CN103932719A - Fatigue driving detecting technology - Google Patents
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- CN103932719A CN103932719A CN201310018333.2A CN201310018333A CN103932719A CN 103932719 A CN103932719 A CN 103932719A CN 201310018333 A CN201310018333 A CN 201310018333A CN 103932719 A CN103932719 A CN 103932719A
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Abstract
The invention provides a technology for comprehensively detecting the degree of fatigue of a driver through human body pulse information and electroencephalogram information. When the driver is in a fatigue or scatterbrained state, an alarm is given by means of voice and the like, the vehicle speed is forcibly controlled according to the degrees of fatigue and attention concentration, and the driver is reminded to take a rest and prevented from fatigue driving for a long time. In the travelling process, the electroencephalogram information and the pulse information are collected in real time through an electroencephalogram collecting device and a wireless pulse collecting device and processed to judge the mental state of the driver, and whether alarm is needed or not is judged according to the mental state, meanwhile, after attention is lower than a feature threshold value for a period of time, the driver is reminded to focus attention, if the degree of attention concentration is still lower than the threshold value, vehicles behind are informed, the vehicle of fatigue driving is automatically decelerated or even forced to stop, and then fatigue driving is prevented. The method is a brand new detection and control technology which detects the degrees of fatigue and attention concentration of the driver through physiological and psychological information of the human body.
Description
Technical field
The present invention proposes a kind of new method that prevents fatigue driving.By human pulse information and comprehensive tired driver degree and the attention intensity of detecting in real time of brain electric information, when driver is in tired or absent minded state, utilize the means such as voice to report to the police, and according to fatigue state and attention intensity restricted speed, remind driver to have a rest, prevent fatigue driving.
Background technology
Fatigue driving and absent minded be a key factor that causes vehicle accident, the statistical data of Japan shows, the tired accident producing account for total rise say 1 ~ 1.5%.France national police general administration accident report shows, because of the traffic accident that fatigue doze occurs, accounts for 14.9% of personal injury accident, accounts for 20.6% of death by accident.According to the ASSOCIATE STATISTICS of national communication department, the vehicle accident that fatigue driving causes accounts for total 20% left and right of playing number, accounts for the more than 40% of especially big vehicle accident.Fatigue driving is definitely No.1 killer, causes every year hundreds of thousands of them's death and disability, for countless families bring great pain, causes huge economic loss.At present fatigue detection method and evaluation means, due to actual environment more complicated, are difficult to meet actual needs, both at home and abroad to driver's fatigue driving detection and alarm device also in laboratory stage.The present invention detects fatigue driving and reports to the police according to Human Physiology index, according to attention restricted speed, and then prevents fatigue driving, reduces the generation of vehicle accident.
Along with economic development and living standards of the people improve, vehicle is more and more, and people's trip is more frequent.When driving, can there is unnumbered contradiction with other vehicles, pedestrian in driver, driver is necessary to be found in time, judgement rapidly, and reasonable operation, just can guarantee the smooth and safety of driving a vehicle.The head driver time is sitting on fixing seat, and action is subject to certain limitation, is busy with judging the inside and outside stimulus information of car, and mental status high-pressure, easily causes fatigue.So-called fatigue driving, refers to that driver is in driving, changes, and objectively occurring driving the low phenomenon of function because driving operation makes to occur on physiology or psychologically certain.No matter be produce tired of the fatigue that produces of physiological reason or psychological causes or both are in conjunction with the fatigue producing, capital makes driver's physically-draining, absent minded, the dimness of vision, bradykinesia, be out of one's reckoning, drive dumb, misoperation etc., drive long-time fatigue and finally may cause and can not find in time dangerous situation, incur loss through delay the opportunity of taking the measure of dodging, vehicle accident finally occurs.Have the even sleepy drowsiness of driver, vehicle is out of hand, just like " unmanned ", its consequence is well imagined.
