CN113264009A - New energy automobile awakening system based on human behavior analysis - Google Patents

New energy automobile awakening system based on human behavior analysis Download PDF

Info

Publication number
CN113264009A
CN113264009A CN202110674443.9A CN202110674443A CN113264009A CN 113264009 A CN113264009 A CN 113264009A CN 202110674443 A CN202110674443 A CN 202110674443A CN 113264009 A CN113264009 A CN 113264009A
Authority
CN
China
Prior art keywords
behavior
vehicle
human body
data
human
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.)
Granted
Application number
CN202110674443.9A
Other languages
Chinese (zh)
Other versions
CN113264009B (en
Inventor
方文豪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Xiquan Software Technology Co ltd
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202110674443.9A priority Critical patent/CN113264009B/en
Publication of CN113264009A publication Critical patent/CN113264009A/en
Application granted granted Critical
Publication of CN113264009B publication Critical patent/CN113264009B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1176—Recognition of faces
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
    • B60R25/102—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T7/00—Brake-action initiating means
    • B60T7/12—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T2201/00—Particular use of vehicle brake systems; Special systems using also the brakes; Special software modules within the brake system controller
    • B60T2201/02—Active or adaptive cruise control system; Distance control
    • B60T2201/022—Collision avoidance systems

Abstract

The invention discloses a new energy automobile awakening system based on human body behavior analysis, which comprises a vehicle control unit and an awakening system, wherein the awakening system comprises a human body behavior acquisition system, a human body behavior classification system and an autonomous learning system, the awakening system is connected with the vehicle control unit and is connected with a cloud database, the human body behavior acquisition system acquires facial changes and limb actions of a human body, the human body behavior classification system combines the facial changes and the limb actions and classifies the facial changes and the limb actions according to the cloud database, the autonomous learning system stores the non-appeared human body behaviors and the taken driving actions and uploads the stored human body behaviors and the driving actions to the cloud database, the invention is scientific and reasonable and is safe and convenient to use, the awakening system sends different signals to the vehicle control unit according to the human body behaviors, when the human body behaviors are too violent, and the awakening system sends a braking signal to the vehicle control unit, so that traffic accidents are avoided.

