CN116071888A - Method and device for early warning of abnormal movement behavior of user, electronic equipment and storage medium - Google Patents
Method and device for early warning of abnormal movement behavior of user, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of intelligent furniture, and discloses a method for early warning abnormal movement behaviors of a user, which comprises the following steps: monitoring a preset range through a human body induction sensor, and acquiring appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position; acquiring user movement data according to the appearance positions of the users, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position; judging whether the user has abnormal movement behaviors according to the user movement data; and carrying out early warning under the condition that the abnormal movement behavior of the user occurs. Therefore, the image of the user does not need to be acquired, and the abnormal movement behavior of the user can be pre-warned under the condition that the user is not photographed, so that the privacy of the user is not violated. The application also discloses a device, electronic equipment and storage medium for early warning of abnormal movement behaviors of a user.
Description
Technical Field
The application relates to the technical field of intelligent furniture, for example, to a method, a device, electronic equipment and a storage medium for early warning of abnormal movement behaviors of a user.
Background
In the prior art, the early warning of abnormal movement behavior of a user mainly carries out image acquisition on the user through a camera, the acquired user image is processed by utilizing an image processing technology to obtain user movement data, a user movement track is obtained according to the user movement data, and the early warning is carried out under the condition that the user movement track is abnormal. However, such a way of early warning of abnormal movement behavior of the user requires that the user image is acquired through the camera, which may violate the privacy of the user.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a method, a device, electronic equipment and a storage medium for early warning of abnormal movement behaviors of a user, so that the abnormal movement behaviors of the user can be early warned under the condition that the privacy of the user is not violated.
In some embodiments, the method for user abnormal movement behavior early warning comprises: monitoring a preset range through a human body induction sensor, and acquiring appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position; acquiring user movement data according to the appearance positions of the users for a plurality of times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position; judging whether the user has abnormal movement behaviors according to the user movement data; and carrying out early warning under the condition that the abnormal movement behavior of the user occurs.
In some embodiments, the means for user abnormal movement behavior pre-warning comprises: the first acquisition module is configured to monitor a preset range through the human body induction sensor and acquire appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position; the second acquisition module is configured to acquire user movement data according to the appearance positions of the users for a plurality of times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position; the judging module is configured to judge whether the abnormal movement behavior of the user occurs according to the user movement data; and the early warning module is configured to perform early warning under the condition that the abnormal movement behavior of the user occurs.
In some embodiments, the means for user abnormal movement behavior pre-warning comprises: the system comprises a processor and a memory storing program instructions, wherein the processor is configured to execute the method for early warning of abnormal movement behavior of a user when the program instructions are executed.
In some embodiments, the electronic device includes the above device for early warning of abnormal movement behavior of the user.
In some embodiments, the storage medium stores program instructions that, when executed, perform a method for user abnormal movement behavior early warning as described above.
The method, the device, the electronic equipment and the storage medium for early warning of abnormal movement behaviors of the user provided by the embodiment of the disclosure can realize the following technical effects: the human body induction sensor is used for monitoring the preset range, acquiring user movement data, and carrying out early warning on abnormal movement behaviors of the user according to the user movement data, so that the mode does not need to acquire images of the user, further, the abnormal movement behaviors of the user can be early warned under the condition that the user is not photographed, privacy of the user is not violated, and compared with the prior art, the method and the device have the advantages that the image processing technology is used for processing the images of the user, and the operation amount is smaller.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic diagram of a method for user abnormal movement behavior early warning provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of another method for user abnormal movement behavior early warning provided by an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an apparatus for early warning of abnormal movement behavior of a user according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of another apparatus for user abnormal movement behavior early warning provided in an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a system for user abnormal movement behavior early warning provided by an embodiment of the present disclosure;
fig. 6 is a schematic structural view of a socket with an infrared pyroelectric sensor provided in an embodiment of the present disclosure.
Reference numerals:
1: an infrared pyroelectric sensor; 2: the infrared pyroelectric sensor front-end driving circuit; 3: MCU (Microcontroller Unit, micro control unit) controller; 4: a switching power supply chip; 5: a power supply; 6: a WIFI (Wireless Fidelity, wireless transmission) module; 7: a first living room outlet; 8: a second living room outlet; 9: a first bedroom socket; 10: a second bedroom socket; 11: a toilet socket; 12: a router; 13: a server; 1301: a database; 1302: an algorithm module; 1303: and the early warning pushing module.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
Referring to fig. 1, an embodiment of the present disclosure provides a method for early warning of abnormal movement behavior of a user, including:
step S101, monitoring a preset range through a human body induction sensor, and acquiring appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position;
step S102, obtaining user movement data according to the appearance positions of a plurality of times of users, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position;
step S103, judging whether the user has abnormal movement behaviors according to the user movement data;
step S104, early warning is carried out under the condition that the abnormal movement behavior of the user occurs.
