Wearing tightness measuring method, device, equipment, medium and program product

Abstract

The invention relates to a wearing tightness measuring method, device and equipment, a medium and a program product. The method comprises the steps that in the inflation process of an air bag of the wearable device, inflation data of the air bag are obtained, the wearable device comprises a wearable part and a device body configured to be used for being connected with the wearable part, the wearable part is provided with the air bag, and the inflation data are used for representing the inflation speed of the air bag; and determining tightness data according to the inflation data, wherein the tightness data is used for representing the tightness of the wearing part worn on the human body measurement part. By adopting the method, the detection accuracy of the wearing tightness of the wearable equipment can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of wearable devices, and in particular to a wearing tightness measurement method, device, equipment, medium and program product. Background Art

[0002] Currently, wearable devices have become more and more common in people's daily lives. In practical applications, there is a need to detect the tightness of wearable devices.

[0003] In the related art, the tightness of wearing a wearable device is usually determined based on the position of the buckle on the wristband of the wearable device.

[0004] However, due to individual differences among different users, even if the position of the buckle on the wristband of the wearable device is the same, the tightness of the wearer's wristband may be different for different users, so the detection method of the related art has poor accuracy. Summary of the invention

[0005] Based on this, it is necessary to provide a wearing tightness measurement method, device, equipment, medium and program product that can improve the accuracy of wearing tightness detection of wearable devices in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for measuring wearing tightness, the method comprising:

[0007] During the process of inflating an airbag of a wearable device, inflation data of the airbag is obtained, wherein the wearable device includes a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with the airbag, and the inflation data is used to characterize the speed of inflation of the airbag; tightness data is determined based on the inflation data, and the tightness data is used to characterize the tightness of the wearable portion when worn on a measured part of a human body.

[0008] In a second aspect, the present application also provides a wearing tightness measuring device, the device comprising:

[0009] an acquisition module, configured to acquire inflation data of the airbag during the inflation process of the airbag of the wearable device, wherein the wearable device comprises a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with the airbag, and the inflation data is used to characterize the speed of inflation of the airbag;

[0010] A determination module is used to determine tightness data according to the inflation data, wherein the tightness data is used to characterize the tightness of the wearable part when worn on a measured part of a human body.

[0011] In a third aspect, the present application further provides a blood pressure measurement device, comprising a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion comprising a first air bag and a second front bag, and the device body comprising a processor;

[0012] The first airbag is configured to be inflated to fit a measuring part of a human body to measure blood pressure, and the second airbag is configured to compress the first airbag and the measuring part of a human body by inflation;

[0013] The processor is configured to obtain inflation data of the first airbag during the inflation of the first airbag, wherein the inflation data is used to indicate the speed of inflation of the first airbag;

[0014] The processor is configured to determine tightness data according to the inflation data, wherein the tightness data is used to characterize the tightness of the wearable part when worn on the measuring part of the human body.

[0015] In a fourth aspect, the present application further provides a wearable device, the wearable device comprising a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion being provided with an airbag, and the device body comprising a processor;

[0016] The processor is configured to obtain inflation data of the airbag during the inflation process of the airbag, wherein the inflation data is used to characterize the speed of inflation of the airbag; determine tightness data based on the inflation data, and the tightness data is used to characterize the tightness of the wearable part when worn on a measured part of the human body.

[0017] In a fifth aspect, the present application further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps described in the first aspect are implemented.

[0018] In a sixth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps described in the first aspect are implemented.

[0019] The wearing tightness measurement method, device, equipment, medium and program product obtain the inflation data of the airbag during the inflation process of the airbag of the wearable device, and determine the tightness data according to the inflation data of the airbag, wherein the wearable device includes a wearable part and a device body configured to be connected to the wearable part, the wearable part is provided with the airbag, the inflation data is used to characterize the speed of the airbag inflation, and the tightness data is used to characterize the tightness of the wearable part worn on the measuring part of the human body. Since the airbag is provided on the wearable part, and the wearable part is worn on the measuring part of the human body, the airbag is bound to be inflated when it is inflated. Compression is caused to the measuring part of the human body, and the compression situation is related to the tightness of the wearable part worn on the measuring part of the human body. At the same time, the compression will also affect the speed of inflation of the airbag. Therefore, the speed of inflation of the airbag can indirectly reflect the tightness of the wearable part worn on the measuring part of the human body. The embodiment of the present application is based on this principle and uses the speed of inflation of the airbag to determine the tightness of the wearable part worn on the measuring part of the human body. Compared with the method of determining the tightness of wearing the wearable device according to the position of the buckle on the wristband of the wearable device, this method can adapt to the individual differences of different users. Therefore, its detection accuracy is higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a schematic diagram of the structure of a wearable device in an embodiment;

[0021] Figure 2 A schematic diagram of a flow chart of a wearing tightness measurement method in one embodiment;

[0022] Figure 3 It is a schematic diagram of an optional process of obtaining inflation data of an airbag in one embodiment;

[0023] Figure 4 It is a structural block diagram of a wearing tightness measuring device in one embodiment;

[0024] Figure 5 It is a structural block diagram of another wearing tightness measuring device in one embodiment;

[0025] Figure 6 is a schematic diagram of the structure of a wearable device in an embodiment;

[0026] Figure 7 FIG. 4 is a schematic diagram of the structure of a blood pressure measuring device in one embodiment. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] Currently, wearable devices have become more and more common in people's daily lives. Many wearable devices can measure physiological parameters such as blood pressure, blood oxygen saturation, and heart rate. However, in order to ensure the accuracy of wearable devices in measuring physiological parameters, users are generally required to wear wearable devices according to the recommended wearing tightness.

