CN206049658U - Angry driver behavior modeling and tampering devic based on drive automatically people's characteristic - Google Patents
Angry driver behavior modeling and tampering devic based on drive automatically people's characteristic Download PDFInfo
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- CN206049658U CN206049658U CN201621033614.0U CN201621033614U CN206049658U CN 206049658 U CN206049658 U CN 206049658U CN 201621033614 U CN201621033614 U CN 201621033614U CN 206049658 U CN206049658 U CN 206049658U
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Abstract
The utility model discloses a kind of angry driver behavior modeling and tampering devic based on drive automatically people's characteristic, including vehicle blow a whistle monitoring system, steering wheel operation monitoring system, acceleration change monitoring system, sound monitoring system, onboard system, self-adapting detecting system, drive angry Emotion identification system and warning system.The universal behavior showed when driving from many aspects real-time monitoring driver indignation by this utility model, eliminates driver individual difference to indignation monitoring and the impact for recognizing, degree of accuracy is higher, and accuracy is preferable.Simultaneously when angry driving behavior occurs in driver, device is intervened to which in real time with different stage, the personalized phonetic warning form recorded, so as to solve the intervention difficult problem that traditional universality with mental training as Main Means is low, time-consuming, greatly reduce indignation and drive brought potential safety hazard.
Description
Technical field
This utility model is related to automobile auxiliary security field of electronic devices, specifically a kind of to be based on drive automatically people's characteristic
Angry driver behavior modeling and tampering devic.
Background technology
In recent years, along with the fast development of social economy, vehicle guaranteeding organic quantity is presented the trend of continuous rapid growth, hands over
Logical pressure is increasing, and " road anger disease " has become world's common fault as a kind of phenomenon for taking place frequently.It is traffic congestion, irrational
Traffic safety management and control measures, other people uncivil driving behavior etc. can all induce the angry emotion of driver, and angry emotion
Driver's aggressive driving can be further resulted in, such as abuse other people, madness blow a whistle, hinder other vehicles traveling, hit direction
Disk, the suddenly rough behavior of driving such as acceleration or brake.These Aggressive driving serious harms occurred because of indignation
Road safety, driver's indignation emotion timely should be monitored and further management and control and intervention.
For the monitoring and identification of driver's indignation emotion, research in the past focuses principally on driver's physiological signal, face
In terms of characteristic signal and behavioural information.Although physiological signal and facial characteristics more can reflect driver's emotional state exactly,
Operability is low, or even produces certain interference to driver.And for the research of the behavioural information under driver's indignation emotion,
Cai of Northeast USA university et al.（2007）Found using driving simulator, during angry state the behavioral indicator of driver away from
There is significant difference when the distance of lane center, steering wheel angle and speed etc. are with non-angry state.And thunder tiger, Wu Chaozhong
（2011）Driver's operation behavior feature by questionnaire survey under angry emotion, and point out that the driver of angry state has
The behavior characteristicss such as indicating brake action is big, frequent operation.Driver indignation emotion under behavior characteristicss as angry state monitoring and
Distinguishing indexes, with true and reliable and the characteristics of be easy to collection, and compared to questionnaire survey and driving simulator, real vehicle environment
The monitoring of lower driver's behavior and the identification of emotion have more real-time and effectiveness.
After driving indignation is monitored and recognized, needs carry out further intervention in real time.Current existing interference method
It is concentrated mainly in mental training, with Deffenbacher（1999）Cognitive-behavioral therapy and Kazemeini（2013）Just
Read based on cognitive group training, these intervention means have the disadvantages that：（1）Popularization is low, and small range driver can only be entered
Row concentration training；（2）Time-consuming for Intervention periodicity；（3）The effect of intervention is limited by intervention time and method；（4）Intervene not
With specific aim, personal traitss are failed to comply with.It is therefore desirable to a kind of device of design is used for real-time monitoring driver indignation emotion
And the intervening measure for meeting individual characteristicss accordingly is provided in time, so that precise and high efficiency identification drives indignation and by corresponding
Intervene and reduce the brought harm of indignation driving.
