A safety protection method and device based on abnormal behavior

Abstract

The present invention belongs to the field of wearable devices, and discloses a safety protection method and device based on abnormal behavior, the method comprising: when abnormal behavior of a user is detected, obtaining the dynamic behavior information and vital sign information of the user within a preset time; judging the type of the abnormal behavior according to the dynamic behavior information or the vital sign information; and providing safety protection to the user in different ways based on the type of the abnormal behavior. By collecting the dynamic behavior information of the user in real time and accurately analyzing and judging the user's movement state, the state of the child after falling can be effectively monitored, and more comprehensive reference information can be provided to parents and parents can be reminded to provide timely, accurate and appropriate safety protection for children.

Description

Technical Field

[0001] The present invention relates to the field of wearable devices, and in particular to a safety protection method and device based on abnormal behavior. Background Art

[0002] Children's heads, chests, abdomens and limbs are all in the development stage and are relatively soft. Compared with adults, children are more likely to suffer serious consequences when injuries occur. Wearable devices are used to detect whether children have fallen. When parents receive information about their children's falls, they think that their children just like to play and are accustomed to falling. If the child falls seriously and the parents do not pay attention, it will inevitably lead to more serious consequences.

[0003] Therefore, how to effectively monitor the child's condition after a fall, provide parents with more comprehensive reference information, and provide timely and effective safety protection for children needs to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to provide a method and device for security protection based on abnormal behavior to solve the above problems.

[0005] The technical solution provided by the present invention is as follows:

[0006] On the one hand, a security protection method based on abnormal behavior is provided, comprising:

[0007] When abnormal behavior of a user is detected, dynamic behavior information and vital signs information of the user within a preset time period are obtained;

[0008] Determining the type of the abnormal behavior according to the dynamic behavior information or the vital sign information;

[0009] Based on the type of the abnormal behavior, security protection is provided to the user in different ways.

[0010] Further preferably, before obtaining the movement information and vital sign information of the user within a preset time when abnormal behavior of the user is detected, the method further includes:

[0011] Collecting the user's current behavior information in real time, wherein the current behavior information includes motion coordinate information and direction acceleration corresponding to the current time;

[0012] Based on the motion coordinate information and the direction acceleration corresponding to the current time, determining whether the user has abnormal behavior;

[0013] Wherein, the abnormal behavior includes falling.

[0014] Further preferably, when abnormal behavior of the user is detected, obtaining dynamic behavior information and vital sign information of the user within a preset time includes:

[0015] Acquire dynamic behavior information of the user within a preset time, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration;

[0016] Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

[0017] Further preferably, judging the type of the abnormal behavior according to the dynamic behavior information includes:

[0018] Acquiring the dynamic behavior of the user within the preset time according to the dynamic motion coordinate information and the direction acceleration;

[0019] Determining the type of the abnormal behavior according to the dynamic behavior of the user within the preset time;

[0020] The types of abnormal behaviors include mild abnormal behaviors, moderate abnormal behaviors and severe abnormal behaviors.

[0021] Further preferably, judging the type of the abnormal behavior according to the vital sign information includes:

[0022] When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

[0023] Further preferably, the user is provided with security protection in different ways based on the type of abnormal behavior, including:

[0024] When the abnormal behavior is a mild abnormal behavior, recording the occurrence time of the mild abnormal behavior and the corresponding dynamic behavior information;

[0025] When the abnormal behavior is moderately abnormal, reminding the user to perform safety protection;

[0026] When the abnormal behavior is a serious abnormal behavior, the monitoring terminal of the user is reminded to perform safety protection on the user.

[0027] On the other hand, the present invention also provides a safety protection device based on abnormal behavior, comprising:

[0028] An acquisition module, used to acquire dynamic behavior information and vital sign information of the user within a preset time when abnormal behavior of the user is detected;

[0029] A judgment module, used for judging the type of the abnormal behavior according to the dynamic behavior information or the vital sign information;

[0030] The protection module is used to provide security protection for the user in different ways based on the type of the abnormal behavior.

