CN1613425A - Method and system for drivers' fatigue prealarming biological identification - Google Patents

Method and system for drivers' fatigue prealarming biological identification Download PDF

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CN1613425A
CN1613425A CN 200410041994 CN200410041994A CN1613425A CN 1613425 A CN1613425 A CN 1613425A CN 200410041994 CN200410041994 CN 200410041994 CN 200410041994 A CN200410041994 A CN 200410041994A CN 1613425 A CN1613425 A CN 1613425A
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signal
driver
biometric
control
method
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CN 200410041994
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宁新宝
陈颖
马小飞
何爱军
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南京大学
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Abstract

A biological recognition method for prewarning the fatigue state of car driver features that the biologic information associated with fatigue, such as face information, cardiac rhythm and cerebroelectric wave, are sampled and then compared with their references to judge if the driver is in fatigue state. Its system is composed of the biologic signal sampling and recognizing unit and alarm unit. Said biolgoic signal sampling and recognizing unit comprises video image sensors, bioelectric information pick-up and signal processor.

Description

司机疲劳预警生物识别的方法和系统 Driver fatigue warning system and biometric method

技术领域 FIELD

本发明涉及一种汽车的自动驾驶控制,尤其是通过生物信号识别司机疲劳对机动车辆的预警系统。 The present invention relates to a vehicle automatic driving control, particularly through biological signal recognition driver fatigue warning system for a motor vehicle.

背景技术 Background technique

涉及汽车自动驾驶系统已经是现有技术,其中利用轴角编码器、力矩电机和动作油缸可以控制方向转角、行车速度和刹车等。 Automotive autopilot system has been the prior art, where the use of rotary encoder, motor torque and angle direction of actuation of the cylinder can be controlled, the driving speed, and brakes. 如中国专利申请98122574.8涉及汽车自动驾驶系统,它采用双目摄像系统可自动收集车前1-200m内路况情报:地面标识、隔离带、防撞护栏、车道标识线识别、路障;机动车辆数量、车道分布、距离、相对速度以及道路标识牌信息。 The Chinese Patent Application No. 98122574.8 relates to automotive automatic driving systems, using a front binocular imaging system can automatically collect the traffic information vehicles 1-200m: ground identification, isolation belt, crash barriers, lane mark recognition, barricades; the number of motor vehicles, lane distribution, distance, relative speed and road signage information. 系统软件自动决策:汽车行驶速度、汽车行进方向和位置、自动超车驾驶、紧急刹车、可以采用闭环系统进行方向盘控制、速度控制。 The system software automatically Decision: vehicle speed, vehicle location and direction of travel, overtaking automatic driving, the emergency brake, the closed-loop system can be used to control the steering wheel, speed control. 它可用于高速公路上的汽车自动驾驶。 It can be used in cars on the highway autopilot.

公路,尤其是高速公路,汽车的速度相当高,以80公里/小时计,时钟“嘀嗒”一秒瞬间,汽车行进20余米。 Highway, especially the speed of the highway, the car is quite high, at 80 km / hour, the clock "tick" one second moment, the car is moving more than 20 meters. 如果在这一瞬间由于司机过度疲劳而打瞌睡时,方向盘失控极易发生事故,造成重大损失,甚至致人于死命。 If at this moment when the driver due to fatigue and doze off, the steering wheel out of control prone to accidents, causing heavy losses, and even cause human doom. 尤其在当今竞争激烈,快节奏的市场经济时代,公路上如何保护司机在这方面的驾驶安全是当务之急的研究课题。 Especially in today's highly competitive, fast-paced era of market economy, how to protect drivers on the road driving safety in this area is a priority of research. 这里研究发明的司机疲劳预警系统就是可自动保护司机在驾驶汽车疲劳有睡意时使之安全驾驶的装置。 Here driver fatigue warning system research to the invention is a device driver can drive safely so that when you are driving fatigue sleepy automatic protection. 列车更是如此,其速度甚至达到近二百公里。 Train even more so, its speed even up to nearly two hundred kilometers. 如因司机疲劳错失信号提示也可能会极为不利的后果。 As a result of driver fatigue might also miss signal suggesting extremely negative consequences.

