CN110728825A - Driver fatigue prevention early warning method and system and terminal equipment - Google Patents
Driver fatigue prevention early warning method and system and terminal equipment Download PDFInfo
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- CN110728825A CN110728825A CN201910940087.3A CN201910940087A CN110728825A CN 110728825 A CN110728825 A CN 110728825A CN 201910940087 A CN201910940087 A CN 201910940087A CN 110728825 A CN110728825 A CN 110728825A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1103—Detecting eye twinkling
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- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/20—Workers
- A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
Abstract
The invention discloses a driver fatigue prevention early warning method, a system and terminal equipment, which are used for acquiring heart rate data and blink frequency of a driver; displaying current heart rate data and blink frequency data of a driver, and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver; comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges, and judging whether the driver is in a fatigue state; and if the driver is in a fatigue state, sending out a warning signal. Through the comprehensive contrastive analysis of the heart rate and the blink frequency, whether the driver is in a fatigue state or not can be directly and rapidly judged, and the driver is reminded, so that traffic accidents are effectively reduced.
Description
Technical Field
The invention belongs to the technical field of monitoring and early warning methods, relates to a driver anti-fatigue early warning method, further relates to a driver anti-fatigue early warning system, and further relates to driver anti-fatigue early warning terminal equipment.
Background
In daily traffic, automobiles account for increasingly higher proportions. Although automobiles can greatly improve the quality of life of people, the problem of safe driving caused by the popularization of automobiles also becomes a problem which people cannot ignore. When a driver is tired of driving, the observation, identification and vehicle control capabilities of the driver are remarkably reduced, and the safety of the driver and the lives of other people are seriously threatened. For most people, the emergency in the driving process is judged by subjective thought and consciousness, and the safety concept is paid much attention by people along with frequent occurrence of safety accidents.
The existing instrument for preventing fatigue driving of a driver comprises multiple instruments, such as road calibration, track line prediction and the advantage of judging whether a driving path is matched with a predicted track, and the detection instrument for realizing the purpose is complex, has high cost and cannot intuitively and quickly judge the physical condition of the driver.
Disclosure of Invention
The invention aims to provide a driver fatigue prevention early warning method, which solves the problem that the physical condition of a driver cannot be intuitively and quickly judged in the prior art.
The invention adopts the technical scheme that a driver fatigue prevention early warning method comprises the following steps:
acquiring heart rate data and blink frequency of a driver;
displaying current heart rate data and blink frequency data of a driver, and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges, and judging whether the driver is in a fatigue state;
and if the driver is in a fatigue state, sending out a warning signal.
The invention is also characterized in that:
acquiring heart rate data and blink frequency of a driver comprises the following steps:
acquiring heart rate data and facial image data of a driver;
and processing the face image data to obtain the blink frequency.
Compare driver's heart rate data and blink frequency data and preset heart rate data and blink frequency range, judge whether the driver is in fatigue state and include:
and comparing the heart rate data and the blink frequency with preset heart rate data and a preset blink frequency range respectively, and judging that the driver is in a fatigue state if the heart rate data and the blink frequency per minute are both larger than or smaller than a preset threshold value.
Compare heart rate data and per minute blink frequency respectively rather than presetting the threshold value, if heart rate data and blink frequency all are greater than or are less than when it presets the threshold value, then judge that the driver is in fatigue state and include:
setting a preset threshold value of the heart rate to be 70-80 times/min, setting a preset threshold value of the blink frequency to be 14-16 times/min, and if the heart rate data is 70-80 times/min and the blink frequency is 18-20 times/min, judging that the driver is in a mild fatigue state; and if the heart rate data is 60-70 times/min and the blink frequency is 9-12 times/min, judging that the driver is in a severe fatigue state.
If the driver is in a fatigue state, the step of sending out the warning signal comprises the following steps:
if the driver is judged to be in a light fatigue state, a primary reminding signal is sent out; and if the driver is in a severe fatigue state, sending a secondary reminding signal.
The warning signal is: if the driver is judged to be in a light fatigue state, a prompt tone is sent to the driver; if the driver is in a severe fatigue state, a warning sound is sent to the driver, and vibration is generated.
Another object of the present invention is to provide a driver anti-fatigue warning system.
