CN110930641A - Fatigue driving early warning system and method based on physiological information analysis - Google Patents
Fatigue driving early warning system and method based on physiological information analysis Download PDFInfo
- Publication number
- CN110930641A CN110930641A CN201911193256.8A CN201911193256A CN110930641A CN 110930641 A CN110930641 A CN 110930641A CN 201911193256 A CN201911193256 A CN 201911193256A CN 110930641 A CN110930641 A CN 110930641A
- Authority
- CN
- China
- Prior art keywords
- early warning
- heart rate
- fatigue
- evaluation result
- driver
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
-
- 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
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0211—Combination with medical sensor, e.g. for measuring heart rate, temperature
-
- 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
Landscapes
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Child & Adolescent Psychology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Heart & Thoracic Surgery (AREA)
- Cardiology (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a fatigue driving early warning system and method based on physiological information analysis, wherein the early warning method comprises the following steps: s1, the video monitoring unit collects and transmits video data containing face images of the driver in real time, and the heart rate detection unit collects and transmits heart rate coefficients of the driver in real time; s2, the background control center processes and analyzes the video data and the heart rate coefficient, and obtains the fatigue evaluation result of the current driver according to the preset physiological information threshold range; and S3, outputting a corresponding control command to the early warning device according to the fatigue evaluation result, and generating corresponding action by the early warning device. Compared with the prior art, the invention utilizes the heart rate bracelet, the electrocardiograph and the video acquisition terminal to acquire the physiological information of the driver in real time from multiple aspects and analyze the physiological information in real time, and combines the early warning device with the functions of voice playing and seat vibration, so that the accuracy of a fatigue evaluation result can be improved, and meanwhile, the driver can be effectively warned to pay attention to fatigue driving.
Description
Technical Field
The invention relates to the technical field of fatigue driving early warning, in particular to a fatigue driving early warning system and method based on physiological information analysis.
Background
According to statistics of traffic departments, more than 60% of traffic accidents are related to fatigue driving. Fatigue driving refers to the phenomenon that after a driver drives a vehicle continuously for a long time, the driver has disorder of physiological function and psychological function, and the driving skill is objectively reduced. Fatigue driving affects the driver's attention, feeling, perception, thinking, judgment, consciousness, decision and movement. The fatigue driving of drivers is easy to cause road traffic accidents. Therefore, the fatigue driving early warning plays an important role in traffic safety application.
The current fatigue driving early warning is mainly divided into two types: one method is that whether the current driver is fatigue driving is indirectly judged by detecting the driving state of the vehicle based on the real-time track of the vehicle, and the driving state information of the driver is not directly acquired and analyzed, and the acquired driving state of the vehicle is usually lag data, so that the early warning analysis result corresponding to the fatigue driving is not real-time and reliable enough; the other method is to collect a facial image of the driver and analyze and process the image to judge whether the driver is tired, and this method usually only analyzes the eye and mouth movements of the driver and does not comprehensively collect and analyze the physiological information of the driver, so that it is difficult to ensure the accuracy of the early warning analysis result.
In addition, most of the current fatigue driving early warning means only show warning marks on a vehicle instrument panel or a vehicle-mounted display, and cannot effectively achieve the purpose of warning drivers.
Data show that the driver drives the vehicle to move forward at the speed of 100 km/h, and after one hour, the physiological function of the driver can enter a sleep state; after two hours, the physiological function of the patient is sleepy and the activity is reduced. Under general conditions, the traffic accident rate is extremely high for drivers who drive for more than 6 hours a day or have less than 4-5 hours of sleep time in the previous day. Therefore, the invention considers that the real-time multi-aspect collection of the physiological function of the driver is carried out, and the real-time analysis is carried out on a plurality of physiological information, thereby improving the real-time reliability and the accuracy of the early warning analysis result, and simultaneously combining with an effective early warning means, the invention can have the functions of warning the driver and dispersing the fatigue feeling of the driver.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a fatigue driving early warning system and method based on physiological information analysis.
The purpose of the invention can be realized by the following technical scheme: the utility model provides a driver fatigue early warning system based on physiological information analysis, includes video monitoring unit, heart rate monitoring unit, backstage control center and early warning device, video monitoring unit and heart rate monitoring unit are connected with backstage control center respectively to transmit the video data and the heart rate coefficient of gathering for backstage control center respectively, backstage control center still is connected with early warning device, is handled and is analyzed video data and heart rate coefficient by backstage control center to obtain corresponding control command, and transmits this control command for early warning device, with change early warning device's operating condition.
