CN106056850A - Fatigue driving monitoring system - Google Patents
Fatigue driving monitoring system Download PDFInfo
- Publication number
- CN106056850A CN106056850A CN201610510759.3A CN201610510759A CN106056850A CN 106056850 A CN106056850 A CN 106056850A CN 201610510759 A CN201610510759 A CN 201610510759A CN 106056850 A CN106056850 A CN 106056850A
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- Prior art keywords
- brain wave
- communication device
- facial feature
- controller
- brain
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a fatigue driving monitoring system comprising an earphone, a facial feature extraction device, and a controller. The earphone includes a brain wave detection sensor for collecting a brain wave signal and a first communication device for sending the brain wave signal collected by the brain wave detection sensor out. The facial feature extraction device consists of a shooting device for shooting a facial feature image to extract a facial feature point, a second communication device for sending the facial feature image information out, and an early warning device. The controller includes a third communication device, a pre-stored brain wave database and a pre-stored facial feature point database; the third communication device is connected with the first communication, the second communication device, and the early-warning device electrically. A power assembly is connected with the facial feature point extraction device and the controller. According to the invention, brain wave and facial visual feature comparison is realized and monitoring and early warning of fatigue driving are completed. The monitoring system has advantages of simpleness, convenient operation, and high monitoring precision.
Description
Technical field
The invention belongs to safe driving field, be specifically related to a kind of real-time driving fatigue monitoring system.
Background technology
Along with science and technology and the development of society's level, automobile has progressed into increasing people with its distinctive superiority
Life in, bring convenience, comfort level to the life of people.But, people are enjoying the same of the superiority that brings of automobile
Time, also pay painful cost, such as, due to the fast pace of the modern life, caused people to be in fatigue state and go to drive vehicle
Or the fatigue driving that long drives vehicle etc. causes, bringing insecurity for vehicle drive, fatigue driving accounts in traffic accident reason
Great majority, cause huge loss to the lives and properties of the country and people masses.Therefore, research is a kind of effective and accurate
Property the high monitoring driver monitoring system that whether is in fatigue driving significant.
Summary of the invention
Goal of the invention: the problem and shortage existed for above-mentioned prior art, it is an object of the invention to provide a kind of tired
Drive monitoring system, it is achieved brain wave and face visual signature contrast, complete monitoring and the early warning of fatigue driving, monitoring system letter
Single, operation facility, monitoring degree of accuracy height.
Technical scheme: the invention discloses a kind of real-time driving fatigue monitoring system, including:
Earphone, it includes that the brain wave gathering eeg signal detects sensor and adopted by described brain wave detection sensor
The first communication device that the eeg signal of collection sends；
Facial feature extraction device, it include shoot facial feature image with extract face feature point camera head, general
The secondary communication device of described facial feature image delivering and prior-warning device；
Controller, it electrically connects with described brain wave detection sensor and described camera head respectively；Described controller bag
Include third communication device, the brain wave data that prestores storehouse and the facial characteristics point data base that prestores；Described third communication device is respectively
Electrically connect with described first communication device, described secondary communication device and described prior-warning device；And,
Power supply module, is connected respectively to described facial feature extraction device and described controller；
Wherein, described brain wave detection sensor is brain electrode sheet, and described brain electrode sheet is detachably attached to described earphone
Near the side of brain when wearing, and described brain electrode sheet laminating brain surface；
Described facial characteristics includes eye feature and face feature.
Preferably, power supply module includes solar energy photovoltaic panel, solar electrical energy generation charge controller, accumulator battery, inversion
Device；The outfan of described solar energy photovoltaic panel connects the charging circuit of accumulator battery by solar electrical energy generation charge controller；Institute
The discharge circuit stating accumulator battery is connected respectively to described facial feature extraction device and described controller by described inverter.
Preferably, described power supply module also includes the angle demodulator being arranged on roof, under described solar energy photovoltaic panel
Square tube over-angle actuator is connected to roof.
Beneficial effect: the present invention compared with prior art, has that monitoring system is simple, operation is convenient, monitoring degree of accuracy is high
Advantage.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the real-time driving fatigue monitoring system of the present invention.