The invention adopts another technical scheme that a driver fatigue prevention early warning system comprises:
the information acquisition module is used for acquiring heart rate data and facial image data;
the human-computer interaction module is used for displaying current heart rate data and blink frequency data of a driver and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
the central processing module is used for comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges and judging whether the driver is in a fatigue state or not;
the reminding module is used for sending out a warning signal when the driver is in a fatigue state;
and the communication module is used for transmitting the data acquired by the information acquisition module to the central processing module and sending an instruction to the reminding module.
The information acquisition module comprises an acquisition unit and an image processing unit, wherein the acquisition unit is used for acquiring heart rate data and facial image data of a driver; the image processing unit is used for processing the face image data to obtain the blink frequency.
The third purpose of the invention is to provide a terminal device of the driver fatigue-prevention early warning system.
The third technical scheme adopted by the invention is that the terminal equipment of the driver fatigue-prevention early warning system comprises: the wearable device is internally provided with a heart rate sensor and a vibration motor; the heart rate sensor is electrically connected with the heart rate sensor through a Bluetooth module; the automobile blink monitoring system is characterized by further comprising a camera which is arranged in the automobile and used for acquiring the blink frequency of a driver, and the camera is connected with the raspberry through a USB interface.
The invention has the beneficial effects that: according to the driver fatigue prevention early warning method, whether the driver is in a fatigue state or not can be directly and quickly judged through comprehensive comparison and analysis of the heart rate and the blink frequency, and the driver fatigue prevention early warning method can remind the driver of the fatigue state, so that traffic accidents are effectively reduced; according to the fatigue prevention warning system for the driver, the heart rate and blink frequency normal ranges of the central processing module are preset through the man-machine interaction module, the heart rate and blink frequency acquired in real time are compared with the heart rate and blink frequency through the central processing module, the body state of the driver is judged quickly, the judgment time is shortened, and the detection rate of the fatigue state is effectively improved; according to the anti-fatigue early warning terminal device for the driver, the heart rate sensor and the vibration motor are arranged in the wearable device, heart rate data are directly collected, the vibration motor performs vibration reminding on the driver, the buzzer is arranged to simultaneously act, when the driver is in a fatigue state, the driver can simply and effectively remind the driver, and traffic accidents caused by fatigue driving can be reduced; simple structure and convenient carrying.
Drawings
FIG. 1 is a flow chart of a driver fatigue prevention early warning method of the present invention;
FIG. 2 is a flowchart of step S1 of a driver fatigue prevention warning method according to the present invention
FIG. 3 is a schematic structural diagram of a driver fatigue prevention early warning system according to the present invention;
fig. 4 is a schematic structural diagram of a driver fatigue-prevention early warning terminal device according to the present invention.
In the figure, the mobile phone comprises an information acquisition module 1, an acquisition unit 1-1, an image processing unit 1-2, a human-computer interaction module 2, a central processing module 3, a reminding module 4, a communication module 5, a wearable device 6, a buzzer 7, a heart rate sensor 8, a vibration motor 9, a raspberry pie 10, a Bluetooth module 11, a camera 12 and a touch display screen 13.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
A driver fatigue prevention early warning method is shown in figures 1 and 2 and comprises the following steps:
s1, acquiring heart rate data and blink frequency data of a driver;
s101, acquiring heart rate data and facial image data of a driver;
and S102, processing the face image data to obtain the blink frequency.
Specifically, the eyes are monitored and tracked in real time through a shooting technology, and characteristic parameters of the eyes are analyzed and extracted to obtain the blink frequency.
S2, displaying current heart rate data and blink frequency data of a driver, and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
s3, comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges, and judging whether the driver is in a fatigue state;
specifically, heart rate data and blink frequency are compared with preset heart rate data and blink frequency range respectively, and if the heart rate data and the blink frequency per minute are both larger than or smaller than a preset threshold value, it is judged that the driver is in a fatigue state.
The normal heart rate of an adult is average 75 times per minute, when the waveform fluctuation of the output heart rate is large, the heart rate is fast, the driver is in a waking state at the moment, the waveform diagram of the output heart rate is stable, the heart rate is slow, the driver is in a fatigue state at the moment, but the heart rate of the driver is increased or reduced when the driver takes medicines, the heart rate of the driver is also influenced by the temperature in the driver cab, when the temperature in the driver cab is high, the heart rate is fast, when the temperature in the driver cab is low, the heart rate is slow, and whether the driver is in the fatigue state can not be accurately judged through single heart rate change; the blinking frequency of a driver in a waking state is 14-16 times per minute, and the phenomenon occurs to the driver in a fatigue state, wherein one phenomenon is that the blinking frequency is reduced, the eye closing time is prolonged, the other phenomenon is that the driver resists the fatigue of the driver, the driver keeps waking by quickly blinking, the blinking frequency is increased, and the eye closing time is shortened; therefore, the heart rate and the blink frequency need to be comprehensively judged, the preset threshold value of the heart rate is set to be 70-80 times/min, the preset threshold value of the blink frequency is 14-16 times/min, and if the heart rate data is 70-80 times/min and the blink frequency is 18-20 times/min, the driver is judged to be in a mild fatigue state; and if the heart rate data is 60-70 times/min and the blink frequency is 9-12 times/min, judging that the driver is in a severe fatigue state.