According to Traditional Chinese medical theory, " impairment of blood by looking for a long time, excessive rest on bed impairing QI, prolonged sitting injuring the muscles, prolonged standing injuring bones, prolonged walking injuring tendons ", " therefore soul is loose for refreshing labor, will meaning is disorderly ".When human body psychology and physiological status produce tired time, must cause heart and a series of variations that are different under health status of blood circulation generation.Modern study of pulse condition confirms, the formation of pulse condition, depend primarily on the function of heart, the quality and quantity of the function of blood vessel, blood, so pulse wave signal comprises abundant Human Physiology information, so physiological change during human-body fatigue will be reacted directly or indirectly on human pulse ripple signal.For example, also can cause visual fatigue for a long time with eye, after visual fatigue, pulse attenuates, and the peak-to-peak value that is pulse wave diminishes, therefore pulse wave can be the characteristic index of reflection visual fatigue state.Driver's pulse signal that sensor acquisition is obtained is analyzed, extract the feature of pulsation ripple under normal condition and fatigue state, construct the characteristic vector that can react driver fatigue state, thereby can carry out Real-Time Monitoring to driver's degree of fatigue, to it, whether differentiation is made in fatigue driving, avoids the generation of the vehicle accident that causes due to fatigue driving.
EEG signal is the summation of the extracellular field potential (extra-cellular field potential) that causes of postsynaptic potential in a large amount of neuron discharge activities (postsynaptic potential), and in EEG, the generation of the wavy rhythm and pace of moving things is the synchronous result of providing of colony's neuron.The rhythm and pace of moving things of brain electricity and the amplitude of each rhythm and pace of moving things thereof and emotion, attention etc. have close contacting.β ripple, frequency is 15-35Hz, amplitude 5-20 μ V is quiet, only at frontal lobe, occur while closing order, when opening eyes depending on thing or accepting other and stimulate, at other cortex position, also occurs, represents that cerebral cortex is excited; θ ripple, frequency is 4-7Hz, amplitude is 100-150 μ V, when sleepy, occurs, be the performance of central nervous system's inhibitory state; α ripple, frequency is 8-13Hz, amplitude is 20-100 μ V, regain consciousness, loosen, quiet, occur while closing order, opening eyes, ponder a problem or accepting when other stimulates disappears; Sensorimotor rhythm (SMR) (Sensory Motor Rhythm, SMR), frequency is 13-15Hz, loosening all muscles and attention come across sensorimotor area while concentrating, suppress relevant with motion; According to the physiological significance of each rhythm and pace of moving things of brain electricity, θ/β inband energy changes the intensity that can reflect attention.The amplitude of each rhythm and pace of moving things of brain electricity is also relevant with the mental status, as shown in table 1.According to the variation of the amplitude of the rhythm and pace of moving things brain electricity such as θ/β inband energy variation of brain electricity and Theta, Alpha and SMR, can detect in real time driver's fatigue conditions and the intensity of attention, and determine whether report to the police and outwards send deceleration restricted speed according to driver's the mental status.Thereby reduce the incidence rate of fatigue driving or the absent minded vehicle accident causing.
The amplitude of the different rhythm and pace of moving things brain of table 1 electricity and the relation of the mental status
summary of the invention
The object of the invention is to propose the monitoring method of a kind of effective detection tired driver degree and attention intensity.This detection method is utilized the variation of pulse information and brain electricity relevant information, judges driver's mental status, and determines whether report to the police and speed limit, then reduce the generation of vehicle accident, and obtain considerable Social benefit and economic benefit according to driver's the mental status.Its workflow is: when driving, utilize wireless brain wave acquisition device and wireless pulse collection device, Real-time Collection driver's brain electric information and pulse information, and the brain electric information collecting and pulse information are processed, judgement driver's the mental status, then according to the changing condition of the mental status, determine whether and need to report to the police, simultaneously when attention is lower than characteristic threshold value after a period of time, point out driver to focus one's attention on, if attention intensity still can not surpass threshold value, notify below after vehicle, automatically reduce the speed of a motor vehicle, even force to stop, then prevent fatigue driving.The method is a kind of brand-new detection control technology of utilizing Human Physiology psychology to detect tired driver and attention degree.