Detailed description of the invention
As it is shown in figure 1, the present embodiment provides the monitoring system of a kind of fatigue driving, including:
Earphone 10, it includes that the brain wave gathering eeg signal detects sensor 11 and brain wave detects sensor 11
The first communication device 12 that the eeg signal gathered sends；
Facial feature extraction device 20, it includes the camera head shooting facial feature image to extract face feature point
21, by secondary communication device 22 and the prior-warning device 23 of facial feature image delivering；
Controller 30, it electrically connects with brain wave detection sensor 11 and camera head 21 respectively；Controller 30 includes
Three communicators 31, the brain wave data that prestores storehouse 32 and the facial characteristics point data base 33 that prestores；Third communication device 31 is respectively
Electrically connect with first communication device 12, secondary communication device 22 and prior-warning device 23；And,
Power supply module 40, it includes solar energy photovoltaic panel 41, solar electrical energy generation charge controller 42, accumulator battery 43, inverse
Become device 44；The outfan of solar energy photovoltaic panel 41 connects the charged electrical of accumulator battery 43 by solar electrical energy generation charge controller 42
Road；The discharge circuit of accumulator battery 43 is connected respectively to facial feature extraction device 20 and controller 30 by inverter 44.
Wherein, brain wave detection sensor 11 is brain electrode sheet, and brain electrode sheet is detachably attached to lean on when earphone 10 is worn
The side of nearly brain, and brain electrode sheet laminating brain surface, it is not necessary to brain is carried out damage process, can realize adopting by contact
Collection eeg signal, improves safety and convenience that eeg signal gathers.Each earphone 10 is provided with at least one brain
Electric wave detection sensor 11, at least one brain wave detection sensor 11 can provide the number that at least one eeg signal gathers
According to, be conducive to improving the accuracy that eeg signal gathers.
Earphone 10 is to be hung on one of single ear or be hung on two of two ears respectively.Earphone 10 is to be hung on
One of single ear, wears quick, easy to use；Earphone 10 is be hung on two ears respectively two, by two points
It is not hung on the earphone 10 of two ears, brain both sides can be gathered with every ear near the eeg signal at place, add
The place gathered and number of times, add the accuracy that eeg signal gathers.
Controller 30 receives, by third communication device 31, the eeg signal that first communication device 12 sends and goes forward side by side line number
Real-time brain wave data are drawn according to process.Specifically, eeg signal mixes much noise, controller 30 in gatherer process
The data process first step of eeg signal must first be filtered.Non-linear and non-stationary for eeg signal, controls
Device 30 uses effective Time-Frequency Analysis Method wavelet transformation to carry out the wave filter to design eeg signal, and the present invention uses soon
The wavelet transform of speed.It should be noted that controller 30 can be separately provided, it is also possible to be integrated in facial feature extraction dress
Put in 20.
Facial characteristics includes eye feature and face feature, and eye feature includes that eyes normal characteristics point is special with eyestrain
Levying a little, face feature includes face normal characteristics point and face fatigue characteristic point.Controller 30 is provided with the facial characteristics that prestores and counts
According to storehouse 33, it specifically includes: prestore eye feature point set and the face feature point set that prestores.Wherein, the eye feature point set that prestores is
By calculating the characteristic point that eyes normally open and height that tiring moments opens is demarcated around eyelid and the eye that prestores formed
Eyeball normal characteristics point set and eyestrain feature point set that prestores；The face feature point set that prestores be by calculate face normally open and
What the amplitude that tiring moments opens was formed to the characteristic point demarcated around face prestore face normal characteristics point set and the mouth that prestores
Bar fatigue characteristic point set.Facial characteristics such as eye feature and the extraction of face feature, the present invention uses based on ASM
The characteristic point positioning method of (Active Shape Model, active shape model) model, the most first to each of eyes and face
Feature carries out manual characteristic point described point, then by ASM model, the described point of manual characteristic point is identified and is positioned.But, ASM
Being the algorithm of a kind of sensitivity, sensitive prime is in original state.Original state OK whether directly affect final Search Results, for
Give the original state of optimum, be used alone ASM and can not obtain the most accurate result, therefore, use Optimal-threshold segmentation method,
The method i.e. combined with Bayes's optimal threshold by ASM, utilizes Bayesian optimal threshold to provide one reasonably to ASM
Original state, to improve eye feature and the accuracy of face feature extraction.
Power supply module 40 is generated electricity, by generated energy by solar energy photovoltaic panel 41 and solar electrical energy generation charge controller 42
It is stored in accumulator battery 43, then powers to facial feature extraction device 20 and controller 30 by inverter 44, save the energy, clearly
Clean pollution-free.