Utility model content
The purpose of this utility model is to provide a kind of angry driver behavior modeling based on drive automatically people's characteristic and does
Pre- device, to realize the early warning to angry driving behavior.
In order to achieve the above object, the technical scheme adopted by this utility model for：
Angry driver behavior modeling and tampering devic based on drive automatically people's characteristic, it is characterised in that：Including vehicle
Blow a whistle monitoring system, steering wheel operation monitoring system, acceleration change monitoring system, sound monitoring system, onboard system, adaptive
Answer detecting system, drive angry Emotion identification system and warning system, wherein：
Described vehicle monitoring system of blowing a whistle is made up of loudspeaker key sensor；
Described steering wheel operation monitoring system is by the steering wheel angle sensor on steering wheel in automobile and holds
Force transducer is constituted；
Described acceleration change monitoring system is made up of the 3-axis acceleration sensor in automobile；
Described sound monitoring system is made up of the sound transducer in car steering room；
Described onboard system includes the drive recorder and GPS of automobile；
Described self-adapting detecting system is made up of single-chip microcomputer, the vehicle blow a whistle monitoring system, steering wheel operation monitoring
System, acceleration change monitoring system, sound monitoring system, onboard system are respectively connected to the single-chip microcomputer of self-adapting detecting system；
Described driving indignation Emotion identification system is made up of single-chip microcomputer；
Described warning system is the voice alarm circuit system being made up of single-chip microcomputer, is broadcast including SD card, LED
Put display lamp and horn interface.
The described angry driver behavior modeling based on drive automatically people's characteristic and tampering devic, it is characterised in that：Institute
The particular content of the voice alarm circuit system stated can carry out personalized recording, read SD card with MP3 phonetic warnings module
In the personalized audio record for prestoring or the music releived, play out when driver produces angry emotion.
In this utility model：
1. indignation expression behavior monitoring is driven
Driver typical case under angry emotion is obtained on the basis of by Literature Consult, driver's interview and questionnaire survey
Behavior Expression, choose typical behaviour index, set up driver's behavior monitoring system：Vehicle blow a whistle monitoring system, steering wheel behaviour
Make monitoring system, acceleration change monitoring system, sound monitoring system, for obtaining real-time behavior dynamic.Vehicle is blown a whistle monitoring
System is mainly made up of film key and several leads, and film key is attached at the horn button of vehicle steering, for supervising
Survey the closure situation of car horn button.Steering wheel angle variation monitoring system is mainly passed by steering wheel angle sensor and grip
Sensor is constituted, for monitoring direction disk corner variable quantity and pace of change and steering wheel grip size.Acceleration change is monitored
System adopts 3-axis acceleration sensor, draws the instantaneous steric acceleration of vehicle；Sound monitoring system is mainly by sound sensor
Device and singlechip group are into for monitoring the intensity of sound for driving interior.Mobile unit such as drive recorder and GPS system are used for
The distance of monitoring automotive run-off-road centrage.
2. self-adapting detecting
Driver's indignation self-adapting detecting method, according to behavioral data during driver's normal driving as reference data,
Personality of the driver on behavioral indicator is extracted, is set up and is driven angry self-adapting detecting model, drive individual for eliminating
Impact of the diversity to angry condition adjudgement, improves the recognition accuracy and generalization ability of detection model.
3. driver's indignation state recognition
Driving behavior index in some cycles is obtained in real time according to driver's behavior monitoring system, it is multinomial by setting up
Logistic theoretical models, are repeated driver training and model checking, and generation can be used to drive what angry state grade judged
Logistic models.