When only heart rate data or only the blink frequency changes, for example, when an external stimulus (such as sunlight, dust and the like) exists, the driver can blink rapidly in a protective way, the blink frequency also rises suddenly, but the heart rate of the driver does not change, and the driver is still awake.
And S4, if the driver is in a fatigue state, sending out a warning signal.
If the driver is judged to be in a light fatigue state, a primary reminding signal is sent out; and if the driver is in a severe fatigue state, sending a secondary reminding signal.
The warning signal is: if the driver is in a light fatigue state, a prompt tone, namely a primary prompt signal, is sent to the driver; and if the driver is in a severe fatigue state, giving out a prompt tone to the driver and generating vibration, namely a secondary prompt signal.
A driver fatigue prevention early warning system, as shown in fig. 3, comprising:
the information acquisition module 1 is used for acquiring heart rate data and blink frequency data;
the information acquisition module 1 comprises an acquisition unit 1-1 and an image processing unit 1-2, wherein the acquisition unit 1-1 is used for acquiring heart rate data and facial image data of a driver; the image processing unit 1-2 is used for processing the face image data to obtain the blink frequency.
The human-computer interaction module 2 is used for displaying current heart rate data and blink frequency data of a driver and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
the central processing module 3 is used for comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges and judging whether the driver is in a fatigue state or not;
the reminding module 4 is used for sending out a reminding signal if the driver is judged to be in a light fatigue state;
and the communication module 5 is used for transmitting the data acquired by the information acquisition module 1 to the central processing module 3 and sending an instruction to the reminding module 4.
A terminal device for preventing fatigue warning of a driver, as shown in fig. 4, comprises:
the wearable device 6 is characterized in that a heart rate sensor 8 and a vibration motor 9 are arranged in the wearable device 6, and a power supply unit for supplying power to the heart rate sensor 8 and the vibration motor 9 is also arranged in the wearable device 6;
the wearable device 6 can be selected as a bracelet, and the heart rate sensor 8 and the vibration motor 9 are arranged in the bracelet; the heart rate sensor 8 adopts a pulse wave heart rate sensor chip YK1303P with ultra-low power consumption, which senses the heartbeat information of a human body in a photoelectric volume pulse wave tracing mode, extracts the heartbeat information and outputs a heart rate waveform.
The system is based on Linux, the blink frequency can be obtained according to facial image data acquired by a camera, the system comprises a memory for storing data in a parameter preset range, and a CPU (central processing unit) for comparing and judging heart rate and blink frequency data acquired in real time with the parameter preset range; CPU treater and heart rate sensor 8 are connected, and heart rate data and the parameter that will heart rate sensor 8 gather predetermine the scope and carry out the comparison and judge. The raspberry group 3b + embedded microcomputer is arranged in a cab, the raspberry group 3b + embedded microcomputer is connected with a touch display screen 13 and a buzzer 7, the touch display screen 13 is connected with a memory in the raspberry group 3b + embedded microcomputer, preset heart rate data and blink frequency data are stored in the memory, the touch display screen 13 adopts a 4.3-inch touch TFT liquid crystal screen, the screen resolution is 800 multiplied by 480, 16-bit true color display is carried out, the current heart rate data and blink frequency data of a driver can be displayed, and the heart rate data and blink frequency range corresponding to the fatigue state of the driver in the raspberry group 3b + embedded microcomputer are preset through the touch display screen 13; the buzzer 7 is directly connected to the raspberry pi 3b + embedded microcomputer, and when the raspberry pi 3b + embedded microcomputer judges that the driver is in a light fatigue state, the buzzer 7 gives a prompt sound to the driver. The raspberry pi 10 is connected to a power supply in the cab.
