CN115366881A - Dangerous driving intervention method, equipment, storage medium and device - Google Patents
Dangerous driving intervention method, equipment, storage medium and device Download PDFInfo
- Publication number
- CN115366881A CN115366881A CN202210971166.2A CN202210971166A CN115366881A CN 115366881 A CN115366881 A CN 115366881A CN 202210971166 A CN202210971166 A CN 202210971166A CN 115366881 A CN115366881 A CN 115366881A
- Authority
- CN
- China
- Prior art keywords
- driving
- driver
- information
- intelligent
- preset
- 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
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000002159 abnormal effect Effects 0.000 claims abstract description 28
- 230000006870 function Effects 0.000 claims description 71
- 230000006399 behavior Effects 0.000 claims description 53
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 28
- 229910052760 oxygen Inorganic materials 0.000 claims description 28
- 239000001301 oxygen Substances 0.000 claims description 28
- 239000008280 blood Substances 0.000 claims description 27
- 210000004369 blood Anatomy 0.000 claims description 27
- 230000001815 facial effect Effects 0.000 claims description 20
- 206010000117 Abnormal behaviour Diseases 0.000 claims description 18
- 230000000276 sedentary effect Effects 0.000 claims description 13
- 230000036541 health Effects 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 3
- 231100001261 hazardous Toxicity 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 10
- 206010039203 Road traffic accident Diseases 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 230000007547 defect Effects 0.000 description 3
- 206010021143 Hypoxia Diseases 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 208000002173 dizziness Diseases 0.000 description 2
- 230000007954 hypoxia Effects 0.000 description 2
- 230000036651 mood Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 206010008479 Chest Pain Diseases 0.000 description 1
- 206010019280 Heart failures Diseases 0.000 description 1
- 208000002193 Pain Diseases 0.000 description 1
- 208000003443 Unconsciousness Diseases 0.000 description 1
- 206010047700 Vomiting Diseases 0.000 description 1
- 208000008445 altitude sickness Diseases 0.000 description 1
- 206010003119 arrhythmia Diseases 0.000 description 1
- 230000006793 arrhythmia Effects 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 208000019622 heart disease Diseases 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035900 sweating Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000008673 vomiting Effects 0.000 description 1
- 230000037303 wrinkles Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/22—Psychological state; Stress level or workload
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2540/00—Input parameters relating to occupants
- B60W2540/221—Physiology, e.g. weight, heartbeat, health or special needs
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Cardiology (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Physiology (AREA)
- Heart & Thoracic Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Pulmonology (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a dangerous driving intervention method, equipment, a storage medium and a device, wherein the method comprises the following steps: when the intelligent wearable device is connected with the intelligent wearable device, body state information of a driver and passengers uploaded by the intelligent wearable device is acquired, when the body state of the driver is judged to be abnormal according to the body state information, driving behavior information and driving image information of the driver are acquired, and whether an intelligent driving function is started or not is judged according to the driving behavior information and the driving image information; according to the intelligent driving method and the intelligent driving system, the body state information of the driver is acquired through the intelligent wearable device, the driving behavior and the driving image information of the driver are acquired when the body state of the driver is abnormal, whether the intelligent driving mode is started or not is judged according to the driving behavior and the driving image information, the emergency situation of the driver in the driving process can be known, and reasonable relevant measures can be taken in time to prevent danger.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a dangerous driving intervention method, dangerous driving intervention equipment, a dangerous driving intervention storage medium and a dangerous driving intervention device.
Background
With the improvement of living standard of people, most of the transportation tools of families are automobiles, traffic accidents are likely to happen under the condition that a driver is uncomfortable, and accidents are likely to happen under the condition that some drivers do not have time to reflect in emergency situations on the body.
Disclosure of Invention
The invention mainly aims to provide a dangerous driving intervention method, equipment, a storage medium and a device, and aims to solve the technical problem of how to take emergency measures when the physical condition of a driver is in a problem.
In order to achieve the above object, the present invention provides a dangerous driving intervention method, including the steps of:
when connection with intelligent wearable equipment is established, body state information of a driver and a passenger uploaded by the intelligent wearable equipment is acquired;
when the physical state information is used for judging that the physical state of the driver is abnormal, acquiring the driving behavior information and the driving image information of the driver;
and judging whether to start an intelligent driving function according to the driving behavior information and the driving image information.