[0031] Further preferably, the safety protection device based on abnormal behavior further includes:

[0032] A collection module, used to collect the current behavior information of the user in real time, wherein the current behavior information includes the motion coordinate information and the direction acceleration corresponding to the current time;

[0033] The judgment module is further used to judge whether the user has abnormal behavior based on the motion coordinate information and the direction acceleration corresponding to the current time;

[0034] Wherein, the abnormal behavior includes falling.

[0035] Further preferably, the acquisition module is further used for:

[0036] Acquire dynamic behavior information of the user within a preset time, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration;

[0037] Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

[0038] Further preferably, the judging module is further used for:

[0039] Acquiring the dynamic behavior of the user within the preset time according to the dynamic motion coordinate information and the direction acceleration;

[0040] Determining the type of the abnormal behavior according to the dynamic behavior of the user within the preset time;

[0041] The types of abnormal behavior include mild abnormal behavior, moderate abnormal behavior and severe abnormal behavior;

[0042] When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

[0043] The present invention provides a method and device for security protection based on abnormal behavior, which has at least the following technical effects:

[0044] By collecting the user's dynamic behavior information in real time and accurately analyzing and judging the user's movement status, it is possible to effectively monitor the child's status after a fall, provide parents with more comprehensive reference information and remind parents to provide timely, accurate and appropriate safety protection for children. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0046] Figure 1 is a schematic diagram of an embodiment of a method for performing security protection based on abnormal behavior of the present invention;

[0047] Figure 2 is a schematic diagram of another embodiment of a method for performing security protection based on abnormal behavior according to the present invention;

[0048] Figure 3 It is a schematic diagram of an embodiment of a safety protection device based on abnormal behavior of the present invention. DETAILED DESCRIPTION

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] In order to simplify the drawings, only the parts related to the present invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0051] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0052] In this document, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] In addition, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0055] Embodiment 1

[0056] The present invention provides an embodiment of a security protection method based on abnormal behavior, such as Figure 1 As shown, including:

[0057] S100 When abnormal behavior of the user is detected, dynamic behavior information and vital sign information of the user within a preset time are obtained.

[0058] Specifically, the user may include a child. When a child wears a wearable device, such as a phone watch, the wearable device in this embodiment is equipped with a motion sensor and a physiological indicator sensor.

[0059] The motion information of the child is detected by the motion sensor, and the present embodiment also obtains the heart rate information and blood oxygen information of the child by the life indicator sensor.

[0060] S200 determines the type of the abnormal behavior according to the dynamic behavior information or the vital sign information.

[0061] Specifically, the motion information is used to determine whether the child has abnormal behavior, such as falling. When a fall occurs, the severity of the fall is determined based on the data continuously collected by the motion sensor and the vital sign sensor.

[0062] Exemplarily, when a fall is detected, the motion sensor is continuously used to determine whether the child's behavior state is abnormal.

[0063] For example: If after a fall is detected, the child quickly gets up and walks and runs normally, it is judged as a normal fall.

[0064] If the motion sensor detects that the child has been sitting or squatting for a period of time without getting up and walking, it is considered a serious fall. If the motion sensor detects that the child stands up after falling but walks in an abnormal posture, it is also considered a serious fall. If the user falls and an abnormal heart rate or low blood oxygen is detected, it is also considered a serious fall.

[0065] S300 provides security protection for the user in different ways based on the type of the abnormal behavior.

[0066] Specifically, this embodiment can also provide different types of safety protection for falls of different severity.

[0067] For example, when the wearable device determines that the fall is a normal fall, the relevant data of the normal fall is recorded and stored for the convenience of parents to view.

[0068] In this embodiment, the relevant data of common falls are recorded and stored, which also facilitates the wearable device to train a model based on the relevant data of common falls to adjust the accuracy of judging the severity.

[0069] If the wearable device determines that the fall is a normal fall, it can also remind the child to pay attention to safety and be careful not to fall next time. When a child has a normal fall, it is considered a mild abnormal behavior, and a protective reminder is given based on the mild abnormal behavior.