Description

New energy automobile awakening system based on human behavior analysis
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to a new energy automobile awakening system based on human body behavior analysis.
Background
The new energy automobile adopts unconventional automobile fuel as a power source (or adopts conventional automobile fuel and a novel vehicle-mounted power device), integrates advanced technologies in the aspects of power control and driving of the automobile, and forms an automobile with advanced technical principle, new technology and new structure.
The new energy automobile comprises four types of Hybrid Electric Vehicles (HEV), pure electric vehicles (BEV, including solar vehicles), Fuel Cell Electric Vehicles (FCEV), other new energy (such as efficient energy storage devices like super capacitors and flywheels) automobiles and the like.
The new energy automobile awakening system is connected with a vehicle control unit in the new energy automobile, carries out data acquisition and data analysis on human behaviors outside and in the automobile through a behavior acquisition device, realizes keyless door opening and face recognition vehicle starting of the new energy automobile through data analysis, monitors the overstimulated human behaviors in vehicle running and carries out vehicle braking, and prevents traffic accidents caused by misoperation caused by the overstimulated behaviors.
Disclosure of Invention
The invention aims to provide a new energy automobile awakening system based on human behavior analysis, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a new energy automobile awakens system up based on human behavior analysis, this automobile awakens system up includes vehicle control unit, awakens system up, awaken system up and include human behavior collection system, human behavior classification system, autonomic learning system, awaken system and vehicle control unit connection, awaken system and high in the clouds database connection up, human behavior collection system gathers human facial expression and limbs action, human behavior classification system combines facial expression and limbs action and classifies according to the high in the clouds database, autonomic learning system preserves and uploads high in the clouds database to the driving action that human behavior that has not appeared and was taken, awaken system and send different control signal according to different human behaviors in to vehicle control unit up. The whole vehicle controller is the brain of an electric vehicle, the awakening system is connected with the whole vehicle controller, the human behavior acquisition system acquires data of behaviors outside and inside the vehicle, the human behavior classification system compares the data acquired by the human behavior acquisition system with the human behavior data in the cloud database and classifies the data according to vehicle data changes generated by the behaviors, the autonomous learning system autonomously learns the human behaviors which do not appear and the behavior data which do not exist in the cloud database and stores the data in the cloud database, the human behavior classification system in the awakening system sends different signals to the whole vehicle controller according to the behavior data acquired by the human behavior acquisition system, and when the human behavior is too violent or does not act for a long time and the distance between the human behavior and a front vehicle is continuously shortened, the awakening system sends braking signals to the whole vehicle controller to reduce the vehicle speed, thereby avoiding traffic accidents.
As a preferred technical scheme, the human behavior acquisition system comprises a plurality of groups of behavior collectors and a three-dimensional building module, wherein the behavior collectors collect behavior actions and facial changes of a human body, the behavior collectors transmit acquired data to the three-dimensional building module, and the three-dimensional building module analyzes, calculates and reconstructs the data to obtain a human three-dimensional model; the human body behavior classification system is connected with the cloud database, the human body behavior classification system is connected with the human body behavior acquisition system, the human body behavior classification system comprises a vehicle braking module and a vehicle-mounted air conditioner adjusting module, the human body behavior classification system classifies data acquired by the human body behavior acquisition system according to data in the cloud database, the vehicle braking module is connected with a whole vehicle controller, and the vehicle-mounted air conditioner adjusting module is connected with the whole vehicle controller; the autonomous learning system is respectively connected with the human behavior acquisition system and the human behavior classification system, and transmits data to the human behavior classification system according to the data acquired by the human behavior acquisition system and the driving behaviors. The behavior collector collects human behavior data, the behavior collector collects images of a human body and distance data between the behavior collector and the human body, the three-dimensional building module identifies, segments and three-dimensionally reconstructs the images of the human body and generates a three-dimensional model of the human body, the three-dimensional building module applies the distance between the human body and the collected data of the behavior collector to the reconstructed model to enable the three-dimensional model to be more real, the three-dimensional building module adjusts the three-dimensional model in real time according to the data transmitted by the behavior collector in real time to enable the three-dimensional model to change according to the change of the human body, the vehicle brake module and the vehicle-mounted air conditioner adjusting module are two modules of a human behavior classification system, the vehicle brake module sends vehicle brake signals to a vehicle controller to reduce the vehicle speed or emergently brake, and the vehicle-mounted air conditioner adjusting module sends air conditioner adjusting signals to the vehicle controller, and the vehicle control unit adjusts the temperature of the air conditioner to be high or low according to the air conditioner adjusting signal.
As a preferred technical scheme, the plurality of groups of behavior collectors comprise external behavior collectors; the external behavior collector collects data of behaviors of a human body outside the vehicle and data of distances between the human body and the vehicles on two sides during driving of the vehicle, the external behavior collector takes nose tips and wrists of the human body as data collecting points, and data sets B = { X, Y, Z | (X) are respectively established by the external behavior collector1，Y1，Z1），（X2，Y2，Z2），…，（XN，YN，ZN）}、S={x，y，z|（x1，y1，z1），（x2，y2，z2），…，（xn，yn，zn) The set B represents a data set of the position of the nose tip, X represents the left and right positions of the nose tip relative to the external behavior collector, Y represents the front and back positions of the nose tip relative to the external behavior collector, and Z represents the up and down positions of the nose tip relative to the external behavior collector; the set S represents a data set of wrist positions, x represents the left and right positions of the wrist relative to the external behavior collector, y represents the front and back positions of the wrist relative to the external behavior collector, and z represents the up and down positions of the wrist relative to the external behavior collector.
As a preferred technical means, theThe external behavior collector transmits the collected data to a three-dimensional building module, the three-dimensional building module calculates the vector distance between the wrist and the nose tip, and the vector distance between the wrist and the nose tip is calculated