Optionally, the step of determining whether to start the intelligent driving function according to the driving behavior information and the driving image information includes:
judging whether the driving behavior information is abnormal behavior information or not;
when the driving behavior information is abnormal behavior information, acquiring facial feature information of the driver from the driving image information;
matching the facial feature information with a preset driver information base;
if the matching is successful, acquiring the driving age of the driver corresponding to the facial feature information from the preset driver information base;
and judging whether to automatically start the intelligent driving function according to the driving age of the driver and the pressure index of the driver.
Optionally, the step of determining whether to automatically start the intelligent driving function according to the driving age of the driver and the stress index of the driver includes:
when the driving age of the driver is smaller than the preset driving age, acquiring the pressure index of the driver through an automatic pressure detection function;
and when the pressure index is greater than a preset pressure value, automatically starting an intelligent driving function.
Optionally, after the step of determining whether the driving behavior information is abnormal behavior information, the method further includes:
detecting a heart rate value of the driver;
when the duration of the heart rate value in the preset high index range is longer than the preset duration, outputting rest prompt information;
and when the heart rate value is larger than a preset high heart rate threshold value, positioning the vehicle in real time and sending the vehicle to a manufacturer server of the vehicle, and requesting for rescue.
Optionally, after the step of locating and sending the vehicle to a manufacturer server of the vehicle in real time and requesting rescue when the heart rate value is greater than a preset high heart rate threshold value, the method further includes:
outputting health inquiry information and acquiring response information fed back by the driver based on the health inquiry information;
when the response information is not acquired, monitoring the current speed and the stability of the vehicle;
and when the current vehicle speed is kept unchanged and the stability of the vehicle is reduced, or when the current vehicle speed is accelerated and the stability of the vehicle is reduced, automatically starting an intelligent driving function.
Optionally, after the step of determining whether the driving behavior information is abnormal behavior information, the method further includes:
obtaining sedentary time and a blood oxygen value of the driver, and determining a first preset blood oxygen value corresponding to the sedentary time;
and when the sedentary time is greater than the preset sedentary time and the blood oxygen value is lower than the first preset blood oxygen value, automatically starting an intelligent driving function.
Optionally, after the step of determining whether the driving behavior information is abnormal behavior information, the method further includes
Acquiring a current altitude, and determining a second preset blood oxygen value corresponding to the current altitude;
providing a nearest hospital navigation path when the blood oxygen value is lower than the second preset blood oxygen value.
Furthermore, to achieve the above object, the present invention also proposes a dangerous driving intervention apparatus comprising: a memory, a processor, and a dangerous driving intervention program stored on the memory and executable on the processor, the dangerous driving intervention program when executed by the processor implementing the dangerous driving intervention method as described above.
In addition, to achieve the above object, the present invention further proposes a storage medium having a dangerous driving intervention program stored thereon, which when executed by a processor implements the dangerous driving intervention method as described above.
In addition, in order to achieve the above object, the present invention also proposes a dangerous driving intervention apparatus, including: the system comprises an information acquisition module, an information acquisition module and a function starting module;
the information acquisition module is used for acquiring body state information of the driver and passengers uploaded by the intelligent wearable device when the intelligent wearable device is connected with the intelligent wearable device;
the information acquisition module is used for acquiring the driving behavior information and the driving image information of the driver when the body state abnormality of the driver is judged according to the body state information;
and the function starting module is used for judging whether to start the intelligent driving function according to the driving behavior information and the driving image information.
When the intelligent wearable device is connected, body state information of a driver and a passenger uploaded by the intelligent wearable device is acquired, and when the body state of the driver is judged to be abnormal according to the body state information, driving behavior information and driving image information of the driver are acquired, and whether an intelligent driving function is started or not is judged according to the driving behavior information and the driving image information; according to the intelligent driving method and the intelligent driving system, the body state information of the driver is acquired through the intelligent wearable device, the driving behavior and the driving image information of the driver are acquired when the body state of the driver is abnormal, whether the intelligent driving mode is started or not is judged according to the driving behavior and the driving image information, the emergency situation of the driver in the driving process can be known, and reasonable relevant measures can be taken in time to prevent danger.
