Privacy protection method and system for smart watch

Abstract

The invention is suitable for the technical field of privacy protection, and particularly relates to a privacy protection method and system for a smart watch, and the method comprises the steps: obtaining the pairing data of the smart watch, recognizing a trusted device, reading the storage data in the smart watch, segmenting the storage data into sensitive data and basic data, and when it is monitored that the smart watch is out of the wrist, sending the sensitive data to the smart watch; positioning the real-time position of the smart watch; and constructing a use position set, selecting a trusted position, judging whether the real-time position coincides with the trusted position or not, if so, opening the reading authority of the basic data, and if not, sending a preset request window to trusted equipment. By determining the breathing rhythm, the smart watch can be unlocked without externally displaying actions, the privacy is high, and the use requirements of different scenes are met, so that the convenience of unlocking the smart watch is greatly enhanced while the privacy protection effect is improved, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of privacy protection technology, and in particular to a privacy protection method and system for a smart watch. Background Art

[0002] A smartwatch is a wearable smart device that combines the appearance and design of a traditional watch with some of the functions of a smartphone. It provides users with a variety of services such as health management, communication, navigation and entertainment by connecting to a smartphone or running independently.

[0003] Smart watches in the existing technology rely on paired mobile phones to identify user identities by default. When the watch is off the user's wrist, the data in the watch can still be accessed without verification, which can easily lead to privacy data leakage. If the identity authentication mechanism is simply added, it will easily cause user disgust and reduce the user experience.

[0004] Therefore, “how to use breathing rhythm to unlock a smart watch” is the technical problem that the present invention needs to solve. Summary of the Invention

[0005] The purpose of the present invention is to provide a privacy protection method and system for a smart watch to solve the problem of "how to use breathing rhythm to unlock a smart watch" raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A privacy protection method for a smart watch, the method comprising:

[0008] Obtain the pairing data of the smartwatch, identify the trusted device, read the stored data in the smartwatch, and divide it into sensitive data and basic data. When the smartwatch is detected to be off the wrist, locate the real-time location of the smartwatch;

[0009] Constructing a usage location set and selecting a trusted location, determining whether the real-time location coincides with the trusted location, and if so, granting read access to the basic data; if not, sending a preset request window to the trusted device;

[0010] When the user is detected wearing the smartwatch again, sensor data collected by the smartwatch is received, wherein the sensor data includes at least heart rate, blood oxygen and electrocardiogram data, and heart rate features are extracted;

[0011] Determine whether the wearer has changed. If so, construct an activation mechanism based on the pre-stored breathing rhythm, wherein the activation mechanism is: automatically unlock when the smart watch detects the breathing rhythm; if not, open the read permission of all stored data.

[0012] Furthermore, the steps of obtaining the pairing data of the smart watch and identifying the trusted device include:

[0013] The smartwatch collects the Bluetooth signal strength of the trusted device and determines a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay;

[0014] The real-time position and change trend are integrated to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan.

[0015] Furthermore, the steps of reading the stored data in the smartwatch and dividing it into sensitive data and basic data, and locating the real-time location of the smartwatch when detecting that the smartwatch is off the wrist, include:

[0016] Create a hierarchical storage mechanism consisting of cloud and local storage, upload the basic data to the cloud, and store the sensitive data locally;

[0017] Masking rules are embedded into the sensitive data.

[0018] Furthermore, the step of sending a preset request window to the trusted device includes:

[0019] Integrate a yes and no button into the request window, and when the user clicks the yes button, the read permission of all stored data is opened;

[0020] A time interval is embedded in the request window, and when the time interval ends, the read permission is revoked.

[0021] Furthermore, when the user is detected to be wearing the smart watch again, the step of receiving the sensor data collected by the smart watch includes:

[0022] Setting a fluctuation range for each sensor data, receiving physiological health data uploaded by the user, and offsetting the fluctuation range;

[0023] When the sensing data exceeds a fluctuation range, a paired device is identified and an alarm message is pushed to the paired device.

[0024] Furthermore, the step of constructing an activation mechanism via a pre-stored breathing rhythm includes:

[0025] receiving feedback uploaded by the user and adjusting the breathing rhythm;

[0026] A method for collecting the breathing rhythm is configured and sent to the paired device.

[0027] Furthermore, the method further comprises:

[0028] Dividing the stored data into a plurality of partitions, wherein each wearer corresponds to a partition;

[0029] The physiological characteristics of each wearer are identified through the sensing data, and a mapping between the physiological characteristics and the partitions is established.

[0030] Furthermore, the system includes:

[0031] The positioning module is used to obtain the pairing data of the smartwatch, identify trusted devices, read the stored data in the smartwatch, and divide it into sensitive data and basic data. When the smartwatch is detected to be off the wrist, the real-time location of the smartwatch is determined;

[0032] A construction module is used to construct a usage location set, select a trusted location, determine whether the real-time location coincides with the trusted location, and if so, grant read access to the basic data; if not, send a preset request window to the trusted device;

[0033] A monitoring module is configured to receive sensor data collected by the smartwatch after detecting that the user wears the smartwatch again, wherein the sensor data includes at least heart rate, blood oxygen and electrocardiogram data, and extract heart rate characteristics;

[0034] The judgment module is used to judge whether the wearer has changed. If so, an activation mechanism is constructed through a pre-stored breathing rhythm, wherein the activation mechanism is: when the smart watch detects the breathing rhythm, it automatically unlocks; if not, the read permission of all stored data is opened.

[0035] Furthermore, the positioning module includes:

[0036] a collecting unit, configured to collect the Bluetooth signal strength of the trusted device via the smart watch and determine a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay;

[0037] a generating unit, configured to integrate the real-time position and the change trend to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan;

[0038] A creation unit, configured to create a hierarchical storage mechanism consisting of a cloud and a local storage, upload the basic data to the cloud, and store the sensitive data locally;

[0039] The embedding unit is used to embed mask rules into the sensitive data.

[0040] Furthermore, the building blocks include:

[0041] An integration unit, configured to integrate a yes and no button into the request window, and when the user clicks the yes button, the read permission of all stored data is opened;

[0042] The revoking unit is configured to embed a time interval into the request window, and revoke the read permission after the time interval ends.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] By determining the real-time location, a personalized privacy management strategy can be established based on the location of the smart watch, thereby protecting privacy data more accurately. By determining the trusted location, different privacy protection strategies can be enabled, greatly improving the accuracy and flexibility of user privacy protection. By collecting heart rate characteristics, personalized data isolation can be provided to users, reducing the risk of privacy data leakage. By determining the breathing rhythm, the smart watch can be unlocked without the need for obvious action. It has strong privacy and meets the usage needs of different scenarios. While improving the privacy protection effect, it greatly enhances the convenience of unlocking the smart watch and improves the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of a privacy protection method for a smart watch provided by an embodiment of the present invention;

[0046] Figure 2 A block diagram of a first sub-process of the privacy protection method for a smart watch provided by an embodiment of the present invention;

[0047] Figure 3 A second sub-flow diagram of the privacy protection method for a smart watch provided by an embodiment of the present invention;

[0048] Figure 4 A third sub-flow diagram of the privacy protection method for a smart watch provided by an embodiment of the present invention;

[0049] Figure 5 A fourth sub-flow diagram of the privacy protection method for a smart watch provided by an embodiment of the present invention;

[0050] Figure 6 A block diagram of the privacy protection system for a smart watch provided by an embodiment of the present invention;

[0051] Figure 7 A block diagram of the positioning module in the privacy protection system of a smart watch provided by an embodiment of the present invention;

[0052] Figure 8 A block diagram of the components of the building blocks in the privacy protection system of a smart watch provided by an embodiment of the present invention;

[0053] Figure 9 A block diagram of the monitoring module in the privacy protection system of a smart watch provided by an embodiment of the present invention;

[0054] Figure 10 This is a block diagram of the composition of the judgment module in the privacy protection system of the smart watch provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0056] In Example 1, Figure 1 The implementation process of the privacy protection method of the smart watch provided by the embodiment of the present invention is shown and described in detail below:

[0057] S100: Obtain the pairing data of the smart watch, identify the trusted device, read the stored data in the smart watch, and divide it into sensitive data and basic data. When the smart watch is detected to be off the wrist, the real-time location of the smart watch is located.

[0058] Obtain the pairing data of the smart watch, identify all devices that have established a pairing relationship with the smart watch, and determine the devices that are trusted by the user for a long time based on the interaction frequency and pairing duration, namely the trusted devices; the trusted devices are mainly used to unlock the smart watch and manage data; read the data stored in the smart watch, namely the stored data; according to the preset data classification rules, divide the stored data into sensitive data and basic data. Sensitive data usually includes privacy information such as health indicators (such as heart rate, blood pressure, sleep records), location information, payment records and social chat records, while basic data includes exercise steps, battery status and public information; when the smart watch detects that the wrist is away, the pre-acquired positioning permission is used to locate the smart watch and determine the real-time location.

[0059] S200: Construct a usage location set, select a trusted location, and determine whether the real-time location coincides with the trusted location. If so, grant read access to the basic data; if not, send a preset request window to the trusted device.

[0060] Construct a usage location set containing the user's historical activity trajectory. Based on factors such as the user's stay duration, usage behavior pattern and human settings, select places where the user frequently visits, stays for a long time and has stable usage behavior from the usage location set as trusted locations, such as home and office places; with the user's authorization, collect the real-time location of the smart watch to determine whether the real-time location of the smart watch coincides with the trusted location. The coincidence here not only means complete coincidence, but also can be within the preset range of the trusted location, such as within a radius of 50 meters; if the real-time location coincides with the trusted location, it can be inferred that the smart watch is in a trusted environment; it should be noted that if the smart watch is off the wrist and disconnected from the trusted device, the read permission should be revoked immediately and the screen should be locked; if the smart watch is off the wrist but not disconnected from the trusted device, continue to determine whether the real-time location coincides with the trusted location.

[0061] If the smartwatch remains connected to a trusted device and its real-time location coincides with the trusted location, the user will be given access to basic data. In other words, the user can unlock the smartwatch and read basic data without verification. If the smartwatch remains connected to a trusted device but is not in a trusted location, a request window will be sent to the trusted device. This request window is a pop-up authorization notification, and the user can choose "Allow" or "Reject."

[0062] S300: When it is detected that the user wears the smart watch again, sensor data collected by the smart watch is received, where the sensor data at least includes: heart rate, blood oxygen and electrocardiogram data, and heart rate characteristics are extracted.

[0063] When the user is detected wearing the smart watch again, the sensors in the smart watch are used to collect sensor data, including heart rate, blood oxygen and electrocardiogram data. The heart rate data is analyzed, and the interference components in the signal are removed through processing operations such as filtering and denoising. The peak detection algorithm is then used to identify each heartbeat cycle, and the real-time heart rate value is calculated based on the time interval. Key characteristic indicators of the user's heart rate are extracted from it, such as average heart rate, maximum and minimum heart rates, and heart rate variability.

[0064] S400: Determine whether the wearer has changed. If so, construct an activation mechanism based on a pre-stored breathing rhythm, wherein the activation mechanism is: automatically unlock the smart watch when it detects the breathing rhythm; if not, grant read access to all stored data.

[0065] Multimodal physiological signals such as heart rate, electrocardiogram and blood oxygen are used to identify the user's identity and determine whether the wearer has changed. If the identification result shows that the wearer is inconsistent with the previous record, the wearer has changed. At this time, the wearer's breathing rhythm is monitored, where the breathing rhythm refers to the ratio between the duration of inspiration and the duration of expiration. The wearer is verified by comparing the preset ratio with the actual monitored ratio. In actual use, the wearer can cross the upper limbs wearing the smart watch in front of the chest, so that the smart watch is close to the chest, and by monitoring the rise and fall of the chest, the accuracy of breathing rhythm monitoring is further improved.

[0066] When the preset ratio is the same as the actual monitored ratio, the smart watch is unlocked and the wearer can access the basic data in the smart watch; if the recognition result shows that the wearer has not changed, the wearer will be directly given the right to read all stored data.

[0067] For example, the user's pre-stored breathing rhythm is "inhale for 3 seconds, exhale for 1 second". When the user takes off the smart watch and puts it on again, it is determined whether the user's breathing rhythm is "inhale for 3 seconds, exhale for 1 second". If so, the smart watch is unlocked and kept in the normally on state. During the wearing process, the user does not need to verify again; further, the user can cross the upper limbs wearing the smart watch in front of the chest to improve the accuracy of breathing rhythm monitoring.

[0068] In Example 2, Figure 2 The implementation process of the privacy protection method for a smartwatch provided by an embodiment of the present invention is shown. The steps of obtaining the user's initial pairing data and identifying the trusted device are described in detail below:

[0069] S101: Collecting Bluetooth signal strengths of trusted devices via the smart watch and determining a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay.

[0070] Using smart watches, the Bluetooth signal strength of trusted devices within a preset range is collected in real time, and the changing trend of each Bluetooth signal strength is determined.

[0071] S102: Integrate the real-time location and change trend to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan.

[0072] Based on the real-time location and change trend of the smart watch, risk judgment rules are generated and the preset disposal plan is activated; for example, a risk judgment rule is: when the change trend of the Bluetooth signal strength is rapid attenuation and the real-time location is not a trusted location, it means that the smart watch may have a data leakage risk; further, the cause of the above situation may be that the watch was mistakenly taken by someone else or omitted by the user; the corresponding disposal plan can be: sending an alarm message to the trusted device.

[0073] In Example 3, Figure 2 The implementation process of the privacy protection method for a smartwatch provided by an embodiment of the present invention is shown. The following details the steps of reading the stored data in the smartwatch, dividing it into sensitive data and basic data, and locating the real-time location of the smartwatch when it is detected that the smartwatch is off the wrist.

[0074] S103: Create a hierarchical storage mechanism consisting of cloud and local storage, upload the basic data to the cloud, and store the sensitive data locally.

[0075] Create a tiered storage mechanism, where the tiered storage mechanism refers to the tiered storage of basic data and sensitive data. Specifically, basic data is stored in the cloud and sensitive data is stored locally, thereby greatly improving the security of sensitive data and data call efficiency.

[0076] S104: Embed mask rules into the sensitive data.

[0077] Sensitive fields are processed according to preset masking rules; the masking rules may include: retaining only the last four digits of the phone number, replacing the middle digits of the ID card with asterisks, etc.

[0078] In Example 4, Figure 3 The implementation process of the privacy protection method of the smart watch provided by the embodiment of the present invention is shown. The steps of sending a preset request window to the trusted device are described in detail below:

[0079] S201: Integrate a yes and a no button into the request window. When the user clicks the yes button, the read permission of all stored data is opened.

[0080] When the request window pops up, the user can judge whether to allow the wearer to access the stored data in the smart watch according to the prompts. If the user clicks the "Yes" button, it is deemed that the user has agreed to the authorization, and the read permission of all stored data in the smart watch (including basic data and sensitive data) will be opened immediately; otherwise, if the user clicks the "No" button, all data reading requests will be rejected.

[0081] S202: Embed a time interval into the request window, and revoke the read permission when the time interval ends.

[0082] When the time interval ends, the data reading permission of the smart watch is revoked. The wearer can check the data in the smart watch again only after authorizing the trusted device or passing the breathing rhythm verification. The user refers to the wearer after the breathing rhythm verification, which can be simply understood as the owner of the smart watch.

[0083] In Example 5, Figure 4 The implementation process of the privacy protection method of the smart watch provided by the embodiment of the present invention is shown. The following details the steps of receiving the sensor data collected by the smart watch after the user is detected wearing the smart watch again.

[0084] S301: Setting a fluctuation range for each sensor data, receiving physiological health data uploaded by a user, and offsetting the fluctuation range.

[0085] Set the fluctuation range of each sensor data (such as heart rate, blood pressure, blood oxygen and body temperature, etc.), and the fluctuation range can reflect the upper and lower limits of normal physiological parameters; receive physiological health data uploaded by users, such as historical symptoms and current physiological status, and offset the fluctuation range according to the physiological health data; for example, appropriately increase the heart rate upper limit of users with hypertension.

[0086] S302: When the sensing data exceeds a fluctuation range, a paired device is identified and an alarm message is pushed to the paired device.

[0087] When the sensor data is monitored to be outside the corresponding fluctuation range, the device with Bluetooth connection to the smartwatch is identified and determined as a paired device, where the paired device can be a trusted device or not; an alarm message is pushed to the paired device; for example, the alarm message is: the current heart rate is 120 beats / minute, which has exceeded the preset normal fluctuation range (60-100 beats / minute). Please rest in time and pay attention to your physical condition. If you feel unwell, please seek medical attention as soon as possible.

[0088] In Example 6, Figure 5 The implementation process of the privacy protection method of the smart watch provided by the embodiment of the present invention is shown. The steps of constructing the activation mechanism through the pre-stored breathing rhythm are described in detail as follows:

[0089] S401: Receive feedback from the user and adjust the breathing rhythm.

[0090] Pre-stored breathing rhythms are developed based on user feedback.

[0091] S402: Configuring a method for collecting the breathing rhythm and sending the method to the paired device.

[0092] Determine the method for collecting breathing rhythm, which can be direct collection or collection by crossing the upper limbs wearing the smart watch in front of the chest; send the collection method to the paired device to ensure that the paired device can synchronously turn on the corresponding sensor module for data collection.

[0093] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0094] Dividing the stored data into a plurality of partitions, wherein each wearer corresponds to a partition;

[0095] The physiological characteristics of each wearer are identified through the sensing data, and a mapping between the physiological characteristics and the partitions is established.

[0096] The stored data is divided into multiple partitions based on the users of the stored data, with each wearer corresponding to one partition. In other words, the sensor data of each wearer is isolated and stored separately. The physiological characteristics of each wearer are determined, including but not limited to heart rate variability, blood oxygen level, and respiratory rate. For example, the physiological characteristic of a wearer is a high respiratory rate. A mapping, that is, a corresponding relationship, is established between the physiological characteristics and the partitions. The advantage of this is that personalized health management can be performed for the wearer, improving data analysis efficiency.

[0097] Figure 6 The following is a structural block diagram of a smartwatch privacy protection system according to an embodiment of the present invention. The smartwatch privacy protection system 1 includes:

[0098] Positioning module 11 is used to obtain the user's initial pairing data, identify trusted devices, read the stored data in the smart watch, and divide it into sensitive data and basic data. When the smart watch is detected to be off the wrist, it locates the real-time location of the smart watch;

[0099] A construction module 12 is configured to construct a usage location set, select a trusted location, determine whether the real-time location coincides with the trusted location, and if so, grant read access to the basic data; if not, send a preset request window to the trusted device;

[0100] The monitoring module 13 is configured to receive sensor data collected by the smart watch after detecting that the user wears the smart watch again, wherein the sensor data includes at least heart rate, blood oxygen and electrocardiogram data, and extract heart rate characteristics;

[0101] The judgment module 14 is used to judge whether the wearer has changed. If so, an activation mechanism is constructed through a pre-stored breathing rhythm, wherein the activation mechanism is: automatically unlocking when the smart watch detects the breathing rhythm; if not, opening the read permission of all stored data.

[0102] Figure 7 The following is a structural block diagram of the privacy protection system for a smartwatch according to an embodiment of the present invention. The positioning module 11 includes:

[0103] The collecting unit 111 is configured to collect the Bluetooth signal strength of the trusted device via the smart watch and determine a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay;

[0104] A generating unit 112 is configured to integrate the real-time location and the change trend to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan;

[0105] A creation unit 113 is configured to create a hierarchical storage mechanism consisting of a cloud and a local storage, upload the basic data to the cloud, and store the sensitive data locally;

[0106] The embedding unit 114 is configured to embed masking rules into the sensitive data.

[0107] Figure 8 The following is a structural block diagram of the privacy protection system for a smartwatch according to an embodiment of the present invention. The building block 12 includes:

[0108] An integration unit 121 is configured to integrate a yes and no button into the request window, and when the user clicks the yes button, the read permission for all stored data is granted;

[0109] The revoking unit 122 is configured to embed a time interval into the request window, and revoke the read permission after the time interval ends.

[0110] Figure 9 The following is a structural block diagram of the privacy protection system for a smartwatch according to an embodiment of the present invention. The monitoring module 13 includes:

[0111] A setting unit 131 is used to set the fluctuation range of each sensor data, receive the physiological health data uploaded by the user, and offset the fluctuation range;

[0112] The identification unit 132 is configured to identify a paired device and push an alarm message to the paired device when the sensing data exceeds a fluctuation range.

[0113] Figure 10 The following is a structural block diagram of the privacy protection system for a smartwatch according to an embodiment of the present invention. The judgment module 14 includes:

[0114] The receiving unit 141 is configured to receive feedback uploaded by the user and adjust the breathing rhythm;

[0115] The sending unit 142 is used to configure the breathing rhythm collection method and send it to the paired device.

[0116] The positioning module 11 is mainly used to complete step S100, the construction module 12 is mainly used to complete step S200, the monitoring module 13 is mainly used to complete step S300, and the judgment module 14 is mainly used to complete step S400;

[0117] The acquisition unit 111 is mainly used to complete step S101, the generation unit 112 is mainly used to complete step S102, the creation unit 113 is mainly used to complete step S103, and the embedding unit 114 is mainly used to complete step S104;

[0118] The integration unit 121 is mainly used to complete step S201, and the cancellation unit 122 is mainly used to complete step S202;

[0119] The setting unit 131 is mainly used to complete step S301, and the identification unit 132 is mainly used to complete step S302;

[0120] The receiving unit 141 is mainly used to complete step S401, and the sending unit 142 is mainly used to complete step S402.

[0121] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0123] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A privacy protection method for a smart watch, characterized in that: The method comprises: Obtain the pairing data of the smartwatch, identify the trusted device, read the stored data in the smartwatch, and divide it into sensitive data and basic data. When the smartwatch is detected to be off the wrist, locate the real-time location of the smartwatch; Constructing a usage location set and selecting a trusted location, determining whether the real-time location coincides with the trusted location, and if so, granting read access to the basic data; if not, sending a preset request window to the trusted device; When the user is detected wearing the smartwatch again, sensor data collected by the smartwatch is received, wherein the sensor data includes at least heart rate, blood oxygen and electrocardiogram data, and heart rate features are extracted; Determine whether the wearer has changed. If so, construct an activation mechanism through a pre-stored breathing rhythm, wherein the activation mechanism is: automatically unlock when the smart watch detects the breathing rhythm; if not, open the read permission of all stored data.

2. The privacy protection method for a smart watch according to claim 1, characterized in that: The steps of obtaining the pairing data of the smart watch and identifying the trusted device include: The smartwatch collects the Bluetooth signal strength of the trusted device and determines a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay; The real-time position and change trend are integrated to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan.

3. The privacy protection method of a smart watch according to claim 1, characterized in that: The steps of reading the stored data in the smart watch and dividing it into sensitive data and basic data, and locating the real-time location of the smart watch when detecting that the smart watch is off the wrist include: Create a hierarchical storage mechanism consisting of cloud and local storage, upload the basic data to the cloud, and store the sensitive data locally; Masking rules are embedded into the sensitive data.

4. The privacy protection method for a smart watch according to claim 1, wherein: The step of sending a preset request window to the trusted device includes: Integrate a yes and no button into the request window, and when the user clicks the yes button, the read permission of all stored data is opened; A time interval is embedded in the request window, and when the time interval ends, the read permission is revoked.

5. The privacy protection method of a smart watch according to claim 1, characterized in that: When the user is detected wearing the smartwatch again, the step of receiving the sensor data collected by the smartwatch includes: Setting a fluctuation range for each sensor data, receiving physiological health data uploaded by the user, and offsetting the fluctuation range; When the sensing data exceeds a fluctuation range, a paired device is identified and an alarm message is pushed to the paired device.

6. The privacy protection method for a smart watch according to claim 5, characterized in that: The step of constructing an activation mechanism via a pre-stored breathing rhythm includes: receiving feedback uploaded by the user and adjusting the breathing rhythm; A method for collecting the breathing rhythm is configured and sent to the paired device.

7. The privacy protection method for a smart watch according to claim 5, characterized in that: The method further comprises: Dividing the stored data into a plurality of partitions, wherein each wearer corresponds to a partition; The physiological characteristics of each wearer are identified through the sensing data, and a mapping between the physiological characteristics and the partitions is established.

8. A privacy protection system for a smart watch, characterized in that: The system comprises: The positioning module is used to obtain the pairing data of the smartwatch, identify trusted devices, read the stored data in the smartwatch, and divide it into sensitive data and basic data. When the smartwatch is detected to be off the wrist, the real-time location of the smartwatch is determined; A construction module is used to construct a usage location set, select a trusted location, determine whether the real-time location coincides with the trusted location, and if so, grant read access to the basic data; if not, send a preset request window to the trusted device; A monitoring module is configured to receive sensor data collected by the smartwatch after detecting that the user wears the smartwatch again, wherein the sensor data includes at least heart rate, blood oxygen and electrocardiogram data, and extract heart rate characteristics; The judgment module is used to judge whether the wearer has changed. If so, an activation mechanism is constructed through a pre-stored breathing rhythm, wherein the activation mechanism is: when the smart watch detects the breathing rhythm, it automatically unlocks; if not, the read permission of all stored data is opened.

9. The privacy protection system for a smart watch according to claim 8, characterized in that: The positioning module includes: a collecting unit, configured to collect the Bluetooth signal strength of the trusted device via the smart watch and determine a change trend, wherein the change trend includes at least: rapid increase, slow increase, rapid decay, and slow decay; a generating unit, configured to integrate the real-time position and the change trend to generate risk judgment rules, wherein each risk judgment rule corresponds to at least one disposal plan; A creation unit, configured to create a hierarchical storage mechanism consisting of a cloud and a local storage, upload the basic data to the cloud, and store the sensitive data locally; The embedding unit is used to embed mask rules into the sensitive data.

10. The privacy protection system for a smart watch according to claim 8, characterized in that: The building blocks include: An integration unit, configured to integrate a yes and no button into the request window, and when the user clicks the yes button, the read permission of all stored data is opened; The revoking unit is configured to embed a time interval into the request window, and revoke the read permission after the time interval ends.

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