Figure DEST_PATH_IMAGE002
And the external behavior collector measures the distance between the human body and the vehicle, the measured value of the distance is d, and when the external behavior collector collects that the vector distance L and the measured value d both meet the set value, the system is awakened to control the vehicle controller to open the vehicle door.
As a preferred technical scheme, the plurality of groups of behavior collectors further comprise an internal behavior collector; the internal behavior collector is used for collecting data of facial changes and limb behaviors of a human body in the car, the internal behavior collector is divided into a facial behavior collector and a limb behavior collector, the facial behavior collector is used for collecting real-time data of the human face, and nose tips, cheeks, earlobes and jaws of two sides in the human face are used as data collecting points which are respectively marked as B, L1、L2、E1、E2And I, the facial behavior collector collects images of the human face and collects real-time data of the distances between the human face and each collection point, and the distances between the facial behavior collector and each collection point are AB and AL in sequence1、AL2、AE1、AE2And AI, wherein A represents a position point of the facial behavior collector, the facial behavior collector transmits a face image and a distance between the face image and the collection point to the three-dimensional construction module, the three-dimensional construction module identifies, segments and three-dimensionally recombines the face image to form a face three-dimensional model, the three-dimensional construction module integrates distance data of each collection point into the face three-dimensional model, and the three-dimensional construction module adjusts the face three-dimensional model in real time according to real-time changed data. The internal behavior collector collects data of the face image and collects data of each collection point, the three-dimensional construction module combines the data of the collection points with the face image to enable a formed three-dimensional model of the face to be more authentic, and the three-dimensional construction model is changed according to the face imageAnd the change of the collected point data adjusts the human face three-dimensional model, so that the human face three-dimensional model is matched with the real human body change direction, and the human body behavior classification system can more accurately classify and process the human body behaviors.
As a preferred technical scheme, the limb behavior collector collects data of limb actions of a human body, the limb behavior collector collects data of arm actions, the limb behavior collector collects real-time image data of the limb actions and transmits the collected image data to the three-dimensional building module, the three-dimensional building module analyzes, segments and three-dimensionally recombines the image data, and the recombined limb three-dimensional model is combined with the human face three-dimensional model to form a complete human body behavior three-dimensional model. The body behavior collector collects data of the body actions of the upper half of the human body, the body behavior collector takes the arm as a data collecting point, the action analysis and classification of the human body behavior by the human body behavior classification system are more accurate by collecting the data of the arm actions, the three-dimensional construction module combines the body three-dimensional model with the human face three-dimensional model to form a three-dimensional model of the upper half of the human body, the human body behavior classification system can carry out comprehensive data comparison on the upper half of the human body by three-dimensional modeling of the upper half of the human body, so that the awakening signal sent by the awakening system is more accurate, and the phenomenon that the wrong awakening signal is sent to reduce the driving experience is avoided.
As a preferred technical scheme, the human behavior classification system performs behavior analysis on the model after the limb three-dimensional model and the human face three-dimensional model are combined, the human behavior classification system performs classification processing on the behavior of the model according to data stored in the cloud database and stores the behavior into the vehicle braking module, the vehicle braking module is electrically connected with the vehicle control unit, and when the human behavior in the model is consistent with the behavior data stored in the vehicle braking module, the vehicle braking module sends a vehicle braking signal to the vehicle control unit to reduce the running speed of the vehicle.
According to the preferable technical scheme, the vehicle braking module is connected with the cloud database, the vehicle braking module collects and stores human body behaviors causing traffic accidents in the cloud database, the external behavior collector monitors the distances between vehicles on two sides and the vehicle in front, the facial behavior collector collects data of the collection points, the limb behavior collector collects data of limbs, and when the data collected by the facial behavior collector and the limb behavior collector are kept unchanged and the distance collected by the external behavior collector and the vehicle in front is always shortened, the vehicle braking module transmits vehicle braking signals to the whole vehicle controller.
As a preferred technical scheme, the vehicle-mounted air conditioner adjusting module is electrically connected with the vehicle control unit, when the limb behavior collector collects that the arm swings back and forth on the face, and the facial data collected by the facial behavior collector do not change, the vehicle-mounted air conditioner adjuster performs data comparison with the human body three-dimensional model according to the data stored inside, and when the vehicle-mounted air conditioner adjusting module sends a signal to the vehicle control unit, the vehicle control unit adjusts the temperature of the air conditioner downwards.
As an optimal technical scheme, when the data collected by the human behavior collection system cannot be classified by the human behavior classification system, the autonomous learning system stores the facial behavior data and the limb behavior data collected by the human behavior collection system, and transmits the data collected by the human behavior collection system to the cloud database. The autonomous learning system stores the human behavior and driving behavior data which do not appear, and transmits the human behavior and driving behavior data to the cloud database, the human behavior classification system is compared with the behavior data in the autonomous learning system, when the human behavior classification system is matched with the behavior data, the human behavior classification system sends a control signal to the vehicle control unit, and the vehicle control unit controls the driving of the vehicle.
Compared with the prior art, the invention has the beneficial effects that:
1. when the key matching is unsuccessful and the external behavior collector collects that the vector distance L and the measured value d both meet the set value, the awakening system sends a safety warning message to the owner mobile phone or other mobile equipment through the wireless connection module, so that the vehicle can be prevented from being stolen.
2. When a person enters the vehicle, the facial behavior collector takes the nose tip and the cheeks on the two sides as initial calibration points, and the facial image collected by the facial behavior collector is a side face and AL1
Figure DEST_PATH_IMAGE004
AB
Figure 914608DEST_PATH_IMAGE004