[0029] However, due to the differences in individual physiology and subjectivity among different users, most users do not wear wearable devices according to the recommended wearing tightness, which leads to inaccurate measurement of physiological parameters. In order to ensure the accuracy of physiological parameter measurement, it is generally necessary to measure the wearing tightness of wearable devices.

[0030] In the related art, the tightness of wearing a wearable device is usually determined based on the position of the buckle on the wristband of the wearable device.

[0031] However, due to individual differences among different users, for example, some users are plump, some users are thin, some users have larger bone sizes, and some users have smaller bone sizes, etc., therefore, when the position of the buckle on the wristband of the wearable device is the same, the tightness of the wearer may be different for different users, so the detection method of the related technology has poor accuracy.

[0032] In view of this, an embodiment of the present application provides a wearing tightness measurement method, which aims to improve the accuracy of wearing tightness measurement of a wearable device.

[0033] The wearing tightness measurement method provided in the embodiment of the present application can be applied to Figure 1 In the wearable device shown, Figure 1 As shown, the wearable device may include a wearable portion 101 and a device body 102 configured to be connected to the wearable portion 101 .

[0034] Optionally, the wearable portion 101 may include a wristband W and a buckle K, and the buckle K may be used to fix the wristband W so that the wristband W forms a ring and is worn on a measuring part of the human body such as the wrist, ankle, head, etc. An airbag Q may be provided in the wearable portion 101. For example, the airbag Q may be provided inside the wristband W, or provided on a side of the wristband W close to the human body when the wristband W is worn on the human body, and the airbag Q may be inflated and deflated.

[0035] Optionally, the device body 102 may include multiple devices to achieve multiple functions. For example, the device body 102 may include a display screen to achieve a display function, the device body 102 may include a processor to achieve a processing control function, the device body 102 may include a memory to achieve a storage function for data, programs, and operating systems, the device body 102 may include a sensor to achieve a measurement function, the device body 102 may include an inflation part to achieve a function of inflating the airbag Q, and the device body 102 may include a communication device to achieve a function of communicating with other electronic devices. The embodiments of the present application do not specifically limit the devices set in the device body 102, nor do they specifically limit the functions that can be achieved by the device body 102.

[0036] In one embodiment, Figure 2 As shown, a wearing tightness measurement method is provided, which can be applied to Figure 1 In the wearable device, the following steps are included:

[0037] Step 201: During the process of inflating the airbag of the wearable device, obtain inflation data of the airbag.

[0038] In an optional embodiment of the present application, the wearable device may be provided with an inflation portion, which is configured to inflate the airbag. Optionally, the inflation portion may be provided in a device body of the wearable device.

[0039] In a possible implementation, a hardware switch may be provided in the wearable device, and when the hardware switch is triggered, the inflation unit starts to work to inflate the airbag.

[0040] In another possible implementation, a touch screen is provided in the device body, and the touch screen can provide a virtual inflation control. When the virtual inflation control is triggered, the inflation unit starts to work to inflate the airbag.

[0041] In an optional embodiment of the present application, the inflation unit can inflate the airbag according to a fixed working parameter to eliminate the influence of the working mode of the inflation unit on the inflation speed of the airbag.

[0042] In an optional embodiment of the present application, a sensor may be provided in the wearable device, which can collect sensor data during the airbag inflation process, and the inflation data of the airbag can be obtained based on the sensor data, wherein the inflation data is used to characterize the speed of the airbag inflation.

[0043] In an optional embodiment of the present application, the wearable portion of the wearable device may be provided with a plurality of airbags, and in step 201, inflation data of one of the plurality of airbags may be obtained.

[0044] In an optional embodiment of the present application, the inflation data can characterize the speed of inflation of the airbag at different inflation moments. For example, the inflation data can represent the inflation speed of the airbag at three different inflation moments t1, t2 and t3. In this way, the inflation data can reflect the overall inflation speed of the airbag within a period of time (including different inflation moments), making the inflation data more comprehensive. Therefore, it can also ensure that the wearing tightness determined based on the inflation data is more accurate.

[0045] Step 202: Determine tightness data according to the inflation data.

[0046] Since the airbag is arranged on the wearable part, and the wearable part is worn on the measuring part of the human body, the airbag will inevitably cause compression to the measuring part of the human body during inflation. Conversely, the airbag will inevitably be reversely compressed by the measuring part of the human body during inflation, and the compression of the airbag by the measuring part of the human body is related to the tightness of the wearable part worn on the measuring part of the human body. At the same time, the inflation speed of the airbag will be affected by the compression of the measuring part of the human body. Therefore, the inflation speed of the airbag is indirectly related to the tightness of the wearable part worn on the measuring part of the human body. Based on this, in step 202, the tightness data can be determined according to the inflation data, wherein the tightness data is used to characterize the tightness of the wearable part worn on the measuring part of the human body.