Further, the video monitoring unit comprises a video acquisition terminal and a vehicle-mounted driving computer which are sequentially connected, the vehicle-mounted driving computer is further connected to the background control center, the video acquisition terminal transmits acquired video data containing facial images of a driver to the vehicle-mounted driving computer, and the vehicle-mounted driving computer is used for storing the video data and transmitting the video data to the background control center.
Furthermore, the video acquisition terminal is connected with the vehicle-mounted driving computer through a wired network, and the video acquisition terminal is installed at the position of the steering wheel, which is just opposite to the face of the driver.
Further, the rhythm of the heart monitoring unit is including wearing the rhythm of the heart bracelet at driver's wrist and the wearable electrocardio appearance and the on-vehicle intelligent box that connect gradually, rhythm of the heart bracelet and on-vehicle intelligent box are connected with backstage control center respectively, the rhythm of the heart bracelet is used for gathering driver's rhythm of the heart data, wearable electrocardio appearance is used for gathering driver's electrocardiogram data, rhythm of the heart data and electrocardiogram data constitution rhythm of the heart coefficient.
Further, the intelligent wrist-watch of rhythm of the heart bracelet for being provided with mobile communication module and rhythm of the heart sensor, the intelligent wrist-watch passes through mobile communication network and is connected with backstage control center to give backstage control center with the rhythm of the heart data transmission who gathers.
Further, wearable electrocardiograph installs bluetooth module, is connected with on-vehicle intelligent box through bluetooth communication to transmit the driver's heart electrograph data of gathering for on-vehicle intelligent box, on-vehicle intelligent box passes through wiFi wireless network and is connected with backstage control center, in order to transmit driver's heart electrograph data for backstage control center.
Further, the early warning device comprises a voice player and a vibrator installed in the seat, when the early warning device receives a control command of 'sending out an early warning', the voice player can automatically play voice data for reminding a driver of paying attention to fatigue driving, and meanwhile the vibrator can generate vibration at a preset frequency for reminding the driver of paying attention to the fatigue driving.
A fatigue driving early warning method based on physiological information analysis comprises the following steps:
s1, starting the vehicle, acquiring video data containing a face image of the driver in real time by the video monitoring unit, acquiring a heart rate coefficient of the driver in real time by the heart rate detection unit, and respectively transmitting the acquired video data and the heart rate coefficient to the background control center;
s2, the background control center processes and analyzes the video data and the heart rate coefficient, and obtains the fatigue evaluation result of the current driver according to a preset physiological information threshold range, wherein the physiological information threshold range comprises an eye behavior threshold range and a heart rate coefficient threshold range;
s3, if the fatigue evaluation result is critical or fatigue, the background control center outputs a control instruction of sending an early warning to the early warning device, and the early warning device generates corresponding action; and if the fatigue evaluation result is normal, the background control center does not output a control instruction to the early warning device, namely the early warning device does not act.
Further, the step S2 specifically includes the following steps:
s21, the background control center extracts continuous eye behavior data from the image frames of the video data, judges whether the eye behavior data is in the eye behavior threshold range, if so, outputs a first evaluation result as 'normal', otherwise outputs the first evaluation result as 'fatigue';
s22, judging whether the heart rate coefficient is in the heart rate coefficient threshold range, if so, outputting a second evaluation result as 'normal', otherwise, outputting the second evaluation result as 'fatigue';
and S23, combining the first evaluation result and the second evaluation result to obtain a fatigue evaluation result: if the first evaluation result and the second evaluation result are both normal, outputting the fatigue evaluation result as normal;
if the first evaluation result or the second evaluation result is 'fatigue', outputting a fatigue evaluation result as 'critical';
if both the first evaluation result and the second evaluation result are "fatigue", the data fatigue evaluation result is "fatigue".
