CN111132139B - Antitheft control method and intelligent wearable device - Google Patents
Antitheft control method and intelligent wearable device Download PDFInfo
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- H04W12/126—Anti-theft arrangements, e.g. protection against subscriber identity module [SIM] cloning
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Abstract
The application provides an anti-theft control method and intelligent wearable equipment. According to the anti-theft control method, the current user behavior data are obtained, wherein the current user behavior data comprise user physiological characteristic data in a first period, the user physiological characteristic data comprise at least one physiological index detection data, then the current behavior characteristic value is determined according to the received current user behavior data and a preset characteristic value algorithm, the difference value between the current behavior characteristic value and the historical behavior characteristic value is determined, and if the difference value is larger than a preset difference threshold, an anti-theft control mode of the intelligent wearable device is started. Thereby, intelligent wearing equipment can realize anti-theft control through the embedded functional module of self, improves intelligent wearing equipment's practicality, promotes user experience.
Description
Technical Field
The application relates to the technical field of communication, in particular to an anti-theft control method and intelligent wearable equipment.
Background
With rapid development of communication technology, intelligent terminals, such as smart phones, smart home appliances, and smart wearable devices, have become necessities for every person's life, closely related to people's daily work and life.
Because the intelligent terminal is more miniaturized and intelligent, the intelligent terminal also belongs to high-value products for users. Most intelligent terminals belong to portable objects, so that the intelligent terminal has small volume and is very easy to be stolen or lost artificially. If this happens, not only economic losses are brought to the user, but also immeasurable threats are possibly brought to the user's information or personal safety. It can be seen that how the intelligent terminal performs anti-theft control is a problem that current developers need to face. In the prior art, although some intelligent terminals exist, such as smart phones, generally have a general platform, the anti-theft control can be realized through software, a touch screen, a camera and/or the like and/or fingerprints.
However, some smart terminals, such as smart wearable devices, cannot implement anti-theft control in the above manner through software, touch screen, camera, etc. devices and/or fingerprints due to their own architecture limitations.
Disclosure of Invention
The application provides an anti-theft control method and intelligent wearable equipment, which are used for solving the functional defect of the intelligent wearable equipment in the aspect of anti-theft control.
In a first aspect, the present application provides an anti-theft control method applied to an intelligent wearable device, including:
Acquiring current user behavior data, wherein the current user behavior data comprises user physiological characteristic data in a first period, and the user physiological characteristic data comprises at least one item of physiological index detection data;
determining a current behavior characteristic value according to the current user behavior data and a preset characteristic value algorithm;
determining a difference value between the current behavior characteristic value and a historical behavior characteristic value, wherein the historical behavior characteristic value is determined according to historical user behavior data and the preset characteristic value algorithm, the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period;
and if the difference value is larger than a preset difference threshold value, starting an anti-theft control mode.
In one possible design, the current user behavior data further includes environmental characteristic data during the first period, the historical user behavior data further includes environmental characteristic data during the second period, and the environmental characteristic data includes at least one environmental indicator detection data.
Optionally, the current user behavior data further comprises a time identifier, the time identifier being used to determine the first period and the second period.
In one possible design, the enabling the anti-theft control mode includes at least one of:
locking user data, and uploading the user data to a server, wherein the user data is memory data of the intelligent wearable device;
disabling an interactive function, the interactive function including a communication function and a setting function;
activating a positioning function, wherein the positioning function is used for uploading the current position of the intelligent wearable device to the server;
and sending an alarm instruction to the server, wherein the alarm instruction is used for indicating that the intelligent wearable equipment is in a lost state.
In one possible design, the anti-theft control method further includes:
receiving an unlocking instruction, wherein the unlocking instruction comprises an unlocking identity mark;
and if the unlocking identity identification passes the authentication, exiting the anti-theft control mode.
Optionally, the duration corresponding to the second period is an integer multiple of the duration corresponding to the first period.
In a second aspect, the present application provides an intelligent wearable device, comprising:
the physiological characteristic detection module is used for acquiring the physiological characteristic data of the user in the first period in the current user behavior data, wherein the physiological characteristic data of the user comprises at least one item of physiological index detection data, and the current user behavior data is sent to the control module;
The control module is used for determining a current behavior characteristic value according to the current user behavior data and a preset characteristic value algorithm, and determining a difference value between the current behavior characteristic value and a historical behavior characteristic value, wherein the historical behavior characteristic value is determined according to historical user behavior data and the preset characteristic value algorithm, the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period;
and if the difference value is larger than a preset difference threshold value, the control module is also used for starting an anti-theft control mode.
In one possible design, the physiological characteristic detection module includes: at least one of a motion sensor, a heart rate sensor, a body temperature sensor and a biological sensor.
Optionally, the current user behavior data further includes environmental characteristic data in the first period, and the historical user behavior data further includes environmental characteristic data in the second period, where the environmental characteristic data includes at least one environmental indicator detection data.
In one possible design, the physiological characteristic detection module further comprises: at least one of a proximity sensor and an environmental sensor.
In one possible design, the control module is further configured to add a time identifier to the current user behavior data, the time identifier being used to determine the first period and the second period.
In one possible design, the control mode is further used to turn on the anti-theft control mode, including at least one of:
the control module locks user data and uploads the user data to a server through the communication module, wherein the user data is memory data of the intelligent wearable device;
the control module disables an interactive function, wherein the interactive function comprises a communication function and a setting function;
the control module activates a positioning module, and the positioning module positions the current position of the intelligent wearable device and uploads the current position to the server;
the control module sends an alarm instruction to the server through the communication module, wherein the alarm instruction is used for indicating that the intelligent wearable equipment is in a lost state.
In one possible design, the control module is further configured to:
receiving an unlocking instruction, wherein the unlocking instruction comprises an unlocking identity mark;
and if the unlocking identity identification passes the authentication, the intelligent wearable equipment exits the anti-theft control mode.
Optionally, the duration corresponding to the second period is an integer multiple of the duration corresponding to the first period.
Optionally, the communication module includes: at least one of a Wi-Fi module and an NFC module.
Optionally, the positioning module is a GPS positioning module.
The application provides an anti-theft control method and intelligent wearable equipment, wherein the anti-theft control method is applied to the intelligent wearable equipment. The intelligent wearable device acquires current user behavior data through a physiological characteristic detection module, wherein the data comprises user physiological characteristic data in a first period, and sends the current user behavior data to a control module, and the user physiological characteristic data comprises at least one item of physiological index detection data. The control module determines a current behavior characteristic value according to the received current user behavior data and a preset characteristic value algorithm, determines a difference value between the current behavior characteristic value and a historical behavior characteristic value, and starts an anti-theft control mode of the intelligent wearable device if the difference value is larger than a preset difference threshold value. The historical behavior characteristic value is determined by the control module according to historical behavior data and a preset characteristic value algorithm, wherein the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period. Therefore, the intelligent wearing equipment can realize anti-theft control through the embedded functional module of the intelligent wearing equipment, so that the memory data and the user information of the lost intelligent wearing equipment are not further threatened, and assistance is provided for user recovery, thereby improving the practicability of the intelligent wearing equipment and improving the user experience.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is an application scenario diagram of an intelligent wearable device provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of an anti-theft control method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of another anti-theft control method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an intelligent wearable device according to an embodiment of the present application;
fig. 5 is a schematic entity structure diagram of an intelligent wearable device according to an embodiment of the present application;
fig. 6 is a block diagram of an intelligent wearable device provided in an embodiment of the present application.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of methods and apparatus consistent with aspects of the present application as detailed in the accompanying claims.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, 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 such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Today, smart terminals, such as smartphones, smart home appliances, and smart wearable devices, have become necessities for every person to live. Because of the characteristics of miniaturization and intellectualization, the intelligent terminal belongs to a high-value product for users. Most intelligent terminals belong to portable objects, have small volume and are very easy to be stolen or lost by people. If this happens, not only economic losses are brought to the user, but also immeasurable threats are possibly brought to the user's information or personal safety. It can be seen that how the intelligent terminal performs anti-theft control is a problem that current developers need to face. In the prior art, some intelligent terminals, such as smartphones, often have a general platform, so that anti-theft control can be realized through software, a touch screen, a camera and/or the like and/or fingerprints. However, some smart terminals, such as smart wearable devices, cannot implement anti-theft control in the above manner through software, touch screen, camera, etc. devices and/or fingerprints due to their own architecture limitations.
Aiming at the problems in the prior art, the application provides an anti-theft control method and intelligent wearing equipment, wherein the anti-theft control method is applied to the intelligent wearing equipment. The intelligent wearable device acquires user physiological characteristic data in a first period in the current user behavior data through a physiological characteristic detection module and sends the current user behavior data to a control module, wherein the user physiological characteristic data comprises at least one item of physiological index detection data. The control module determines a current behavior characteristic value according to the received current user behavior data and a preset characteristic value algorithm, determines a difference value between the current behavior characteristic value and a historical behavior characteristic value, and starts an anti-theft control mode of the intelligent wearable device if the difference value is larger than a preset difference threshold value. The historical behavior characteristic value is determined by the control module according to historical behavior data and a preset characteristic value algorithm, wherein the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period. Through the anti-theft control method provided by the application, the intelligent wearing equipment can realize anti-theft control through the existing functions of the intelligent wearing equipment, so that the practicability of the intelligent wearing equipment is improved, and the user experience is further improved.
