CN111189450A - Automatic detection method, equipment and storage medium for children loss in smart community - Google Patents
Automatic detection method, equipment and storage medium for children loss in smart community Download PDFInfo
- Publication number
- CN111189450A CN111189450A CN201911097656.9A CN201911097656A CN111189450A CN 111189450 A CN111189450 A CN 111189450A CN 201911097656 A CN201911097656 A CN 201911097656A CN 111189450 A CN111189450 A CN 111189450A
- Authority
- CN
- China
- Prior art keywords
- child
- target
- joint point
- emotion
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 12
- 230000008451 emotion Effects 0.000 claims abstract description 56
- 238000000034 method Methods 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 230000006399 behavior Effects 0.000 claims description 6
- 230000005484 gravity Effects 0.000 claims description 5
- 230000036651 mood Effects 0.000 claims description 4
- 210000003423 ankle Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 210000001624 hip Anatomy 0.000 description 3
- 210000003127 knee Anatomy 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000002996 emotional effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 210000000115 thoracic cavity Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
- G01S19/16—Anti-theft; Abduction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
- G01S19/17—Emergency applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses an automatic detection method, equipment and a storage medium for the loss of children in a smart community, wherein the automatic detection method for the loss of the children in the smart community comprises the following steps: when the child distance of the target child is detected to be smaller than the preset target distance, the target child has the possibility of losing, and meanwhile, the existence of various loss factors is concurrent, and various loss factors of the child track, the child action and the child emotion of the target child are obtained; when the child track is inconsistent with the preset target track, the child action is inconsistent with the preset target action, and the child emotion is inconsistent with the preset target emotion, it is determined that the target child is lost, so that the accuracy of detecting the child loss in the smart community is improved.
Description
Technical Field
The invention relates to the field of data processing of smart communities, in particular to an automatic detection method for children loss in a smart community, computer equipment and a readable storage medium.
Background
With the social children loss rate becoming higher and higher, the safety of children in the smart community becomes more and more important.
In traditional methods, under the general condition, children wear supervisory equipment, and when supervisory equipment detected that children are outside preset regional scope, supervisory equipment lost early warning information with children and sent to children's supervisors, but, when children were in this preset regional scope, the condition that children lost also can take place to lead to detecting that the accuracy that children lost in the wisdom community is low.
Therefore, finding an accurate method for detecting the loss of children in an intelligent community is an urgent problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the invention provides a method, computer equipment and a readable storage medium, which are used for solving the problem of low accuracy of detecting the loss of children in an intelligent community.
An automatic detection method for children loss in a smart community comprises the following steps:
when detecting that the target child is not in a preset target area, acquiring a child track of the target child;
acquiring child actions of the target child;
acquiring the child emotion of the target child;
and when the child track is inconsistent with a preset target track, the child action is inconsistent with a preset target action, and the child emotion is inconsistent with a preset target emotion, determining that the target child is lost.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
In the automatic detection method, the computer device and the readable storage medium for child loss in the intelligent community, when the child distance of the target child is detected to be smaller than the preset target distance, the target child has the possibility of loss, and meanwhile, the existence of various loss factors is concurrent, and various loss factors of the child track, the child action and the child emotion of the target child are obtained; when the child track is inconsistent with the preset target track, the child action is inconsistent with the preset target action, and the child emotion is inconsistent with the preset target emotion, it is determined that the target child is lost, so that the accuracy of detecting the child loss in the smart community is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a diagram illustrating an application environment of a method for automatically detecting a child loss in an intelligent community according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for automatically detecting the loss of children in an intelligent community according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the invention.
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 some, not all, embodiments of the present invention. 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.
The method provided by the application can be applied to an application environment as shown in fig. 1, where the application environment includes a server and a client, and the client communicates with the server through a wired network or a wireless network. Among other things, the client may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented by an independent server or a server cluster composed of a plurality of servers. The client is used for collecting the child geographic position of the target child, the target time for reaching the child geographic position and the child action, the server is used for recognizing the child emotion based on the child action, and meanwhile, whether the target child is lost or not is determined based on the child geographic position, the target time and the child action.
In an embodiment, as shown in fig. 2, an automatic detection method for children loss in a smart community is provided, which is described by taking the application of the automatic detection method for children loss in a smart community to the server in fig. 1 as an example, and includes the following steps:
and S10, when the target child is detected to be in the preset target area, acquiring the child track of the target child.