AL2Or AL2
Figure 159645DEST_PATH_IMAGE004
AB
Figure 204961DEST_PATH_IMAGE004
AL1When the face of the person is not facing the front of the vehicle, the awakening system only collects face data and does not send any awakening instruction; when the facial behavior collector collects the front face image and AL1
Figure DEST_PATH_IMAGE006
AB
Figure 803433DEST_PATH_IMAGE006
AL2When the driver fastens the safety belt, the awakening system sends a vehicle starting signal to the vehicle control unit according to the data collected by the facial behavior collector, and the vehicle control unit starts the vehicle through the vehicle starting signal, so that the function of starting the vehicle through facial recognition is realized.
3. When the distance between the vehicle and the vehicles on the two sides is close to be collected by the external behavior collector and the distance between the vehicle and the vehicle in front is continuously shortened, the driver is reminded of reducing the speed by the awakening system, and when the driver does not reduce the speed after 3 seconds, the vehicle is emergently braked by the awakening system to send an emergency brake signal to the vehicle controller, so that the vehicle is prevented from being collided with the front vehicle, and traffic accidents are avoided.
Drawings
Fig. 1 is a schematic overall structure diagram of a new energy automobile wake-up system based on human behavior analysis according to the present invention;
FIG. 2 is a schematic structural diagram of a human behavior acquisition system of the new energy automobile wake-up system based on human behavior analysis;
fig. 3 is a schematic structural diagram of a human behavior classification system of a new energy vehicle wake-up system based on human behavior analysis.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b): as shown in figures 1-3, a new energy automobile wake-up system based on human behavior analysis comprises a vehicle control unit and a wake-up system, wherein the wake-up system comprises a human behavior acquisition system, a human behavior classification system and an autonomous learning system, the wake-up system is electrically connected with the vehicle control unit through a communication cable, the wake-up system is connected with a cloud database through a vehicle-mounted wireless connection module, the wake-up system is further connected with a mobile phone or other mobile equipment on the vehicle owner through a wireless connection module, the human behavior acquisition system acquires facial expressions and limb actions of a human body, the human behavior classification system combines the facial expressions and the limb actions and classifies the facial expressions and the limb actions according to the cloud database, the autonomous learning system stores the non-appeared human behaviors and the taken driving actions and uploads the human behaviors and the taken driving actions to the cloud database, and the awakening system sends different control signals to the vehicle control unit according to different human body behaviors.
The cloud database is human behavior data of a human body in the network big data in the driving process, the data in the cloud database comprises human behavior data causing car accidents and human behavior data adjusting a vehicle-mounted air conditioner, the awakening system is a microcomputer system carrying three-dimensional building software, and the human behavior acquisition system, the human behavior classification system and the autonomous learning system are all partial processing systems in the microcomputer system.
The human body behavior acquisition system comprises a plurality of groups of behavior collectors and a three-dimensional construction module, the plurality of groups of behavior collectors are miniature cameras, the three-dimensional construction module is a computer processing module in a microcomputer system and internally provided with three-dimensional construction software, the plurality of groups of behavior collectors are connected with the three-dimensional construction module through communication cables, the plurality of groups of behavior collectors collect behavior actions and facial changes of a human body, the behavior collectors transmit the collected data to the three-dimensional construction module, and the three-dimensional construction module analyzes, calculates and reconstructs the data to form a human body three-dimensional model;
the plurality of groups of behavior collectors comprise external behavior collectors and internal behavior collectors, the external behavior collectors are arranged on the outer sides of the vehicles, such as positions above vehicle doors and front windshields, the internal behavior collectors are arranged in the vehicles, and the specific positions can be arranged according to actual requirements;
the external behavior collector collects data of behaviors of a human body outside the vehicle and data of distances between the human body and the vehicles on two sides during driving of the vehicle, the external behavior collector takes nose tips and wrists of the human body as data collection points, and data sets B = { X, Y, Z | (X) are respectively established by the external behavior collector1，Y1，Z1），（X2，Y2，Z2），…，（XN，YN，ZN）}、S={x，y，z|（x1，y1，z1），（x2，y2，z2），…，（xn，yn，zn) And B, wherein the set B represents a data set of the position of the nose tip, X represents the left and right positions of the nose tip relative to the external behavior collector, and Y represents the nose tipThe front and back positions relative to the external behavior collector, and Z represents the upper and lower positions of the nose tip relative to the external behavior collector; the set S represents a data set of wrist positions, x represents the left and right positions of the wrist relative to the external behavior collector, y represents the front and back positions of the wrist relative to the external behavior collector, and z represents the up and down positions of the wrist relative to the external behavior collector.
The external behavior collector transmits the collected data to a three-dimensional building module, the three-dimensional building module calculates the vector distance between the wrist and the nose tip, and the vector distance between the wrist and the nose tip is calculated
Figure 883384DEST_PATH_IMAGE002
The distance between the human body and the vehicle is measured by the external behavior collector, the measured value is d, after the awakening system is successfully matched with the vehicle owner mobile phone or other mobile equipment through the wireless connection module, when the vector distance L and the measured value d which are collected by the external behavior collector meet the set value, the awakening system controls the vehicle controller to open the vehicle door, the set value is a numerical value which is set by a vehicle driver by the vehicle driver, and when the key is not successfully matched and the vector distance L and the measured value d which are collected by the external behavior collector meet the set value, the awakening system sends a safety warning message to the vehicle owner mobile phone or other mobile equipment through the wireless connection module, so that the vehicle can be prevented from being stolen.
The internal behavior collector is used for collecting data of facial changes and limb behaviors of a human body in the car, the internal behavior collector is divided into a facial behavior collector and a limb behavior collector, the facial behavior collector is used for collecting real-time data of the human face, and nose tips, cheeks on two sides, earlobes on two sides and jaws in the human face are used as data collecting points which are respectively marked as B, L1、L2、E1、E2And I, the facial behavior collector collects images of the human face and collects real-time data of the distances between the human face and each collection point, and the distances between the facial behavior collector and each collection point are AB and AL in sequence1、AL2、AE1、AE2AI, where A represents the facial behavior collectorThe human face three-dimensional model is formed by integrating distance data of all the acquisition points into the human face three-dimensional model, and the three-dimensional construction module adjusts the human face three-dimensional model in real time according to real-time changing data.