[0070] At the same time, when the wearable device determines that the fall is a serious fall, the child may suffer physical injury or be unable to protect himself / herself, and the parents will not be able to accurately judge the child's body. If the parents are not with the child, once the child encounters an accident, the parents will not be able to make an accurate judgment.

[0071] This embodiment uses motion sensors and physiological sign sensors to monitor dynamic behavioral states in real time, and accurately analyzes and judges the dynamic behavior of children. When a child's fall is determined to be a serious fall, parents are reminded again that "the child's state is abnormal and suspected of being injured. Please contact us in time for confirmation."

[0072] In this embodiment, by collecting the user's dynamic behavior information in real time and accurately analyzing and judging the user's movement status, the child's status after falling can be effectively monitored, and more comprehensive reference information can be provided to parents and remind parents to provide timely, accurate and appropriate safety protection for children.

[0073] Embodiment 2

[0074] Based on the above embodiment, the parts in this embodiment that are the same as those in the above embodiment will not be repeated one by one. This embodiment provides an embodiment of a security protection method based on abnormal behavior, such as Figure 2 As shown, including:

[0075] Preferably, when abnormal behavior of the user is detected in step S100, before obtaining the movement information and vital sign information of the user within a preset time, the method further includes:

[0076] The current behavior information of the user is collected in real time, wherein the current behavior information includes motion coordinate information and direction acceleration corresponding to the current time.

[0077] Based on the motion coordinate information and the direction acceleration corresponding to the current time, it is determined whether the user has abnormal behavior.

[0078] Wherein, the abnormal behavior includes falling.

[0079] Specifically, the motion sensor of the wearable device is used to collect the user's motion information in real time, the waveform formed by the coordinate information is obtained through the motion sensor (three-axis sensor), and the orientation acceleration is obtained through the six-axis sensor, namely the three-axis sensor + gyroscope.

[0080] Exemplarily, the coordinate information and the direction acceleration corresponding to the current time of the user are obtained by the motion sensor, and it is determined whether the user has abnormal behavior, such as falling, based on the motion coordinate information and the direction acceleration.

[0081] Specifically, when the motion sensor obtains that the user's coordinate information and directional acceleration belong to the preset range of falling, or when the trained network model predicts that the user will fall at this time based on the current coordinate information and directional acceleration, it is determined that the user has abnormal behavior.

[0082] Preferably, when abnormal behavior of the user is detected in step 100, obtaining dynamic behavior information and vital sign information of the user within a preset time includes:

[0083] The dynamic behavior information of the user within a preset time is obtained, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration.

[0084] Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

[0085] The wearable device in this embodiment is equipped with a motion sensor and a physiological indicator sensor.

[0086] The motion information of the child is detected by the motion sensor, and the present embodiment also obtains the heart rate information and blood oxygen information of the child by the life indicator sensor.

[0087] Specifically, after the user falls, the severity judgment process is triggered within a preset time period. The user's dynamic coordinate information, direction acceleration, heart rate information and blood oxygen information within the preset time period are collected through motion sensors and physiological sign information.

[0088] Preferably, judging the type of the abnormal behavior according to the dynamic behavior information in step S200 includes:

[0089] The dynamic behavior of the user within the preset time is obtained according to the dynamic motion coordinate information and the direction acceleration.

[0090] The type of the abnormal behavior is determined according to the dynamic behavior of the user within the preset time.

[0091] The types of abnormal behaviors include mild abnormal behaviors, moderate abnormal behaviors and severe abnormal behaviors.

[0092] Specifically, when a fall is detected, the motion sensor is continuously used to determine whether the child's behavior state is abnormal.

[0093] If the child gets up quickly after falling and walks or runs normally, it is considered a normal fall. If the motion sensor detects that the child remains sitting or squatting for a period of time without getting up and walking, it is considered a severe fall. If the motion sensor detects that the child stands up after falling but walks in an abnormal posture, it is also considered a severe fall.