发明内容 SUMMARY

本发明目的是提供一种通过生物信号提取识别司机的疲劳,从而发出警报(包括车内提醒警报和车辆向外的警报)或直接对机动车辆干预的预警系统。 Object of the present invention to provide a driver fatigue by extracting a biological identification signal, so that an alarm (alarm and reminder alert the vehicle including a vehicle outward) or direct intervention of a motor vehicle warning system.

本发明的目的是这样实现的:司机疲劳预警系统,包括用生物信号提取识别司机的疲劳的装置和警报发出装置构成,生物信号提取识别司机的疲劳的装置包括将红外摄像或摄像提取的面部与睡眠有关信息及实时记录的电生理信息有机结合,输出融合成多参数控制信息以自动控制后车灯、减速和刹车。 Object of the present invention is implemented as follows: driver fatigue warning system, including fatigue means and alarm extracts the identification drivers by the bio-signal issuing device configuration, device fatigue biological signal extracting identifying the driver's face included infrared imaging or imaging extracted with the organic physiological information and information about the real time recording power sleep combined, fused into the output multi-parameter control information to the automatic control lights, deceleration and braking. 视频图像传感器、电生理信息采集器、信号处理器视频图像传感器、电生理信息采集器、信号处理器、警示信号产生器、控制汽车信号输出部分构成。 Video image sensor, the information acquisition electrophysiological signal processor video image sensor, electrophysiological information collector, a signal processor, the warning signal generator, the control signal outputting automobile parts.

司机疲劳预警生物识别的方法,当从生物图像提取瞳孔信号,如变小信号、眼睑信号,如眼睑闭合频率增加、眼睑闭合时间延长、嘴形信号,如哈欠嘴形变大时的信号为主要判断依据,再结合心率变慢、脑电出现慢波等生物信号综合判断司机进入睡眠状态。 Driver fatigue warning biometric identification method, when the extraction of the pupil signal from the biometric image, such as a small signal, eyelid signal, such as eyelid closure frequency increases, eyelid closure prolonged mouth shape signals, signals such as yawn mouth Deformed main Analyzing basis, combined with slow heart rate, EEG slow wave appears biological signal integrated to determine the driver goes to sleep. 从而发出警报和控制汽车信号。 So the car alarm and control signals. 上述判断依据消除时解除上述信号。 Releasing the basis for the determining the erase signal.

在汽车司机疲劳有睡意而尚未失控方向盘时,该控制信息已发出刺激警示信号光声信号(如音乐或警报声),同时后车红灯亮,开始减速。 When the vehicle driver fatigue, drowsiness and loss of control of the steering wheel yet, the control information has been issued a warning signal stimulation photoacoustic signal (such as music or sound alarm), while the red light after the vehicle starts to decelerate. 当汽车司机在刺激信号刺激下睡意消失,前述的一切刺激信号均消失。 When the driver of the car in the stimulation signals to stimulate the drowsiness disappears, all the aforementioned stimulation signal disappeared.

本发明将检测汽车司机驾驶时有睡意时的面部状态(瞳孔大小、眼睑闭合频率、眼睑闭合时间、哈欠嘴形等)、心率、脑电的信息的硬件模块与信号分析处理模块、控制信号模块、警示信号模块构成的设备系统称为司机疲劳预警系统设备系统。 The present invention detects the state where the face sleepy driver drives the car (pupil size, frequency of eyelid closure, eyelid closure time, yawn mouth-shaped, etc.), hardware modules heart rate information EEG signal analysis and processing module, the control signal module , a warning signal device system module is referred to as system device driver fatigue warning system. 只要有类似于本“预警系统”设计方法的设备或装置,均没有超出本发明要求保护的范围。 As long as there is present similar to "Warning System" apparatus, or device design method, all without departing from the scope of the invention as claimed.