The raspberry pie 10 is connected with the heart rate sensor 8 and the vibration motor 9 through the Bluetooth module 11, the Bluetooth module 11 adopts an HC-06 Bluetooth module, the working frequency range of the module is 2.4GHZ, the modulation mode GFSK, the maximum transmission power is 8db, the maximum transmission distance is 10 meters, a user is supported to modify instructions such as a device name and a baud rate through an AT command, and the use is convenient, rapid and flexible; when the raspberry pi 10 judges that the driver is in a severe fatigue state, the raspberry pi 10 drives the buzzer 7 to give a prompt sound to the driver, and meanwhile, the vibration motor 9 is driven through the Bluetooth module 11.
The intelligent blink monitoring system is characterized by further comprising a camera 12 which is arranged in the vehicle and used for obtaining a face image of a driver, wherein the camera 12 is connected with the raspberry pi 3b + embedded microcomputer through a USB interface, software for processing the face image is installed in the raspberry pi 3b + embedded microcomputer, and the blink frequency of the driver can be obtained through the face image. The camera 12 adopts a 500 ten thousand pixel camera expansion module which can be directly connected with the raspberry pi, and has the characteristics of small overall dimension, low cost and high definition.
The working process of the terminal equipment for preventing the fatigue early warning of the driver is as follows:
when the portable electronic device is used, the heart rate sensor 8 on the bracelet collects heart rate data and sends the heart rate data to the raspberry group 3b + embedded microcomputer, the camera 12 collects a face image and sends the face image to the raspberry group 3b + embedded microcomputer, the raspberry group 3b + embedded microcomputer identifies and obtains blink frequency from the face image, and whether a driver is in a fatigue state or not and is in a mild or severe fatigue state is comprehensively judged according to the heart rate and the blink frequency; if the driver is judged to be in the waking state, continuing monitoring; if the driver is judged to be in a light fatigue state, the buzzer 7 is directly driven to give out prompt sound to the driver; if judge that the driver is in the severe fatigue state, direct drive bee calling organ 7 sends the prompt tone to the driver to through 11 drive vibrating motor vibrations of bluetooth module, in order to remind the driver to stop to have a rest.
Through the mode, the driver fatigue prevention early warning method can directly and quickly judge whether the driver is in a fatigue state or not through comprehensive comparison and analysis of the heart rate and the blink frequency, and can remind the driver to effectively reduce traffic accidents; according to the fatigue prevention warning system for the driver, the heart rate and blink frequency normal ranges of the central processing module are preset through the man-machine interaction module, the heart rate and blink frequency acquired in real time are compared with the heart rate and blink frequency through the central processing module, the body state of the driver is judged quickly, the judgment time is shortened, and the detection rate of the fatigue state is effectively improved; according to the anti-fatigue early warning terminal device for the driver, the heart rate sensor and the vibration motor are arranged in the wearable device, heart rate data are directly collected, the vibration motor performs vibration reminding on the driver, the buzzer is arranged to simultaneously act, when the driver is in a fatigue state, the driver can simply and effectively remind the driver, and traffic accidents caused by fatigue driving can be reduced; simple structure and convenient carrying.
Claims (9)
1. A driver fatigue prevention early warning method is characterized by comprising the following steps:
acquiring heart rate data and blink frequency of a driver;
displaying current heart rate data and blink frequency data of a driver, and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges, and judging whether the driver is in a fatigue state;
and if the driver is in a fatigue state, sending out a warning signal.
2. The method of claim 1, wherein the obtaining heart rate data and blink frequency of the driver comprises:
acquiring heart rate data and facial image data of a driver;
and processing the face image data to obtain the blink frequency.
3. The method of claim 1, wherein comparing the heart rate data and the blink frequency data of the driver with a preset heart rate data and blink frequency range to determine whether the driver is in the fatigue state comprises:
and comparing the heart rate data and the blink frequency with preset heart rate data and a preset blink frequency range respectively, and judging that the driver is in a fatigue state if the heart rate data and the blink frequency per minute are both larger than or smaller than a preset threshold value.
4. The method as claimed in claim 3, wherein the comparing the heart rate data and the blink frequency per minute with the preset threshold respectively, and if the heart rate data and the blink frequency are both greater than or less than the preset threshold, the determining that the driver is in the fatigue state comprises:
setting a preset threshold value of the heart rate to be 70-80 times/min, setting a preset threshold value of the blink frequency to be 14-16 times/min, and if the heart rate data is 70-80 times/min and the blink frequency is 18-20 times/min, judging that the driver is in a mild fatigue state; and if the heart rate data is 60-70 times/min and the blink frequency is 9-12 times/min, judging that the driver is in a severe fatigue state.