By adopting the method for early warning of the abnormal movement behavior of the user, the human body induction sensor monitors the preset range to obtain the user movement data, the abnormal movement behavior of the user is early warned according to the user movement data, the image of the user is not required to be obtained in such a way, the abnormal movement behavior of the user can be early warned under the condition that the user is not photographed, privacy of the user is not violated, and compared with the prior art, the method for early warning of the abnormal movement behavior of the user by using the image processing technology is small in operation amount.
Alternatively, the human body sensing sensor includes an infrared pyroelectric sensor, a millimeter radar wave sensor, or the like. The user is the person monitored by the human body induction sensor in a preset range.
Optionally, the human body induction sensor is preset with position information; acquiring the appearance position of the user, including: and determining the position information corresponding to the monitored human body induction sensor of the user as the appearance position of the user.
Optionally, the location information corresponding to the body sensing sensor is a MAC (Media Access Control ) address of the body sensing sensor. In some embodiments, the MAC address of the body sensing sensor is a living room, bedroom, or toilet, among others.
Optionally, obtaining the appearance time corresponding to the appearance position of the user includes: triggering a timer to start timing under the condition that a user appears in a preset range, and determining the starting timing time of the timer as the appearance time corresponding to the appearance position of the user; and determining the position information corresponding to the human body induction sensor which detects the appearance of the user as the appearance position of the user.
Optionally, acquiring the departure time corresponding to the appearance position of the user includes: and under the condition that the human body induction sensor detects that the user leaves the appearance position, triggering the timer to close, and determining the closing time of the timer as the leaving time corresponding to the appearance position of the user.
Optionally, obtaining the user movement data according to the appearance positions of the users for several times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position, including: determining the residence time corresponding to each occurrence position according to the occurrence time corresponding to each occurrence position and the departure time corresponding to each occurrence position; and determining the appearance positions of the users for a plurality of times and the stay time corresponding to each appearance position as user movement data.
Optionally, determining the residence time corresponding to each occurrence position according to the occurrence time corresponding to each occurrence position and the departure time corresponding to each occurrence position includes: acquiring a difference value between the departure time corresponding to each occurrence position and the occurrence time corresponding to each occurrence position; the absolute value of the difference is determined as the dwell time for each occurrence of the position.
Optionally, the user movement data further includes: the appearance time corresponding to the appearance position of the user.
As shown in connection with fig. 2, in some embodiments, a method for acquiring user movement data includes:
step S201, a monitoring instruction is sent to an infrared pyroelectric sensor arranged in a preset range, and the infrared pyroelectric sensor is triggered to start infrared interrupt monitoring.
Step S202, when an infrared pyroelectric sensor monitors that a user appears in a preset range, a rising edge is triggered in an interruption way; starting a timer to obtain the appearance time T1 corresponding to the appearance position of the user.
Step S203, under the condition that the infrared pyroelectric sensor monitors that a user leaves the appearance position, the falling edge is triggered in an interruption way; and closing the timer to obtain the departure time T2 corresponding to the appearance position of the user.
Step S204, calculating T1 and T2 to obtain the residence time T3 corresponding to the appearance position of the user; and determining the position information corresponding to the infrared pyroelectric sensor as the appearance position of the user.
In some embodiments, the infrared pyroelectric sensor monitors the preset range to obtain user movement data as shown in table 1, table 1 is an example table of the user movement data, as shown in table 1, the appearance position of the user is living room 1, and the corresponding appearance time T1 is 18:00, the corresponding residence time T3 is 10s; the appearance position of the user is bedroom 1, and the corresponding appearance time T1 is 20:00, the corresponding residence time T3 is 15s; the appearance position of the user is toilet 1, and the corresponding appearance time T1 is 20:01, the corresponding residence time T3 is 20s.
| Appearance position | Time of occurrence (T1) | Residence time (T3) |
| Parlor 1 | 18:00 | 10s |
| Bedroom 1 | 20:00 | 15s |
| Toilet 1 | 21:01 | 20s |
TABLE 1
Optionally, judging whether the user has abnormal movement behavior according to the user movement data includes: and in the case that the stay time is larger than the first preset threshold value, determining that the abnormal movement behavior of the user occurs.
Optionally, judging whether the user has abnormal movement behavior according to the user movement data includes: acquiring the occurrence frequency of each occurrence position; and determining that the abnormal movement behavior of the user occurs under the condition that the occurrence frequency is larger than a second preset threshold value.
Optionally, acquiring the occurrence frequency of the occurrence position includes: and determining the occurrence frequency of the user at the same occurrence position as the occurrence frequency of the occurrence position in a preset time period.
Optionally, acquiring the occurrence frequency of each occurrence position; determining that the abnormal movement behavior of the user occurs under the condition that the occurrence frequency is larger than a second preset threshold value; and under the condition that the abnormal movement behavior of the user occurs, sending an early warning prompt for representing the abnormal movement behavior of the user to a preset client.
Optionally, the early warning prompt for representing the abnormal movement behavior of the user comprises: preset early warning characters or preset early warning voices and the like. For example, the warning text is "user movement behavior is abnormal". Optionally, the pre-warning voice is a beeping sound.
Optionally, the client includes: a cell phone, a computer or a telephone watch, etc.
Optionally, determining that an abnormal movement behavior occurs to the user in the case that a residence time greater than a first preset threshold exists; under the condition that the user has abnormal movement behaviors, determining the user type according to the stay time which is larger than a first preset threshold value; the user type is used for representing that the user is children, old people or adults; and sending the user type and the early warning prompt for representing the abnormal movement behavior of the user to a preset client.
In some embodiments, in the case where the user type is elderly or children, the criticality of the early warning cue is critical; in the case that the user type is an adult, the criticality of the early warning prompt is general criticality. Therefore, under the condition that the user has abnormal movement behaviors, the user type and the early warning prompt are sent to the preset client, the early warning prompt can be carried out on the user, meanwhile, the critical degree of the early warning prompt can be determined, the user can conveniently carry out emergency treatment according to the critical degree of the early warning prompt, and the user experience is improved.
Optionally, determining the user type according to the residence time greater than the first preset threshold comprises: performing table lookup operation on the residence time greater than a first preset threshold according to a preset user type matching table to obtain a user type corresponding to the residence time greater than the first preset threshold; the user type matching table stores the correspondence between the stay time and the user type.
In some embodiments, the first preset threshold is 5 seconds, and the table look-up operation is performed on the residence time greater than 5s according to the preset user type matching table to obtain the user type corresponding to the residence time greater than 5s, table 2 is an example table of the user type matching table, and as shown in table 2, the user type corresponding to the residence time of 10s is a child; the user type corresponding to the retention time of 20s is the old; the type of user for which the dwell time is 15s is an adult.
| User type | Residence time |
| Children' s | 10s |
| Old people | 20s |
| Adult human | 15s |
TABLE 2
Referring to fig. 3, an embodiment of the disclosure provides a device for early warning of abnormal movement behavior of a user, which includes a first obtaining module 501, a second obtaining module 502, a judging module 503 and an early warning module 504. The first obtaining module 501 is configured to monitor a preset range through a human body induction sensor, and obtain appearance positions of a plurality of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position; the second obtaining module 502 is configured to obtain user movement data according to the appearance positions of the users for several times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position; the judging module 503 is configured to judge whether the abnormal movement behavior of the user occurs according to the user movement data; the early warning module 504 is configured to early warn in the event of abnormal movement behavior of the user.
By adopting the device for early warning of the abnormal movement behavior of the user, which is provided by the embodiment of the disclosure, the preset range is monitored through the human body induction sensor, the user movement data is obtained, the early warning is carried out on the abnormal movement behavior of the user according to the user movement data, the image of the user is not required to be obtained in such a way, the early warning is carried out on the abnormal movement behavior of the user under the condition that the user is not photographed, the privacy of the user is not violated, and compared with the prior art, the image processing technology is utilized to process the image of the user, so that the operation amount is less.
Optionally, the human body induction sensor is preset with position information; the first acquisition module is configured to enable acquisition of the presence location of the user by: and determining the position information corresponding to the monitored human body induction sensor of the user as the appearance position of the user.