The body behavior collector collects data of the body actions of the upper half of the human body, the body behavior collector collects data of the arm actions, the body behavior collector collects real-time image data of the body actions and transmits the collected image data to the three-dimensional building module, the three-dimensional building module analyzes, segments and three-dimensionally recombines the image data, and the recombined three-dimensional body model is combined with the three-dimensional human face model to form a complete three-dimensional human body behavior model.
When a person enters the vehicle, the facial behavior collector takes the nose tip and the cheeks on the two sides as initial calibration points, and the facial image collected by the facial behavior collector is a side face and AL1
Figure 33743DEST_PATH_IMAGE004
AB
Figure 566355DEST_PATH_IMAGE004
AL2Or AL2
Figure 968518DEST_PATH_IMAGE004
AB
Figure 902976DEST_PATH_IMAGE004
AL1When the face of the person is not facing the front of the vehicle, the awakening system only collects face data and does not send any awakening instruction;
when the facial behavior collector collects the front face image and AL1
Figure 896340DEST_PATH_IMAGE006
AB
Figure 978565DEST_PATH_IMAGE006
AL2When the driver fastens the safety belt, the awakening system sends a vehicle starting signal to the vehicle control unit according to the data collected by the facial behavior collector, and the vehicle control unit starts the vehicle through the vehicle starting signal, so that the function of starting the vehicle through facial recognition is realized.
The human behavior classification system comprises a computer processor independent of the microcomputer system, the computer processor in the human behavior classification system is connected with a cloud database, the computer processor is connected with a three-dimensional building module in the human behavior acquisition system through a communication cable, the human behavior classification system also comprises a vehicle braking module, a vehicle-mounted air conditioning adjusting module and a vehicle starting module, the vehicle braking module, the vehicle-mounted air conditioning adjusting module and the vehicle starting module are respectively and electrically connected with the computer processor through the communication cable, the computer processor analyzes data acquired by the human behavior acquisition system according to the data in the cloud database, the vehicle braking module is connected with a whole vehicle controller, the vehicle-mounted air conditioning adjusting module is connected with the whole vehicle controller, the vehicle starting module is connected with the whole vehicle controller, and the vehicle braking module sends a vehicle braking signal to the whole vehicle controller, the vehicle-mounted air conditioner adjusting module sends an air conditioner temperature adjusting signal to the vehicle controller to enable the temperature of the vehicle-mounted air conditioner to be adjusted up or down, and the vehicle starting module sends a vehicle starting signal to the vehicle controller to enable the vehicle to be started without a key.
The human behavior classification system carries out behavior analysis on the model after the limb three-dimensional model and the human face three-dimensional model are combined through the computer processor, the human behavior classification system carries out classification processing on the behavior of the model through the computer processor according to data stored in the cloud database, when the human behavior in the model is consistent with the human behavior needing vehicle braking in the cloud database, the computer processor stores the human behavior into the vehicle braking module, the vehicle braking module monitors the human behavior data collected in the human behavior collection system, and when the human behavior is consistent with the human behavior in the vehicle braking module, the vehicle braking module sends a vehicle braking signal to the whole vehicle controller, so that the driving speed of the vehicle is reduced.
Meanwhile, the computer processor collects human body behaviors causing car accidents in the cloud database and stores the human body behaviors into the vehicle brake module, the external behavior collector monitors the distances between the vehicles on two sides and the front vehicle, the face behavior collector collects data of the collection points, the limb behavior collector collects data of limbs, when the data collected by the face behavior collector and the limb behavior collector are kept unchanged and the distance between the data collected by the external behavior collector and the front vehicle is shortened all the time, the vehicle brake module transmits a vehicle brake signal into the vehicle control unit, the vehicle control unit decelerates the vehicle and simultaneously awakens the system to remind the vehicle of changing lanes to prevent the vehicle from rear-end collision with the front vehicle, when the distance between the vehicle on two sides and the front vehicle is collected by the external behavior collector and is continuously drawn close to the front vehicle, the awakening system gives a deceleration prompt to the driver, and when the driver does not give deceleration treatment after 3 seconds, the awakening system sends an emergency brake signal to the whole vehicle controller to enable the vehicle to brake emergently so as to prevent the vehicle from colliding with a front vehicle, thereby avoiding traffic accidents.
The limb behavior collector collects that the arm swings back and forth on the face, and when the facial data collected by the facial behavior collector do not change, the computer processor compares the action of the human three-dimensional model in the human behavior collection system with the data in the cloud database, when the computer processor matches the action to adjust the air conditioner, the computer processor stores the action data in the vehicle-mounted air conditioner adjusting module, the vehicle-mounted air conditioner adjusting module compares the action of the human three-dimensional model according to the data, when the stored data are matched, the vehicle-mounted air conditioner adjusting module sends a signal to the vehicle controller, and the vehicle controller adjusts the temperature of the air conditioner downwards or upwards.
The autonomous learning system is respectively connected with a computer processor in the human behavior acquisition system and a three-dimensional building module in the human behavior classification system through communication cables, and transmits data to the computer in the human behavior classification system according to the data acquired by the human behavior acquisition system and the driving behaviors.
When the data collected by the human behavior collection system cannot be classified by the computer processor, the facial behavior data and the limb behavior data collected by the human behavior collection system are stored by the autonomous learning system, and meanwhile, the data collected by the human behavior collection system are transmitted to the cloud database.
When the human behavior is in accordance with the behavior data of the autonomous learning system, the autonomous learning system sends an instruction to the vehicle control unit, so that the vehicle control unit controls the vehicle.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (3)