Compared with the prior art, the method has the advantages that the heart rate coefficient of the driver and the video data containing the facial image of the driver are collected in real time, the eye behavior data of the driver are extracted from the video data, the purpose of collecting physiological information of the driver in multiple aspects is achieved, and the accuracy of a fatigue evaluation result can be improved based on comprehensive physiological information data and real-time physiological information analysis; in addition, the early warning device comprising the voice player and the seat vibrator is adopted, and the reliable fatigue evaluation result is combined, so that the aim of effectively warning the fatigue driving of a driver can be fulfilled, and the function of dispersing the fatigue feeling to a certain extent is generated.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow diagram of the process of the present invention;
the notation in the figure is: 100. a video monitoring unit; 101. a video acquisition terminal; 102. a vehicle-mounted traveling computer; 200. a heart rate monitoring unit; 201. a heart rate bracelet; 202. a wearable electrocardiograph; 203. a vehicle-mounted intelligent box; 300. a background control center; 400. and (5) an early warning device.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
As shown in fig. 1, a fatigue driving early warning system based on physiological information analysis includes a video monitoring unit 100, a heart rate monitoring unit 200, a background control center 300 and an early warning device 400, wherein the video monitoring unit 100 includes: the video acquisition terminal 101 is used for acquiring video data, and the video data comprises a face image of a driver;
one end of the vehicle-mounted traveling computer 102 is connected with the video acquisition terminal 101 through a wired network, and the other end of the vehicle-mounted traveling computer is connected with the background control center 300 and used for storing video data and transmitting the video data to the background control center 300;
the heart rate monitoring unit 200 is used for acquiring heart rate coefficients, and comprises: the heart rate bracelet 201 is connected with the background control center 300, in the embodiment, the heart rate bracelet 201 adopts a smart watch with a 3G module, a special APP is installed on the smart watch, collected heart rate data are sent out through the 3G module of the smart watch at a fixed frequency and are transmitted to the background control center 300 through a mobile base station;
the wearable electrocardiograph 202 is automatically connected with the vehicle-mounted intelligent box 203 through Bluetooth, the other end of the vehicle-mounted intelligent box 203 is connected to the background control center 300, and therefore collected electrocardiogram data are sent to the vehicle-mounted intelligent box 203 through Bluetooth and then sent to the background control center 300 through the WiFi wireless network through the vehicle-mounted intelligent box 203;
the heart rate data and the electrocardiogram data form a heart rate coefficient, the background control center 300 processes and analyzes the video data and the heart rate coefficient based on a preset physiological information threshold range to obtain a fatigue evaluation result, and the early warning device 400 generates corresponding actions according to the fatigue evaluation result, wherein the early warning device 400 specifically comprises a voice player and a seat vibrator and can generate voice warning and seat vibration prompt simultaneously.
The fatigue driving early warning method based on the physiological information analysis, which applies the system, as shown in fig. 2, comprises the following steps:
s1, starting the vehicle, acquiring video data containing a face image of the driver in real time by the video monitoring unit, acquiring a heart rate coefficient of the driver in real time by the heart rate detection unit, and respectively transmitting the acquired video data and the heart rate coefficient to the background control center;
s2, the background control center processes and analyzes the video data and the heart rate coefficient, and obtains the fatigue evaluation result of the current driver according to a preset physiological information threshold range, wherein the physiological information threshold includes an eye behavior threshold range and a heart rate coefficient threshold range;
s3, if the fatigue evaluation result is critical or fatigue, the background control center outputs a control instruction of sending an early warning to the early warning device, and the early warning device generates corresponding action; and if the fatigue evaluation result is normal, the background control center does not output a control instruction to the early warning device, namely the early warning device does not act.
Based on the early warning system and the early warning method provided by the invention, the specific working process of the embodiment is as follows:
step 1, when a vehicle to be driven is started, a video monitoring unit 100 installed on the vehicle starts to work, the facial data of a driver are collected, and the video monitoring unit 100 is connected with a background control center 300;
step 2, a driver needs to wear a heart rate bracelet 201 and a wearable electrocardiograph 202 and collects the heart rate coefficient of the driver;
step 3, the heart rate bracelet 201, the wearable electrocardiograph 202 and the video monitoring unit 100 respectively detect physiological information of the driver and send the physiological information to the background control center 300;
step 4, based on a preset physiological information threshold range, the background control center 300 stores, processes and analyzes the collected facial feature data and heart rate coefficient data of the driver to obtain a fatigue evaluation result of the driver;
step 5, according to the fatigue evaluation result, the background control center 300 outputs a corresponding control instruction to the early warning device 400, and the early warning device 400 performs corresponding actions: if the fatigue evaluation result is 'critical' or 'fatigue', the background control center outputs a 'sending early warning' control instruction to the early warning device, and the early warning device generates corresponding action; and if the fatigue evaluation result is normal, the background control center does not output a control instruction to the early warning device, namely the early warning device does not act.