[0094] Preferably, judging the type of the abnormal behavior according to the vital sign information includes:

[0095] When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

[0096] For example, when an abnormal heart rate or decreased blood oxygen is detected after a user falls, it is also determined to be a severe fall.

[0097] Preferably, the step S300 provides security protection to the user in different ways based on the type of abnormal behavior, including:

[0098] When the abnormal behavior is a mild abnormal behavior, the occurrence time of the mild abnormal behavior and the corresponding dynamic behavior information are recorded.

[0099] Specifically, this embodiment can also provide different types of safety protection for falls of different severity.

[0100] For example, when the wearable device determines that the fall is a normal fall, the relevant data of the normal fall is recorded and stored for the convenience of parents to view.

[0101] In this embodiment, the relevant data of common falls are recorded and stored, which also facilitates the wearable device to train a model based on the relevant data of common falls to adjust the accuracy of judging the severity.

[0102] If the wearable device determines that the fall is a normal fall, it can also remind the child to pay attention to safety and be careful not to fall next time. When a child has a normal fall, it is considered a mild abnormal behavior, and a protective reminder is given based on the mild abnormal behavior.

[0103] When the abnormal behavior is a moderate abnormal behavior, the user is reminded to perform safety protection.

[0104] Specifically, when a user's fall is determined to be moderate abnormal behavior, a reminder is given through a reminder module of the wearable device, such as a speaker or vibration.

[0105] At the same time, the exercise information and physiological sign information can also be recorded, and the relevant data of moderate abnormal behavior can be recorded and stored, which is also convenient for wearable devices to train models based on the relevant data of moderate abnormal behavior to adjust the accuracy of judging the severity.

[0106] When the abnormal behavior is a serious abnormal behavior, the monitoring terminal of the user is reminded to perform safety protection on the user.

[0107] Specifically, when the fall is a severe fall, the fall is judged as severe abnormal behavior.

[0108] When the wearable device determines that the fall is a serious fall, the child may suffer physical injuries or be unable to protect themselves, and the parents cannot make an accurate judgment on the child's body. If the parents are not by the child's side, once the child encounters an accident, the parents cannot make an accurate judgment or provide timely rescue.

[0109] This embodiment uses motion sensors and physiological sign sensors to monitor dynamic behavioral states in real time, and accurately analyzes and judges the dynamic behavior of children. When a child's fall is determined to be a serious fall, parents are reminded again that "the child's state is abnormal and suspected of being injured. Please contact us in time for confirmation."

[0110] In this embodiment, falls are classified into different levels by detecting the dynamic movement behavior data of the child, and reminders are given according to the different levels: mild falls are recorded, moderate falls are reminded to the child, and severe falls are reminded to the parents and / or the child.

[0111] In this embodiment, by collecting the user's dynamic behavior information in real time and accurately analyzing and judging the user's movement status, the child's status after falling can be effectively monitored, and more comprehensive reference information can be provided to parents and remind parents to provide timely, accurate and appropriate safety protection for children.

[0112] Embodiment 3

[0113] Based on the above embodiment, the parts in this embodiment that are the same as those in the above embodiment will not be repeated one by one. This embodiment provides an embodiment of a safety protection device based on abnormal behavior, such as Figure 3 As shown, including:

[0114] The acquisition module 301 is used to acquire the dynamic behavior information and vital sign information of the user within a preset time when abnormal behavior of the user is detected.

[0115] Specifically, the user may include a child. When a child wears a wearable device, such as a phone watch, the wearable device in this embodiment is equipped with a motion sensor and a physiological indicator sensor.

[0116] The motion information of the child is detected by the motion sensor, and the present embodiment also obtains the heart rate information and blood oxygen information of the child by the life indicator sensor.

[0117] The judgment module 302 is used to judge the type of the abnormal behavior according to the dynamic behavior information or the vital sign information.

[0118] Specifically, the motion information is used to determine whether the child has abnormal behavior, such as falling. When a fall occurs, the severity of the fall is determined based on the data continuously collected by the motion sensor and the vital sign sensor.