1. The utility model provides a new energy automobile awakens system up based on human behavioral analysis, includes vehicle control unit, its characterized in that: the automobile awakening system further comprises an awakening system, wherein the awakening system comprises a human body behavior acquisition system, a human body behavior classification system and an autonomous learning system, the awakening system is connected with the whole automobile controller and is connected with the cloud database, the human body behavior acquisition system acquires facial expressions and limb actions of a human body, the human body behavior classification system combines the facial expressions and the limb actions and classifies the facial expressions and the limb actions according to the cloud database, the autonomous learning system stores the human body actions which do not appear and the taken driving actions and uploads the human body actions to the cloud database, and the awakening system sends different control signals to the whole automobile controller according to different human body actions;
the human body behavior acquisition system comprises a plurality of groups of behavior collectors and a three-dimensional construction module, wherein the behavior collectors collect behavior actions and facial changes of a human body, the behavior collectors transmit acquired data to the three-dimensional construction module, and the three-dimensional construction module analyzes and calculates the data and reconstructs a three-dimensional model of the human body;
the human body behavior classification system is connected with the cloud database, the human body behavior classification system is connected with the human body behavior acquisition system, the human body behavior classification system comprises a vehicle braking module and a vehicle-mounted air conditioner adjusting module, the human body behavior classification system classifies data acquired by the human body behavior acquisition system according to data in the cloud database, the vehicle braking module is connected with a whole vehicle controller, and the vehicle-mounted air conditioner adjusting module is connected with the whole vehicle controller; the autonomous learning system is respectively connected with the human behavior acquisition system and the human behavior classification system,
the autonomous learning system transmits data to the human behavior classification system according to the data acquired by the human behavior acquisition system and the driving behaviors;
the plurality of groups of behavior collectors also comprise internal behavior collectors;
the internal behavior collector is used for collecting data of facial changes and limb behaviors of a human body in the car, the internal behavior collector is divided into a facial behavior collector and a limb behavior collector, the facial behavior collector is used for collecting real-time data of the human face, and nose tips, cheeks, earlobes and jaws of two sides in the human face are used as data collecting points which are respectively marked as B, L1、L2、E1、E2And I, the facial behavior collector collects images of the human face and collects real-time data of the distances between the human face and each collection point, and the distances between the facial behavior collector and each collection point are AB and AL in sequence1、AL2、AE1、AE2AI, wherein A represents the faceThe human face three-dimensional model is formed by integrating distance data of all the acquisition points into the human face three-dimensional model, and the three-dimensional construction module adjusts the human face three-dimensional model in real time according to real-time changed data;
when a person enters the vehicle, the facial behavior collector takes the nose tip and the cheeks on the two sides as initial calibration points, and the facial image collected by the facial behavior collector is a side face and AL1>AB>AL2Or AL2>AB>AL1When the face of the person is not facing the front of the vehicle, the awakening system only collects face data and does not send any awakening instruction;
when the facial behavior collector collects the front face image and AL1=AB=AL2When the driver fastens the safety belt, the awakening system sends a vehicle starting signal to the vehicle control unit according to the data collected by the facial behavior collector, and the vehicle control unit starts the vehicle through the vehicle starting signal, so that the function of starting the vehicle through facial recognition is realized;
the vehicle-mounted air conditioner adjusting module is electrically connected with the vehicle control unit, when the limb behavior collector collects the arm to swing back and forth on the face, and the facial data collected by the facial behavior collector do not change, the vehicle-mounted air conditioner adjuster carries out data comparison on the human body three-dimensional model according to the data stored inside, the vehicle-mounted air conditioner adjusting module sends a signal to the vehicle control unit, and the vehicle control unit adjusts the temperature of the air conditioner downwards or upwards.
2. The new energy automobile awakening system based on human behavior analysis of claim 1, characterized in that: the plurality of groups of behavior collectors comprise external behavior collectors; the external behavior collector is used for collecting data of the behavior of the human body outside the vehicle and collecting data of the distance between the vehicle and the vehicle on two sides during the running of the vehicle, and the external behavior collector is used for collecting data of the behavior of the human body outside the vehicleThe department behavior collector takes the nose tip and the wrist of a human body as data collecting points, and respectively establishes a data set B = { X, Y, Z | (X)1，Y1，Z1），（X2，Y2，Z2），…，（XN，YN，ZN）}、S={x，y，z|（x1，y1，z1），（x2，y2，z2），…，（xn，yn，zn) The set B represents a data set of the position of the nose tip, X represents the left and right positions of the nose tip relative to the external behavior collector, Y represents the front and back positions of the nose tip relative to the external behavior collector, and Z represents the up and down positions of the nose tip relative to the external behavior collector; the set S represents a data set of wrist positions, x represents the left and right positions of the wrist relative to the external behavior collector, y represents the front and back positions of the wrist relative to the external behavior collector, and z represents the up and down positions of the wrist relative to the external behavior collector.
3. The new energy automobile awakening system based on human behavior analysis as claimed in claim 2, characterized in that: the external behavior collector transmits the collected data to a three-dimensional building module, the three-dimensional building module calculates the vector distance between the wrist and the nose tip, and the vector distance between the wrist and the nose tip is calculated
Figure DEST_PATH_IMAGE001
And the external behavior collector measures the distance between the human body and the vehicle, the measured value of the distance is d, and when the external behavior collector collects that the vector distance L and the measured value d both meet the set value, the system is awakened to control the vehicle controller to open the vehicle door.
CN202110674443.9A 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis Active CN113264009B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110674443.9A CN113264009B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010363460.6A CN111516642B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis
CN202110674443.9A CN113264009B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CN202010363460.6A Division CN111516642B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis

Publications (2)

Publication Number Publication Date
CN113264009A true CN113264009A (en) 2021-08-17
CN113264009B CN113264009B (en) 2022-08-05

Family

ID=71908572

Family Applications (2)

Application Number Title Priority Date Filing Date
CN202110674443.9A Active CN113264009B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis
CN202010363460.6A Active CN111516642B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN202010363460.6A Active CN111516642B (en) 2020-04-30 2020-04-30 New energy automobile awakening system based on human behavior analysis

Country Status (1)

Country Link
CN (2) CN113264009B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114202965B (en) * 2022-02-18 2022-05-17 上海齐感电子信息科技有限公司 Driving assistance method and device, vehicle-mounted terminal and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030142849A1 (en) * 1996-05-15 2003-07-31 Lemelson Jerome H. Vehicle security systems and methods employing facial recognition using a reflected image
JP2005119528A (en) * 2003-10-17 2005-05-12 Alpine Electronics Inc Face image processing device for vehicle
CN101986328A (en) * 2010-12-06 2011-03-16 东南大学 Local descriptor-based three-dimensional face recognition method
CN104102183A (en) * 2013-04-13 2014-10-15 王斌 Intelligent household gesture control method and apparatus
CN108674365A (en) * 2018-03-29 2018-10-19 斑马网络技术有限公司 Identification device and Car's door controlling method for automobile
CN110171389A (en) * 2019-05-15 2019-08-27 广州小鹏汽车科技有限公司 A kind of setting bootstrap technique, onboard system and vehicle that face logs in
CN110182174A (en) * 2019-05-27 2019-08-30 深圳市赛格车圣科技有限公司 Vehicle key-free based on recognition of face enters and activation system
CN110751009A (en) * 2018-12-20 2020-02-04 北京嘀嘀无限科技发展有限公司 Face recognition method, target recognition device and electronic equipment