Optionally, the second obtaining module is configured to obtain the user movement data according to the appearance positions of the users, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position in the following manner: determining the residence time corresponding to each occurrence position according to the occurrence time corresponding to each occurrence position and the departure time corresponding to each occurrence position; and determining the appearance positions of the users for a plurality of times and the stay time corresponding to each appearance position as user movement data.
Optionally, the judging module is configured to judge whether the abnormal movement behavior occurs to the user according to the user movement data by the following method: and in the case that the stay time is larger than the first preset threshold value, determining that the abnormal movement behavior of the user occurs.
Optionally, the judging module is configured to judge whether the abnormal movement behavior occurs to the user according to the user movement data by the following method: acquiring the occurrence frequency of each occurrence position; and determining that the abnormal movement behavior of the user occurs under the condition that the occurrence frequency is larger than a second preset threshold value.
Optionally, the early warning module is configured to perform early warning in case of abnormal movement behavior of the user by: under the condition that the user has abnormal movement behaviors, determining the user type according to the stay time which is larger than a first preset threshold value; the user type is used for representing that the user is children, old people or adults; and sending the user type and the early warning prompt for representing the abnormal movement behavior of the user to a preset client.
As shown in connection with fig. 4, an embodiment of the present disclosure provides an apparatus for user abnormal mobile behavior early warning, including a processor (processor) 600 and a memory (memory) 601. Optionally, the apparatus may further comprise a communication interface (Communication Interface) 602 and a bus 603. The processor 600, the communication interface 602, and the memory 601 may communicate with each other via the bus 603. The communication interface 602 may be used for information transfer. The processor 600 may call logic instructions in the memory 601 to perform the method for user abnormal movement behavior early warning of the above-described embodiment.
Further, the logic instructions in the memory 601 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.
The memory 601 serves as a computer readable storage medium, and may be used to store a software program, a computer executable program, and program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 600 executes the functional applications and data processing by running the program instructions/modules stored in the memory 601, i.e. implements the method for early warning of abnormal movement behavior of the user in the above-described embodiments.
The memory 601 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal device, etc. In addition, the memory 601 may include a high-speed random access memory, and may also include a nonvolatile memory.
By adopting the device for early warning of the abnormal movement behavior of the user, which is provided by the embodiment of the disclosure, the preset range is monitored through the human body induction sensor, the user movement data is obtained, the early warning is carried out on the abnormal movement behavior of the user according to the user movement data, the image of the user is not required to be obtained in such a way, the early warning is carried out on the abnormal movement behavior of the user under the condition that the user is not photographed, the privacy of the user is not violated, and compared with the prior art, the image processing technology is utilized to process the image of the user, so that the operation amount is less.
The embodiment of the disclosure provides an electronic device, which comprises the device for early warning of abnormal movement behaviors of a user. The electronic equipment monitors the preset range through the human body induction sensor, acquires the user movement data, and performs early warning on abnormal movement behaviors of the user according to the user movement data, so that the mode does not need to acquire images of the user, further, the abnormal movement behaviors of the user can be early warned under the condition that the user is not photographed, privacy of the user is not violated, and compared with the prior art, the image processing technology is utilized to process the images of the user, and the operation amount is less.
Optionally, the electronic device comprises a server.
Referring to fig. 5, in some embodiments, a system for user abnormal movement behavior early warning includes: a plurality of sockets, a router 12, a server 13. The server includes a database 1301, an algorithm module 1302, and an early warning push module 1303. Each socket is provided with a human body induction sensor and a communication module. Optionally, the communication module is a WIFI module, zigbee (zigbee) module, or bluetooth module, etc. As shown in fig. 5, a first living room outlet 7, a second living room outlet 8, a first bedroom outlet 9, a second bedroom outlet 10, and a toilet outlet 11 are provided within a preset range. The first living room outlet 7, the second living room outlet 8, the first bedroom outlet 9, the second bedroom outlet 10, and the toilet outlet 11 are all connected to a server 13 through a router 12. The first living room socket 7, the second living room socket 8, the first bedroom socket 9, the second bedroom socket 10 and the toilet socket 11 monitor a preset range, a human body induction signal is sent to the server through the router under the condition that each socket monitors a user, the server triggers the timer to start timing under the condition that the server receives the human body induction signal, and the server determines the timing time of the timer as the appearance time corresponding to the appearance position; when each socket detects that a user leaves the appearance position, a human body leaving signal is sent to a server through a router, and when the server receives the human body leaving signal, a timer is triggered to stop timing, and the server determines the time of stopping timing of the timer as the leaving time corresponding to the appearance position; the algorithm module 1302 of the server calculates the appearance positions of the users, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position for several times, obtains the user movement data, sends the user movement data to the early warning pushing module 1303, and the early warning pushing module judges whether the abnormal movement behavior of the users occurs according to the user movement data, and sends the early warning prompt for representing the abnormal movement behavior of the users to a preset client under the condition that the abnormal movement behavior of the users occurs.