The technical scheme of the present application is described in detail below with specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 is an application scenario diagram of an intelligent wearable device provided in an embodiment of the present application, as shown in fig. 1, the intelligent wearable device is illustrated by using an intelligent bracelet 1, when a user wears the intelligent bracelet 1, the intelligent bracelet 1 can perform anti-theft control through a functional module embedded in itself, for example, the functional module may be a biological feature detection module 2 and a control module 3, where the biological feature detection module 2 includes various sensors and/or short-distance modules embedded in the intelligent wearable device, and the control module 3 may be a processor. When the loss occurs, the memory data and the user information of the intelligent wearing equipment can be protected from further threat, and more auxiliary information can be provided for the recovery of the user with the assistance of the server 4, so that the practicability of the intelligent wearing equipment is improved, and the user experience is improved.
It is worth noting that the intelligent wearable device in the embodiment of the application includes, but is not limited to, an intelligent bracelet, an intelligent watch, an intelligent glasses, an intelligent accessory, an intelligent garment and the like, and the intelligent terminal includes a biological feature detection module and a control module.
Fig. 2 is a schematic flow chart of an anti-theft control method provided by an embodiment of the present application, where an intelligent wearable device can execute the anti-theft control method provided by the present application through a self-embedded functional module. As shown in fig. 2, the anti-theft control method provided in this embodiment includes:
s201: and acquiring current user behavior data.
Wherein the current user behavior data comprises user physiological characteristic data in a first period, and the user physiological characteristic data comprises at least one item of physiological index detection data.
And acquiring current user behavior data, wherein the current user behavior data comprises user physiological characteristic data in a first period, namely acquiring the user physiological characteristic data corresponding to the current moment of each interval of the first period duration. The acquired physiological characteristic data of the user comprises at least one item of physiological index detection data, such as at least one item of index detection data of step number, heart rate, body temperature, bioelectricity and the like. It can be understood that for intelligent wearable devices, the purpose that the user can better perceive external and own information when wearing the device, and further process the information more efficiently with the assistance of a computer, a network and even human beings, so that the user realizes self-quantization and in-vitro evolution. Therefore, for at least one piece of physiological index detection data included in the obtained physiological characteristic data of the user in the embodiment of the present application, the detection data may be specifically determined according to data that can be detected by various sensors and/or short-distance modules embedded in the corresponding smart wearable device. The embodiments of the present application are not limited in this regard.
The duration of the first period may be set by a person skilled in the art according to performance characteristics, power supply capacity, use, etc. of the smart wearable device, for example, the smart bracelet may be worn by a user for ten or more hours each time, and the duration of the first period may be set to be every few hours, for example, two hours, which is not limited in this embodiment of the present application. Optionally, for the intelligent wearable device capable of performing the anti-theft control method provided by the embodiment of the present application, the duration of the first period may also be set and adjusted by the user according to the use frequency and/or duration of the user when the user uses the intelligent wearable device.
And for the current user behavior data, acquiring the current user behavior data by an embedded physiological characteristic detection module of the intelligent wearable device. The physiological characteristic detection module includes, but is not limited to, at least one of a motion sensor, a heart rate sensor, a body temperature sensor, a bioelectric sensor. It can be appreciated that various sensors and/or short-range modules are typically embedded in the smart wearable device, and can collect various physiological index detection data of the user, so as to implement various functions of the smart wearable device, such as a smart exercise bracelet, through which the exercise step number of the user can be detected, and through which the heart rate data of the user can be detected. Therefore, the behavior data of the current user can be obtained through various physiological characteristic detection modules of the intelligent wearable equipment.
Optionally, the current user behavior data further comprises environmental characteristic data in the first period, the environmental characteristic data comprising at least one item of environmental indicator detection data.
The current user behavior data acquired through the physiological characteristic detection module of the intelligent wearable device further comprises environmental characteristic data in a first period, namely, the environmental characteristic data of the current moment of each interval of the first period duration is acquired, wherein the environmental characteristic data comprises at least one environmental index detection data. It is also understood that environmental characteristic data is obtained in the current environment in which the user wears the smart wearable device. The environmental index is at least one index detection data such as the ambient air pressure, the ambient brightness, the position information, etc. Similar to the physiological characteristic data of the user, the embodiment of the application does not limit the environmental index detection data included in the acquired environmental characteristic data.
The environmental characteristic data may be obtained by at least one of a proximity sensor and an environmental sensor that the physiological characteristic detection module further includes.
It can be appreciated that the intelligent wearable device provided by the embodiment of the present application is capable of storing the current user behavior data obtained in each interval of the first period duration.
S202: and determining the characteristic value of the current behavior according to the current user behavior data and a preset characteristic value algorithm.
After the current user behavior data is obtained, determining a current behavior characteristic value according to the current user behavior data and a preset characteristic value algorithm, namely processing the current user behavior data through the preset characteristic value algorithm to determine the current behavior characteristic value.
For example, the first period is T1, e.g.The feature vector P in the following equation (1) T1 Representing current user behavior data, the current user behavior data may be represented as:
P T1 ＝(λ 1 ,λ 2 ,....λ n ) (1)
wherein lambda is the current behavior characteristic value corresponding to each piece of physiological index detection data or each piece of environment index detection data.
It should be noted that, for some physiological indicators or environmental indicators, the current user behavior data is the current corresponding data, such as the number of steps, in the duration of the first period of each interval, and the current behavior feature value is the total number of steps generated in the duration of the first period. For some physiological indexes or environmental indexes, multiple data can be acquired multiple times in the first period, and then the current behavior characteristic value is an average value of multiple data of the index acquired in the first period.
Optionally, the daily behavior feature value, the weekly behavior feature value, the monthly behavior feature value and other feature values with longer periods can be determined according to the current user behavior data and a preset feature value algorithm by taking the day, the week and the month as time units.
S203: and determining a difference value between the current behavior characteristic value and the historical behavior characteristic value.
The historical behavior characteristic value is determined according to historical user behavior data and a preset characteristic value algorithm, wherein the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period.
The historical behavioral data includes user physiological characteristic data for a second period, i.e., user physiological characteristic data for a duration of the second period. The historical behavior data may be understood as storing the current user behavior data after the current user behavior data of each first period duration is obtained, and the current user behavior data corresponding to each first period stored in the second period duration is the historical user behavior data because the second period includes the first period.
The implementation principle and effect of determining the historical behavior feature value according to the historical user behavior data and the preset feature value algorithm are similar to those of determining the current behavior feature value in step S202, and are not repeated here.
After determining the current behavior feature value and the historical behavior feature value, a difference value between the two may be calculated.
For example, the difference value is calculated by the formula (2), the formula (2) is as follows:
wherein P is Ti Is the current behavior characteristic value, P 'corresponding to the ith physiological or environmental detection index in the T period' Ti Is the historical behavior characteristic value corresponding to the current behavior characteristic value belonging to the same physiological or environment detection index in the T period,
and Z is a difference value, wherein the weight corresponds to the ith physiological or environment detection index.
It will be appreciated that the period T may be selected as one of a daily, weekly, monthly, etc. period. The weight can be set according to physiological and/or environmental detection indexes related to a specific intelligent wearable device, or can be dynamically adjusted by a user according to daily behaviors of wearing the intelligent wearable device, and compared with the weight, the embodiment of the application is not limited.
S204: if the difference value is larger than the preset difference threshold value, starting an anti-theft control mode.
After determining the difference value between the current behavior characteristic value and the historical behavior characteristic value, comparing the relation between the difference value and a preset difference threshold value, if the determined difference value is larger than the preset difference threshold value, indicating that the intelligent wearing equipment is in a lost state, wherein the lost state is stolen or lost, and at the moment, starting an anti-theft control mode, wherein the anti-theft control mode can be understood as a protection mode of the intelligent wearing equipment, so that memory data or user information of the lost intelligent wearing equipment is not further threatened, and activating some functions to enable the lost intelligent wearing equipment to be retrieved.
And if the difference value is not greater than the preset difference threshold, the intelligent wearable device is indicated to run normally, at this time, the current behavior data is reserved, and the historical behavior data is cleared, so that the self-adaption of the intelligent terminal device and the user behavior is maintained.
The setting of the preset difference threshold can be factory set by a person skilled in the art according to the performance and the purpose of the intelligent wearing equipment, and can also be dynamically adjusted by a user according to daily activities performed by wearing the intelligent wearing equipment, so that the embodiment of the application is not limited.
Optionally, in the above embodiment, the current user behavior data further comprises a time identifier, the time identifier being used to determine the first period and the second period.
The current user behavior data further comprises a time identifier, which can be understood as adding time stamp information to the current user behavior data when the current user behavior data is acquired, wherein the added time stamp is the current time for acquiring the current user behavior data, and the time stamp information is the time identifier. The difference value between the time stamps corresponding to the adjacent current user behavior data is the first period. The difference between the timestamp included in the earliest current user behavior data and the timestamp included in the latest current user behavior data is the second period.
Optionally, the duration corresponding to the second period is an integer multiple of the duration corresponding to the first period, for example, the duration corresponding to the first period is one hour, then the duration corresponding to the second period is two hours, three hours, or the like, even N hours, where N is a positive integer. The duration of the first period and the second period can be set when the intelligent wearing equipment leaves the factory, and can be dynamically adjusted by a user according to daily activities carried out when the user wears the intelligent wearing equipment, so that the embodiment of the application is not limited.
Steps S202 to S204 in the present embodiment are performed by a control module of the intelligent terminal device, where the control module may be a processor, and the processor is configured to perform the anti-theft control method in steps S202 to S204.
The anti-theft control method provided by the embodiment is applied to intelligent wearable equipment. Firstly, current user behavior data are acquired, wherein the data comprise user physiological characteristic data in a first period, and the user physiological characteristic data comprise at least one item of physiological index detection data. And then determining a current behavior characteristic value according to the received current user behavior data and a preset characteristic value algorithm, determining a difference value between the current behavior characteristic value and a historical behavior characteristic value, and starting an anti-theft control mode of the intelligent wearable device if the difference value is larger than a preset difference threshold value. The historical behavior characteristic value is determined by the control module according to historical behavior data and a preset characteristic value algorithm, wherein the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period. According to the anti-theft control method provided by the embodiment, the intelligent wearable device can realize anti-theft control through the embedded functional module, so that the memory data or user information of the lost intelligent wearable device is not further threatened, and assistance is provided for user recovery, thereby improving the practicability of the intelligent wearable device and improving user experience.
In one possible design, the anti-theft control mode is turned on, including at least one of:
s2041: and locking user data, and uploading the user data to a server, wherein the user data is memory data of the intelligent wearable device.
S2042: and disabling the interactive function, wherein the interactive function comprises a communication function and a setting function.
S2043: and activating a positioning function, wherein the positioning function is used for uploading the current position of the intelligent wearable device to the server.
S2044: and sending an alarm instruction to the server, wherein the alarm instruction is used for indicating that the intelligent wearable device is in a lost state.
The contents included in S2041 to S2044 are described below, respectively.
S2041: and locking user data, and uploading the user data to a server, wherein the user data is memory data of the intelligent wearable device.
After the anti-theft control mode is turned on, the control module may lock the user data, wherein the locked user data may understand that the current user cannot perform any operation on the memory data of the smart wearable device, such as viewing, copying, editing, and the like. And the communication module of the intelligent terminal equipment uploads the user data to the server.
S2042: and disabling the interactive function, wherein the interactive function comprises a communication function and a setting function.
One of the anti-theft control modes is to disable the interactive function, i.e. the control module disables the function of the smart wearable device when the smart wearable device is normally used, such as the communication function, the setting function, etc. of the smart wearable device.
S2043: and activating a positioning function, wherein the positioning function is used for uploading the current position of the intelligent wearable device to the server.
After the anti-theft control module is started, the control module activates the positioning module, the positioning module feeds back the current position of the intelligent wearing equipment, and the current position data is uploaded to the server, so that the accurate current position information of the lost intelligent wearing equipment can be timely obtained in the server corresponding to the intelligent wearing equipment. Optionally, after activating the positioning function, the positioning function can also periodically upload the current location to the server so that the trail of the lost smart wearable device can be viewed in the server.
S2044: and sending an alarm instruction to the server, wherein the alarm instruction is used for indicating that the intelligent wearable device is in a lost state.
After the anti-theft control module is started, the control module sends an alarm instruction to the server through the communication module so as to prompt the intelligent wearing equipment to be in a lost state currently, so that a user can know that the intelligent wearing equipment is lost currently in time.
Optionally, multiple intelligent terminals of the user, such as a smart phone, an intelligent wearable device, a notebook computer, and the like, may share one server, and when sending an alarm instruction to the server, other intelligent terminals of the user sharing one server with the intelligent wearable device may also receive the alarm instruction at the same time, so that the user can more timely learn that the current intelligent wearable device is lost, and can take an alarm or other measures to retrieve the lost intelligent wearable device.
It should be noted that, the server in the embodiment of the present application corresponds to the smart wearable device, and is only a network platform and/or cloud server, etc., where the owner of the smart wearable device has authority to operate, for example, iboud. The communication module may be a wireless local area network (Wi-Fi) module and/or a near field communication (Near Field Communication, abbreviated as NFC) module, and the positioning module may be a global positioning system (Global Positioning System, abbreviated as GPS) positioning module. It can be understood that the communication module and the positioning module are embedded functional modules of the intelligent wearable device.
The anti-theft control mode includes, but is not limited to, at least one of the modes described in S2041-S2044 above, and a person skilled in the art may perform other mode setting according to the specific performance of the smart wearable device, or combine the modes above to achieve protection of the memory data or user information of the lost smart wearable device from further threat, and activate some functions to assist the user in retrieving the lost smart wearable device, which is not limited in the application embodiments.
The anti-theft control mode provided by the embodiment comprises the steps of locking user data and uploading the user data to a server, wherein the user data is memory data of intelligent wearable equipment; disabling an interactive function, wherein the interactive function comprises a communication function and a setting function; activating a positioning function, wherein the positioning function is used for uploading the current position of the intelligent wearable device to a server; the method comprises the steps of sending an alarm instruction to a server, wherein the alarm instruction is used for indicating that the intelligent wearable device is in a lost state, enabling memory data or user information of the intelligent wearable device not to be further threatened through a functional module embedded in the intelligent wearable device, and activating functions to assist a user in retrieving the lost intelligent wearable device.
Based on the implementation, the method further includes steps shown in fig. 3 when the lost intelligent wearable device is recovered, and fig. 3 is a flow chart of another anti-theft control method provided in the embodiment of the present application, as shown in fig. 3, the steps include:
s301: and receiving an unlocking instruction.
The unlocking instruction comprises an unlocking identity.
When the lost intelligent wearable device is retrieved, a user can input an unlocking instruction to the intelligent wearable device through an unlocking tool and/or a network, wherein the unlocking instruction comprises an unlocking identity, the unlocking identity is matched with a serial number or a device number of the intelligent wearable device when leaving a factory in pairs, and the intelligent wearable device is provided with only one serial number or device number to identify the intelligent wearable device. The unlocking instruction is used for an authentication key of the intelligent wearable device, the control module of the intelligent wearable device receives the unlocking instruction, and the unlocking instruction is used for authentication of the intelligent wearable device.
S302: if the unlocking identity identification passes the authentication, the anti-theft control mode is exited.
And when the unlocking identity identification passes the authentication, the control module closes the anti-theft control mode, namely the intelligent wearable equipment exits the anti-theft control mode and resumes the normal use state.
According to the anti-theft control method provided by the embodiment, when the lost intelligent wearable device is retrieved, a user inputs an unlocking instruction to the intelligent wearable device, the unlocking instruction comprises an unlocking identity, a control module of the intelligent wearable device authenticates according to the unlocking instruction, when the authentication is passed, the control module closes an anti-theft control mode, and the intelligent wearable device exits the anti-theft control mode to restore a normal use state.
Fig. 4 is a schematic structural diagram of an intelligent wearable device provided in an embodiment of the present application. As shown in fig. 4, the smart wearable device 400 provided in this embodiment includes:
the physiological characteristic detection module 401 is configured to obtain user physiological characteristic data in a first period of the current user behavior data, where the user physiological characteristic data includes at least one item of physiological index detection data, and send the current user behavior data to the control module.
The control module 402 is configured to determine a current behavior feature value according to current user behavior data and a preset feature value algorithm, and determine a difference value between the current behavior feature value and a historical behavior feature value, where the historical behavior feature value is determined according to historical user behavior data and the preset feature value algorithm, and the historical user behavior data includes user physiological feature data in a second period, and the second period includes the first period.
If the difference value is greater than the preset difference threshold, the control module 402 is further configured to start the anti-theft control mode.
Optionally, the duration corresponding to the second period is an integer multiple of the duration corresponding to the first period.
The control module 402 may be the processor 4020 of the smart wearable device 400. The smart wearable device 400 stores data generated in the anti-theft control method, such as acquired current user behavior data, historical behavior data, and the like, through the memory 4030 in the storage module 403.
The embodiment provides intelligent wearing equipment, firstly, current user behavior data is obtained through a physiological characteristic detection module, the data comprises user physiological characteristic data in a first period, and the current user behavior data is sent to a control module, wherein the user physiological characteristic data comprises at least one item of physiological index detection data. And then the control module determines a current behavior characteristic value according to the received current user behavior data and a preset characteristic value algorithm, determines a difference value between the current behavior characteristic value and a historical behavior characteristic value, and starts an anti-theft control mode of the intelligent wearable device if the difference value is larger than a preset difference threshold value. The historical behavior characteristic value is determined by the control module according to historical behavior data and a preset characteristic value algorithm, wherein the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period. The intelligent wearable device provided by the embodiment can realize anti-theft control through the embedded functional module of the intelligent wearable device, so that the memory data or the user information of the lost intelligent wearable device is not further threatened, and assistance is provided for user recovery, thereby improving the practicability of the intelligent wearable device and improving the user experience.
Referring to fig. 4, the physiological characteristic detection module 401 includes: at least one of a motion sensor 4011, a heart rate sensor 4012, a body temperature sensor 4013, and a bioelectric sensor 4014.
Specifically, the user physiological characteristic data is acquired through at least one of the motion sensor 4011, the heart rate sensor 4012, the body temperature sensor 4013, and the bioelectric sensor 4014.
Optionally, the current user behavior data further comprises environmental characteristic data in a first period, the historical user behavior data further comprises environmental characteristic data in a second period, and the environmental characteristic data comprises at least one environmental indicator detection data.
With continued reference to fig. 4, the physiological characteristic detection module 401 further includes: at least one of the proximity sensor 4015 and the environment sensor 4016.
Specifically, the environmental characteristic data is acquired through at least one of the proximity sensor 4015 and the environmental sensor 4016.
It is noted that the physiological characteristic detection module 401 includes, but is not limited to, the various sensors described above.
In one possible design, the control module 402 is further configured to add a time identifier to the current user behavior data, where the time identifier is used to determine the first period and the second period.
In one possible design, the control module 402 is further configured to enable an anti-theft control mode, including at least one of:
The control module 402 locks the user data, and uploads the user data to the server through the communication module 404, where the user data is the memory data of the intelligent wearable device 400;
the control module 402 disables interactive functions including a communication function and a setup function;
the control module 402 activates the positioning module 405, and the positioning module 405 positions the current position of the smart wearable device 400 and uploads the current position to the server;
the control module 402 sends an alarm command to the server via the communication module 404, where the alarm command is used to indicate that the smart wearable device 400 is in a lost state.
It can be appreciated that the communication module 404 and the positioning module 405 are both embedded functional modules of the smart wearable device 400.
The implementation principle and effect of the present embodiment are similar to those of the above-mentioned S2041-S2044, and will not be repeated here.
When the smart wearable device is retrieved, optionally, the control module 402 is further configured to:
receiving an unlocking instruction, wherein the unlocking instruction comprises an unlocking identity mark;
if the unlock identity authentication passes, the smart wearable device 400 exits the anti-theft control mode.
The implementation principle and effect of this embodiment are similar to those shown in fig. 3, and will not be described here again.
Referring to fig. 4, optionally, the communication module 404 includes, but is not limited to, at least one of a Wi-Fi module 4041 and an NFC module 4042.
Optionally, the positioning module 405 includes, but is not limited to, a GPS positioning module 4051.
Optionally, the server is a network platform and/or cloud server, etc. corresponding to the smart wearable device 400, and only the owner of the smart wearable device 400 has the right to operate.
The above describes internal functional modules and structural schematic diagrams of the smart wearable device, and fig. 5 is a schematic entity structure diagram of the smart wearable device provided in the embodiment of the present application, as shown in fig. 5, where the smart wearable device 500 includes:
at least one processor 501; and
a memory 502 communicatively coupled to the at least one processor 501; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory 502 stores instructions executable by the at least one processor 501 to enable the at least one processor 501 to perform the steps of the anti-theft control method described above, particularly with reference to the relevant description of the method embodiments described above.
Fig. 6 is a block diagram of an intelligent wearable device provided in an embodiment of the present application, for example, the intelligent wearable device 600 may be a smart watch, a smart bracelet, a smart glasses, a smart accessory, a smart garment, or the like.
As shown in fig. 6, the smart wearable device 600 may include one or more of the following components: a processing component 602, a memory 604, a power component 606, a multimedia component 608, an audio component 610, an input/output (I/O) interface 612, a sensor component 614, and a communication component 616.
The processing component 602 generally controls overall operation of the device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 may include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the device 600. Examples of such data include instructions for any application or method operating on device 600. The memory 604 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 606 provides power to the various components of the device 600. The power components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 600.
The multimedia component 608 includes a screen between the device 600 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation.
The audio component 610 is configured to output and/or input audio signals. For example, the audio component 610 includes a Microphone (MIC) configured to receive external audio signals when the device 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 614 includes one or more sensors for providing status assessment of various aspects of the device 600. For example, the sensor assembly 614 may include a motion sensor, heart rate sensor, body temperature sensor, biometric sensor, etc. to detect physiological characteristic data of a user wearing the smart wearable device 600. A change in position of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, the orientation or acceleration/deceleration of the device 600, and a change in temperature of the device 600 may be detected. The sensor assembly 614 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact to enable acquisition of environmental characteristic data. The sensor assembly 614 may also include an environmental sensor, such as a CMOS or CCD image sensor. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor, among others.
The communication component 616 is configured to facilitate communication between the device 600 and other devices, either wired or wireless. The device 600 may access a wireless network based on a communication standard, such as Wi-Fi,4G, or 5G, or a combination thereof. In one exemplary embodiment, the communication component 616 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. And the communication component 616 may also include a positioning module, such as a GPS positioning module. In one exemplary embodiment, the communication component 616 further includes an NFC module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the steps of the anti-theft control method in the above embodiments is provided. For example, the readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. An antitheft control method is characterized by being applied to intelligent wearable equipment and comprising the following steps:
acquiring current user behavior data, wherein the current user behavior data comprises user physiological characteristic data in a first period, and the user physiological characteristic data comprises at least one item of physiological index detection data;
determining a current behavior characteristic value according to the current user behavior data and a preset characteristic value algorithm;
Determining a difference value between the current behavior characteristic value and a historical behavior characteristic value, wherein the historical behavior characteristic value is determined according to historical user behavior data and the preset characteristic value algorithm, the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period; the current user behavior data further comprises environmental characteristic data in the first period, the historical user behavior data further comprises environmental characteristic data in the second period, and the environmental characteristic data comprises at least one environmental index detection data;
if the difference value is larger than a preset difference threshold value, the intelligent wearable equipment is in a stolen or lost state, and an anti-theft control mode is started;
the starting anti-theft control mode comprises the following steps:
sending an alarm instruction to a server, wherein the alarm instruction is used for indicating that the intelligent wearable equipment is in a lost state;
when the alarm instruction is sent to the server, other intelligent terminals of the user sharing one server with the intelligent wearable device can simultaneously receive the alarm instruction, so that the user can know that the intelligent wearable device is lost.
2. The antitheft control method of claim 1 wherein the current user behavior data further comprises a time identifier, the time identifier being used to determine the first period and the second period.
3. The antitheft control method according to claim 1 or 2, characterized in that the starting antitheft control mode further includes at least one of:
locking user data, and uploading the user data to a server, wherein the user data is memory data of the intelligent wearable device;
disabling an interactive function, the interactive function including a communication function and a setting function;
activating a positioning function, wherein the positioning function is used for uploading the current position of the intelligent wearable device to the server.
4. The antitheft control method according to claim 1 or 2, characterized by further comprising:
receiving an unlocking instruction, wherein the unlocking instruction comprises an unlocking identity mark;
and if the unlocking identity identification passes the authentication, exiting the anti-theft control mode.
5. The antitheft control method according to claim 1 or 2, characterized in that the duration corresponding to the second period is an integer multiple of the duration corresponding to the first period.
6. An intelligent wearable device, comprising:
the physiological characteristic detection module is used for acquiring the physiological characteristic data of the user in the first period in the current user behavior data, wherein the physiological characteristic data of the user comprises at least one item of physiological index detection data, and the current user behavior data is sent to the control module;
the control module is used for determining a current behavior characteristic value according to the current user behavior data and a preset characteristic value algorithm, and determining a difference value between the current behavior characteristic value and a historical behavior characteristic value, wherein the historical behavior characteristic value is determined according to historical user behavior data and the preset characteristic value algorithm, the historical user behavior data comprises user physiological characteristic data in a second period, and the second period comprises the first period; the current user behavior data further comprises environmental characteristic data in the first period, the historical user behavior data further comprises environmental characteristic data in the second period, and the environmental characteristic data comprises at least one environmental index detection data;
if the difference value is larger than a preset difference threshold value, the intelligent wearable equipment is in a stolen or lost state, and the control module is further used for starting an anti-theft control mode;
The starting anti-theft control mode comprises the following steps:
the control module sends an alarm instruction to the server through the communication module, wherein the alarm instruction is used for indicating that the intelligent wearable equipment is in a lost state;
when the control module sends an alarm instruction to the server through the communication module, other intelligent terminals of a user sharing one server with the intelligent wearable equipment can simultaneously receive the alarm instruction, so that the user can know that the intelligent wearable equipment is lost.
7. The smart wearable device of claim 6, wherein the physiological characteristic detection module comprises: at least one of a motion sensor, a heart rate sensor, a body temperature sensor and a biological sensor.
8. The smart wearable device of claim 7, wherein the physiological characteristic detection module further comprises: at least one of a proximity sensor and an environmental sensor.
9. The smart wearable device of any of claims 6-8, further comprising: the communication module and the positioning module;
the communication module comprises at least one of a Wi-Fi module and an NFC module;
The positioning module is a GPS positioning module.
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| CN105095802A (en) * | 2014-04-25 | 2015-11-25 | 北京奇虎科技有限公司 | Antitheft method for smart terminal device and smart terminal device |
| CN105450841A (en) * | 2014-09-25 | 2016-03-30 | 小米科技有限责任公司 | Method and device of terminal guard against theft |
| CN104361303A (en) * | 2014-10-22 | 2015-02-18 | 小米科技有限责任公司 | Terminal exception processing method and device and electronic equipment |
| CN104835274B (en) * | 2015-05-06 | 2017-04-19 | 广东欧珀移动通信有限公司 | Wearable device anti-theft method, apparatus and wearable device |
| CN106301778A (en) * | 2015-05-19 | 2017-01-04 | 中兴通讯股份有限公司 | Auth method, device, system and user terminal |
| CN105162976B (en) * | 2015-08-24 | 2019-03-05 | 努比亚技术有限公司 | Mobile terminal and its anti-theft processing method |
| CN106899745A (en) * | 2015-12-18 | 2017-06-27 | 小米科技有限责任公司 | Unlocking method, device and terminal |
| CN105893888A (en) * | 2016-03-31 | 2016-08-24 | 广东小天才科技有限公司 | Anti-theft and anti-lost method and system of intelligent terminal |
| CN107361759A (en) * | 2017-08-24 | 2017-11-21 | 深圳金康特智能科技有限公司 | A kind of anti-theft intelligent wearable device based on rhythm of the heart |
| CN108811181A (en) * | 2018-04-27 | 2018-11-13 | 努比亚技术有限公司 | Intelligent wearable device, security method and computer readable storage medium |
| CN108875327A (en) * | 2018-05-28 | 2018-11-23 | 阿里巴巴集团控股有限公司 | One seed nucleus body method and apparatus |
| CN108875344A (en) * | 2018-06-25 | 2018-11-23 | Oppo（重庆）智能科技有限公司 | A kind of electronic equipment control method, electronic appliance controlling device and electronic equipment |
| CN109034060B (en) * | 2018-07-25 | 2022-04-12 | 深圳市元征科技股份有限公司 | Wearing state detection method and device |
| CN109658668A (en) * | 2019-01-23 | 2019-04-19 | 出门问问信息科技有限公司 | Alarm method, warning device and intelligent wearable device |
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