[0119] Exemplarily, when a fall is detected, the motion sensor is continuously used to determine whether the child's behavior state is abnormal.

[0120] For example: If after a fall is detected, the child quickly gets up and walks and runs normally, it is judged as a normal fall.

[0121] If the motion sensor detects that the child has been sitting or squatting for a period of time without getting up and walking, it is considered a serious fall. If the motion sensor detects that the child stands up after falling but walks in an abnormal posture, it is also considered a serious fall. If the user falls and an abnormal heart rate or low blood oxygen is detected, it is also considered a serious fall.

[0122] The protection module 303 is used to provide security protection for the user in different ways based on the type of the abnormal behavior.

[0123] Specifically, this embodiment can also provide different types of safety protection for falls of different severity.

[0124] For example, when the wearable device determines that the fall is a normal fall, the relevant data of the normal fall is recorded and stored for the convenience of parents to view.

[0125] In this embodiment, the relevant data of common falls are recorded and stored, which also facilitates the wearable device to train a model based on the relevant data of common falls to adjust the accuracy of judging the severity.

[0126] If the wearable device determines that the fall is a normal fall, it can also remind the child to pay attention to safety and be careful not to fall next time. When a child has a normal fall, it is considered a mild abnormal behavior, and a protective reminder is given based on the mild abnormal behavior.

[0127] At the same time, when the wearable device determines that the fall is a serious fall, the child may suffer physical injury or be unable to protect himself / herself, and the parents will not be able to accurately judge the child's body. If the parents are not with the child, once the child encounters an accident, the parents will not be able to make an accurate judgment.

[0128] This embodiment uses motion sensors and physiological sign sensors to monitor dynamic behavioral states in real time, and accurately analyzes and judges the dynamic behavior of children. When a child's fall is determined to be a serious fall, parents are reminded again that "the child's state is abnormal and suspected of being injured. Please contact us in time for confirmation."

[0129] In this embodiment, by collecting the user's dynamic behavior information in real time and accurately analyzing and judging the user's movement status, the child's status after falling can be effectively monitored, and more comprehensive reference information can be provided to parents and remind parents to provide timely, accurate and appropriate safety protection for children.

[0130] Preferably, the safety protection device based on abnormal behavior further includes:

[0131] The acquisition module is used to acquire the current behavior information of the user in real time, wherein the current behavior information includes the motion coordinate information and the direction acceleration corresponding to the current time.

[0132] The judgment module is further used to judge whether the user has abnormal behavior based on the motion coordinate information and the direction acceleration corresponding to the current time.

[0133] Wherein, the abnormal behavior includes falling.

[0134] Specifically, the motion sensor of the wearable device is used to collect the user's motion information in real time, the waveform formed by the coordinate information is obtained through the motion sensor (three-axis sensor), and the orientation acceleration is obtained through the six-axis sensor, namely the three-axis sensor + gyroscope.

[0135] Exemplarily, the coordinate information and the direction acceleration corresponding to the current time of the user are obtained by the motion sensor, and it is determined whether the user has abnormal behavior, such as falling, based on the motion coordinate information and the direction acceleration.

[0136] Specifically, when the motion sensor obtains that the user's coordinate information and directional acceleration belong to the preset range of falling, or when the trained network model predicts that the user will fall at this time based on the current coordinate information and directional acceleration, it is determined that the user has abnormal behavior.

[0137] Preferably, the acquisition module is further used for:

[0138] The dynamic behavior information of the user within a preset time is obtained, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration.

[0139] Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

[0140] The wearable device in this embodiment is equipped with a motion sensor and a physiological indicator sensor.

[0141] The motion information of the child is detected by the motion sensor, and the present embodiment also obtains the heart rate information and blood oxygen information of the child by the life indicator sensor.

[0142] Specifically, after the user falls, the severity judgment process is triggered within a preset time period. The user's dynamic coordinate information, direction acceleration, heart rate information and blood oxygen information within the preset time period are collected through motion sensors and physiological sign information.