Specifically, the physiological information threshold range includes an eye behavior threshold range and a heart rate coefficient threshold range, the background control center 300 extracts continuous eye behavior data from the image frame of the video data, and determines whether the eye behavior data is within the eye behavior threshold range, if so, the first evaluation result is output as "normal", otherwise, the first evaluation result is output as "fatigue";
then judging whether the heart rate coefficient is in the heart rate coefficient threshold range, if so, outputting a second evaluation result as 'normal', otherwise, outputting the second evaluation result as 'fatigue';
and finally, combining the first evaluation result and the second evaluation result to obtain a fatigue evaluation result: if the first evaluation result and the second evaluation result are both normal, outputting the fatigue evaluation result as normal;
if the first evaluation result or the second evaluation result is 'fatigue', outputting a fatigue evaluation result as 'critical';
if both the first evaluation result and the second evaluation result are "fatigue", the data fatigue evaluation result is "fatigue".
In conclusion, the fatigue evaluation system can improve the accuracy and reliability of fatigue evaluation by collecting and analyzing the physiological information of the driver in real time in many aspects, can play a role in warning the driver and dissipating fatigue feeling by combining an effective early warning means, can be applied to fleet management and driver management of vehicles, improves the safety guarantee of vehicle operation, and has the advantages of convenience in use, multiple functions, good reliability, high intelligence degree and high safety coefficient. In addition, the invention can also be used for private drivers to ensure the safety of vehicle driving.
Claims (9)
1. The utility model provides a driver fatigue early warning system based on physiological information analysis, its characterized in that, includes video monitor unit (100), heart rate monitor unit (200), backstage control center (300) and early warning device (400), video monitor unit (100) and heart rate monitor unit (200) are connected with backstage control center (300) respectively to video data and the transmission of heart rate coefficient with gathering give backstage control center (300) respectively, backstage control center (300) still are connected with early warning device (400), are handled and are analyzed video data and heart rate coefficient by backstage control center (300), in order to obtain corresponding control command, and transmit this control command for early warning device (400), with the operating condition who changes early warning device (400).
2. The fatigue driving early warning system based on physiological information analysis as claimed in claim 1, wherein the video monitoring unit (100) comprises a video acquisition terminal (101) and a vehicle-mounted driving computer (102) which are connected in sequence, the vehicle-mounted driving computer (102) is further connected to the background control center (300), the video acquisition terminal (101) transmits acquired video data containing a driver face image to the vehicle-mounted driving computer (102), and the vehicle-mounted driving computer (102) is used for storing the video data and transmitting the video data to the background control center (300).
3. The fatigue driving early warning system based on physiological information analysis as claimed in claim 2, wherein the video capture terminal (101) is connected with the vehicle-mounted running computer (102) through a wired network, and the video capture terminal (101) is installed at a position of the steering wheel, which is opposite to the face of the driver.
4. The fatigue driving early warning system based on physiological information analysis of claim 1, wherein the heart rate monitoring unit (200) comprises a heart rate bracelet (201) worn on the wrist of the driver, and a wearable electrocardiograph (202) and a vehicle-mounted intelligent box (203) which are sequentially connected, the heart rate bracelet (201) and the vehicle-mounted intelligent box (203) are respectively connected with the background control center (300), the heart rate bracelet (201) is used for collecting heart rate data of the driver, the wearable electrocardiograph (202) is used for collecting electrocardiogram data of the driver, and the heart rate data and the electrocardiogram data form a heart rate coefficient.
5. The fatigue driving early warning system based on physiological information analysis as claimed in claim 4, wherein the heart rate bracelet (201) is a smart watch provided with a mobile communication module and a heart rate sensor, and the smart watch is connected with the background control center (300) through a mobile communication network so as to transmit the collected heart rate data to the background control center (300).
6. The fatigue driving early warning system based on physiological information analysis as claimed in claim 4, wherein the wearable electrocardiograph (202) is provided with a Bluetooth module, and is connected with the vehicle-mounted intelligent box (203) through Bluetooth communication so as to transmit the acquired electrocardiogram data of the driver to the vehicle-mounted intelligent box (203), and the vehicle-mounted intelligent box (203) is connected with the background control center (300) through a WiFi wireless network so as to transmit the electrocardiogram data of the driver to the background control center (300).