Drawings
FIG. 1 is a schematic structural diagram of a dangerous driving intervention device in a hardware operating environment according to an embodiment of the invention;
FIG. 2 is a schematic flow chart diagram of a first embodiment of a dangerous driving intervention method of the present invention;
FIG. 3 is a schematic flow chart diagram illustrating a dangerous driving intervention method according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart diagram illustrating a third embodiment of a dangerous driving intervention method of the present invention;
fig. 5 is a block diagram of the dangerous driving intervening device according to the first embodiment of the invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a dangerous driving intervention device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the dangerous driving intervention apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of hazardous driving intervention equipment, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in FIG. 1, memory 1005, identified as one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a hazardous driving intervention program.
In the dangerous driving intervention equipment shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and communicating data with the background server; the user interface 1003 is mainly used for connecting user equipment; the dangerous driving intervention equipment calls a dangerous driving intervention program stored in a memory 1005 through a processor 1001 and executes the dangerous driving intervention method provided by the embodiment of the invention.
Based on the hardware structure, the embodiment of the dangerous driving intervention method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a dangerous driving intervention method according to a first embodiment of the present invention, and the dangerous driving intervention method according to the first embodiment of the present invention is proposed.
Step S10: when the intelligent wearable device is connected with the intelligent wearable device, body state information of a driver and a passenger uploaded by the intelligent wearable device is acquired.
It should be noted that the execution main body of the method in this embodiment may be a computer service device with data processing, network communication, and program running functions, such as a mobile phone, a tablet computer, a personal computer, and the like, and in this embodiment, the computer service device may be a vehicle machine, or other electronic devices capable of implementing the same or similar functions, which is not limited in this embodiment.
It should be understood that, because the driver cannot perceive the change of the body state of the driver in the driving process, the driver cannot timely find and take corresponding measures when the body state is abnormal, and the driver is caused to have some dangerous situations in the driving process due to the fact that the body is abnormal for a long time, and traffic accidents are easy to happen.
In order to overcome the above defects, in the present embodiment, the body state information of the driver is acquired through the intelligent wearable device, the driving behavior information and the driving image information are acquired when the body state information is abnormal, whether the driver can continue driving is determined based on the driving behavior information and the driving image information, and the intelligent driving function is started if the body state of the driver cannot continue driving.
It can be understood that the intelligent wearable device can be a smart watch or a smart bracelet, and the embodiment is not limited by contrast.
It should be noted that the connection between the smart device and the vehicle-mounted device may be transmitted in a bluetooth manner, or may be connected between the smart device and the vehicle-mounted device via a data line.
It should be understood that there are various functions of detecting the body information of the driver on the intelligent wearable device, such as blood oxygen value, heart rate, pressure value, etc.
It is understood that the occupants include both drivers and riders.
It should be noted that the body state information is a blood oxygen value, a heart rate value, and a stress index of the driver detected by the function app on the intelligent wearable device.
Step S20: and when the physical state information is used for judging that the physical state of the driver is abnormal, acquiring the driving behavior information and the driving image information of the driver.
It should be noted that the behavior information and the driving image information of the driver may be collected by a vehicle-mounted camera, or may be collected by a middle-wearing device. When the body state information of the driver uploaded to the vehicle machine by the intelligent wearable device is abnormal, the vehicle-mounted camera or the intelligent wearable device starts to acquire the driving behavior and the driving image information of the driver in real time.
It can be understood that whether the driver really has the uncomfortable condition of the body can be judged through the driving behavior information of the driver, for example, the driver can judge that the chest of the driver is stuffy or the heart is uncomfortable by covering the chest for a long time, and if the driver is only frightened, the intelligent wearable device detects that the heart rate is too high, the abnormal condition of the body state can be further judged according to the driving behavior information of the driver.
It should be noted that the driving image information is used for comparing with the image information on the driver's license, and if the comparison is successful, the basic information of the driver can be obtained.
It should be understood that when the physical state of the driver is abnormal, each abnormal type has corresponding measures and judgment conditions.
Step S30: and judging whether to start an intelligent driving function according to the driving behavior information and the driving image information.
It can be understood that the abnormal condition of the body state is judged through the driving behavior information and the uploaded abnormal data of the body state, the basic information of the driver is obtained according to the driving image information, and the family members can be contacted to request rescue after confirming that the abnormal condition of the body state of the driver.