[0143] Preferably, the judging module is further used for:

[0144] The dynamic behavior of the user within the preset time is obtained according to the dynamic motion coordinate information and the direction acceleration.

[0145] The type of the abnormal behavior is determined according to the dynamic behavior of the user within the preset time.

[0146] The types of abnormal behaviors include mild abnormal behaviors, moderate abnormal behaviors and severe abnormal behaviors.

[0147] When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

[0148] Specifically, when a fall is detected, the motion sensor is continuously used to determine whether the child's behavior state is abnormal.

[0149] If the child gets up quickly after falling and walks or runs normally, it is considered a normal fall. If the motion sensor detects that the child remains sitting or squatting for a period of time without getting up and walking, it is considered a severe fall. If the motion sensor detects that the child stands up after falling but walks in an abnormal posture, it is also considered a severe fall.

[0150] For example, when an abnormal heart rate or decreased blood oxygen is detected after a user falls, it is also determined to be a severe fall.

[0151] Preferably, a protection module is further included, which is used to provide security protection for the user in different ways based on the type of abnormal behavior, including:

[0152] When the abnormal behavior is a mild abnormal behavior, the occurrence time of the mild abnormal behavior and the corresponding dynamic behavior information are recorded.

[0153] Specifically, this embodiment can also provide different types of safety protection for falls of different severity.

[0154] For example, when the wearable device determines that the fall is a normal fall, the relevant data of the normal fall is recorded and stored for the convenience of parents to view.

[0155] In this embodiment, the relevant data of common falls are recorded and stored, which also facilitates the wearable device to train a model based on the relevant data of common falls to adjust the accuracy of judging the severity.

[0156] If the wearable device determines that the fall is a normal fall, it can also remind the child to pay attention to safety and be careful not to fall next time. When a child has a normal fall, it is considered a mild abnormal behavior, and a protective reminder is given based on the mild abnormal behavior.

[0157] When the abnormal behavior is a moderate abnormal behavior, the user is reminded to perform safety protection.

[0158] Specifically, when a user's fall is determined to be moderate abnormal behavior, a reminder is given through a reminder module of the wearable device, such as a speaker or vibration.

[0159] At the same time, the exercise information and physiological sign information can also be recorded, and the relevant data of moderate abnormal behavior can be recorded and stored, which is also convenient for wearable devices to train models based on the relevant data of moderate abnormal behavior to adjust the accuracy of judging the severity.

[0160] When the abnormal behavior is a serious abnormal behavior, the monitoring terminal of the user is reminded to perform safety protection on the user.

[0161] Specifically, when the fall is a severe fall, the fall is judged as severe abnormal behavior.

[0162] When the wearable device determines that the fall is a serious fall, the child may suffer physical injuries or be unable to protect themselves, and the parents cannot make an accurate judgment on the child's body. If the parents are not by the child's side, once the child encounters an accident, the parents cannot make an accurate judgment or provide timely rescue.

[0163] This embodiment uses motion sensors and physiological sign sensors to monitor dynamic behavioral states in real time, and accurately analyzes and judges the dynamic behavior of children. When a child's fall is determined to be a serious fall, parents are reminded again that "the child's state is abnormal and suspected of being injured. Please contact us in time for confirmation."

[0164] In this embodiment, by collecting the user's dynamic behavior information in real time and accurately analyzing and judging the user's movement status, the child's status after falling can be effectively monitored, and more comprehensive reference information can be provided to parents and remind parents to provide timely, accurate and appropriate safety protection for children.

[0165] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0166] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed with hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0167] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. Exemplarily, the device / electronic device embodiments described above are merely schematic. Exemplarily, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. Exemplarily, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0168] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0169] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0170] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.