7. The fatigue driving early warning system based on physiological information analysis as claimed in claim 1, wherein the early warning device (400) comprises a voice player and a vibrator installed in the seat, when the early warning device (400) receives a control instruction for sending out the early warning, the voice player automatically plays voice data for reminding the driver of paying attention to the fatigue driving, and the vibrator vibrates at a preset frequency for reminding the driver of paying attention to the fatigue driving.
8. An early warning method using the fatigue driving early warning system based on the physiological information analysis as claimed in claim 1, characterized by comprising the following steps:
s1, starting a vehicle, acquiring video data containing a face image of a driver in real time by a video monitoring unit (100), acquiring a heart rate coefficient of the driver in real time by a heart rate detection unit, and respectively transmitting the acquired video data and the heart rate coefficient to a background control center (300);
s2, the background control center (300) processes and analyzes the video data and the heart rate coefficient, and obtains the fatigue evaluation result of the current driver according to a preset physiological information threshold range, wherein the physiological information threshold range comprises an eye behavior threshold range and a heart rate coefficient threshold range;
s3, if the fatigue evaluation result is critical or fatigue, the background control center (300) outputs and sends out an early warning control instruction to the early warning device (400), and the early warning device (400) generates corresponding action; if the fatigue evaluation result is normal, the background control center (300) does not output a control instruction to the early warning device (400), namely the early warning device (400) does not act.
9. The warning method according to claim 8, wherein the step S2 specifically comprises the following steps:
s21, the background control center (300) extracts continuous eye behavior data from the image frames of the video data, judges whether the eye behavior data is in the range of the eye behavior threshold value, if so, outputs a first evaluation result as normal, otherwise, outputs the first evaluation result as fatigue;
s22, judging whether the heart rate coefficient is within the heart rate coefficient threshold range, if so, outputting a second evaluation result as normal, otherwise, outputting the second evaluation result as fatigue;
and S23, combining the first evaluation result and the second evaluation result to obtain a fatigue evaluation result: if the first evaluation result and the second evaluation result are both normal, outputting the fatigue evaluation result as normal;
if the first evaluation result or the second evaluation result is fatigue, outputting the fatigue evaluation result as a critical value;
and if the first evaluation result and the second evaluation result are both fatigue, the data fatigue evaluation result is fatigue.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911193256.8A CN110930641A (en) | 2019-11-28 | 2019-11-28 | Fatigue driving early warning system and method based on physiological information analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911193256.8A CN110930641A (en) | 2019-11-28 | 2019-11-28 | Fatigue driving early warning system and method based on physiological information analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110930641A true CN110930641A (en) | 2020-03-27 |
Family
ID=69847589
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911193256.8A Pending CN110930641A (en) | 2019-11-28 | 2019-11-28 | Fatigue driving early warning system and method based on physiological information analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110930641A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111540171A (en) * | 2020-04-28 | 2020-08-14 | 河北地质大学 | Fatigue driving early warning system, corresponding early warning method and construction method |
| CN112389444A (en) * | 2020-10-16 | 2021-02-23 | 爱驰汽车（上海）有限公司 | Vehicle early warning method and device based on heart rate detection of driver |
| CN113555117A (en) * | 2021-07-19 | 2021-10-26 | 江苏金海星导航科技有限公司 | Driver health management system based on wearable device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11139178A (en) * | 1997-11-11 | 1999-05-25 | Isuzu Motors Ltd | Doze-driving detecting device |
| CN107307855A (en) * | 2017-08-02 | 2017-11-03 | 沈阳东康智能科技有限公司 | Vehicular human health monitoring system and method based on wearable device |
| CN207264555U (en) * | 2017-08-24 | 2018-04-20 | 深圳金康特智能科技有限公司 | A kind of fatigue driving monitoring system based on intelligent wearable device |