Specifically, in order to accurately detect whether children are lost in the smart community, a positioning technology of a client is adopted to collect each target geographic position of the target children moving in the smart community, the collected target geographic positions are sent to a server through a network, the server receives the target geographic positions in real time and calculates the closest distance between the target geographic positions and the boundary of a preset target area, then a storage address of a safe distance value is obtained in a preset distance database, the safe distance value is extracted according to the storage address, whether the closest distance is greater than the safe distance or not is judged, when the closest distance is greater than the safe distance, the target children are determined not to be in the target area, the target children are determined to be lost, and meanwhile, a child loss early warning instruction is output, namely, the server generates a child loss early warning instruction, and simultaneously sends the child loss warning instruction to the client carried by a supervisor supervising the target children, and when the client carried by the supervisor supervising the target child receives the child loss early warning instruction, outputting the child loss early warning instruction. For example, if the client is a smart watch, the nearest distance is 300 meters, the safety distance is 250 meters, and obviously 300 is greater than 250, it is determined that the target child is not in the target area, and it is determined that the target child is lost, and "hello, a child in charge is not in the safety range at present, and you call and find the child" are output. The positioning technology can be Beidou navigation, GPS positioning or gyroscope positioning and the like.
When the nearest distance is smaller than or equal to the safety distance, namely when the target child is detected to be in a preset target area, acquiring target time for the target child to reach each target geographic position; according to the sequence of the target time, the preset connecting lines are adopted to connect all the target geographic positions to obtain the child track, and the motion condition of the target child can be reflected in real time through the child track so as to accurately detect whether the target child is lost or not.
It should be noted that the distance database is a MySQL database or an oracle database, and the specific contents of the positioning technology, the distance database, and the child loss warning instruction may be set according to practical applications, and are not limited herein.
And S20, acquiring the child action of the target child.
Specifically, when a target child has a dangerous accident, in general, there are resistance and struggle in behavior and motion, for example, when the target child encounters a kidnapping, the target child will struggle forcefully, so the child motion of the target child needs to be acquired, so as to accurately detect whether the target child is lost, that is, the designated client is adopted to scan joint point coordinates of child joint points of the target child, and meanwhile, joint point coordinates of the child joint points are acquired; then, based on the joint point coordinates, calculating the joint point distance between the child joint points by adopting a preset distance calculation method; namely, substituting the joint point coordinates into a joint point distance calculation formula to obtain the joint point distance between the child joint points; the distance calculation formula is specifically as follows:
wherein x isiIs an abscissa, y, of a child joint point in a rectangular coordinate system of a target spaceiIs a longitudinal coordinate, z, of a child joint point in a rectangular coordinate system of a target spaceiIs a vertical coordinate, x, of a child joint point in a rectangular coordinate system of a target spacejFor the abscissa, y, of another child joint point in a rectangular coordinate system of the target spacejIs the ordinate, z, of another child joint point in a rectangular coordinate system of a target spacejTargeting another child's jointAnd (4) vertical coordinates in the space rectangular coordinate system. The joint point distance between the child joint points can be quickly and accurately obtained by substituting the joint point coordinates into the joint point distance calculation formula, and the efficiency of obtaining the joint point distance is improved.
Then, based on the joint point distance, calculating the joint point included angle between joint point connecting lines connecting the joint points of the children by adopting a preset included angle calculation method; namely, the calculated joint point distance is substituted into a joint point included angle calculation formula to obtain a joint point included angle between joint point connecting lines connecting the child joint points; the joint point included angle calculation formula is specifically as follows:
wherein, theta is the joint point included angle between adjacent joint point connecting lines, a is the joint point distance of one joint point connecting line in the adjacent joint point connecting lines, b is the joint point distance of the other joint point connecting line in the adjacent joint point connecting lines, and c is the joint point distance of the non-adjacent joint point connecting lines. The joint point included angle can be quickly and accurately obtained by substituting the joint point distance into a joint point included angle calculation formula, and the efficiency of the joint point included angle is improved. And finally, acquiring the behavior corresponding to the joint angle based on the preset corresponding relation of the included angle actions, and determining the behavior as the child action. The server side is preset with a corresponding relation between joint point included angles and behavior actions, the joint point coordinates are coordinates of child joint points, the child joint points are joint points of target children, joint point distances are distances between the child joint points, the joint point included angles are included angles formed between joint point connecting lines, and the joint point connecting lines are connecting lines connecting the child joint points.
For better understanding of step S20, the following description is given by way of example, specifically as follows:
for example, normally, the angle between the hip, knee and ankle of the target child is approximately 180 degrees, and if the angle between the hip, knee and ankle is 120 degrees, the child action of the target child is determined as squat by being about 160 degrees from the hip, knee and ankle during historical squat, obviously 120 degrees being less than 160 degrees.