Claims (3)
1. a real-time driving fatigue monitoring system, it is characterised in that including:
Earphone, it includes that the brain wave gathering eeg signal detects sensor and by described brain wave detection sensor acquisition
The first communication device that eeg signal sends；
Facial feature extraction device, it includes shooting facial feature image to extract the camera head of face feature point, by described
The secondary communication device of facial feature image delivering and prior-warning device；
Controller, it electrically connects with described brain wave detection sensor and described camera head respectively；Described controller includes
Three communicators, the brain wave data that prestores storehouse and the facial characteristics point data base that prestores；Described third communication device respectively with institute
State first communication device, described secondary communication device and the electrical connection of described prior-warning device；And,
Power supply module, is connected respectively to described facial feature extraction device and described controller；
Wherein, described brain wave detection sensor is brain electrode sheet, and described brain electrode sheet is detachably attached to described earphone and wears
Time near the side of brain, and described brain electrode sheet laminating brain surface；
Described facial characteristics includes eye feature and face feature.
A kind of real-time driving fatigue monitoring system the most according to claim 1, it is characterised in that: described power supply module includes the sun
Can photovoltaic panel, solar electrical energy generation charge controller, accumulator battery, inverter；The outfan of described solar energy photovoltaic panel is by too
Sun energy generating-charging controller connects the charging circuit of accumulator battery；The discharge circuit of described accumulator battery passes through described inverter
It is connected respectively to described facial feature extraction device and described controller.
A kind of real-time driving fatigue monitoring system the most according to claim 2, it is characterised in that: described power supply module also includes setting
Put the angle demodulator at roof, below described solar energy photovoltaic panel, be connected to roof by angle demodulator.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610510759.3A CN106056850A (en) | 2016-06-30 | 2016-06-30 | Fatigue driving monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610510759.3A CN106056850A (en) | 2016-06-30 | 2016-06-30 | Fatigue driving monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106056850A true CN106056850A (en) | 2016-10-26 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610510759.3A Pending CN106056850A (en) | 2016-06-30 | 2016-06-30 | Fatigue driving monitoring system |
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| Country | Link |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107374652A (en) * | 2017-07-20 | 2017-11-24 | 京东方科技集团股份有限公司 | Quality monitoring method, device and system based on electronic product study |
| CN108365647A (en) * | 2018-02-11 | 2018-08-03 | 广东欧珀移动通信有限公司 | Control charge mode method and relevant apparatus |
| CN111353357A (en) * | 2019-01-31 | 2020-06-30 | 杭州海康威视数字技术股份有限公司 | Face modeling system, method and device |
| US11246797B2 (en) | 2017-05-27 | 2022-02-15 | Boe Technology Group Co., Ltd. | Massage glove and vehicle-mounted massage device |
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| CN104840204A (en) * | 2015-04-10 | 2015-08-19 | 京东方科技集团股份有限公司 | Fatigue driving monitoring method and equipment |
| CN105069977A (en) * | 2015-07-28 | 2015-11-18 | 宋婉毓 | Reminding device and reminding method for preventing fatigue driving |
| CN205230274U (en) * | 2015-12-21 | 2016-05-11 | 合肥师范学院 | Driver fatigue monitoring system |
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2016
- 2016-06-30 CN CN201610510759.3A patent/CN106056850A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104840204A (en) * | 2015-04-10 | 2015-08-19 | 京东方科技集团股份有限公司 | Fatigue driving monitoring method and equipment |
| CN105069977A (en) * | 2015-07-28 | 2015-11-18 | 宋婉毓 | Reminding device and reminding method for preventing fatigue driving |
| CN205230274U (en) * | 2015-12-21 | 2016-05-11 | 合肥师范学院 | Driver fatigue monitoring system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11246797B2 (en) | 2017-05-27 | 2022-02-15 | Boe Technology Group Co., Ltd. | Massage glove and vehicle-mounted massage device |
| CN107374652A (en) * | 2017-07-20 | 2017-11-24 | 京东方科技集团股份有限公司 | Quality monitoring method, device and system based on electronic product study |
| CN108365647A (en) * | 2018-02-11 | 2018-08-03 | 广东欧珀移动通信有限公司 | Control charge mode method and relevant apparatus |
| CN111353357A (en) * | 2019-01-31 | 2020-06-30 | 杭州海康威视数字技术股份有限公司 | Face modeling system, method and device |
| CN111353357B (en) * | 2019-01-31 | 2023-06-30 | 杭州海康威视数字技术股份有限公司 | Face modeling system, method and device |
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Application publication date: 20161026 |