[0047] Specifically, before the airbag is inflated, the volume of the airbag is small. At this time, there is a gap between the airbag and the measuring part of the human body (the size of the gap is related to the tightness of the wearing part on the measuring part of the human body). During the inflation of the airbag, the volume of the airbag gradually increases, and the gap between the airbag and the measuring part of the human body gradually decreases. When the airbag is inflated to a certain extent, the airbag and the measuring part of the human body will fit each other. If the airbag continues to be inflated, the airbag will compress the measuring part of the human body. At this time, the airbag will also be subjected to the reverse pressure of the measuring part of the human body. Since the airbag is subjected to external pressure, the inflation speed of the airbag will slow down.

[0048] According to the above analysis, when there is still a gap between the airbag and the measured part of the human body, the airbag is not compressed by the measured part of the human body. At this time, the inflation speed of the airbag is relatively constant. After the airbag and the measured part of the human body are fitted together, the airbag is compressed by the measured part of the human body. At this time, the inflation speed of the airbag will slow down. Based on this inflation process, the inflation data can be used to infer the size of the gap between the airbag and the measured part of the human body, thereby determining the tightness of the wearable part worn on the measured part of the human body.

[0049] In an optional embodiment of the present application, the tightness data may be tightness level data. Optionally, the tightness of the wearable part worn on the measured part of the human body may be divided into 6 levels, wherein levels 1 and 2 represent loose wearing, level 3 represents moderate wearing, and levels 4 and 5 represent tight wearing. The tightness data determined according to the inflation data may be one of the 6 levels.

[0050] In an optional embodiment of the present application, the working parameters of the inflation part can also be considered when determining the tightness data. In other words, the tightness data can be determined based on the inflation data and the working parameters of the inflation part. In this way, the determined tightness data also considers the influence of the inflation part, making the determined tightness data more accurate.

[0051] In the above-mentioned wearing tightness measurement method, during the process of inflating the airbag of the wearable device, the inflation data of the airbag is obtained, and the tightness data is determined according to the inflation data of the airbag, wherein the wearable device includes a wearable part and a device body configured to be connected to the wearable part, and the wearable part is provided with the above-mentioned airbag, the inflation data is used to characterize the speed of inflation of the airbag, and the tightness data is used to characterize the tightness of the wearable part worn on the measuring part of the human body. Since the airbag is provided on the wearable part, and the wearable part is worn on the measuring part of the human body, therefore, when the airbag is inflated, it is inevitable that the measuring part of the human body will be affected. Compression is caused, and the compression situation is related to the tightness of the wearable part worn on the measured part of the human body. At the same time, compression will also affect the speed of airbag inflation. Therefore, the speed of airbag inflation can indirectly reflect the tightness of the wearable part worn on the measured part of the human body. The embodiment of the present application is based on this principle and uses the speed of airbag inflation to determine the tightness of the wearable part worn on the measured part of the human body. Compared with the method of determining the tightness of the wearable device according to the position of the buckle on the wristband of the wearable device, this method can adapt to the individual differences of different users. Therefore, its detection accuracy is higher.

[0052] The embodiment of the present application provides an optional technical process for obtaining inflation data of an airbag, such as Figure 3 As shown, the technical process includes the following steps:

[0053] Step 301: During the inflation of the airbag, the pressure of the gas in the airbag is measured at intervals of a first preset time to obtain a pressure value sequence including a plurality of pressure values.

[0054] In an optional embodiment of the present application, a pressure sensor may be provided in the wearable device. The pressure sensor may be provided inside the airbag or in the air path for inflating the airbag. The pressure sensor may be used to measure the pressure of the gas in the airbag at intervals of a first preset time during the inflation of the airbag. That is, the pressure of the gas in the airbag may be measured at different inflation times, thereby obtaining a pressure value sequence including multiple pressure values.

[0055] It should be noted that the first preset time length can be set by a technician. For example, the first preset time length can be 1s or 0.5s. The embodiment of the present application does not limit the first preset time length.

[0056] Step 302: Acquire inflation data of the airbag according to the pressure value sequence.

[0057] In a possible implementation, the wearable device may directly use the pressure value sequence as the inflation data of the airbag.

[0058] In another possible implementation, the wearable device can convert one or more pressure values ​​in the pressure value sequence to obtain corresponding one or more airbag inflation speed values, and the wearable device can use the speed value sequence including the one or more airbag inflation speed values ​​as the inflation data of the airbag.

[0059] In an optional embodiment of the present application, the inflation data of the airbag can be obtained in the early stage of airbag inflation, wherein the early stage is the inflation stage from the start of airbag inflation to the time when the airbag inflation duration reaches a second preset time duration, or the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the airbag inflation duration reaches a third preset time duration.

[0060] For example, the early stage may be the inflation stage from when the airbag starts to inflate to when the inflation time of the airbag reaches 5 seconds, or the early stage may be the inflation stage from 1 second after the airbag starts to inflate to when the inflation time of the airbag reaches 5 seconds.

[0061] It should be noted that the second preset duration and the third preset duration may be equal or unequal, and the embodiment of the present application does not specifically limit this. In an optional embodiment of the present application, the second preset duration and the third preset duration may be pre-set by a technician, for example, the second preset duration and the third preset duration may both be 5s, and the embodiment of the present application does not specifically limit the second preset duration and the third preset duration.

[0062] In an optional embodiment of the present application, the duration of the early stage is between 2s and 10s. It should be noted that the 2s to 10s referred to in the embodiment of the present application includes two endpoints of 2s and 10s. Optionally, the duration of the early stage can be, for example, 5s.

[0063] In an optional embodiment of the present application, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the aforementioned stage is from the start of inflation to when inflation reaches 5 seconds.

[0064] In practical applications, the early stage of airbag inflation includes the stage when there is a gap between the airbag and the human body, the stage when the airbag fits the human body, and the stage when the airbag is compressed by the human body. Therefore, the inflation data in the early stage of airbag inflation can be used to infer the size of the gap between the airbag and the human body, that is, to infer the tightness of wearing, thereby ensuring the accuracy of the obtained tightness data. At the same time, only using the inflation data in the early stage of airbag inflation to determine the tightness data can reduce the amount of calculation and improve calculation efficiency.

[0065] The present application embodiment provides two optional methods for determining tightness data based on inflation data. Among them:

[0066] The first method is: inputting the inflation data into a preset tightness recognition model, and determining the tightness data according to the output of the tightness recognition model.

[0067] In an optional embodiment of the present application, the tightness recognition model may be a machine learning model, for example, the tightness recognition model may be an artificial neural network model or a decision tree, support vector machine or other model, and the present application does not limit the specific type of the recognition mode. The tightness recognition model may be obtained by training a plurality of training samples, wherein the training samples may include training inflation data of the wearable device and a label corresponding to the training inflation data, and the label may be training tightness data.

[0068] The second method is: fitting the inflation data based on a preset fitting algorithm to obtain tightness data.

[0069] In an optional embodiment of the present application, the preset fitting algorithm may include a linear fitting algorithm, a polynomial fitting algorithm, an exponential fitting algorithm, etc. The present application does not limit the specific type of the fitting algorithm.

[0070] In an optional embodiment of the present application, the wearable device may include a memory and a processor, which may be arranged in the device body, and the inflation data and the tightness identification model, or the inflation data and the operation program corresponding to the fitting algorithm are stored in the memory, and the processor may perform operations based on the inflation data and the tightness identification model stored in the memory, or the inflation data and the operation program corresponding to the fitting algorithm stored in the memory to obtain the tightness data.

[0071] In an optional embodiment of the present application, after determining the tightness data, the following three optional steps may be performed. Among them:

[0072] The first method is to correct the initial detection data measured by the device body according to the tightness data to obtain and output the target detection data.

[0073] In an optional embodiment of the present application, the wearable device may be a device having a function of measuring human physiological parameters. For example, the wearable device may measure blood pressure, heart rate, etc. Since the accuracy of the wearable device's measurement of human physiological parameters is affected by the tightness of wearing, in an optional embodiment of the present application, after determining the tightness data, the wearable device may correct the initial detection data measured by the device body based on the tightness data to obtain and output target detection data, wherein both the initial detection data and the target detection data may be human physiological parameters. For example, both the initial detection data and the target detection data may be blood pressure values.

[0074] Taking the wearable device as a wearable blood pressure monitor as an example, generally, the wearable blood pressure monitor itself includes an air bag. During the process of measuring blood pressure, the air bag is inflated so that the air bag compresses the artery. The pulse beat of the artery can be reflected in the pressure change of the gas in the air bag. Therefore, the pulse beat of the artery can be obtained based on the change data of the pressure value of the gas in the air bag, and then the blood pressure value can be obtained.

[0075] The wearable blood pressure monitor can implement the wearing tightness measurement method provided in the embodiment of the present application during the blood pressure measurement process, thereby obtaining tightness data without the user feeling it during the blood pressure measurement process, and using the tightness data to correct the initially measured blood pressure value to obtain and output the target blood pressure value.

[0076] The second method is to adjust the wearing part according to the tightness data so that the tightness of the adjusted wearing part when worn on the human body meets the preset wearing requirements.

[0077] In an optional embodiment of the present application, the wearable part can automatically adjust the tightness. After the tightness data is obtained, the wearable part can be adjusted according to the tightness data so that the tightness of the wearable part after the adjustment when worn on the human body meets the preset wearing requirements.

[0078] The third method: after obtaining the tightness data, if the tightness data indicates that the wearing tightness does not meet the measurement requirements, the wearable device outputs a prompt message, which is used to prompt the user to adjust the wearing tightness.

[0079] Optionally, after obtaining the tightness data, the device body can determine, based on the tightness data, the position of the buckle in the wearable part that needs to be adjusted in order to meet the preset wearing requirements. Then, the device body can output prompt information based on the position of the buckle that needs to be adjusted to prompt the user to adjust the position of the buckle according to the prompt information.

[0080] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0081] Based on the same inventive concept, the embodiment of the present application also provides a wearing tightness measuring device for implementing the wearing tightness measuring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more wearing tightness measuring devices provided below can refer to the limitations of the wearing tightness measuring method above, and will not be repeated here.

[0082] In one embodiment, Figure 4 As shown, a wearing tightness measuring device 400 is provided, including: an acquisition module 401 and a determination module 402.