And S30, acquiring the child emotion of the target child.
Specifically, when a target child has a dangerous accident, generally, there are emotional fluctuations, such as fear or panic, and in order to accurately detect whether the target child is lost, the server needs to obtain the child emotion of the target child, that is, obtain the child posture of the target child; acquiring a posture emotion corresponding to the posture of the child as the child emotion of the target child based on the preset posture emotion corresponding relation, wherein the posture emotion is understood to be the gravity center inclination direction of the target child in the posture of the child; and obtaining the rotation amplitude of the child joint points in the child posture; and acquiring the posture emotion jointly corresponding to the gravity center inclination direction and the rotation amplitude as the child emotion of the target child based on the preset direction amplitude emotion corresponding relation. Through the gravity center inclination direction of the target child and the rotation amplitude of the child joint points, the child emotion of the target child can be accurately determined, and the accuracy of determining the child emotion of the target child is improved.
Wherein the emotion of the child is the emotion of the target child, and the posture of the child is the posture of the target child.
For better understanding of step S30, the following description is given by way of example, specifically as follows:
for example, assuming a child's posture with a thoracic flexion of 20 degrees to 40 degrees, a head flexion of-20 degrees to 50 degrees, an upper arm extension of-80 degrees to-60 degrees, an upper arm swing of 45 degrees to 90 degrees, an elbow flexion of 50 degrees to 110 degrees, and a center of gravity tilt of forward movement, the child's mood is determined to be anger, wherein the positive and negative values of the number represent the direction of movement of the part relative to a spatial rectangular coordinate system, and the positive value represents that the part is moving forward using the right hand rule in the spatial rectangular coordinate system, and the negative value represents that the direction of movement of the part is negative.
And S40, determining that the target child is lost when the child track is inconsistent with the preset target track, the child action is inconsistent with the preset target action and the child emotion is inconsistent with the preset target emotion.
Specifically, when it is detected that the target child is not in the preset target area, and the server executes step S10, step S20 and step S30, the server obtains a historical target track of the child in the safety situation from the track database, obtains a historical target action of the child in the safety situation from the action database, obtains a historical target emotion of the child in the safety situation from the emotion database, and determines that the target child is lost when the child track is inconsistent with the preset target track, the child action is inconsistent with the preset target action, and the child emotion is inconsistent with the preset target emotion, thereby improving the accuracy of detecting the target child is lost.
Determining that the target child is not lost when one of the child trajectory and the preset target trajectory, the child motion and the preset target motion, and the child emotion and the preset target emotion are consistent, that is, determining that the target child is not lost when the child trajectory and the preset target trajectory are consistent, the child motion and the preset target motion are inconsistent, and the child emotion and the preset target emotion are inconsistent, or determining that the target child is not lost when the child trajectory and the preset target trajectory are inconsistent, the child motion and the preset target motion are consistent, and the child emotion and the preset target emotion are consistent, or determining that the target child trajectory and the preset target trajectory are consistent, determining that the target child is not lost when the child motion is consistent with the preset target motion and the child emotion is inconsistent with the preset target emotion, or determining that the target child is not lost when the child track is consistent with the preset target track, the child motion is inconsistent with the preset target motion and the child emotion is consistent with the preset target emotion, or determining that the target child is not lost when the child track is inconsistent with the preset target track, the child motion is consistent with the preset target motion and the child emotion is consistent with the preset target emotion.
It should be noted that the track database, the action database and the emotion database may be a MySQL database or an oracle database, and specific contents of the track database, the action database and the emotion database may be set according to practical applications, which is not limited herein.
In the embodiment corresponding to fig. 2, when it is detected that the child distance of the target child is smaller than the preset target distance, the target child also has a possibility of being lost, and meanwhile, the existence of various loss factors is concurrent, by acquiring the child trajectory of the target child, the child motion and the various loss factors of the child emotion; when the child track is inconsistent with the preset target track, the child action is inconsistent with the preset target action, and the child emotion is inconsistent with the preset target emotion, it is determined that the target child is lost, so that the accuracy of detecting the child loss in the smart community is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile readable storage medium, an internal memory. The non-transitory readable storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile readable storage medium. The database of the computer device is used for storing data related to the method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method.
In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps of the method of the above embodiments are implemented, for example, steps S10 to S40 shown in fig. 2.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the method of the above-mentioned method embodiments. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An automatic detection method for children loss in a smart community is characterized by comprising the following steps:
when the target child is detected to be in a preset target area, acquiring a child track of the target child;
acquiring child actions of the target child;
acquiring the child emotion of the target child;
and when the child track is inconsistent with a preset target track, the child action is inconsistent with a preset target action, and the child emotion is inconsistent with a preset target emotion, determining that the target child is lost.