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4492128C2 (en) * 1993-03-31 2003-01-02 Automotive Tech Int Position and speed sensor for vehicle occupants
JPH07144653A (en) * 1993-11-24 1995-06-06 Nissan Motor Co Ltd Controller of quantity of yawing momentum of vehicle
DE102017216837A1 (en) * 2017-09-22 2019-03-28 Audi Ag Gesture and facial expression control for a vehicle
CN108297864A (en) * 2018-01-25 2018-07-20 广州大学 The control method and control system of driver and the linkage of vehicle active safety technologies

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030142849A1 (en) * 1996-05-15 2003-07-31 Lemelson Jerome H. Vehicle security systems and methods employing facial recognition using a reflected image
JP2005119528A (en) * 2003-10-17 2005-05-12 Alpine Electronics Inc Face image processing device for vehicle
CN101986328A (en) * 2010-12-06 2011-03-16 东南大学 Local descriptor-based three-dimensional face recognition method
CN104102183A (en) * 2013-04-13 2014-10-15 王斌 Intelligent household gesture control method and apparatus
CN108674365A (en) * 2018-03-29 2018-10-19 斑马网络技术有限公司 Identification device and Car's door controlling method for automobile
CN110751009A (en) * 2018-12-20 2020-02-04 北京嘀嘀无限科技发展有限公司 Face recognition method, target recognition device and electronic equipment
CN110171389A (en) * 2019-05-15 2019-08-27 广州小鹏汽车科技有限公司 A kind of setting bootstrap technique, onboard system and vehicle that face logs in
CN110182174A (en) * 2019-05-27 2019-08-30 深圳市赛格车圣科技有限公司 Vehicle key-free based on recognition of face enters and activation system

Also Published As

Publication number Publication date
CN111516642B (en) 2021-11-30
CN113264009B (en) 2022-08-05
CN111516642A (en) 2020-08-11

Similar Documents

Publication Publication Date Title
CN110077414A (en) A kind of vehicle driving safety support method and system based on driver status monitoring
CN104408878B (en) Vehicle fleet fatigue driving early warning monitoring system and method
CN106691443B (en) Wearable driver fatigue-prevention intelligent monitoring and early warning system based on electroencephalogram
CN206561805U (en) A kind of anti-fatigue-driving car-mounted device
CN107146412A (en) A kind of vehicle on highway anticollision early warning generalized variable construction method based on car networking
CN111329497A (en) Wearable fatigue driving monitoring system and method based on forehead electroencephalogram signals
CN109649316A (en) A kind of distress system and method based on vehicle collision class accident
CN113264009B (en) New energy automobile awakening system based on human behavior analysis
CN207601622U (en) A kind of pure electric automobile intelligent network joins IVCU control systems
Chen et al. Vehicle safety distance warning system: A novel algorithm for vehicle safety distance calculating between moving cars
CN203832484U (en) Control device for guaranteeing safe running
CN203941599U (en) Prevent the device of driver's drowsiness
CN111547063A (en) Intelligent vehicle-mounted emotion interaction device for fatigue detection
CN108010269A (en) A kind of driving based on car networking is divert one's attention monitoring, early warning system and method
CN114735010B (en) Intelligent vehicle running control method and system based on emotion recognition and storage medium
CN211427470U (en) Fatigue driving reminding device
CN111137136A (en) Brake response method and system for pure electric drive vehicle
CN106274777B (en) Intelligent safety monitoring method for in-car safety seat
CN203149771U (en) A fatigue driving caution system
CN212439664U (en) Steam refreshing and CO gas detection device based on cloud platform
CN108657150A (en) A kind of electric vehicle brake control system with active safety
CN113141392A (en) Man-vehicle interconnection interactive system based on LoRaWAN network
CN204915555U (en) Electric automobile of remote monitoring
CN115384363A (en) Car seat intelligent regulation system based on posture discernment
CN205433685U (en) Tired detecting system of driver based on surface electromyography technique

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
TA01 Transfer of patent application right

Effective date of registration: 20220708

Address after: Room 2011, building 1, No.35, Shishan Road, high tech Zone, Suzhou, Jiangsu 215000

Applicant after: SUZHOU XIQUAN SOFTWARE TECHNOLOGY Co.,Ltd.

Address before: 215000 No. 412, Keke Road, high tech Zone, Suzhou City, Jiangsu Province

Applicant before: Fang Wenhao

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant