming device, with conventional logic circuit and gate array (such as PAL,
GAL and CPLD devices) compare, FPGA has different structures.FPGA realizes combination using small-sized look-up table (16 × 1RAM)
Logic, each look-up table is connected to an input for d type flip flop, and trigger drives other logic circuits or drives I/O again,
Thus constitute the basic logic unit module that can not only realize combination logic function but also sequential logic function can be realized, these modules
Between interconnected using metal connecting line or be connected to I/O modules.
Early in 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA include some relatively large numbers
The Programmadle logic unit of amount.The density of CPLD gates is between thousands of to tens of thousands of logic units, and FPGA is typically
It is tens of thousands of to millions of.The main distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restricted structure.
This structure is by the logical groups row of one or more editable result sum and the register of the locking of some relatively small amounts
Composition.Such result is a lack of editing flexibility, but but have it is anticipated that time delay and logic unit it is single to connection
The advantage of first height ratio.And FPGA is that have many connection units, although so allowing him can more flexibly to edit,
Structure is complicated more.CPLD and FPGA another difference is that most FPGA contains high-level built-in module (such as
Adder and multiplier) and built-in memory body.Therefore a relevant important difference is that many new FPGA support complete
Or reconfigured in partial system.Allow their design as system upgrade or dynamic are reconfigured and change.One
A little FPGA can allow a part for equipment to update and other parts continue normally to run.
FPGA employs logical cell array LCA (Logic Cell Array) such a concept, and inside includes matching somebody with somebody
Put logic module CLB (Configurable Logic Block), input/output module IOB (Input Output Block) and
Three parts of interconnector (Interconnect).
Using it is of the invention based on steering wheel detect driver status identifying system, for existing identifying system pattern because
To cause without whole process detection, power consumption is big, the technical problem of burden weight is brought to driver, using recent movement sensor
Motion state for detecting vehicle steering, with vehicle steering quiescent duration as trigger condition, it is right to trigger or suspend
The state recognition of driver, while by effective laboratory data, improve high-precision state recognition pattern so that this hair
It is bright ensure recognition effect while, it is to avoid the unnecessary consumption of power supply unit electric power, improve driver Driving.
Although it is understood that the present invention is disclosed as above with preferred embodiment, but above-described embodiment and being not used to
Limit the present invention.For any those of ordinary skill in the art, in the case where technical solution of the present invention ambit is not departed from,
Many possible variations and modification are all made to technical solution of the present invention using the technology contents of the disclosure above, or is revised as
With the Equivalent embodiments of change.Therefore, every content without departing from technical solution of the present invention, according to technical spirit pair of the invention
Any simple modification, equivalent variation and modification made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (1)
1. it is a kind of based on steering wheel detection driver status identifying system, the identifying system include recent movement sensing
Device, the brain wave detection helmet, wireless communication interface and Freescale IMX6 processors, the recent movement sensor are used to examine
The motion state of vehicle steering is surveyed, the brain wave detection helmet is used to detect the brain wave feature of driver, the winged think of
Karr IMX6 processors are distinguished with the recent movement sensor, the brain wave detection helmet and the wireless communication interface
Connection, determines whether to start the detection operation of the brain wave detection helmet, and starting the inspection based on the motion state
After surveying operation, the current driving condition of driver is determined according to the analysis result to the brain wave feature, will currently drive shape
State is sent to the wireless communication interface；
Characterized in that, the identifying system also includes：
User input equipment, for the operation according to user, receives quiescent time threshold value, the first detecting factor threshold of user input
Value and the second detecting factor threshold value, the first detecting factor threshold value are more than the second detecting factor threshold value；
SDRAM, connects the user input equipment, for receiving and store the quiescent time threshold value, first detection because
Sub- threshold value and the second detecting factor threshold value；
High-definition camera, including cmos sensor and secondary light source, the cmos sensor driver's face is shot with
Face-image is obtained, the secondary light source provides illumination fill-in light, the illumination fill-in light for the shooting of the cmos sensor
Intensity be inversely proportional with the light luminance of the secondary light source surrounding environment, the resolution ratio of the face-image is 1280 × 720；
Power supply unit, including solar powered device, battery, switching switch and electric pressure converter, the switching switch and institute
State solar powered device and the battery is connected respectively, decided whether to be switched to the sun according to battery dump energy
Energy power supply device is powered with by the solar powered device, and the electric pressure converter is connected with the switching switch, will be logical
The 5V voltage conversions for crossing switching switch input are 3.3V voltages；
The wireless communication interface is connected respectively with the Freescale IMX6 processors and the high-definition camera, including：
Image recombiner unit, is connected respectively with the Freescale IMX6 processors and the high-definition camera, for will with sleep
Dormancy status signal, frazzle signal or the corresponding prompting word of waking state signal are compound on the face-image to be formed
Combination picture；
Image compression unit, is connected with described image recombiner unit, for based on MPEG-4 compression standards to the combination picture
Compression of images is carried out to obtain compression combined image；
Wireless transmit/receive units, are connected with described image compression unit, for the compression combined image wireless to be sent into driving
Member's unit one belongs to's LAN and the mobile terminal of driver unit one belongs to director；
The recent movement sensor connects vehicle steering, the quiescent duration for detecting vehicle steering；
The brain wave detection helmet includes：
Earth electrode, is positioned over the head front portion midpoint of driver, for exclusive PCR；
Reference electrode, the electrode as driver's body with respect to zero-potential point is positioned over the ear of driver using the vertical connection of ears
On hanging down；
Active electrode, is positioned on the scalp of driver；
Signal receiving unit, is connected respectively with the earth electrode, the reference electrode and the active electrode, by the effect
The signal that electrode is received subtracts the signal that the reference electrode receives and is exported as eeg signal, the brain wave letter
Number sample frequency be 256Hz；
Microcontroller, is connected with the signal receiving unit, and α ripples therein, β ripples and θ are parsed from the eeg signal
Ripple, the frequency range of the α ripples is 8-14Hz, and the frequency range of the β ripples is 14-30Hz, and the frequency range of the θ ripples is 4-
8Hz, calculates power to obtain α wave powers, β wave powers and θ wave powers, divided by β after α wave powers are added with θ wave powers respectively
Wave power obtain except value as the brain wave state-detection factor；
The Freescale IMX6 processors are sensed with the SDRAM, the brain wave detection helmet and the recent movement
Device is connected respectively, when the quiescent duration for receiving is more than or equal to the quiescent time threshold value, into state-detection pattern,
When the quiescent duration for receiving is less than the quiescent time threshold value, state-detection pattern is exited；
Wherein, the Freescale IMX6 processors are in state-detection pattern, when the brain wave state-detection factor is more than or equal to
During the first detecting factor threshold value, sleep state signals are exported, when the brain wave state-detection factor is less than the described first detection
Factor threshold but during more than or equal to the second detecting factor threshold value, exports tired status signal, when brain wave state-detection because
When son is less than the second detecting factor threshold value, waking state signal is exported；
The user input equipment is touch-screen or input keyboard；
The identifying system also includes：
Display device, is connected with the Freescale IMX6 processors, for display in real time and sleep state signals, described
Tired status signal or the corresponding prompting word of the waking state signal；
The display device is LCDs, and the user input equipment is and touching that the LCDs is integrated
Touch screen；
The display device is also connected with the recent movement sensor, with real-time display automobile steering wheel it is static continue when
Between.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510535814.XA CN105172794B (en) | 2015-04-16 | 2015-04-16 | Driver's state recognition system based on steering wheel detection |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510180963.9A CN104802800B (en) | 2015-04-16 | 2015-04-16 | Driver's state recognition system based on steering wheel detection |
| CN201510535814.XA CN105172794B (en) | 2015-04-16 | 2015-04-16 | Driver's state recognition system based on steering wheel detection |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510180963.9A Division CN104802800B (en) | 2015-04-16 | 2015-04-16 | Driver's state recognition system based on steering wheel detection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105172794A CN105172794A (en) | 2015-12-23 |
| CN105172794B true CN105172794B (en) | 2017-06-23 |
Family
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| CN201510180963.9A Active CN104802800B (en) | 2015-04-16 | 2015-04-16 | Driver's state recognition system based on steering wheel detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105083296A (en) * | 2015-08-05 | 2015-11-25 | 深圳市航盛电子股份有限公司 | Safe driving assistance system and method based on BLE and wearable device |
| CN105411571A (en) * | 2016-01-02 | 2016-03-23 | 无锡桑尼安科技有限公司 | High-speed rail driver early warning platform based on physiological parameter analysis |
| CN105763850A (en) * | 2016-03-30 | 2016-07-13 | 冯华飞 | Monitor based on face identification |
| JP6202479B1 (en) * | 2016-04-22 | 2017-09-27 | マツダ株式会社 | Vehicle behavior control device |
| CN107248263A (en) | 2017-08-08 | 2017-10-13 | 京东方科技集团股份有限公司 | A kind of fatigue driving detecting system |
| CN108670241A (en) * | 2018-06-27 | 2018-10-19 | 华南理工大学 | A kind of novel flexible printing veneer electrod-array |
| WO2020007877A1 (en) | 2018-07-02 | 2020-01-09 | Dassi Limited | Movable items and wearable items worn by users of the same, and systems and methods for monitoring or controlling operation of movable items |
| US11639195B2 (en) * | 2019-02-27 | 2023-05-02 | Steering Solutions Ip Holding Corporation | Lane change assistant |
| JP7010259B2 (en) * | 2019-03-20 | 2022-02-10 | カシオ計算機株式会社 | Imaging equipment, imaging methods and programs |
| CN110742602B (en) * | 2019-10-15 | 2021-02-19 | 武汉理工大学 | Method for recognizing aggressive driving state based on electroencephalogram and vehicle driving data |
| CN113799702B (en) * | 2021-09-15 | 2023-05-16 | 塔里木大学 | Vehicle safety alarm system based on face recognition |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101624036A (en) * | 2008-07-11 | 2010-01-13 | 株式会社日立制作所 | Vehicle mounted apparatus |
| CN202383802U (en) * | 2011-12-31 | 2012-08-15 | 长安大学 | Acousto-optic warning system for truck fatigue driving |
| DE102012017477A1 (en) * | 2012-09-04 | 2013-03-21 | Daimler Ag | Method for monitoring driver state of driver of vehicle based on steering pattern recognition, involves performing steering pattern recognition based on activity information and/or degree of activity of activated transverse guidance system |
| CN103824419A (en) * | 2012-11-16 | 2014-05-28 | 西安众智惠泽光电科技有限公司 | Automobile fatigue driving remote monitoring and real-time prompting system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102005057267A1 (en) * | 2005-12-01 | 2007-06-06 | Robert Bosch Gmbh | Inattentive driver condition recognizing method for vehicle`s driver assisting system, involves generating signal representing condition during existence of typical temporal flow of signals, which characteristically influence condition |
| CN202995969U (en) * | 2012-11-16 | 2013-06-12 | 西安众智惠泽光电科技有限公司 | Automobile fatigue driving remote monitoring and real-time prompting system |
-
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101624036A (en) * | 2008-07-11 | 2010-01-13 | 株式会社日立制作所 | Vehicle mounted apparatus |
| CN202383802U (en) * | 2011-12-31 | 2012-08-15 | 长安大学 | Acousto-optic warning system for truck fatigue driving |
| DE102012017477A1 (en) * | 2012-09-04 | 2013-03-21 | Daimler Ag | Method for monitoring driver state of driver of vehicle based on steering pattern recognition, involves performing steering pattern recognition based on activity information and/or degree of activity of activated transverse guidance system |
| CN103824419A (en) * | 2012-11-16 | 2014-05-28 | 西安众智惠泽光电科技有限公司 | Automobile fatigue driving remote monitoring and real-time prompting system |
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| CN105172794A (en) | 2015-12-23 |
| CN104802800B (en) | 2016-08-31 |
| CN104802800A (en) | 2015-07-29 |
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