[0083] The acquisition module 401 is used to acquire the inflation data of the airbag during the inflation process of the airbag of the wearable device, wherein the wearable device includes a wearable part and a device body configured to be connected to the wearable part, the wearable part is provided with an airbag, and the inflation data is used to characterize the speed of the airbag inflation.

[0084] The determination module 402 is used to determine tightness data according to the inflation data, and the tightness data is used to represent the tightness of the wearable part when worn on the measured part of the human body.

[0085] In an optional embodiment of the present application, the acquisition module 401 is specifically used to: during the airbag inflation process, measure the pressure of the gas in the airbag every first preset time period to obtain a pressure value sequence including multiple pressure values; and obtain the inflation data of the airbag according to the pressure value sequence.

[0086] In an optional embodiment of the present application, the acquisition module 401 is specifically used to: use the pressure value sequence as the inflation data of the airbag; or, convert one or more pressure values ​​in the pressure value sequence to obtain the corresponding one or more airbag inflation speed values, and use the speed value sequence including the one or more airbag inflation speed values ​​as the inflation data of the airbag.

[0087] In an optional embodiment of the present application, the acquisition module 401 is specifically used to: acquire the inflation data of the airbag in the early stage of airbag inflation, wherein the early stage is the inflation stage from the start of airbag inflation to the time when the airbag inflation duration reaches a second preset time duration, or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the airbag inflation duration reaches a third preset time duration.

[0088] In an optional embodiment of the present application, the duration of the early stage is between 2 seconds and 10 seconds.

[0089] In an optional embodiment of the present application, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the early stage is from the start of inflation to when inflation reaches 5 seconds.

[0090] In an optional embodiment of the present application, the determination module 402 is specifically used to: input the inflation data into a preset tightness recognition model, and determine the tightness data according to the output of the tightness recognition model; or, fit the inflation data based on a preset fitting algorithm to obtain the tightness data.

[0091] Please refer to Figure 5 , which shows another wearing tightness measuring device 500 provided in an embodiment of the present application. In addition to including the various modules included in the wearing tightness measuring device 400, the wearing tightness measuring device 500 may optionally further include a correction module 403, an adjustment module 404 and a prompt module 405.

[0092] The correction module 403 is used to correct the initial detection data measured by the device body according to the tightness data to obtain and output the target detection data.

[0093] In an optional embodiment of the present application, the initial detection data and the target detection data are both blood pressure values.

[0094] The adjustment module 404 is used to adjust the wearable part according to the tightness data so that the tightness of the wearable part after the adjustment when worn on the human body meets the preset wearing requirements.

[0095] The prompt module 405 is used to output a prompt message if the tightness data indicates that the wearing tightness does not meet the measurement requirements, and the prompt message is used to prompt the user to adjust the wearing tightness.

[0096] Each module in the above-mentioned wearing tightness measurement device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the wearable device in the form of hardware, or can be stored in the memory in the wearable device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0097] Please refer to Figure 6 , which shows a wearable device provided by an embodiment of the present application, such as Figure 6 As shown, the wearable device includes a wearable portion 601 and a device body 602 configured to be connected to the wearable portion 601, wherein the wearable portion 601 is provided with an airbag 6011, and the device body 602 includes a processor 6021.

[0098] Among them, the processor 6021 is used to obtain the inflation data of the airbag 6011 during the inflation process of the airbag 6011, wherein the inflation data is used to characterize the speed of inflation of the airbag 6011; determine the tightness data based on the inflation data, and the tightness data is used to characterize the tightness of the wearable part 601 worn on the measured part of the human body.

[0099] Please continue to refer to Figure 6 ,like Figure 6 As shown, in an optional embodiment of the present application, the device body 602 also includes an inflation portion 6022 , which is connected to the airbag 6011 and is configured to inflate the airbag 6011 .

[0100] Please continue to refer to Figure 6 ,like Figure 6 As shown, in an optional embodiment of the present application, the inflation part 6022 may include an air pump B1 and an air path LA connecting the air pump B1 and the airbag 6011. The air pump B1 is configured to inflate the airbag 6011 through the air path LA.

[0101] Please continue to refer to Figure 6 ,like Figure 6As shown, in an optional embodiment of the present application, the device body 602 also includes an air pressure sensor 6023 connected to the processor 6021.

[0102] Among them, the air pressure sensor 6023 is configured to measure the pressure of the gas in the airbag at intervals of a first preset time period during the inflation of the airbag 6011 to obtain a pressure value sequence including multiple pressure values, and the processor 6021 is specifically configured to obtain the inflation data of the airbag according to the pressure value sequence.

[0103] In an optional embodiment of the present application, the processor 6021 is specifically configured to: use the pressure value sequence as the inflation data of the airbag; or, convert one or more pressure values ​​in the pressure value sequence to obtain the corresponding one or more airbag inflation speed values, and use the speed value sequence including the one or more airbag inflation speed values ​​as the inflation data of the airbag.

[0104] In an optional embodiment of the present application, the processor 6021 is specifically configured to: obtain the inflation data of the airbag in the early stage of airbag inflation, wherein the early stage is the inflation stage from the start of airbag inflation to the time when the airbag inflation duration reaches a second preset time duration, or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the airbag inflation duration reaches a third preset time duration.

[0105] In an optional embodiment of the present application, the duration of the early stage is between 2 seconds and 10 seconds.

[0106] In an optional embodiment of the present application, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the early stage is from the start of inflation to when inflation reaches 5 seconds.