4. early warning
The result for judging is sent into single-chip microcomputer, single-chip microcomputer carries out corresponding phonetic warning prompting according to different results.No
The angry state of same driving is not produced when not producing angry emotion for driver corresponding to different phonetic warnings prompting ranks
Early warning；And when driver is in slight indignation, now will the phonetic warning prompting of triggering one-level, i.e. voice message driver
Already at angry state, and along with the music releived；When driver is in serious indignation, two grades will be now triggered
Early warning, the rank for being superior to first order phonetic warning of two grades of early warning, the predominantly personalized difference that meets recorded are driven
The driving indignation for sailing people intervenes phonetic warning prompting.
This utility model has advantages below：
Generally driving when the 1st, this utility model is angry with analysis driver by inquiry in the theoretical basiss studied
Operation behavior is sailed, and the angry expression way of driver's driving that is typical and taking place frequently is obtained as the Contents for Monitoring of Deviant Behavior, it is ensured that
Objectivity and accuracy.Various behaviors under monitoring driver's indignation emotion ensure that the comprehensive and reliability of monitoring.
2nd, this utility model is to carry out real-time monitoring to driver's indignation emotion expression service, the monitoring process time it is short and can and
When transmit driver's behavioral indicator.
3rd, this utility model extracts personality of the driver on behavioral indicator by self-adapting detecting system, effectively solves
Impact of the driver individual difference of having determined to testing result.
4th, this utility model be by setting up multinomial Logistic models realize be classified phonetic warning prompting, to drive anger
Anger probability of happening come to driver indignation state judge, model set up after carried out a series of real vehicle driver trainings comes to return
Analysis is returned repeatedly to be fitted and verified, method is novel and has science, accurately can carry out in real time to driver's indignation state
Judge.
5th, the diversity and its shadow to driving safety when this utility model considers that indignation drives between different driving behaviors
The degree of sound, phonetic warning when indignation is driven are divided into two ranks of height, the trigger level when slight indignation occurs in driver
Relatively low first kind early warning, occurs rank higher Equations of The Second Kind early warning is provided during the larger angry driving behavior of intensity, this point
The mode of level early warning is gradually strengthened, progressive, it is easier to allow driver to receive, more hommization, and angry driving behavior is had
Ideal intervention effect.
6th, phonetic warning of the present utility model can carry out personalized recording, and it is fixed to be carried out according to the different demands of client
System, phonetic warning content meet the driving habit of driver and provide maximally effective alerting pattern for different drivers, have
Stronger specific aim.
7. this utility model is done to driver's emotion on the premise of angry emotion has occurred in driver in time
In advance, suppress the intensification of driver's negative emotions, with real-time and ageing.
Description of the drawings
Fig. 1 is the automobile indignation driver behavior modeling based on drive automatically people's characteristic of the present utility model and tampering devic
Structure principle chart.
Label in figure：1. vehicle blow a whistle 2. steering wheel operation monitoring system of monitoring system, 3. acceleration change monitoring
4. sound monitoring system of system, 5. self-adapting detecting system, 6. onboard system 7. drives angry Emotion identification system 8.
Warning system
Fig. 2 is angry driver behavior modeling of the present utility model and intervention early warning flow chart.
Specific embodiment
Below embodiment of the present utility model is described in detail, the present embodiment with technical solutions of the utility model is being
Under the premise of implemented, give detailed embodiment and specific operating process, but protection domain of the present utility model be not
It is limited to following embodiments.Based on the embodiment in this utility model, those of ordinary skill in the art are not making creativeness
The all other embodiment obtained under the premise of work, belongs to the scope of this utility model protection.