It should be noted that, whether to start the intelligent driving function may be determined according to various abnormal threshold values, for example, when the heart rate has not reached the threshold value, a voice prompt may be performed, and when the threshold value is reached, the intelligent driving function needs to be started.
In the embodiment, when the intelligent wearable device is connected, the body state information of the driver and the passengers uploaded by the intelligent wearable device is acquired, when the body state of the driver is judged to be abnormal according to the body state information, the driving behavior information and the driving image information of the driver are acquired, and whether the intelligent driving function is started or not is judged according to the driving behavior information and the driving image information; according to the intelligent driving method and the intelligent driving system, the body state information of the driver is acquired through the intelligent wearable device, the driving behavior and the driving image information of the driver are acquired when the body state of the driver is abnormal, whether the intelligent driving mode is started or not is judged according to the driving behavior and the driving image information, the emergency situation of the driver in the driving process can be known, and reasonable relevant measures can be taken in time to prevent danger.
Referring to fig. 3, fig. 3 is a schematic flow chart of a dangerous driving intervention method according to a second embodiment of the present invention, which is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S30 includes:
step S301: and judging whether the driving behavior information is abnormal behavior information or not.
It should be understood that when heart rate and stress index are judged, parameters uploaded through the wearable device may cause inaccurate data, for example, a driver has a fast heartbeat due to emergency braking of a road condition, the heart rate reaches a threshold value, which is caused by interference of external factors, and the intelligent driving mode is not suitable to be automatically started when the driver is in a parking state.
In order to overcome the defects, according to the embodiment, after the body condition of the driver is judged to be abnormal, whether the body condition of the driver is really abnormal is further judged by collecting the driving behavior information of the driver, if the body condition of the driver is judged to be abnormal, the collected driving image information is matched with all driver face information of a driver information base, after the matching is successful, the driving age of the driver is obtained, and whether the intelligent driving function is automatically started is judged according to the driving age and the pressure index of the driver.
It is understood that the abnormal behavior information may be long time covering the chest, eastern view, western view, constant sweating, gasp with a large mouth, etc., and this embodiment is not limited by this.
It should be noted that, by judging whether the driving behavior information is abnormal behavior information, corresponding measures can be taken more accurately.
Further, in order to prevent the traffic accident from occurring due to fatigue driving, the step S301 of the present embodiment includes:
obtaining sedentary time and a blood oxygen value of the driver, and determining a first preset blood oxygen value corresponding to the sedentary time;
and when the sedentary time is greater than the preset sedentary time and the blood oxygen value is lower than the first preset blood oxygen value, automatically starting an intelligent driving function.
It should be noted that, the driver does not stop driving continuously, and the blood circulation of the body becomes slow due to no movement after sitting for a long time, the blood oxygen content in the brain is reduced, and the brain fatigue is accelerated. When the vehicle is driven in a fatigue state, traffic accidents are easy to happen.
It can be understood that in order to ensure the safety of drivers and pedestrians on the road, fatigue occurs under the condition of light hypoxia, so that the intelligent driving function is started when the light hypoxia occurs, and therefore, the first preset blood oxygen value is set between 90% and 94%.
It is understood that the preset sedentary time is generally set to 2-3 hours because the driver cannot be distracted to relax his body because the driving position can be moved in a small space.
It should be understood that, dizziness, whole body aching pain, inattention and dozing off can be caused when fatigue appears, and the contrast of this embodiment is not restricted, and these circumstances all can have the risk that the traffic accident appears, so in time adopt the intervention measure, open intelligent driving function promptly automatically.
Further, in order to prevent the driver from being inattentive due to high altitude reaction, step S301 of this embodiment may further include:
acquiring a current altitude, and determining a second preset blood oxygen value corresponding to the current altitude;
providing a nearest hospital navigation path when the blood oxygen value is lower than the second preset blood oxygen value.
It will be appreciated that the blood oxygen saturation is also different for different altitudes, and therefore a different second preset blood oxygen value is set for different altitudes.
It should be understood that patients with severe altitude sickness can not be treated by oxygen inhalation, and symptoms such as dizziness, vomiting, arrhythmia and the like can occur, and need to seek medical advice in time.
Step S302: and when the driving behavior information is abnormal behavior information, acquiring facial feature information of the driver from the driving image information.
It is understood that it is possible to further determine that a problem occurs in the physical condition of the driver when an abnormality occurs in the driving behavior.