By adopting the system for early warning of abnormal movement behaviors of the user, provided by the embodiment of the disclosure, the socket with the infrared pyroelectric sensor is used for monitoring the preset range, the detected human body sensing signals and human body leaving signals are sent to the server, the server acquires the appearance positions of the user for a plurality of times, the appearance time corresponding to the appearance positions each time and the leaving time corresponding to the appearance positions each time, and acquires the user movement data, and early warning is carried out on the abnormal movement behaviors of the user according to the user movement data.
As shown in connection with fig. 6, the socket may alternatively include: the device comprises an infrared pyroelectric sensor 1, an infrared pyroelectric sensor front-end driving circuit 2, an MCU controller 3, a switching power supply chip 4 and a WIFI module 6. The infrared pyroelectric sensor 1 is connected with one end of an infrared pyroelectric sensor front-end driving circuit 2, the other end of the infrared pyroelectric sensor front-end driving circuit 2 is connected with the first end of the MCU controller 3, the second end of the MCU controller 3 is connected with the WIFI module 3, the third end of the MCU controller 3 is connected with one end of the switching power supply chip 4, and the other end of the switching power supply chip 4 is connected with the power supply 5. The power supply was 220V.
In some embodiments, the server sends an instruction for starting infrared interrupt monitoring to the socket, the socket supplies power to the MCU controller through the switch power chip when receiving the instruction for starting infrared interrupt monitoring, the infrared pyroelectric sensor front-end driving circuit drives the infrared pyroelectric sensor to monitor a preset range, and the infrared pyroelectric sensor front-end driving circuit sends a preset first level signal to the MCU controller to trigger the rising edge interrupt when the infrared pyroelectric sensor detects that a user appears in the preset range, so that the timer is controlled to start timing, and the starting timing time of the timer is determined as the appearance time T1 corresponding to the appearance position of the user; and determining the MAC address corresponding to the infrared pyroelectric sensor as the appearance position of the user. Under the condition that the infrared pyroelectric sensor monitors that a user leaves the appearance position, the infrared pyroelectric sensor front-end driving circuit sends a preset second level signal to the MCU controller to enable the falling edge to be triggered in an interruption mode, so that the timer is controlled to be closed, and the closing time of the timer is determined to be the leaving time T2 corresponding to the appearance position of the user. And the MCU controller sends MAC addresses corresponding to the T1 and T2 and the infrared pyroelectric sensor to a preset server through a WIFI module access network. The server calculates T1 and T2 to obtain the retention time T3 corresponding to the appearance position of the user, determines the MAC address corresponding to the T3 and the infrared pyroelectric sensor as user movement data, judges whether the user has abnormal movement behaviors according to the user movement data, and sends an early warning prompt for representing the abnormal movement behaviors of the user to a preset client under the condition that the user has the abnormal movement behaviors. Therefore, the image of the user does not need to be acquired, and the abnormal movement behavior of the user can be early warned under the condition that the privacy of the user is not violated.
In some embodiments, the server sends an instruction for starting infrared interrupt monitoring to the socket, the socket supplies power to the MCU controller through the switch power chip when receiving the instruction for starting infrared interrupt monitoring, the infrared pyroelectric sensor front-end driving circuit drives the infrared pyroelectric sensor to monitor a preset range, and the infrared pyroelectric sensor front-end driving circuit sends a preset first level signal to the MCU controller to trigger the rising edge interrupt when the infrared pyroelectric sensor detects that a user appears in the preset range, so that the timer is controlled to start timing, and the starting timing time of the timer is determined as the appearance time T1 corresponding to the appearance position of the user; and determining the MAC address corresponding to the infrared pyroelectric sensor as the appearance position of the user. Under the condition that the infrared pyroelectric sensor monitors that a user leaves the appearance position, the infrared pyroelectric sensor front-end driving circuit sends a preset second level signal to the MCU controller to enable the falling edge to be triggered in an interruption mode, so that the timer is controlled to be closed, and the closing time of the timer is determined to be the leaving time T2 corresponding to the appearance position of the user. The MCU controller calculates T1 and T2 to obtain the retention time T3 corresponding to the appearance position of the user, determines the MAC addresses corresponding to the T3 and the infrared pyroelectric sensor as user movement data, and sends the user movement data to a preset server through the WIFI module access network. The server judges whether the user has abnormal movement behaviors according to the user movement data, and sends an early warning prompt for representing the abnormal movement behaviors of the user to a preset client under the condition that the user has the abnormal movement behaviors. In this way, the abnormal movement behavior of the user is pre-warned according to the appearance time corresponding to the appearance position of the user, the departure time corresponding to the appearance position of the user and the MAC address corresponding to the infrared pyroelectric sensor, and thus, the image of the user does not need to be acquired, and the abnormal movement behavior of the user can be pre-warned under the condition of not invading the privacy of the user.
