CN108154101A - The fatigue driving detecting system and method for a kind of multi-parameter fusion - Google Patents
The fatigue driving detecting system and method for a kind of multi-parameter fusion Download PDFInfo
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- CN108154101A CN108154101A CN201711391389.7A CN201711391389A CN108154101A CN 108154101 A CN108154101 A CN 108154101A CN 201711391389 A CN201711391389 A CN 201711391389A CN 108154101 A CN108154101 A CN 108154101A
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- fatigue driving
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- face
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- 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
Abstract
The present invention relates to the fatigue driving detecting systems and method of a kind of multi-parameter fusion, face recognition module described in the system is used to capture the face-image of driver, identify the eyes of driver, the feature of face, the heart beat detection module is used to detect the heartbeat of driver, the vehicle intelligent terminal is used for the eyes according to driver, the feature of face judges and the heartbeat of driver determines whether fatigue driving, then alarm module is notified to send out alarm signal in this way.This method judges algorithm by the multi objective fatigue driving of vehicle intelligent control terminal, the fatigue driving alarm signal that driver's face recognition module and heart beat detection module are sent out tentatively is judged, the violation driving behavior alert data identified with reference to vehicle behavior identification module carries out comprehensive analysis, and discovery sends out alarm signal when having fatigue driving behavior to driver.The present invention can accurately and real-time detect driver tired driving state and be reminded, and ensure the life security of driver.
Description
Technical field
The present invention relates to the fatigue driving detecting systems and method of a kind of multi-parameter fusion, belong to safe driving detection alarm
Technical field.
Background technology
Existing Driver Fatigue Detection can generally be divided into three classes：Detection side based on physiological driver's parameter
Method, the detection method based on vehicle drive behavior, the detection method based on image procossing, but due to the individual difference of driver, it is single
There are limitations for the detection means of one Testing index, are mainly shown as that accuracy is relatively low, is susceptible to deviation, etc..
Therefore, how multi-sensor information fusion technology is introduced into driving fatigue detection technique, driven with improving
The accuracy and real-time of member's fatigue detecting, become urgent problem to be solved.
Invention content
The invention solves technical problems to be：Driver tired driving state can accurately and real-time be detected by providing one kind
And the system and method reminded, it thereby may be ensured that the life security of driver.
In order to solve the above-mentioned technical problem, one of technical solution proposed by the present invention is：A kind of fatigue of multi-parameter fusion
Detecting system is driven, including face recognition module, heart beat detection module, alarm module and vehicle intelligent terminal, the face is known
Other module, heart beat detection module, alarm module are connect with vehicle intelligent terminal；The face recognition module drives for capturing
The face-image of member, identifies the eyes of driver, the feature of face, and the heart beat detection module is used to detect the heart of driver
It jumps, the vehicle intelligent terminal is used to determine whether fatigue driving according to the eyes of driver, the feature of face, if so, then
Vehicle intelligent terminal further determines whether fatigue driving according to the heartbeat of driver progress, then notifies alarm module in this way
Send out alarm signal.
Being further improved for one of above-mentioned technical proposal be：Further include the vehicle behavior identification being connect with vehicle intelligent terminal
Module, the vehicle behavior identification module are used to identify that the distance of institute's driving vehicle and front truck, institute's driving vehicle generation track are inclined
From time interval, institute's driving vehicle velocity variations value within a preset time interval and driven Ackermann steer angle vehicle
Speed before the vehicle intelligent terminal notice alarm module sends out alarm signal, according to the time interval, velocity variations value, turns
Speed when curved determines whether fatigue driving, if so, then alarm module is notified to send out alarm signal.
In the present invention, the eyes, face feature and the identification that identify driver according to the face-image of driver are driven
Sail the distance of vehicle and front truck, the time interval of deviation, institute's driving vehicle occur for institute's driving vehicle in prefixed time interval
Interior velocity variations value and the speed of driven Ackermann steer angle, are the prior art.
Preferably, the face recognition module captures the face of driver by the digital camera head of 360 degree of automobile data recorders
Portion's image.The vehicle intelligent terminal detects whether driver has according to the feature of eyes, face by PERCLOS algorithms
Fatigue driving.The vehicle intelligent terminal is less than the duration of 50 times per minute according to the beats of driver, and detection is driven
Whether the person of sailing has fatigue driving.