5. The method as claimed in claim 4, wherein the step of sending out the warning signal if the driver is in fatigue state comprises:
if the driver is judged to be in a light fatigue state, a primary reminding signal is sent out; and if the driver is in a severe fatigue state, sending a secondary reminding signal.
6. The driver fatigue prevention early warning method according to claim 5, wherein the warning signal is: if the driver is judged to be in a light fatigue state, a prompt tone is sent to the driver; if the driver is in a severe fatigue state, a warning sound is sent to the driver, and vibration is generated.
7. A driver anti-fatigue warning system, comprising:
the information acquisition module (1) is used for acquiring heart rate data and facial image data;
the human-computer interaction module (2) is used for displaying current heart rate data and blink frequency data of a driver and presetting heart rate data and blink frequency ranges corresponding to fatigue states of the driver;
the central processing module (3) is used for comparing the heart rate data and the blink frequency data of the driver with preset heart rate data and blink frequency ranges and judging whether the driver is in a fatigue state or not;
the reminding module (4) is used for sending out a warning signal when a driver is in a fatigue state;
and the communication module (5) is used for transmitting the data acquired by the information acquisition module (1) to the central processing module (3) and sending an instruction to the reminding module (4).
8. The system for preventing the driver from fatigue and early warning as claimed in claim 7, wherein the information acquisition module (1) comprises an acquisition unit (1-1) and an image processing unit (1-2), the acquisition unit (1-1) is used for acquiring heart rate data and facial image data of the driver; the image processing unit (1-2) is used for processing the face image data to obtain the blink frequency.
9. A terminal device of a driver anti-fatigue warning system, comprising:
the wearable device (6) is internally provided with a heart rate sensor (8) and a vibration motor (9); the heart rate sensor is characterized by further comprising a raspberry pie (10), wherein the raspberry pie (10) is electrically connected with a touch display screen (13) and a buzzer (7), and the raspberry pie (10) is respectively connected with a heart rate sensor (8) and a vibration motor (9) through a Bluetooth module (11); the device is characterized by further comprising a camera (12) which is arranged in the vehicle and used for acquiring the blinking frequency of a driver, wherein the camera (12) is connected with the raspberry pie (10) through a USB interface.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113378681A (en) * | 2021-06-02 | 2021-09-10 | 联想(北京)有限公司 | Fatigue measurement method and device and computer readable medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130070043A1 (en) * | 2011-09-19 | 2013-03-21 | Nir Geva | Vehicle driver monitor and a method for monitoring a driver |
CN105799509A (en) * | 2014-12-30 | 2016-07-27 | 北京奇虎科技有限公司 | Fatigue driving preventing system and method |
CN106548132A (en) * | 2016-10-16 | 2017-03-29 | 北海益生源农贸有限责任公司 | The method for detecting fatigue driving of fusion eye state and heart rate detection |
CN107374603A (en) * | 2017-08-23 | 2017-11-24 | 辽宁工业大学 | A kind of safe driving decision-making system and decision method |
CN109717853A (en) * | 2019-03-14 | 2019-05-07 | 扬州大学 | Vehicle carried driving person's fatigue detecting system based on raspberry pie |
-
2019
- 2019-09-30 CN CN201910940087.3A patent/CN110728825A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130070043A1 (en) * | 2011-09-19 | 2013-03-21 | Nir Geva | Vehicle driver monitor and a method for monitoring a driver |
CN105799509A (en) * | 2014-12-30 | 2016-07-27 | 北京奇虎科技有限公司 | Fatigue driving preventing system and method |
CN106548132A (en) * | 2016-10-16 | 2017-03-29 | 北海益生源农贸有限责任公司 | The method for detecting fatigue driving of fusion eye state and heart rate detection |
CN107374603A (en) * | 2017-08-23 | 2017-11-24 | 辽宁工业大学 | A kind of safe driving decision-making system and decision method |
CN109717853A (en) * | 2019-03-14 | 2019-05-07 | 扬州大学 | Vehicle carried driving person's fatigue detecting system based on raspberry pie |
Non-Patent Citations (1)
Title |
---|
叶建芳 等: "基于随机森林的疲劳驾驶检测识别模型的优化研究", 《汽车实用技术》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113378681A (en) * | 2021-06-02 | 2021-09-10 | 联想(北京)有限公司 | Fatigue measurement method and device and computer readable medium |
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