The collected facial feature information may be the eyes, nose, mouth, face contour, etc. of the driver, or may include facial wrinkles, eye distances, nose bridge height, lip shape, etc. in addition to the above, and the present embodiment is not limited to this.
Step S303: and matching the facial feature information with a preset driver information base.
It should be noted that matching the facial feature information of the driver with the facial information in the driver information base is realized by calculating the distance of the gray-scale matrix of the facial feature information, and is developed based on the gray-scale values of the pixel points, so that the pixel values of important parts such as eyes, nose, and mouth are higher.
It can be understood that the driver information base can be the driver information base of the vehicle administration post which is recorded in the system when the driver license is sent, and can also be the driver information base of the public security system.
Step S304: and if the matching is successful, acquiring the driving age of the driver corresponding to the facial feature information from the preset driver information base.
It is understood that after the matching is successful, all information of the driver, such as the driver's license issuing time, the driver's age, the name, the year, month and day of birth, and the family contact method, can be obtained, which is not limited by this embodiment.
Step S305: and judging whether to automatically start the intelligent driving function according to the driving age of the driver and the pressure index of the driver.
It can be understood that, since the driver who just received the driver license cannot be operated skillfully and driving on the road alone is difficult and tense, whether to automatically turn on the smart driving mode can be determined according to the driving age of the driver and the pressure value of the driver.
It should be noted that the pressure index is detected by the automatic pressure detection function of the intelligent wearable device.
It should be appreciated that the smart driving function is automatically enabled if the driver's driving age is less than one year and the stress index reaches a preset stress value.
Further, in order to accurately determine whether to start the smart driving function, step S305 of this embodiment may include:
when the driving age of the driver is smaller than the preset driving age, acquiring the pressure index of the driver through an automatic pressure detection function;
and when the pressure index is greater than a preset pressure value, automatically starting an intelligent driving function.
It should be noted that the preset driving age may be set to be half a year or a year, and the present embodiment is not limited thereto.
It should be noted that the normal pressure index range is between 39 and 90, and is higher in the range of 85 to 90, and if the pressure value exceeds 90, the pressure value is higher, so the preset pressure value is generally set between 90 and 95, and the intelligent driving function is automatically started when the pressure value of the driver reaches the range.
In the embodiment, by judging whether the driving behavior information is abnormal behavior information or not, when the driving behavior information is abnormal behavior information, facial feature information of the driver is collected from the driving image information, the facial feature information is matched with a preset driver information base, if the matching is successful, the driving age of the driver corresponding to the facial feature information is obtained from the preset driver information base, and whether an intelligent driving function is automatically started or not is judged according to the driving age of the driver and the pressure index of the driver; according to the intelligent driving method and the intelligent driving device, when the driving behavior is abnormal, the driving age of the driver is acquired by comparing the face information of the driver, whether the intelligent driving function is automatically started or not is judged according to the acquired stress index of the driver, the intelligent driving function can be automatically started when the driver has nervous, anxious and uneasy moods, and traffic accidents caused by inattention of the driver due to the moods are prevented.
Referring to fig. 4, fig. 4 is a schematic flowchart of a dangerous driving intervention method according to a third embodiment of the present invention, and the third embodiment of the dangerous driving intervention method is proposed based on the second embodiment shown in fig. 3.
In the third embodiment, the step S301 includes:
step S3011: detecting a heart rate value of the driver.
It is understood that some drivers may have heart disease or may be nervous due to poor psychological quality of the drivers or may have irregular heartbeats due to accelerated heartbeats, and thus the drivers cannot continue to drive normally.
In order to overcome the defects, the embodiment performs voice reminding when the heart rate value is in a high index range for a long time by detecting the heart rate value of the driver, and performs call request rescue when the heart rate value is in a high heart rate threshold value.
It is understood that the heart rate value of the driver is detected by the heart rate detection function of the intelligent wearing device.
Step S3012: and outputting rest prompt information when the duration that the heart rate value is in the preset high index range is longer than the preset duration.
It will be appreciated that a normal heart rate of 60-100 beats per minute, with a typical heart rate of 60 beats per minute, and although a normal heart rate of 80-100 beats per minute is generally too fast, it is necessary to take a rest or take a drug to relieve when the heart rate is between 80-100 beats per minute for a long period of time.