In order to solve the above-mentioned technical problem, technical solution proposed by the present invention second is that：A kind of fatigue of Parameter fusion is driven
Sail the detection method of detecting system, the face recognition module captures the face-image of driver, identify driver eyes,
Face feature；The heart beat detection module detects the heartbeat of driver；The vehicle behavior identification module is driven for identifying
Sail the distance of vehicle and front truck, the time interval of deviation, institute's driving vehicle occur for institute's driving vehicle in prefixed time interval
Interior velocity variations value and the speed of driven Ackermann steer angle；The vehicle intelligent terminal is first according to the eye of driver
Eyeball, face feature determine whether fatigue driving, if so, then vehicle intelligent terminal carried out according to the heartbeat of driver it is further
Determine whether fatigue driving, if so, then according to the time interval, velocity variations value, turning when speed judge whether
For fatigue driving, if so, then alarm module is notified to send out alarm signal.
Being further improved for the two of above-mentioned technical proposal be：The vehicle intelligent terminal will be driven by 4G wireless routers
The fatigue driving behavior of the personal information of member, the eyes of driver and the characteristic information of face, the heart rate of driver, driver is believed
Breath is sent to distance host；The distance host establishes physiology and the analytical database of behavioural characteristic, fatigue occurs in driver
The period of driving is sent to vehicle intelligent terminal in advance, and warning reminding is carried out by vehicle intelligent terminal notice alarm module.
The advantageous effect that the present invention is brought is：The present invention exists for driver tired driving early warning system in the prior art
That function is single, accuracy is relatively low, higher price, it has not been convenient to which multi-sensor information fusion technology is introduced by the shortcomings of installing
Driving fatigue detection technique obtains much information in real time by vehicle-mounted multisensory, improves fatigue driving monitoring technology
Reliability.
Description of the drawings
Fig. 1 is the schematic diagram of fatigue driving detecting system in the embodiment of the present invention.
Reference numeral：Heart beat detection module 1, face recognition module 2, vehicle behavior identification module 3, vehicle intelligent terminal 4,
4G wireless routers 5, alarm module 6 and distance host 7.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings, and the attached drawing of the present embodiment is used for providing to of the invention into one
Step understands, forms the part of the application.
Embodiment one
The present embodiment is a kind of fatigue driving detecting system of multi-parameter fusion, as shown in Figure 1, including face recognition module 2, the heart
Jump detection module 1, alarm module 6 and vehicle intelligent terminal 4, the face recognition module 2, heart beat detection module 1, alarm module
6 connect with vehicle intelligent terminal 4；The face recognition module 2 is used to capture the face-image of driver（Institute in the present embodiment
State the face that face recognition module 2 captures driver by the digital camera head of 360 degree of automobile data recorders being installed on vehicle
Image）, identify the eyes of driver, the feature of face.
The heart beat detection module 1 is used to detect the heartbeat of driver, can detect driver according to existing Intelligent bracelet
Heartbeat.
The vehicle intelligent terminal 4 is used to determine whether fatigue driving according to the eyes of driver, the feature of face, such as
It is that then vehicle intelligent terminal 4 further determines whether fatigue driving according to the heartbeat of driver progress, if so, then notifying
Alarm module 6 sends out alarm signal.
The vehicle intelligent terminal detects whether driver has according to the feature of eyes, face by PERCLOS algorithms
Fatigue driving, PERCLOS algorithms are the prior art, are repeated no more.The vehicle intelligent terminal is according to the beats of driver
Whether duration during less than 50 times per minute, detection driver have fatigue driving, i.e. beats are less than 50 times per minute
Duration be more than 5 minutes when be determined as fatigue driving, be not otherwise.
Embodiment two
The present embodiment is the improvement on the basis of embodiment one, is theed improvement is that：As shown in Figure 1, it further includes and vehicle-mounted intelligence
The vehicle behavior identification module 3 that energy terminal 4 connects, the vehicle behavior identification module 3 are used to identify institute's driving vehicle and front truck
Distance, institute driving vehicle time interval, the velocity variations of institute's driving vehicle within a preset time interval of deviation occur
The speed of value and driven Ackermann steer angle, before the vehicle intelligent terminal notice alarm module sends out alarm signal, according to
The speed when time interval, velocity variations value, turning determines whether fatigue driving, if so, then alarm module is notified to send out
Go out alarm signal.
The present embodiment can conveniently, reliably detect some key indexes of physiological driver's parameter（Such as eyes, mouth
Bar, heartbeat）Tentatively to judge whether there is tired generation, then the harmful influence vehicle Initiative Defense of existing mature and reliable is relied on to alarm eventually
Obtained in end driver some violation driving behavior such as deviations, it is anxious accelerate, the alarm signal of tempo turn is come according to driving
The person of sailing goes the manipulation situation of vehicle to judge whether driver has tired generation indirectly（This is the prior art）, then pass through alarm
Module reminds driver in time, ensures traffic safety, reliable communications are cost-effective, are suitble to promote the use of.