| CN109171686A (en) * | 2018-09-27 | 2019-01-11 | 长春奥普光电技术股份有限公司 | A kind of wearable Medical Devices of intelligence and Portable household real-time monitoring system |
| CN109887239A (en) * | 2019-03-16 | 2019-06-14 | 南京英诺微盛光学科技有限公司 | It is a kind of for monitoring the wearable device and application method of fatigue driving |
| CN110276273A (en) * | 2019-05-30 | 2019-09-24 | 福建工程学院 | Merge the Driver Fatigue Detection of facial characteristics and the estimation of image pulse heart rate |
-
2019
- 2019-11-28 CN CN201911193256.8A patent/CN110930641A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11139178A (en) * | 1997-11-11 | 1999-05-25 | Isuzu Motors Ltd | Doze-driving detecting device |
| CN107307855A (en) * | 2017-08-02 | 2017-11-03 | 沈阳东康智能科技有限公司 | Vehicular human health monitoring system and method based on wearable device |
| CN207264555U (en) * | 2017-08-24 | 2018-04-20 | 深圳金康特智能科技有限公司 | A kind of fatigue driving monitoring system based on intelligent wearable device |
| CN109171686A (en) * | 2018-09-27 | 2019-01-11 | 长春奥普光电技术股份有限公司 | A kind of wearable Medical Devices of intelligence and Portable household real-time monitoring system |
| CN109887239A (en) * | 2019-03-16 | 2019-06-14 | 南京英诺微盛光学科技有限公司 | It is a kind of for monitoring the wearable device and application method of fatigue driving |
| CN110276273A (en) * | 2019-05-30 | 2019-09-24 | 福建工程学院 | Merge the Driver Fatigue Detection of facial characteristics and the estimation of image pulse heart rate |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111540171A (en) * | 2020-04-28 | 2020-08-14 | 河北地质大学 | Fatigue driving early warning system, corresponding early warning method and construction method |
| CN111540171B (en) * | 2020-04-28 | 2021-09-10 | 河北地质大学 | Fatigue driving early warning system, corresponding early warning method and construction method |
| CN112389444A (en) * | 2020-10-16 | 2021-02-23 | 爱驰汽车（上海）有限公司 | Vehicle early warning method and device based on heart rate detection of driver |
| CN112389444B (en) * | 2020-10-16 | 2022-04-12 | 爱驰汽车（上海）有限公司 | Vehicle early warning method and device based on heart rate detection of driver |
| CN113555117A (en) * | 2021-07-19 | 2021-10-26 | 江苏金海星导航科技有限公司 | Driver health management system based on wearable device |
| CN113555117B (en) * | 2021-07-19 | 2022-04-01 | 江苏金海星导航科技有限公司 | Driver health management system based on wearable device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110930641A (en) | Fatigue driving early warning system and method based on physiological information analysis | |
| CN104408879B (en) | Method, device and system for processing fatigue driving early warning | |
| JP4985428B2 (en) | Driver management device and operation management system | |
| CN105869356B (en) | A kind of the assessment interfering system and method for railway drivers working condition | |
| CN101470951B (en) | Vehicle security drive monitoring system | |
| CN205158585U (en) | Prevention driver fatigue's smart machine and system | |
| CN105336105A (en) | Method, intelligent device and system for preventing fatigue driving | |
| CN112141118B (en) | Intelligent driving system and control method | |
| CN106778618A (en) | A kind of fatigue driving monitoring early warning system | |
| CN107571735A (en) | A kind of vehicle drivers status monitoring system and monitoring method | |
| CN110664417A (en) | Train safe driving early warning equipment and system | |
| CN108312964A (en) | A kind of fatigue driving state identification early warning system and method | |
| CN109910899A (en) | A kind of safe and intelligent drive manner and system | |
| CN107554293A (en) | A kind of safe driving prior-warning device and safe driving method for early warning | |
| CN111645694A (en) | Driver driving state monitoring system and method based on attitude estimation | |
| CN114652532B (en) | Multifunctional brain-controlled wheelchair system based on SSVEP and attention detection | |
| CN112204630A (en) | Fatigue driving interference system, vehicle with same and fatigue driving interference method | |
| CN112455461B (en) | Human-vehicle interaction method for automatically driving vehicle and automatically driving system | |
| CN111568444A (en) | Vehicle-mounted emotion communication interaction system | |
| CN205722310U (en) | A kind of train driver Activity recognition system based on video sequence | |
| CN203149771U (en) | A fatigue driving caution system | |
| CN107953892A (en) | A kind of vehicle carried driving behavior integration assessment and correction system | |
| CN111080940A (en) | Fatigue driving early warning method and system based on threshold system | |
| CN102867395A (en) | Remote real-time monitoring device for fatigued drivers | |
| CN213241414U (en) | Fatigue identification system based on multiple signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200327 |
|
| RJ01 | Rejection of invention patent application after publication |