2. The method of claim 1, wherein the obtaining the child trajectory of the target child comprises:
acquiring each target geographic position moved by the target child;
acquiring target time for the target child to reach each target geographic position;
and connecting each target geographical position by adopting a preset connecting line according to the sequence of the target time to obtain the child track.
3. The method of claim 2, wherein prior to the obtaining the children's trajectory of the target child, the method of automatically detecting the loss of children in the smart community further comprises:
acquiring the closest distance between the target geographic position of the target child and the boundary of the target area;
acquiring a preset safety distance;
determining that the target child is within the target area when the closest distance is less than or equal to the safe distance.
4. The method of claim 1, wherein the obtaining the child actions of the target child comprises:
acquiring joint point coordinates of the child joint points of the target child;
calculating the joint point distance between the child joint points by adopting a preset distance calculation method based on the joint point coordinates;
calculating the joint point included angle between joint point connecting lines connecting the child joint points by adopting a preset included angle calculation method based on the joint point distance;
and acquiring the behavior corresponding to the joint point included angle based on a preset included angle action corresponding relation, and determining the behavior as the child action.
5. The method as claimed in claim 1, wherein said calculating the joint point distance between the joint points of the children by using a predetermined distance calculation method based on the joint point coordinates comprises:
substituting the joint point coordinates into a joint point distance calculation formula to obtain the joint point distances among the child joint points;
the distance calculation formula specifically includes:
wherein x isiIs an abscissa, y, of said child joint point in a rectangular coordinate system of a target spaceiIs one ofThe longitudinal coordinate, z, of the child joint point in the rectangular coordinate system of the target spaceiIs a vertical coordinate, x, of the child joint point in the target space rectangular coordinate systemjIs the abscissa, y, of another said child joint point in said target space rectangular coordinate systemjIs the ordinate, z, of another said child joint point in said target space rectangular coordinate systemjIs the vertical coordinate of another child joint point in the target space rectangular coordinate system.
6. The method as claimed in claim 1, wherein the calculating the joint angle between joint connection lines connecting the joints of the children by using a predetermined angle calculation method based on the joint distance comprises:
substituting the joint point distance into a joint point included angle calculation formula to obtain the joint point included angle between joint point connecting lines connecting the child joint points;
the joint point included angle calculation formula is specifically as follows:
wherein θ is the joint point included angle between the adjacent joint point connecting lines, a is the joint point distance of one of the adjacent joint point connecting lines, b is the joint point distance of the other of the adjacent joint point connecting lines, and c is the joint point distance of the non-adjacent joint point connecting lines.
7. The method according to any one of claims 1 to 6, wherein the obtaining of the children emotion of the target child comprises:
acquiring the child posture of the target child;
and acquiring the posture emotion corresponding to the child posture as the child emotion of the target child based on the preset posture emotion corresponding relation.
8. The method of claim 7, wherein the obtaining of the mood corresponding to the posture of the child as the mood of the target child based on the preset mood corresponding relationship comprises:
acquiring a center-of-gravity tilt direction of the target child in the child posture;
acquiring the rotation amplitude of the child joint point in the child posture;
and acquiring the attitude emotion jointly corresponding to the gravity center inclination direction and the rotation amplitude as the child emotion of the target child based on a preset direction amplitude emotion corresponding relation.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements a method of automatic detection of loss of a child in an intelligent community as claimed in any one of claims 1 to 8.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements a method for automatic detection of loss of children in a smart community according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911097656.9A CN111189450A (en) | 2019-11-12 | 2019-11-12 | Automatic detection method, equipment and storage medium for children loss in smart community |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911097656.9A CN111189450A (en) | 2019-11-12 | 2019-11-12 | Automatic detection method, equipment and storage medium for children loss in smart community |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111189450A true CN111189450A (en) | 2020-05-22 |
Family
ID=70707572
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911097656.9A Pending CN111189450A (en) | 2019-11-12 | 2019-11-12 | Automatic detection method, equipment and storage medium for children loss in smart community |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111189450A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112746A (en) * | 2021-03-23 | 2021-07-13 | 江门职业技术学院 | Child anti-lost processing method and system and computer readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130080049A1 (en) * | 2008-08-14 | 2013-03-28 | Barry Brucker | System and Method for Tracking Lost Subjects |
| CN105118228A (en) * | 2015-07-11 | 2015-12-02 | 深圳市前海安测信息技术有限公司 | Automatic alarm system and method used for monitoring children safety |
| CN105654798A (en) * | 2016-03-17 | 2016-06-08 | 深圳华强酷信通讯技术有限公司 | Method and device for child preschool education and custody |
| CN106264544A (en) * | 2016-07-28 | 2017-01-04 | 江苏人之初母婴用品有限公司 | A kind of intelligence children's safety monitor system and method |
| CN109887234A (en) * | 2019-03-07 | 2019-06-14 | 百度在线网络技术（北京）有限公司 | A kind of children loss prevention method, apparatus, electronic equipment and storage medium |
| CN110170159A (en) * | 2019-06-27 | 2019-08-27 | 郭庆龙 | A kind of human health's action movement monitoring system |
-
2019
- 2019-11-12 CN CN201911097656.9A patent/CN111189450A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130080049A1 (en) * | 2008-08-14 | 2013-03-28 | Barry Brucker | System and Method for Tracking Lost Subjects |
| CN105118228A (en) * | 2015-07-11 | 2015-12-02 | 深圳市前海安测信息技术有限公司 | Automatic alarm system and method used for monitoring children safety |
| WO2017008390A1 (en) * | 2015-07-11 | 2017-01-19 | 深圳市前海安测信息技术有限公司 | Automatic alarm system and method for use in monitoring child safety |
| CN105654798A (en) * | 2016-03-17 | 2016-06-08 | 深圳华强酷信通讯技术有限公司 | Method and device for child preschool education and custody |
| CN106264544A (en) * | 2016-07-28 | 2017-01-04 | 江苏人之初母婴用品有限公司 | A kind of intelligence children's safety monitor system and method |
| CN109887234A (en) * | 2019-03-07 | 2019-06-14 | 百度在线网络技术（北京）有限公司 | A kind of children loss prevention method, apparatus, electronic equipment and storage medium |
| CN110170159A (en) * | 2019-06-27 | 2019-08-27 | 郭庆龙 | A kind of human health's action movement monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 张新建等: "基于无线传感器网络的儿童防走失***研究与设计", 《电子测试》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112746A (en) * | 2021-03-23 | 2021-07-13 | 江门职业技术学院 | Child anti-lost processing method and system and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108957466B (en) | Radar data compensation method, device, equipment and storage medium for mobile robot | |
| WO2018028649A1 (en) | Mobile device, positioning method therefor, and computer storage medium | |
| KR102226846B1 (en) | System for Positioning Hybrid Indoor Localization Using Inertia Measurement Unit Sensor and Camera | |
| CN112241989A (en) | External parameter calibration method and device, computer equipment and storage medium | |
| CN109681786B (en) | Hazardous chemical substance leakage source positioning method | |
| US10902610B2 (en) | Moving object controller, landmark, and moving object control method | |
| KR101701873B1 (en) | Method for managing target of naval vessel combat system | |
| CN110942474A (en) | Robot target tracking method, device and storage medium | |
| CN111189450A (en) | Automatic detection method, equipment and storage medium for children loss in smart community | |
| CN113031639A (en) | Robot step length processing method and device, robot control equipment and storage medium | |
| CN110796757A (en) | Automatic detection method, equipment and storage medium for patrol fraud in intelligent community | |
| CN115194769A (en) | Coordinate system calibration method and device, robot and storage medium | |
| CN111380533B (en) | Positioning navigation method, equipment and storage device | |
| CN111126321A (en) | Electric power safety construction protection method and device and computer equipment | |
| US20210178601A1 (en) | Device to monitor state of balance of robot, method of operation for such device, and computer readable medium | |
| WO2022120670A1 (en) | Movement trajectory planning method and apparatus for mechanical arm, and mechanical arm and storage medium | |
| CN109238286B (en) | Intelligent navigation method, intelligent navigation device, computer equipment and storage medium | |
| EP3098682A1 (en) | Moving object controller, program, and integrated circuit | |
| KR20200076628A (en) | Location measuring method of mobile device, location measuring device and electronic device | |
| CN115542930A (en) | Underwater robot control method, device, equipment and medium in tunnel dynamic water environment | |
| CN111210590B (en) | Early warning method and device for children lost in intelligent community and readable storage medium | |
| CN114516048A (en) | Zero point debugging method and device for robot, controller and storage medium | |
| CN113954080A (en) | Method, device, equipment and medium for planning steering and walking tracks of robot | |
| CN114245459B (en) | Fusion positioning method and device based on PDR model, computer equipment and medium | |
| Janković et al. | System for indoor localization of mobile robots by using machine vision |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200522 |
|
| WD01 | Invention patent application deemed withdrawn after publication |