[0107] In an optional embodiment of the present application, the processor 6021 is specifically configured to: input the inflation data into a preset tightness identification model, and determine the tightness data based on the output of the tightness identification model; or, perform fitting processing on the inflation data based on a preset fitting algorithm to obtain the tightness data.

[0108] In an optional embodiment of the present application, the processor 6021 is further configured to: determine initial detection data, and perform correction processing on the initial detection data according to the tightness data to obtain and output target detection data.

[0109] In an optional embodiment of the present application, the wearable part 601 also includes a buckle and a buckle position adjustment device connected to the buckle and the processor respectively, and the processor 6021 is further configured to: output a control instruction to the buckle position adjustment device according to the tightness data, and the buckle position adjustment device is used to adjust the position of the buckle according to the control instruction so that the tightness of the wearable part worn on the human body after the adjustment meets the preset wearing requirements.

[0110] In an optional embodiment of the present application, the processor 6021 is further configured to: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, output a prompt message, wherein the prompt message is used to prompt the user to adjust the wearing tightness.

[0111] Please refer to Figure 7 , which shows a blood pressure measuring device provided in an embodiment of the present application, the blood pressure measuring device is a kind of wearable device, such as Figure 7 As shown, the blood pressure measurement device includes a wearable portion 701 and a device body 702 configured to be connected to the wearable portion 701, wherein the wearable portion 701 is provided with a first airbag 7011 and a second airbag 7012, and the device body 702 includes a processor 7021.

[0112] The first airbag 7011 is configured to measure blood pressure by being inflated and fitted to a measuring part of a human body, and the second airbag 7012 is configured to compress the first airbag 7011 and the measuring part of a human body by being inflated.

[0113] In an optional embodiment of the present application, the first airbag 7011 can be arranged on the side of the wearable portion 701 close to the human body when the wearable portion 701 is worn on the measuring part of the human body. In an optional embodiment of the present application, the first airbag 7011 can also be arranged inside the wearable portion 701.

[0114] In an optional embodiment of the present application, the second airbag 7012 can be arranged on the side of the first airbag 7011 away from the measuring part of the human body when the wearable portion 701 is worn on the measuring part of the human body, that is, when the wearable portion 701 is worn on the measuring part of the human body, the first airbag 7011 is closest to the measuring part of the human body, and the second airbag 7012 is relatively far away from the measuring part of the human body.

[0115] It should be noted that the second airbag 7012 is arranged near the first airbag 7011. For example, the second airbag 7012 and the first airbag 7011 are in contact with each other. In this way, when the second airbag 7012 is inflated, it will compress the first airbag 7011 and indirectly compress the measurement part of the human body.

[0116] In an optional embodiment of the present application, the processor 7021 is configured to obtain inflation data of the first airbag 7011 during the process of inflation of the first airbag 7011, wherein the inflation data is used to characterize the speed of inflation of the first airbag 7011, and the processor 7021 is also configured to determine tightness data based on the inflation data, and the tightness data is used to characterize the tightness of the wearable portion 701 when worn on a measured part of the human body.

[0117] Please continue to refer to Figure 7 In an optional embodiment of the present application, the device body 702 also includes an inflation portion 7022 , which is connected to the first airbag 7011 and the second airbag 7012 , and is configured to inflate the first airbag 7011 and the second airbag 7012 .

[0118] Please continue to refer to Figure 7 In an optional embodiment of the present application, the inflation portion 7022 includes an air pump B2, a first air path L1 connecting the air pump B2 and the first airbag 7011, and a second air path L2 connecting the air pump B1 and the second airbag 7012, wherein the air pump B2 is configured to inflate the first airbag 7011 through the first air path L1, and to inflate the second airbag 7012 through the second air path L2.

[0119] Please continue to refer to Figure 7 In an optional embodiment of the present application, the device body 702 also includes an air pressure sensor 7023 connected to the processor 7021.

[0120] The air pressure sensor 7023 is configured to measure the pressure of the gas in the first airbag 7011 at intervals of a first preset time during the inflation of the first airbag 7011 to obtain a pressure value sequence including a plurality of pressure values;

[0121] The processor 7021 is specifically configured to obtain inflation data of the first airbag 7011 according to the pressure value sequence.

[0122] In an optional embodiment of the present application, the processor 7021 is specifically configured to: use the pressure value sequence as inflation data of the first airbag 7011; or,

[0123] One or more pressure values ​​in the pressure value sequence are converted to obtain corresponding one or more inflation speed values, and the speed value sequence including the one or more inflation speed values ​​is used as inflation data of the first airbag 7011.

[0124] In an optional embodiment of the present application, the processor 7021 is specifically configured to: obtain inflation data of the first airbag 7011 in the early stage of inflation of the first airbag 7011;

[0125] Among them, the early stage is the inflation stage from the time when the first airbag 7011 starts to be inflated to the time when the inflation time of the first airbag 7011 reaches the second preset time; or, the early stage is the inflation stage from the preset moment after the first airbag 7011 starts to be inflated to the time when the inflation time of the first airbag 7011 reaches the third preset time.

[0126] In an optional embodiment of the present application, the duration of the early stage is between 2 seconds and 10 seconds.

[0127] In an optional embodiment of the present application, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the aforementioned stage is from the start of inflation to when inflation reaches 5 seconds.

[0128] In an optional embodiment of the present application, the second airbag 7012 is configured to start inflating after the first airbag 7011 is inflated; or, the second airbag 7012 is configured to start inflating after the inflation data of the first airbag 7011 is acquired.

[0129] In actual applications, the gas capacity of the second airbag 7012 is smaller than that of the first airbag 7011, and the second airbag 7012 mainly plays an auxiliary role in the process of blood pressure measurement.

[0130] Optionally, in order to ensure the accuracy of the inflation data measurement of the first airbag 7011 and avoid the influence of the second airbag 7012 compressing the first airbag 7011 and causing the inflation data to be introduced into the second airbag 7012, the second airbag 7012 can be inflated after the inflation data of the first airbag 7011 is obtained.

[0131] Optionally, the second airbag 7012 may be inflated after the first airbag 7011 is inflated, thereby further ensuring the accuracy of the inflation data.

[0132] In an optional embodiment of the present application, the processor 7021 is specifically configured to: input the inflation data into a preset tightness recognition model, and determine the tightness data according to the output of the tightness recognition model; or,

[0133] The inflation data is fitted based on a preset fitting algorithm to obtain tightness data.

[0134] In an optional embodiment of the present application, the processor 7021 is further configured to: obtain an initial blood pressure value based on the first airbag 7011, and correct the initial blood pressure value according to the tightness data to obtain and output a target blood pressure value.

[0135] As mentioned above, the pulse beating of the arterial blood vessels at the measurement site of the human body will affect the pressure value of the gas in the first airbag 7011. The change data of the gas pressure value in the first airbag 7011 can reflect the pulse beating of the arterial blood vessels at the measurement site of the human body, and then reflect the blood pressure data. Based on this principle, the initial blood pressure value can be obtained through the change data of the gas pressure value in the first airbag 7011.

[0136] In an optional embodiment of the present application, the processor 7021 is further configured to: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, output a prompt message, and the prompt message is used to prompt the user to adjust the wearing tightness.

[0137] Optionally, the device body 702 may also include a display screen, an audio player, and the like. The processor 7021 may output prompt information to the user through the display screen, the audio player, and the like to prompt the user to adjust the wearing tightness.

[0138] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: during the process of inflating an airbag of a wearable device, inflation data of the airbag is obtained, wherein the wearable device includes a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with an airbag, and the inflation data is used to characterize the speed of inflation of the airbag; and tightness data is determined based on the inflation data, and the tightness data is used to characterize the tightness of the wearable portion when worn on a measured part of the human body.

[0139] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: during the airbag inflation process, the pressure of the gas in the airbag is measured every first preset time period to obtain a pressure value sequence including multiple pressure values; and the inflation data of the airbag is obtained according to the pressure value sequence.

[0140] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: using the pressure value sequence as the inflation data of the airbag; or, converting one or more pressure values ​​in the pressure value sequence to obtain the corresponding one or more airbag inflation speed values, and using the speed value sequence including the one or more airbag inflation speed values ​​as the inflation data of the airbag.

[0141] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: in the early stage of airbag inflation, the inflation data of the airbag is obtained, wherein the early stage is the inflation stage from the start of airbag inflation to the time when the airbag inflation duration reaches a second preset time; or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the airbag inflation duration reaches a third preset time.

[0142] In one embodiment, the duration of the early stage is between 2 seconds and 10 seconds.

[0143] In one embodiment, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the early stage is from the start of inflation to when inflation reaches 5 seconds.

[0144] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: inputting the inflation data into a preset tightness identification model, and determining the tightness data based on the output of the tightness identification model; or, fitting the inflation data based on a preset fitting algorithm to obtain the tightness data.

[0145] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the initial detection data measured by the device body is corrected according to the tightness data to obtain and output the target detection data.

[0146] In one embodiment, the initial detection data and the target detection data are both blood pressure values.

[0147] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the wearable part is adjusted according to the tightness data so that the tightness of the wearable part after the adjustment when worn on the human body meets the preset wearing requirements.

[0148] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, a prompt message is output, and the prompt message is used to prompt the user to adjust the wearing tightness.

[0149] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0150] During the process of inflating an airbag of a wearable device, inflation data of the airbag is obtained, wherein the wearable device includes a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with an airbag, and the inflation data is used to characterize the speed of inflation of the airbag; tightness data is determined based on the inflation data, and the tightness data is used to characterize the tightness of the wearable portion when worn on a measured part of the human body.

[0151] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: during the airbag inflation process, the pressure of the gas in the airbag is measured every first preset time period to obtain a pressure value sequence including multiple pressure values; and the inflation data of the airbag is obtained according to the pressure value sequence.

[0152] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: using the pressure value sequence as the inflation data of the airbag; or, converting one or more pressure values ​​in the pressure value sequence to obtain the corresponding one or more airbag inflation speed values, and using the speed value sequence including the one or more airbag inflation speed values ​​as the inflation data of the airbag.

[0153] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: in the early stage of airbag inflation, the inflation data of the airbag is obtained, wherein the early stage is the inflation stage from the start of airbag inflation to the time when the airbag inflation duration reaches a second preset time; or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the airbag inflation duration reaches a third preset time.