As shown in figure 1, a kind of automobile indignation driver behavior modeling and tampering devic based on drive automatically people's characteristic, bag
Include loudspeaker key sensor vehicle to blow a whistle monitoring system 1, steering wheel operation monitoring system 2, acceleration change monitoring system 3, sound
Sound monitoring system 4, onboard system 5, self-adapting detecting system 6, the angry Emotion identification system 7 of driving and phonetic warning prompting system
System 8.Its input is connected with loudspeaker key sensor, steering wheel angle sensor, 3-axis acceleration sensor and sound sensor
Device, mobile unit, outfan are connected with phonetic warning device；Loudspeaker key sensor is located at the thin film below loudspeaker key center and presses
Key, for detecting that touching for car horn is touched by duration by the frequency and single；Steering wheel angle sensor turns positioned at vehicle steering
Axle position on the lower, for detecting the velocity of rotation size of vehicle steering, holding power transducer is installed on surface of steering wheel, is used for
Monitoring direction disk grip size；3-axis acceleration sensor is located at below driver seat, for detecting vehicle body acceleration size；
Sound transducer is distributed on the inside of the car door of driver's cabin side, at the top of driver's cabin and vehicle steering middle, for detecting
Drive indoor noise level；The speaker that phonetic alarm is carried for automobile.
Self-adapting detecting system and the angry Emotion identification system of driving belong to processor part, and self-adapting detecting system exists
Extract in the personality of driver's behavioral indicator, driver personality difference is considered into angry emotion monitoring, reduction is driven
Sail impact of the individual human diversity to testing result.Angry Emotion identification system is driven by driver training and model is repeated
Checking, generation can be used to drive the Logistic models that angry state grade judges, when the driver is in normal condition, will
Alarm is not triggered；When driver is in slight indignation, processor carries out first order phonetic warning by phonetic alarm is triggered,
And carry out music of releiving；When driver is in severe indignation, processor carries out second level language by phonetic alarm is triggered
Sound early warning.
First order phonetic warning and the phonetic warning that second level phonetic warning is two kinds of ranks, and second level phonetic warning
It is superior to the rank of first order phonetic warning.The particular content of the first kind and Equations of The Second Kind phonetic warning can carry out personalized record
System.
It is as follows with the specific implementation process for intervening early warning for angry driver behavior modeling of the present utility model：
With reference to Fig. 1, Fig. 2, driver when having just enter into driver's cabin and proceeding by vehicle drive, in general now driver
State be the monitoring system of blowing a whistle of vehicle, steering wheel operation monitoring system, acceleration change monitoring system in normal emotion
Driver's behavior that the sensor that system, sound monitoring system and mobile unit possess can be gathered under the normal emotion of driver refers to
Mark, and by extracting personality of the driver on behavioral indicator setting up self-adapting detecting model.When driver is in
When continuing driving condition, self-adapting detecting model has built up and constantly carries out model checking, on this basis using collection
Behavioral indicator set up multinomial Logistic theoretical models, so as to different drivers indignation state specifically recognized, most
After will determine that result conveys to phonetic alarm, when the driver be in normal condition when, alarm will not be triggered；Work as driver
In it is slight angry when, processor will trigger phonetic alarm and carry out first order phonetic warning the music releived of broadcasting, this time
Early warning is reminding effect；When driver is in severe indignation, processor will trigger phonetic alarm, and to carry out second level voice pre-
Alert, this time early warning has certain advising and warning function.And when driver's indignation emotion is constantly strengthened, driver can connect successively
By phonetic warning intervention twice, intervention effect is constantly strengthened.
The universal operation behavior showed when being driven based on motorist indignation by this utility model, is rung by vehicle
Flute monitoring system, steering wheel operation monitoring system, acceleration change monitoring system, sound monitoring system and onboard system are to driving
Expression behavior when the indignation of people drives carries out more comprehensive real-time monitoring, is just extracting driver by self-adapting detecting system
Often traveling personality of the driver on behavioral indicator, the angry self-adapting detecting model of foundation driving, drive individual for eliminating
Impact of the body diversity to angry condition adjudgement, by the driving indignation Emotion identification system based on multinomial Logistic models
System judges the angry grade of driver, with very strong novelty.Additionally, be also directed to the different degrees of indignation of different drivers driving
Behavior is sailed, the phonetic warning with the different stage for adapting to personal characteristics is provided by warning system, is driven in accurate measurements
Sail behavior and Real time identification driver indignation state while be unlikely to again to interfere the normal driving of driver, with compared with
Strong practicality.