Alternatively, the socket is connected to the internet through ethernet, WIFI, bluetooth, zigbee (zigbee), or the like, or is connected to the internet through a gateway device.
The embodiment of the disclosure provides a storage medium, which stores program instructions, wherein the program instructions execute the method for early warning of abnormal movement behaviors of a user when the program instructions are run.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for user abnormal movement behavior pre-warning.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (11)
1. A method for user abnormal movement behavior early warning, comprising:
monitoring a preset range through a human body induction sensor, and acquiring appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position;
acquiring user movement data according to the appearance positions of the users for a plurality of times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position;
judging whether the user has abnormal movement behaviors according to the user movement data;
and carrying out early warning under the condition that the abnormal movement behavior of the user occurs.
2. The method of claim 1, wherein the body sensing sensor is preset with location information; acquiring the appearance position of the user, including:
and determining the position information corresponding to the monitored human body induction sensor of the user as the appearance position of the user.
3. The method of claim 1, wherein obtaining user movement data based on a number of occurrences of the user, a time of occurrence corresponding to each of the occurrences, and a time of departure corresponding to each of the occurrences, comprises:
determining the residence time corresponding to each occurrence position according to the occurrence time corresponding to each occurrence position and the departure time corresponding to each occurrence position;
and determining the appearance positions of the users for a plurality of times and the stay time corresponding to each appearance position as user movement data.
4. A method according to claim 3, wherein determining whether the user has abnormal movement behavior based on the user movement data comprises:
and in the case that the stay time is larger than the first preset threshold value, determining that the abnormal movement behavior of the user occurs.
5. A method according to claim 3, wherein determining whether the user has abnormal movement behavior based on the user movement data comprises:
acquiring the occurrence frequency of each occurrence position;
and determining that the abnormal movement behavior of the user occurs under the condition that the occurrence frequency is larger than a second preset threshold value.
6. The method of claim 4, wherein the pre-warning in the event of abnormal movement behavior of the user comprises:
under the condition that the abnormal movement behavior of the user occurs, determining the user type according to the residence time which is larger than a first preset threshold value; the user type is used for representing that the user is children, old people or adults;
and sending the user type and an early warning prompt for representing the abnormal movement behavior of the user to a preset client.
7. The method of claim 6, wherein determining the user type based on the dwell time being greater than a first predetermined threshold comprises:
performing table lookup operation on the residence time greater than the first preset threshold according to a preset user type matching table to obtain a user type corresponding to the residence time greater than the first preset threshold; and the corresponding relation between the residence time and the user type is stored in the user type matching table.
8. An apparatus for user abnormal movement behavior early warning, comprising:
the first acquisition module is configured to monitor a preset range through the human body induction sensor and acquire appearance positions of a plurality of times of users, appearance time corresponding to each appearance position and departure time corresponding to each appearance position;
the second acquisition module is configured to acquire user movement data according to the appearance positions of the users for a plurality of times, the appearance time corresponding to each appearance position and the departure time corresponding to each appearance position;
the judging module is configured to judge whether the abnormal movement behavior of the user occurs according to the user movement data;
and the early warning module is configured to perform early warning under the condition that the abnormal movement behavior of the user occurs.
9. An apparatus for user abnormal movement behavior pre-warning comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method for user abnormal movement behavior pre-warning of any one of claims 1 to 7 when the program instructions are run.
10. An electronic device comprising the apparatus for user abnormal movement behavior early warning according to claim 9.
11. A storage medium storing program instructions which, when executed, perform the method for user abnormal movement behaviour pre-warning of any one of claims 1 to 7.
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