本发明的特点是:司机疲劳预警系统构思新颖,将红外摄像提取的面部与睡眠有关信息及实时记录的电生理信息有机结合,采用先进的电子技术和信号处理技术,融合成多参数控制信息以自动控制后车灯、减速和刹车。 Feature of the present invention are: driver fatigue warning system the novel electrophysiological information combination of infrared imaging extracted portion of information sleep and recorded in real time, the use of advanced electronic technology and signal processing technology, integration into multiple parameter control information after the automatic control lights, deceleration and braking. 在汽车司机疲劳有睡意而尚未失控方向盘时,该控制信息已发出刺激警示信号(音乐或警报声),同时后车红灯亮,开始减速。 When the car driver fatigue, drowsiness and yet the steering wheel out of control, the control information has been sent to stimulate warning signal (music or alarm sound), while the red light after the vehicle starts to decelerate. 当汽车司机在刺激信号刺激下睡意消失,前述的一切刺激信号均消失,汽车后车红灯熄,速度恢复正常。 When the driver of the car in the stimulation signal stimulation drowsiness disappears, all the aforementioned stimulation signal disappeared after the car put out the red car, the speed back to normal. 如果司机睡意加深,将要使方向失控的一瞬间,控制信息可使汽车后车灯亮、减速刹车,使汽车很安全的停下来,以保人和汽车的安全。 If the driver drowsiness deepen, will make the loss of directional control of the moment, the control information can bright car headlights, slow down the brakes, the car is very safe stop, to the grantor and car safety.

附图说明 BRIEF DESCRIPTION

图1是本发明司机疲劳预警系统构成框图图2是本发明利用图像处理方法提取睡眠特征参数的流程的软件编程框图图3是本发明利用心电分析方法提取睡眠特征参数的流程图4是本发明利用图像处理方法提取睡眠特征参数的流程图5是本发明利用脑电分析方法提取睡眠特征参数的流程图6是本发明心电数据实时处理与分析的软件流程图7是本发明脑电数据实时处理与分析的软件流程具体实施方式本“预警系统”设备由红外摄像头、视频图像传感器、电生理信息采集器、信号处理器、警示信号产生器、控制汽车信号输出部分等组成,如图1所示框图。 FIG 1 is a driver fatigue warning system according to the present invention, FIG 2 is a block diagram of the present invention using the image processing method of extracting characteristic parameters of the sleep software programming a block diagram of the flow of FIG. 3 is a flowchart of sleep using the characteristic parameters of ECG analysis method of the present invention is extracted four flowchart invention using the image processing method of extracting characteristic parameters of the sleep 5 is a flowchart of extraction of characteristic parameters using EEG sleep analysis method of the present invention is 6 ECG data in real-time processing and analysis of the software of the present invention 7 is a flowchart of the present invention, EEG data real-time processing and analysis software process of the present embodiment DETAILED DESCRIPTION "warning system" device by the infrared camera, a video image sensor, electrophysiological information collector, a signal processor, the warning signal generator, the control signal outputting automobile parts and other components, FIG. 1 block diagram shown in FIG.

1、本“预警系统”设备的发明思路将检测汽车司机驾驶有睡意时的面部状态(瞳孔大小、眼睑闭合频率、眼睑闭合时间、哈欠嘴形等)、心率、脑电的信息的硬件模块与信号分析处理模块、控制信号模块、警示信号模块构成的设备系统称为司机疲劳预警系统设备系统。 1, the idea of ​​the present invention "early warning system" device state detection portion motorist driving drowsiness (pupil size, frequency of eyelid closure, eyelid closure time, yawn mouth-shaped, etc.), hardware modules heart rate, EEG information and signal analysis module, the module control signal, the system equipment module is referred to as a warning signal warning system device driver fatigue system. 只要有类似于本“预警系统”设计思路的设备或装置,均没有超出本发明的保护范围。 As long as this is similar to an "early warning system" means a device or design ideas are not beyond the scope of the present invention.

2、本“预警系统”分析处理软件发明实施例(1)面部状态参数分析由红外摄像头摄像(亦可由普通摄像),通过视频图像传感器获取的面部图像数据信息,采用图像处理技术提取有睡意的特征信息参数:瞳孔大小,眼睑闭合频率、程度及时间,打哈欠频率以及持续时间等。 2, the "warning system" Analysis Example (1) surface state parameters analyzed by the infrared camera imaging (also by the normal imaging), acquired by the video image sensor face image data using image processing software to the invention extracted with a sleepy characteristic information parameters: the size of the pupil, eyelid closure frequency, extent and time, frequency, and duration yawning. 软件编程框图如图2所示,利用图像处理方法提取睡眠特征参数的流程。 Programming software block diagram shown in Figure 2, the sleep extracted characteristic parameters by the image processing method of flow. 序列图像特征处理睡眠特征参数提取。 The image processing sequence wherein the sleep feature extraction. 瞳孔大小,眼睑闭合频率、程度及时间,打哈欠频率以及持续时间与正常时相比瞳孔变小,眼睑闭合频率增高、时间延长,打哈欠频率增高以及持续了一段时间均作为发出睡眠警报的依据。 Pupil size, eyelid closure frequency, extent and time, yawning frequency and duration of the pupil smaller when compared with normal, increased frequency of eyelid closure, prolonged yawn frequency increases and for some time were sleeping as the basis for issuing alerts .

(2)电生理信息参数通过心电检测模块检测有睡意时间的心电(与无睡意时的心电比较而得),该有睡意时的心电应有变化但其值因人而异。 (2) detecting electrophysiological parameters of the ECG information drowsiness detection time by ECG module (no sleep when comparing the obtained ECG), ECG changes due to the sleepy but its value varies. 因此在驾驶员正常状态驾驶时应取得他的正常心电参数,随后的心电参数均与它比较。 So get his normal ECG parameters in normal driving the driver should be followed by ECG parameters were compared with it. 软件编程框图如图3所示。 Programming software block diagram shown in Fig. 心电参数的获取用常规心电图信号提取方式或高频心电图信号提取方式。 ECG parameters ECG signal acquired by extracting high frequency ECG signal extraction means or manner. 如图6心电数据实时处理与分析的软件流程(3)脑电信息参数通过脑电检测模块检测脑电波数据李分析其频率,当有睡意时,脑电波出现θ波(4~8Hz),编程框图如图5所示。 FIG 6 ECG data in real-time processing and analysis software process (3) Analysis of brain-wave data Lee EEG frequency information detected by the parameter detecting EEG module, when sleepy, brain waves appear θ wave (4 ~ 8Hz), programming block diagram shown in Figure 5.

实时处理分析程序流程如图7所示。 Real-time processing and analysis program flow shown in FIG. 7. 图7脑电数据实时处理与分析的软件流程中,在这里,采取了二次采样。 7 EEG real-time data processing and analysis software process, here, take a second sample. 因为只需要30Hz以下频段的信号,而第一次以1000Hz采样率进行采样,为了更好地恢复被采样信号,又不产生过多冗余数据,故进行低通滤波后再以100Hz进行再抽样。 Because only the signal frequency of 30Hz, and the first sampling at 1000Hz sample rate, in order to better recover the sampled signal, without excessive redundant data, it is then low pass filtered at 100Hz for resampling . 脑电参数的获取用常规方式。 EEG acquisition parameters in a conventional manner.

3、各参数有机结合,综合鉴别以面部参数为主,有机结合电生理参数,敏感的综合鉴别睡意有否。 3, each combination of parameters, the integrated authentication parameters to the main face, and electrophysiological parameters of the organic sensitive Synthetic Discriminant whether drowsiness. 是本发明的主要内容。 It is the main content of the present invention.