It will be appreciated that the high index range of heart rate is set between 80-100 per minute and that if the driver has not yet relaxed for half an hour, a reminder is required, so the preset duration is set to be within half an hour.
Step S3013: and when the heart rate value is larger than a preset high heart rate threshold value, positioning the vehicle in real time and sending the vehicle to a manufacturer server of the vehicle, and requesting for rescue.
It should be noted that the heart rate may exceed 100 beats per minute due to the violent movement of the driver before driving, so that the high heart rate threshold is set at 150 beats per minute, and an emergency medical visit is required when the driver reaches or exceeds the threshold.
It can be understood that when the heart rate value of the driver is higher than the preset high heart rate value, the driver can have the situations of unconsciousness, chest pain, heart failure and the like and can not save oneself, so the real-time positioning of the vehicle can be sent to the server of the manufacturer, and the server of the manufacturer dials 120 to tell the current condition and position of the driver for rescue.
It is understood that the rescue request can be initiated to the manufacturer server, and the call can be made to the family of the relative of the driver.
Further, in order to prevent a traffic accident, the step S3013 of this embodiment may include:
outputting health inquiry information and acquiring response information fed back by the driver based on the health inquiry information;
when the response information is not acquired, monitoring the current speed and the stability of the vehicle;
and when the current vehicle speed is kept unchanged and the stability of the vehicle is reduced, or when the current vehicle speed is accelerated and the stability of the vehicle is reduced, automatically starting an intelligent driving function.
It will be appreciated that the driver is asked for health to determine whether the driver is still conscious and can stop the vehicle at a safe location.
It can be understood that if the vehicle starts to roll left and right, the stability is reduced and the vehicle speed does not have a tendency to stop, the current state of the driver can be further confirmed, thereby automatically turning on the smart driving function.
It should be noted that after the automatic driving function is started, driving is not continued, and a place suitable for parking is found as soon as possible to wait for rescue.
In the embodiment, by detecting the heart rate value of the driver, when the duration that the heart rate value is in a preset high index range is longer than a preset duration, rest prompt information is output, and when the heart rate value is larger than a preset high heart rate threshold, a vehicle is positioned and sent to a manufacturer server of the vehicle in real time and is requested to be rescued; according to the embodiment, the heart rate value is detected, corresponding management measures are taken when the heart rate value reaches the threshold value, the driver can be timely requested for rescue when the heart rate of the driver is abnormal, and personal safety of drivers and passengers and pedestrians on the road is guaranteed.
Referring to fig. 5, fig. 5 is a block diagram illustrating a dangerous driving intervention apparatus according to a first embodiment of the present invention, the dangerous driving intervention apparatus includes: the system comprises an information acquisition module 10, an information acquisition module 20 and a function starting module 30;
the information acquisition module 10 is configured to acquire body state information of a driver and a passenger, which is uploaded by the intelligent wearable device, when the connection is established with the intelligent wearable device;
the information acquisition module 20 is configured to acquire driving behavior information and driving image information of the driver when it is determined that the physical state of the driver is abnormal according to the physical state information;
the function starting module 30 is configured to determine whether to start the intelligent driving function according to the driving behavior information and the driving image information.
In the embodiment, when the intelligent wearable device is connected, the body state information of the driver and the passengers uploaded by the intelligent wearable device is acquired, when the body state of the driver is judged to be abnormal according to the body state information, the driving behavior information and the driving image information of the driver are acquired, and whether the intelligent driving function is started or not is judged according to the driving behavior information and the driving image information; according to the intelligent driving mode starting method and the intelligent driving mode starting device, the body state information of the driver is obtained through the intelligent wearable device, the driving behavior and the driving image information of the driver are obtained when the body state of the driver is abnormal, whether the intelligent driving mode is started or not is judged according to the driving behavior and the driving image information, the driver can know the emergency situation in the driving process, and reasonable relevant measures can be timely taken to prevent dangers.
A second embodiment of the dangerous driving intervention device of the invention is proposed on the basis of the above first embodiment of the dangerous driving intervention device of the invention.
In this embodiment, the function starting module 30 is further configured to determine whether the driving behavior information is abnormal behavior information.
Further, the function starting module 30 is further configured to collect facial feature information of the driver from the driving image information when the driving behavior information is abnormal behavior information.