Claims (2)
1. the angry driver behavior modeling and tampering devic based on drive automatically people's characteristic, it is characterised in that：Ring including vehicle
Flute monitoring system, steering wheel operation monitoring system, acceleration change monitoring system, sound monitoring system, onboard system, self adaptation
Detecting system, the angry Emotion identification system of driving and warning system, wherein：
Described vehicle monitoring system of blowing a whistle is made up of loudspeaker key sensor；
Described steering wheel operation monitoring system is passed by the steering wheel angle sensor and grip on steering wheel in automobile
Sensor is constituted；
Described acceleration change monitoring system is made up of the 3-axis acceleration sensor in automobile；
Described sound monitoring system is made up of the sound transducer in car steering room；
Described onboard system includes the drive recorder and GPS of automobile；
Described self-adapting detecting system is made up of single-chip microcomputer, the vehicle blow a whistle monitoring system, steering wheel operation monitoring system,
Acceleration change monitoring system, sound monitoring system, onboard system are respectively connected to the single-chip microcomputer of self-adapting detecting system；
Described driving indignation Emotion identification system is made up of single-chip microcomputer；
Described warning system is the voice alarm circuit system being made up of single-chip microcomputer, plays including SD card, LED and refers to
Show lamp and horn interface.
2. the angry driver behavior modeling and tampering devic based on drive automatically people's characteristic according to claim 1, its
It is characterised by：The particular content of described voice alarm circuit system can carry out personalized recording, with MP3 phonetic warning moulds
Block reads the personalized audio record for prestoring or the music releived in SD card, plays out when driver produces angry emotion.
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| CN201621033614.0U CN206049658U (en) | 2016-08-31 | 2016-08-31 | Angry driver behavior modeling and tampering devic based on drive automatically people's characteristic |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106803423A (en) * | 2016-12-27 | 2017-06-06 | 智车优行科技（北京）有限公司 | Man-machine interaction sound control method, device and vehicle based on user emotion state |
| CN109263578A (en) * | 2018-10-17 | 2019-01-25 | 汉纳森（厦门）数据股份有限公司 | Safe driving of vehicle method, medium and device |
| CN112550145A (en) * | 2020-11-25 | 2021-03-26 | 国家电网有限公司 | Engineering vehicle fatigue driving intervention system |
| CN114043990A (en) * | 2021-12-15 | 2022-02-15 | 吉林大学 | Multi-scene traffic vehicle driving state analysis system and method considering auditory information |
-
2016
- 2016-08-31 CN CN201621033614.0U patent/CN206049658U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106803423A (en) * | 2016-12-27 | 2017-06-06 | 智车优行科技（北京）有限公司 | Man-machine interaction sound control method, device and vehicle based on user emotion state |
| CN106803423B (en) * | 2016-12-27 | 2020-09-04 | 智车优行科技（北京）有限公司 | Man-machine interaction voice control method and device based on user emotion state and vehicle |
| CN109263578A (en) * | 2018-10-17 | 2019-01-25 | 汉纳森（厦门）数据股份有限公司 | Safe driving of vehicle method, medium and device |
| CN109263578B (en) * | 2018-10-17 | 2020-07-07 | 汉纳森（厦门）数据股份有限公司 | Vehicle safe driving method, medium and device |
| CN112550145A (en) * | 2020-11-25 | 2021-03-26 | 国家电网有限公司 | Engineering vehicle fatigue driving intervention system |
| CN114043990A (en) * | 2021-12-15 | 2022-02-15 | 吉林大学 | Multi-scene traffic vehicle driving state analysis system and method considering auditory information |
| CN114043990B (en) * | 2021-12-15 | 2023-11-03 | 吉林大学 | Multi-scene traffic vehicle driving state analysis system and method considering auditory information |
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Granted publication date: 20170329 Termination date: 20210831 |