对刹车和灯光的控制采取的方法是:自动液压油缸,根据刹车与后部刹车灯的连动情况,亦能自动控制后部灯光,车内报警器为常用的光电声音报警器。 A method of controlling the brake and lighting is taken: automatic hydraulic cylinders, according to the case where the interlocking brake and the rear brake lights, rear lights can also automatically controlled, the vehicle used as a photoelectric alarm audible alarm.

生物图像提取识别装置检测汽车司机驾驶时有睡意时,瞳孔变小、眼睑闭合频率增加、眼睑闭合时间延长、哈欠嘴形变大时为主要判断依据,再结合心率变慢、脑电出现慢波等生物信号综合判断司机进入睡眠状态。 Extracting biometric image recognition detecting means while driving the car driver drowsiness when the pupil becomes smaller, increasing the frequency of eyelid closure, prolonged eyelid closure, it is determined mainly based on large deformation yawn mouth, combined with slow heart rate, EEG slow-wave appears like bio-signal integrated to determine the driver goes to sleep. 从而发出警报和控制汽车信号。 So the car alarm and control signals. 上述判断依据消除时解除上述信号。 Releasing the basis for the determining the erase signal.

生物图像提取识别装置一般是在与正常精神状态时给定一生物图像:如瞳孔、眼睑闭合频率、眼睑闭合时间、哈欠嘴形,当监测识别时,生物指标比正常状态的差别至一定范围,如20%以上时发出信号。 Biological image extracting recognition apparatus typically during a normal mental status given a biometric image: As the pupil, eyelid closure frequency, eyelid closure time, yawn mouth shape, when monitoring identification, biometric difference [normal state to a certain range, The signal when more than 20%.

Claims (9)

1.司机疲劳预警系统,其特征是包括用提取识别司机的疲劳的生物信号装置和警报发出装置构成,生物信号提取识别司机的疲劳的装置包括将红外摄像提取的面部与睡眠有关信息及实时记录的电生理信息有机结合,输出融合成多参数控制信息以自动控制后车灯、减速和刹车;生物信号提取识别装置包括视频图像传感器、电生理信息采集器、信号处理器,视频图像传感器、电生理信息采集器、信号处理器经微处理器输出至警示信号产生器和控制汽车信号输出。 1. driver fatigue warning system, characterized by comprising a driver's fatigue identified by extracting a biological signal means and alarm issuing means configured, the biological signal extracting means fatigue driver identification information comprises a face with a real-time recording of sleep and infrared imaging extracted the combination of electrophysiological information, integration into the output multi-parameter control information to the automatic control lights, deceleration and braking; biological recognition signal extracting means comprises a video image sensor, the information acquisition electrophysiological signal processor, a video image sensor, electrically physiological information acquisition, the microprocessor outputs a signal processor to generate a warning signal and a control signal output cars.
2.如权利要求1所述的司机疲劳预警系统,其特征是警示信号产生器产生声光警示信号,控制汽车信号输出为后车红灯亮信号和减速信号。 2. The driver fatigue warning system according to claim 1, characterized in that the signal generator generates a warning sound and light alarm signal, a control signal is output to the automotive vehicle deceleration signal and the red light signal.
3.司机疲劳预警生物识别的方法,其特征是从生物图像提取眼睑信号闭合频率和眼睑闭合时间信号,并与正常状态比较后判断司机进入睡眠状态,从而发出警报和控制汽车信号。 3. driver fatigue warning biometric method, wherein signals extracted from the biometric image eyelid closing and eyelid closure frequency time signal, and comparison with the normal state is determined after the driver enters the sleep state, so that cars and a control alarm signal.
4.如权利要求3所述的司机疲劳预警生物识别的方法,其特征是从生物图像提取瞳孔信号,并与正常状态比较后判断司机进入睡眠状态,从而发出警报和控制汽车信号。 4. The method of driver fatigue warning biometric according to claim 3, characterized in that the signal extracted from the biometric image of the pupil, and the comparison with the normal state is determined after the driver sleep, so that cars and a control alarm signal.
5.如权利要求3所述的司机疲劳预警生物识别的方法,其特征是从生物图像提取哈欠嘴形变大时信号,并与正常状态比较后判断司机进入睡眠状态,从而发出警报和控制汽车信号。 5. The method of driver fatigue warning biometric according to claim 3, characterized in that the extraction nozzle when the yawn large deformation signals from biometric image, and comparing the normal state is determined after the driver sleep, and thereby control the car alarm signal .
6.如权利要求3或4所述的司机疲劳预警生物识别的方法,其特征是结合心率变慢、脑电出现慢波等生物信号,并与正常状态比较后判断司机进入睡眠状态,从而发出警报和控制汽车信号。 6. The method of driver fatigue warning biometric 3 or claim 4, characterized in that the binding slow heart rate, EEG slow-wave occurs biological signal, after comparison with the normal state is determined driver sleep, thereby emitting car alarm and control signals.
7.如权利要求3所述的司机疲劳预警生物识别的方法,其特征是生物图像提取识别在与正常状态比较后差别至20%以上时发出信号。 7. The method of driver fatigue warning biometric according to claim 3, characterized in that the extracted biometric image identification signal when the difference between the normal state after comparison to more than 20%.
8.如权利要求3所述的司机疲劳预警生物识别的方法,其特征是睡眠状态判断依据消除时解除上述信号。 8. The method of driver fatigue warning biometric according to claim 3, wherein said signal releasing the sleep state is determined according to eliminate.
9.如权利要求3或4所述的司机疲劳预警生物识别的方法,其特征是眼睑信号是眼脸闭合频率和眼睑闭合时间信号。 The method of biometric identification of driver fatigue warning as claimed in claim 3 or 4, characterized in that the signal is eyelids closed eyelid and eyelid closure frequency time signal.
CN 200410041994 2004-09-15 2004-09-15 Method and system for drivers' fatigue prealarming biological identification CN1613425A (en)