Further, the function starting module 30 is further configured to match the facial feature information with a preset driver information base.
Further, the function starting module 30 is further configured to, if the matching is successful, obtain the driving age of the driver corresponding to the facial feature information from the preset driver information base.
Further, the function starting module 30 is further configured to determine whether to automatically start the intelligent driving function according to the driving age of the driver and the stress index of the driver.
Further, the function starting module 30 is further configured to obtain the pressure index of the driver through the pressure automatic detection function when the driving age of the driver is smaller than a preset driving age.
Further, the function starting module 30 is further configured to automatically start the intelligent driving function when the pressure index is greater than a preset pressure value.
Further, the function starting module 30 is further configured to detect a heart rate value of the driver.
Further, the function starting module 30 is further configured to output a rest prompt message when a duration that the heart rate value is in the preset high index range is longer than a preset duration.
Further, the function starting module 30 is further configured to, when the heart rate value is greater than a preset high heart rate threshold value, position and send the vehicle to a manufacturer server of the vehicle in real time, and request for rescue.
Further, the function starting module 30 is further configured to output health query information and obtain response information fed back by the driver based on the health query information.
Further, the function starting module 30 is further configured to monitor the current vehicle speed and the stability of the vehicle when the response information is not acquired.
Further, the function starting module 30 is further configured to automatically start the intelligent driving function when the current vehicle speed is kept unchanged and the stability of the vehicle is reduced, or when the current vehicle speed is accelerated and the stability of the vehicle is reduced.
Other embodiments or specific implementation manners of the dangerous driving intervention device of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A dangerous driving intervention method, characterized in that it comprises the steps of:
when connection with intelligent wearable equipment is established, body state information of a driver and a passenger uploaded by the intelligent wearable equipment is acquired;
when the physical state information is used for judging that the physical state of the driver is abnormal, acquiring the driving behavior information and the driving image information of the driver;
and judging whether to start an intelligent driving function according to the driving behavior information and the driving image information.
2. The dangerous driving intervention method of claim 1, wherein the step of determining whether to activate a smart driving function based on the driving behavior information and the driving image information comprises:
judging whether the driving behavior information is abnormal behavior information or not;
when the driving behavior information is abnormal behavior information, acquiring facial feature information of the driver from the driving image information;
matching the facial feature information with a preset driver information base;
if the matching is successful, acquiring the driving age of the driver corresponding to the facial feature information from the preset driver information base;
and judging whether to automatically start the intelligent driving function according to the driving age of the driver and the pressure index of the driver.
3. The hazardous driving intervention method of claim 2, wherein the step of determining whether to automatically turn on a smart driving function based on the driver's driving age and the driver's stress index comprises:
when the driving age of the driver is smaller than the preset driving age, acquiring the pressure index of the driver through an automatic pressure detection function;
and when the pressure index is greater than a preset pressure value, automatically starting an intelligent driving function.
4. The dangerous driving intervention method according to claim 2, wherein, after the step of determining whether the driving behavior information is abnormal behavior information, further comprising:
detecting a heart rate value of the driver;
when the duration of the heart rate value in the preset high index range is longer than the preset duration, outputting rest prompt information;
and when the heart rate value is larger than a preset high heart rate threshold value, positioning the vehicle in real time and sending the vehicle to a manufacturer server of the vehicle, and requesting for rescue.
5. The dangerous driving intervention method of claim 4, wherein after the step of sending a vehicle location to a manufacturer server of the vehicle in real time and requesting a rescue when the heart rate value is greater than a preset high heart rate threshold, the method further comprises:
outputting health inquiry information and acquiring response information fed back by the driver based on the health inquiry information;
when the response information is not acquired, monitoring the current vehicle speed and the stability of the vehicle;
and when the current vehicle speed is kept unchanged and the stability of the vehicle is reduced, or when the current vehicle speed is accelerated and the stability of the vehicle is reduced, automatically starting an intelligent driving function.
6. The dangerous driving intervention method according to any one of claims 2 to 5, wherein, after the step of determining whether the driving behavior information is abnormal behavior information, further comprising:
obtaining sedentary time and a blood oxygen value of the driver, and determining a first preset blood oxygen value corresponding to the sedentary time;
and when the sedentary time is greater than the preset sedentary time and the blood oxygen value is lower than the first preset blood oxygen value, automatically starting an intelligent driving function.