Claims

1. A security protection method based on abnormal behavior, characterized in that: Applications in child-based wearable devices include: When abnormal behavior of the user is detected, dynamic behavior information and vital sign information of the user within a preset time period are obtained; the abnormal behavior includes falling; Determining the type of the abnormal behavior according to the dynamic behavior information or the vital sign information; Based on the type of the abnormal behavior, the user is provided with security protection in different ways; The providing security protection to the user in different ways based on the type of the abnormal behavior includes: When the abnormal behavior is a mild abnormal behavior, the occurrence time of the mild abnormal behavior and the corresponding dynamic behavior information are recorded and stored; the wearable device trains the model based on the recorded and stored relevant data to adjust the accuracy of judging the severity; When the abnormal behavior is moderately abnormal, reminding the user to perform safety protection; When the abnormal behavior is a serious abnormal behavior, the monitoring terminal of the user is reminded to perform safety protection on the user.

2. The method for security protection based on abnormal behavior according to claim 1, characterized in that: Before obtaining the movement information and vital sign information of the user within a preset time when abnormal behavior of the user is detected, the method further includes: Collecting the user's current behavior information in real time, wherein the current behavior information includes motion coordinate information and direction acceleration corresponding to the current time; Based on the motion coordinate information and the direction acceleration corresponding to the current time, it is determined whether the user has abnormal behavior.

3. The method for security protection based on abnormal behavior according to claim 2 is characterized in that: When abnormal behavior of the user is detected, the dynamic behavior information and vital sign information of the user within a preset time are obtained, including: Acquire dynamic behavior information of the user within a preset time, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration; Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

4. The method for security protection based on abnormal behavior according to claim 3 is characterized in that: The determining the type of the abnormal behavior according to the dynamic behavior information includes: Acquiring the dynamic behavior of the user within the preset time according to the dynamic motion coordinate information and the direction acceleration; Determining the type of the abnormal behavior according to the dynamic behavior of the user within the preset time; The types of abnormal behaviors include mild abnormal behaviors, moderate abnormal behaviors and severe abnormal behaviors.

5. The method for security protection based on abnormal behavior according to claim 4 is characterized in that: The determining the type of the abnormal behavior according to the vital sign information includes: When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

6. A safety protection device based on abnormal behavior, characterized in that: Applications in child-based wearable devices include: An acquisition module, configured to acquire dynamic behavior information and vital sign information of the user within a preset time when abnormal behavior of the user is detected; the abnormal behavior includes falling; A judgment module, used for judging the type of the abnormal behavior according to the dynamic behavior information or the vital sign information; A protection module, used to provide security protection for the user in different ways based on the type of abnormal behavior; The providing security protection to the user in different ways based on the type of the abnormal behavior includes: When the abnormal behavior is a mild abnormal behavior, the occurrence time of the mild abnormal behavior and the corresponding dynamic behavior information are stored and recorded; the wearable device trains the model based on the recorded and stored relevant data to adjust the accuracy of judging the severity; When the abnormal behavior is moderately abnormal, reminding the user to perform safety protection; When the abnormal behavior is a serious abnormal behavior, the monitoring terminal of the user is reminded to perform safety protection on the user.

7. The safety protection device based on abnormal behavior according to claim 6, characterized in that: Also includes: A collection module, used to collect the current behavior information of the user in real time, wherein the current behavior information includes the motion coordinate information and the direction acceleration corresponding to the current time; The judgment module is further used to judge whether the user has abnormal behavior based on the motion coordinate information and the direction acceleration corresponding to the current time.

8. The safety protection device based on abnormal behavior according to claim 7, characterized in that: The acquisition module is further used for: Acquire dynamic behavior information of the user within a preset time, wherein the dynamic behavior information includes dynamic motion coordinate information and direction acceleration; Obtain the user's vital signs information within the preset time, where the vital signs information includes heart rate information and blood oxygen information.

9. The safety protection device based on abnormal behavior according to claim 8, characterized in that: The judging module is further used for: Acquiring the dynamic behavior of the user within the preset time according to the dynamic motion coordinate information and the direction acceleration; Determining the type of the abnormal behavior according to the dynamic behavior of the user within the preset time; The types of abnormal behavior include mild abnormal behavior, moderate abnormal behavior and severe abnormal behavior; When the heart rate information or the blood oxygen information is in an abnormal state, it is determined that the abnormal behavior is a severe abnormal behavior.

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