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Cited By (31)

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CN100462046C (en) * 2007-04-16 2009-02-18 孙军 Online early warning system and method of weariness working
CN101822537A (en) * 2009-03-07 2010-09-08 深圳富泰宏精密工业有限公司 Warning device and warning method thereof
CN101596101B (en) * 2009-07-13 2011-03-23 北京工业大学 Method for determining fatigue state according to electroencephalogram
CN101565036B (en) * 2008-04-21 2011-04-27 上海汽车集团股份有限公司 Method for preventing fatigue driving
US20110124979A1 (en) * 2007-08-21 2011-05-26 Conor Heneghan Method and system for monitoring sleep
CN102098955A (en) * 2008-05-28 2011-06-15 有效调控运输公司 Method and device for the detection of microsleep events
CN102131461A (en) * 2008-09-01 2011-07-20 丰田自动车株式会社 Sleep determination device and sleep determination method
CN101670831B (en) * 2009-09-25 2011-08-03 马援 Vehicle driver anti-drowsy automatic emergency stop device
CN102341811A (en) * 2009-03-06 2012-02-01 皇家飞利浦电子股份有限公司 Method of controlling function of device and system for detecting presence of living being
CN101224113B (en) * 2008-02-04 2012-02-29 电子科技大学 Method for monitoring vehicle drivers status and system thereof
CN101266647B (en) * 2007-03-15 2012-09-26 爱信精机株式会社 Eyelid detection apparatus, eyelid detection method and program thereof
CN101320523B (en) * 2007-06-08 2013-10-30 沙乐工程公司 Train travelling simulation system
CN103507809A (en) * 2013-09-27 2014-01-15 奇瑞汽车股份有限公司 Method and device for controlling vehicle to run
US8634591B2 (en) 2009-08-20 2014-01-21 Koninklijke Philips N.V. Method and system for image analysis
CN103714660A (en) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic
US8805019B2 (en) 2009-03-06 2014-08-12 Koninklijke Philips N.V. Processing images of at least one living being
CN104083160A (en) * 2014-06-30 2014-10-08 天津大学 Sleep state monitoring method and device based on machine vision
CN104477113A (en) * 2014-12-22 2015-04-01 联想(北京)有限公司 Control method, system and automobile
US9025826B2 (en) 2009-10-06 2015-05-05 Koninklijkle Philips N.V. Formation of a time-varying signal representative of at least variations in a value based on pixel values
CN104768309A (en) * 2015-04-23 2015-07-08 天脉聚源(北京)传媒科技有限公司 Method and device for regulating lamplight according to emotion of user
CN104783817A (en) * 2015-04-16 2015-07-22 杨燕 Double-mode detection platform for driving state of automobile driver
CN105792732A (en) * 2013-11-22 2016-07-20 皇家飞利浦有限公司 Apnea safety control
CN105946825A (en) * 2016-05-09 2016-09-21 安徽机电职业技术学院 Vehicle-mounted intelligent emergency braking system
CN106184159A (en) * 2016-07-16 2016-12-07 柳州三木科技有限公司 A kind of bus safety control system with detection fatigue strength
CN106236047A (en) * 2016-09-05 2016-12-21 合肥飞鸟信息技术有限公司 The control method of driver fatigue monitoring system
CN106462675A (en) * 2014-06-12 2017-02-22 日立麦克赛尔株式会社 Information processing device, application software start-up system, and application software start-up method
CN106687026A (en) * 2014-05-12 2017-05-17 汽车技术国际公司 Driver health and fatigue monitoring system and method
CN106687037A (en) * 2014-06-20 2017-05-17 弗劳恩霍夫应用研究促进协会 Device, method, and computer program for detecting momentary sleep
CN107015489A (en) * 2016-01-28 2017-08-04 长城汽车股份有限公司 The brake control method and system of vehicle
CN107038433A (en) * 2017-05-15 2017-08-11 柳州译海网络科技有限公司 A kind of fingerprint speech recognition weariness working warning device
CN108877150A (en) * 2018-07-05 2018-11-23 张屹然 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number