Embodiment three
The present embodiment is the detection method of the fatigue driving detecting system of the multi-parameter fusion in application implementation two, and the face is known
Other module captures the face-image of driver, identifies eyes, the face feature of driver；The heart beat detection module detects
The heartbeat of driver；The vehicle behavior identification module is used to identify the distance of institute's driving vehicle and front truck, institute's driving vehicle hair
The time interval of raw deviation, institute's driving vehicle velocity variations value within a preset time interval and driven turn inside diameter
When speed；The vehicle intelligent terminal determines whether fatigue driving according to the feature of the eyes of driver, face first, such as
It is that then vehicle intelligent terminal further determines whether fatigue driving according to the heartbeat of driver progress, if so, then according to institute
Speed when stating time interval, velocity variations value, turning determines whether fatigue driving, if so, then alarm module is notified to send out
Alarm signal.
The present embodiment can also use following improvement：The vehicle intelligent terminal is by 4G wireless networks by the individual of driver
Information, the characteristic information of the eyes of driver and face, the heart rate of driver, driver fatigue driving behavioural information be sent to
Distance host；The distance host establishes physiology and the analytical database of behavioural characteristic, when fatigue driving occurs in driver
Between section be sent to vehicle intelligent terminal in advance, by vehicle intelligent terminal notice alarm module carry out warning reminding.
When heart beat detection module uses Intelligent bracelet, the heartbeat data of the driver of Intelligent bracelet acquisition can be passed through
Bluetooth communication is sent on the mobile phone of driver, then uploads to distance host by the mobile phone of driver.In this embodiment
Under, the mobile phone of driver and distance host can be bound, the distance host period of fatigue driving occurs in driver
It is sent in the mobile phone of driver and is reminded in advance.
The present invention is not limited to the specific technical solution described in above-described embodiment, and in addition to the implementation, the present invention may be used also
To there is other embodiment.For those skilled in the art, all within the spirits and principles of the present invention, that is made appoints
The technical solution of the formation such as what modification, equivalent replacement, improvement, should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of fatigue driving detecting system of multi-parameter fusion, it is characterised in that：Including face recognition module, heartbeat detection mould
Block, alarm module and vehicle intelligent terminal, the face recognition module, heart beat detection module, alarm module are and vehicle intelligent
Terminal connects；The face recognition module is used to capture the face-image of driver, identifies the eyes of driver, the spy of face
Sign, the heart beat detection module are used to detecting the heartbeat of driver, the vehicle intelligent terminal be used for the eyes according to driver,
The feature of face determines whether fatigue driving, if so, then vehicle intelligent terminal carries out further according to the heartbeat of driver
Determine whether fatigue driving, then alarm module is notified to send out alarm signal in this way.
2. the fatigue driving detecting system of multi-parameter fusion according to claim 1, it is characterised in that：Further include with it is vehicle-mounted
The vehicle behavior identification module of intelligent terminal connection, the vehicle behavior identification module are used to identify institute's driving vehicle and front truck
Time interval, the velocity variations value of institute's driving vehicle within a preset time interval of deviation occur for distance, institute's driving vehicle
And the speed of driven Ackermann steer angle, before the vehicle intelligent terminal notice alarm module sends out alarm signal, according to institute
Speed when stating time interval, velocity variations value, turning determines whether fatigue driving, if so, then alarm module is notified to send out
Alarm signal.
3. the fatigue driving detecting system of multi-parameter fusion according to claim 1, it is characterised in that：The recognition of face
Module captures the face-image of driver by the digital camera head of 360 degree of automobile data recorders.
4. the fatigue driving detecting system of multi-parameter fusion according to claim 1, it is characterised in that：The vehicle intelligent
Terminal detects whether driver has fatigue driving according to the feature of eyes, face by PERCLOS algorithms.
5. the fatigue driving detecting system of multi-parameter fusion according to claim 1, it is characterised in that：The vehicle intelligent
Duration when terminal is less than 50 times per minute according to the beats of driver is more than preset time threshold, and judgement drives
Member has fatigue driving.