7. The dangerous driving intervention method according to any one of claims 2 to 5, wherein the step of determining whether the driving behavior information is abnormal behavior information is followed by further comprising
Acquiring a current altitude, and determining a second preset blood oxygen value corresponding to the current altitude;
providing a recent hospital navigation path when the blood oxygen value is lower than the second preset blood oxygen value.
8. A dangerous driving intervention apparatus, characterized in that the dangerous driving intervention apparatus comprises: a memory, a processor, and a dangerous driving intervention program stored on the memory and executable on the processor, the dangerous driving intervention program when executed by the processor implementing the dangerous driving intervention method of any one of claims 1 to 7.
9. A storage medium having stored thereon a dangerous driving intervention program which, when executed by a processor, implements a dangerous driving intervention method according to any one of claims 1 to 7.
10. A dangerous driving intervention apparatus, characterized in that it comprises: the system comprises an information acquisition module, an information acquisition module and a function starting module;
the information acquisition module is used for acquiring body state information of the driver and passengers uploaded by the intelligent wearable device when the intelligent wearable device is connected with the intelligent wearable device;
the information acquisition module is used for acquiring the driving behavior information and the driving image information of the driver when the body state abnormality of the driver is judged according to the body state information;
and the function starting module is used for judging whether to start the intelligent driving function according to the driving behavior information and the driving image information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210971166.2A CN115366881A (en) | 2022-08-12 | 2022-08-12 | Dangerous driving intervention method, equipment, storage medium and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210971166.2A CN115366881A (en) | 2022-08-12 | 2022-08-12 | Dangerous driving intervention method, equipment, storage medium and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115366881A true CN115366881A (en) | 2022-11-22 |
Family
ID=84065970
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210971166.2A Pending CN115366881A (en) | 2022-08-12 | 2022-08-12 | Dangerous driving intervention method, equipment, storage medium and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115366881A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115798021A (en) * | 2023-01-31 | 2023-03-14 | 中国民用航空飞行学院 | Method and system for detecting abnormal state of pilot before flight |
-
2022
- 2022-08-12 CN CN202210971166.2A patent/CN115366881A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115798021A (en) * | 2023-01-31 | 2023-03-14 | 中国民用航空飞行学院 | Method and system for detecting abnormal state of pilot before flight |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10160457B1 (en) | Vehicle occupant monitoring using infrared imaging | |
| US11225258B2 (en) | Safe driving assistance system | |
| US10864918B2 (en) | Vehicle and method for supporting driving safety thereof | |
| JP4191313B2 (en) | Accident suppression device | |
| EP2983147B1 (en) | Biometric monitoring and alerting for a vehicle | |
| WO2015175435A1 (en) | Driver health and fatigue monitoring system and method | |
| EP3264382B1 (en) | Safety driving system | |
| CN105144199A (en) | Imaging device based occupant monitoring system supporting multiple functions | |
| WO2005098777A1 (en) | Method and system for perceptual suitability test of a driver | |
| CN111540170A (en) | Emergency stop distress calling method and system based on health monitoring | |
| KR20180120901A (en) | Health care apparatus with a passenger physical condition measurement in a vehicle and method there of | |
| JP2007024543A (en) | Safety inspection system | |
| US11364801B2 (en) | System and method for detecting and preventing driving of a vehicle by a drunken driver | |
| US11751784B2 (en) | Systems and methods for detecting drowsiness in a driver of a vehicle | |
| US10297131B2 (en) | Providing safe mobility while detecting drowsiness | |
| CN115366881A (en) | Dangerous driving intervention method, equipment, storage medium and device | |
| Li et al. | Revealing driver psychophysiological response to emergency braking in distracted driving based on field experiments | |
| JP2019139466A (en) | Management support system | |
| CN112438728A (en) | Safe driving detection device and detection method | |
| CN112141117A (en) | Vehicle-mounted life detection method and system | |
| US11510612B2 (en) | Systems and methods for detecting alertness of an occupant of a vehicle | |
| JP6850764B2 (en) | Safe driving support system | |
| JP2018195249A (en) | Safety driving support device compatible with physical information of vehicle driver | |
| CN111002989A (en) | Driving safety monitoring method, vehicle-mounted terminal and computer readable storage medium | |
| JP2019200612A (en) | Safe drive supporting system |
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 |