Cited By (44)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101266647B (en) * 2007-03-15 2012-09-26 爱信精机株式会社 Eyelid detection apparatus, eyelid detection method and program thereof
CN100462046C (en) * 2007-04-16 2009-02-18 孙军 Online early warning system and method of weariness working
CN101320523B (en) * 2007-06-08 2013-10-30 沙乐工程公司 Train travelling simulation system
US10154790B2 (en) * 2007-08-21 2018-12-18 University College Dublin, National University Of Ireland Method and system for monitoring sleep
US20110124979A1 (en) * 2007-08-21 2011-05-26 Conor Heneghan Method and system for monitoring sleep
CN101224113B (en) * 2008-02-04 2012-02-29 电子科技大学 Method for monitoring vehicle drivers status and system thereof
CN101565036B (en) * 2008-04-21 2011-04-27 上海汽车集团股份有限公司 Method for preventing fatigue driving
CN102098955B (en) * 2008-05-28 2015-07-15 7352867加拿大公司 Method and device for the detection of microsleep events
CN102098955A (en) * 2008-05-28 2011-06-15 有效调控运输公司 Method and device for the detection of microsleep events
CN102131461B (en) * 2008-09-01 2013-05-29 丰田自动车株式会社 Sleep determination device and sleep determination method
CN102131461A (en) * 2008-09-01 2011-07-20 丰田自动车株式会社 Sleep determination device and sleep determination method
US8594774B2 (en) 2008-09-01 2013-11-26 Toyota Jidosha Kabushiki Kaisha Sleep determination device and sleep determination method
CN102341811A (en) * 2009-03-06 2012-02-01 皇家飞利浦电子股份有限公司 Method of controlling function of device and system for detecting presence of living being
US8805019B2 (en) 2009-03-06 2014-08-12 Koninklijke Philips N.V. Processing images of at least one living being
US8818041B2 (en) 2009-03-06 2014-08-26 Koninklijke Philips N.V. Method of controlling a function of a device and system for detecting the presence of a living being
CN102341811B (en) * 2009-03-06 2015-04-29 皇家飞利浦电子股份有限公司 Method of controlling function of device and system for detecting presence of living being
CN101822537A (en) * 2009-03-07 2010-09-08 深圳富泰宏精密工业有限公司 Warning device and warning method thereof
CN101596101B (en) * 2009-07-13 2011-03-23 北京工业大学 Method for determining fatigue state according to electroencephalogram
US8634591B2 (en) 2009-08-20 2014-01-21 Koninklijke Philips N.V. Method and system for image analysis
CN101670831B (en) * 2009-09-25 2011-08-03 马援 Vehicle driver anti-drowsy automatic emergency stop device
US9025826B2 (en) 2009-10-06 2015-05-05 Koninklijkle Philips N.V. Formation of a time-varying signal representative of at least variations in a value based on pixel values
CN103507809B (en) * 2013-09-27 2016-05-18 奇瑞汽车股份有限公司 A kind of method and apparatus of controlling Vehicle Driving Cycle