This patent groundwork step is as follows:
Step1: utilize pulse transducer and eeg collection system to gather respectively pulse signal and EEG signals;
Step2: pulse signal and EEG signals are carried out to filtering, then utilize wireless technology transmission;
Step3: wireless receiving pulse and EEG signals, and pulse signal and EEG signals are carried out to denoising and feature extraction;
Step4: according to proposed Feature Fusion, and judge that according to changing features whether driver is tired;
Step5: tired driver and when absent minded, warning reminding driver has a rest and focuses one's attention on, if degree of fatigue and attention intensity do not improve, car alarming rearwards, and control travel speed.
Its feature of the present invention is: utilize the physical signs of human body accurately to detect in real time driver's degree of fatigue and attention intensity, and can, according to the variation of Human Physiology index pulse information and brain electric information, in real time tired driver degree and attention intensity be reported to the police: when tired driver or the lower alarm of attention intensity; If tired driver or attention intensity can not improve, after system alarm, restriction travel speed, prevents tired driver driving and the absent minded vehicle accident causing effectively.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of tired driver and attention degree detecting technology and warning device thereof.
Claims (3)
1. in a kind of technology based on human pulse information and brain electric information comprehensive detection tired driver degree and monitoring attention intensity, it is characterized in that, comprise the following steps:
Step1: utilize pulse transducer and eeg collection system to gather respectively pulse signal and EEG signals;
Step2: pulse signal and EEG signals are carried out to filtering, then utilize wireless technology transmission;
Step3: wireless receiving pulse and EEG signals, and pulse signal and EEG signals are carried out to denoising and feature extraction;
Step4: according to proposed Feature Fusion, and judge that according to changing features whether driver is tired;
Step5: tired driver and when absent minded, warning reminding driver has a rest and focuses one's attention on, if degree of fatigue and attention intensity do not improve, car alarming rearwards, and control travel speed.
2. a kind of technology based on human pulse information and brain electric information comprehensive detection tired driver degree and monitoring attention intensity according to claim 1, wherein the processing of pulse signal has been extracted the main ripple of pulse signal and the amplitude information of dicrotic pulse prewave and at the energy information of different frequency.
3. according to claim 1 a kind of based on human pulse information and brain electric information comprehensive detection tired driver degree and monitoring attention intensity technology, wherein the processing of EEG signals comprises the following steps:
Step1: utilize low pass filter and high pass filter to leach high-frequency noise and go baseline drift;
Step2: utilize modern signal processing technology to carry out denoising to EEG signals;
Step3: extract θ ripple, α ripple, β ripple in EEG signals, sensorimotor rhythm (SMR) EEG signals.
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| CN105261153A (en) * | 2015-11-03 | 2016-01-20 | 北京奇虎科技有限公司 | Vehicle running monitoring method and device |
| CN105342607A (en) * | 2015-12-17 | 2016-02-24 | 无锡桑尼安科技有限公司 | Detection and alarm method for state of high-speed rail driver |
| CN105361863A (en) * | 2015-12-17 | 2016-03-02 | 无锡桑尼安科技有限公司 | Monitoring system for physiological parameters of fixed-wing aircraft captain |
| CN105411559A (en) * | 2015-12-17 | 2016-03-23 | 无锡桑尼安科技有限公司 | Airplane captain physiological parameter monitoring method |