6. a kind of detection method of the fatigue driving detecting system of multi-parameter fusion using described in claim 2, feature exist
In：The face recognition module captures the face-image of driver, identifies eyes, the face feature of driver；The heartbeat
Detection module detects the heartbeat of driver；The vehicle behavior identification module be used to identifying institute's driving vehicle and front truck away from
From, institute driving vehicle occur the time interval of deviation, the velocity variations value of institute's driving vehicle within a preset time interval with
And the speed of driven Ackermann steer angle；
The vehicle intelligent terminal first according to the eyes of driver, face feature by PERCLOS algorithms to determine whether
For fatigue driving, if so, duration when then vehicle intelligent terminal is less than 50 times per minute according to the beats of driver
Whether be more than preset time threshold progress further determine whether fatigue driving, if so, then according to the time interval,
Speed when velocity variations value, turning determines whether fatigue driving, if so, then alarm module is notified to send out alarm signal.
7. the detection method of the fatigue driving detecting system of multi-parameter fusion according to claim 6, it is characterised in that：Institute
State vehicle intelligent terminal by 4G networks by the personal information of driver, the eyes of driver and face characteristic information, drive
The heart rate of member, the fatigue driving behavioural information of driver are sent to distance host；The distance host establishes physiology and behavior is special
The analytical database of sign, the period for occurring fatigue driving in driver is sent to vehicle intelligent terminal in advance, by vehicle intelligent
Terminal notification alarm module carries out warning reminding.
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| CN201711391389.7A CN108154101A (en) | 2017-12-21 | 2017-12-21 | The fatigue driving detecting system and method for a kind of multi-parameter fusion |
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| CN201711391389.7A CN108154101A (en) | 2017-12-21 | 2017-12-21 | The fatigue driving detecting system and method for a kind of multi-parameter fusion |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109318802A (en) * | 2018-09-18 | 2019-02-12 | 惠龙易通国际物流股份有限公司 | One kind is with vehicle monitor terminal |
| CN109460703A (en) * | 2018-09-14 | 2019-03-12 | 华南理工大学 | A kind of non-intrusion type fatigue driving recognition methods based on heart rate and facial characteristics |
| CN109559481A (en) * | 2018-12-13 | 2019-04-02 | 平安科技（深圳）有限公司 | Drive risk intelligent identification Method, device, computer equipment and storage medium |
| CN109875584A (en) * | 2019-03-01 | 2019-06-14 | 广东轻工职业技术学院 | The detection method and its warning system of physiological driver's fatigue |
| CN110281944A (en) * | 2019-06-12 | 2019-09-27 | 浙江亚太机电股份有限公司 | Driver status based on multi-information fusion monitors system |
| CN110371133A (en) * | 2019-06-28 | 2019-10-25 | 神龙汽车有限公司 | Fatigue of automobile driver detection system and method |
| CN110638474A (en) * | 2019-09-25 | 2020-01-03 | 中控智慧科技股份有限公司 | Method, system and equipment for detecting driving state and readable storage medium |
| CN111376909A (en) * | 2020-03-21 | 2020-07-07 | 东风汽车集团有限公司 | Indirect fatigue monitoring method |
| CN111510665A (en) * | 2019-01-30 | 2020-08-07 | 杭州海康威视数字技术股份有限公司 | Monitoring system, monitoring method and device combining millimeter wave radar and camera |
| CN112287818A (en) * | 2020-10-28 | 2021-01-29 | 白彧 | Intelligent vehicle-mounted driver assistance system and working method thereof |
| CN113370990A (en) * | 2020-03-10 | 2021-09-10 | 华为技术有限公司 | Driving assistance method and driving assistance device |
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| CN109460703A (en) * | 2018-09-14 | 2019-03-12 | 华南理工大学 | A kind of non-intrusion type fatigue driving recognition methods based on heart rate and facial characteristics |
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| CN110371133A (en) * | 2019-06-28 | 2019-10-25 | 神龙汽车有限公司 | Fatigue of automobile driver detection system and method |
| CN110638474A (en) * | 2019-09-25 | 2020-01-03 | 中控智慧科技股份有限公司 | Method, system and equipment for detecting driving state and readable storage medium |
| CN113370990A (en) * | 2020-03-10 | 2021-09-10 | 华为技术有限公司 | Driving assistance method and driving assistance device |
| WO2021179889A1 (en) * | 2020-03-10 | 2021-09-16 | 华为技术有限公司 | Driving assistance method and driving assistance apparatus |
| CN111376909A (en) * | 2020-03-21 | 2020-07-07 | 东风汽车集团有限公司 | Indirect fatigue monitoring method |
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Application publication date: 20180612 |