CN103507809A (en) * 2013-09-27 2014-01-15 奇瑞汽车股份有限公司 Method and device for controlling vehicle to run
CN105792732A (en) * 2013-11-22 2016-07-20 皇家飞利浦有限公司 Apnea safety control
CN103714660B (en) * 2013-12-26 2017-02-08 苏州清研微视电子科技有限公司 System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic
CN103714660A (en) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 System for achieving fatigue driving judgment on basis of image processing and fusion between heart rate characteristic and expression characteristic
CN106687026A (en) * 2014-05-12 2017-05-17 汽车技术国际公司 Driver health and fatigue monitoring system and method
CN106462675A (en) * 2014-06-12 2017-02-22 日立麦克赛尔株式会社 Information processing device, application software start-up system, and application software start-up method
US10423769B2 (en) 2014-06-12 2019-09-24 Maxell, Ltd. Information processing device, application software start-up system, and application software start-up method
CN106462675B (en) * 2014-06-12 2019-09-03 麦克赛尔株式会社 Information processing unit, application software initiated system and application software initiated method
CN106687037A (en) * 2014-06-20 2017-05-17 弗劳恩霍夫应用研究促进协会 Device, method, and computer program for detecting momentary sleep
CN106687037B (en) * 2014-06-20 2019-11-19 弗劳恩霍夫应用研究促进协会 For detecting the equipment instantaneously slept, method and computer program
CN104083160A (en) * 2014-06-30 2014-10-08 天津大学 Sleep state monitoring method and device based on machine vision
CN104477113A (en) * 2014-12-22 2015-04-01 联想(北京)有限公司 Control method, system and automobile
CN105030258A (en) * 2015-04-16 2015-11-11 杨燕 Double-mode automobile driver driving state detection platform
CN104783817A (en) * 2015-04-16 2015-07-22 杨燕 Double-mode detection platform for driving state of automobile driver
CN104783817B (en) * 2015-04-16 2016-08-24 深圳市索菱实业股份有限公司 Double mode driver's driving condition detection platform
CN104768309A (en) * 2015-04-23 2015-07-08 天脉聚源(北京)传媒科技有限公司 Method and device for regulating lamplight according to emotion of user
CN107015489A (en) * 2016-01-28 2017-08-04 长城汽车股份有限公司 The brake control method and system of vehicle
CN105946825A (en) * 2016-05-09 2016-09-21 安徽机电职业技术学院 Vehicle-mounted intelligent emergency braking system
CN106184159A (en) * 2016-07-16 2016-12-07 柳州三木科技有限公司 A kind of bus safety control system with detection fatigue strength
CN106236047A (en) * 2016-09-05 2016-12-21 合肥飞鸟信息技术有限公司 The control method of driver fatigue monitoring system
CN107038433A (en) * 2017-05-15 2017-08-11 柳州译海网络科技有限公司 A kind of fingerprint speech recognition weariness working warning device
CN108877150A (en) * 2018-07-05 2018-11-23 张屹然 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number

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