| CN105496406A (en) * | 2016-01-02 | 2016-04-20 | 无锡桑尼安科技有限公司 | Physiological parameter alarm system |
| CN105496380A (en) * | 2016-01-02 | 2016-04-20 | 无锡桑尼安科技有限公司 | Human body health state judgment device |
| CN105564659A (en) * | 2016-01-02 | 2016-05-11 | 无锡桑尼安科技有限公司 | Spring type emergency alarm device used on plane |
| CN105575053A (en) * | 2016-01-02 | 2016-05-11 | 无锡桑尼安科技有限公司 | Abnormal state analysis method for captain of passenger liner |
| CN105640546A (en) * | 2015-12-31 | 2016-06-08 | 南车株洲电力机车研究所有限公司 | Train safe driving management system |
| CN105640520A (en) * | 2016-01-02 | 2016-06-08 | 无锡桑尼安科技有限公司 | Touch-tone physiological parameter alarm system |
| CN105877766A (en) * | 2016-06-21 | 2016-08-24 | 东北大学 | Mental state detection system and method based on multiple physiological signal fusion |
| CN106859644A (en) * | 2017-03-20 | 2017-06-20 | 重庆大学 | A kind of fatigue driving monitoring system and monitoring method based on brain wave |
| CN107466223A (en) * | 2015-04-09 | 2017-12-12 | 宝马股份公司 | Control for multifunction electronic device |
| CN108778127A (en) * | 2016-02-03 | 2018-11-09 | 东西大学校产学协力团 | Utilize the careless and sloppy degree hypothetical system of unconstrained biological information |
| WO2018232987A1 (en) * | 2017-06-19 | 2018-12-27 | 深圳市盛路物联通讯技术有限公司 | Information interaction method and system triggered by driver emotional instability |
| CN110898384A (en) * | 2019-11-05 | 2020-03-24 | 昆明理工大学 | Running machine based on electroencephalogram control and control method thereof |
| CN111067551A (en) * | 2019-11-29 | 2020-04-28 | 上海工程技术大学 | Multi-functional nurse cap that degree tired out can real-time supervision nurse |
| CN112292081A (en) * | 2018-01-22 | 2021-01-29 | 瑞维安知识产权控股有限责任公司 | Occupant awareness monitoring for autonomous vehicles |
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| CN105640546A (en) * | 2015-12-31 | 2016-06-08 | 南车株洲电力机车研究所有限公司 | Train safe driving management system |
| CN105564659A (en) * | 2016-01-02 | 2016-05-11 | 无锡桑尼安科技有限公司 | Spring type emergency alarm device used on plane |
| CN105575053A (en) * | 2016-01-02 | 2016-05-11 | 无锡桑尼安科技有限公司 | Abnormal state analysis method for captain of passenger liner |
| CN105640520A (en) * | 2016-01-02 | 2016-06-08 | 无锡桑尼安科技有限公司 | Touch-tone physiological parameter alarm system |
| CN105496380A (en) * | 2016-01-02 | 2016-04-20 | 无锡桑尼安科技有限公司 | Human body health state judgment device |
| CN105496406A (en) * | 2016-01-02 | 2016-04-20 | 无锡桑尼安科技有限公司 | Physiological parameter alarm system |
| CN108778127A (en) * | 2016-02-03 | 2018-11-09 | 东西大学校产学协力团 | Utilize the careless and sloppy degree hypothetical system of unconstrained biological information |
| CN108778127B (en) * | 2016-02-03 | 2021-06-04 | 东西大学校产学协力团 | System for estimating degree of diffusion using unconstrained living body information |
| CN105877766A (en) * | 2016-06-21 | 2016-08-24 | 东北大学 | Mental state detection system and method based on multiple physiological signal fusion |
| CN105877766B (en) * | 2016-06-21 | 2019-02-05 | 东北大学 | A mental state detection system and method based on multi-physiological signal fusion |
| CN106859644A (en) * | 2017-03-20 | 2017-06-20 | 重庆大学 | A kind of fatigue driving monitoring system and monitoring method based on brain wave |
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| CN112292081A (en) * | 2018-01-22 | 2021-01-29 | 瑞维安知识产权控股有限责任公司 | Occupant awareness monitoring for autonomous vehicles |
| CN112292081B (en) * | 2018-01-22 | 2024-11-19 | 瑞维安知识产权控股有限责任公司 | Occupant awareness monitoring for autonomous vehicles |
| CN110898384A (en) * | 2019-11-05 | 2020-03-24 | 昆明理工大学 | Running machine based on electroencephalogram control and control method thereof |
| CN111067551A (en) * | 2019-11-29 | 2020-04-28 | 上海工程技术大学 | Multi-functional nurse cap that degree tired out can real-time supervision nurse |
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