[0154] In one embodiment, the duration of the early stage is between 2 seconds and 10 seconds.

[0155] In one embodiment, the end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the early stage is from the start of inflation to when inflation reaches 5 seconds.

[0156] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: inputting the inflation data into a preset tightness identification model, and determining the tightness data based on the output of the tightness identification model; or, fitting the inflation data based on a preset fitting algorithm to obtain the tightness data.

[0157] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the initial detection data measured by the device body is corrected according to the tightness data to obtain and output the target detection data.

[0158] In one embodiment, the initial detection data and the target detection data are both blood pressure values.

[0159] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the wearable part is adjusted according to the tightness data so that the tightness of the wearable part after the adjustment when worn on the human body meets the preset wearing requirements.

[0160] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, a prompt message is output, and the prompt message is used to prompt the user to adjust the wearing tightness.

[0161] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0162] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0163] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above 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.

[0164] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for measuring wearing tightness, characterized in that: The method comprises: During the process of inflating an airbag of a wearable device, inflation data of the airbag is obtained, wherein the wearable device includes a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with the airbag, and the inflation data is used to characterize the speed of inflation of the airbag; The tightness data is determined according to the inflation data, and the tightness data is used to characterize the tightness of the wearable part when worn on a measured part of the human body.

2. The method according to claim 1, characterized in that The step of obtaining inflation data of the airbag during inflation of the wearable device includes: During the inflation of the airbag, the pressure of the gas in the airbag is measured at intervals of a first preset time to obtain a pressure value sequence including a plurality of pressure values; The inflation data of the airbag is acquired according to the pressure value sequence.

3. The method according to claim 2, characterized in that The step of acquiring the inflation data of the airbag according to the pressure value sequence includes: Using the pressure value sequence as inflation data of the airbag; or, One or more pressure values ​​in the pressure value sequence are converted to obtain corresponding one or more inflation speed values, and the speed value sequence including the one or more inflation speed values ​​is used as inflation data of the airbag.

4. The method according to any one of claims 1 to 3, characterized in that: The step of obtaining inflation data of the airbag during inflation of the wearable device includes: In the early stage of the airbag inflation, obtaining inflation data of the airbag; Among them, the early stage is the inflation stage from the start of inflation of the airbag to the time when the inflation duration of the airbag reaches a second preset time; or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the inflation duration of the airbag reaches a third preset time.

5. The method according to claim 4, characterized in that The duration of the early stage is between 2 seconds and 10 seconds.

6. The method according to claim 4, characterized in that The end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the early stage is from the start of inflation to the time when inflation reaches 5 seconds.

7. The method according to any one of claims 1 to 3, characterized in that: The determining of tightness data according to the inflation data comprises: Inputting the inflation data into a preset tightness recognition model, and determining the tightness data according to an output of the tightness recognition model; or, The inflation data is fitted based on a preset fitting algorithm to obtain the tightness data.

8. The method according to any one of claims 1 to 3, characterized in that: After determining the tightness data according to the inflation data, the method further includes: The initial detection data measured by the device body is corrected according to the tightness data to obtain and output target detection data.

9. The method according to claim 8, characterized in that The initial detection data and the target detection data are both blood pressure values.

10. The method according to any one of claims 1 to 3, characterized in that: After determining the tightness data according to the inflation data, the method further includes: If the tightness data indicates that the wearing tightness does not meet the measurement requirements, a prompt message is output, where the prompt message is used to prompt the user to adjust the wearing tightness.

11. A wearing tightness measuring device, characterized in that: The device comprises: an acquisition module, configured to acquire inflation data of the airbag during the inflation process of the airbag of the wearable device, wherein the wearable device comprises a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with the airbag, and the inflation data is used to characterize the speed of inflation of the airbag; A determination module is used to determine tightness data according to the inflation data, wherein the tightness data is used to characterize the tightness of the wearable part when worn on a measured part of a human body.

12. A blood pressure measuring device, characterized in that: The device comprises a wearable part and a device body configured to be connected to the wearable part, the wearable part comprises a first air bag and a second front bag, and the device body comprises a processor; The first airbag is configured to be inflated to fit a measuring part of a human body to measure blood pressure, and the second airbag is configured to compress the first airbag and the measuring part of a human body by inflating; The processor is configured to obtain inflation data of the first airbag during the inflation of the first airbag, wherein the inflation data is used to indicate the speed of inflation of the first airbag; The processor is configured to determine tightness data according to the inflation data, wherein the tightness data is used to characterize the tightness of the wearable portion when worn on the measured part of the human body.

13. The blood pressure measuring device according to claim 12, characterized in that: The device body further includes an inflation portion, which is connected to the first airbag and the second airbag and is configured to inflate the first airbag and the second airbag.

14. The blood pressure measuring device according to claim 13, characterized in that: The inflation unit includes an air pump, a first air path connecting the air pump and the first airbag, and a second air path connecting the air pump and the second airbag; The air pump is configured to inflate the first airbag through the first air path and to inflate the second airbag through the second air path.

15. The blood pressure measuring device according to claim 12, characterized in that: The device body also includes an air pressure sensor connected to the processor; The air pressure sensor is configured to measure the pressure of the gas in the first airbag at intervals of a first preset time during the inflation of the first airbag to obtain a pressure value sequence including a plurality of pressure values; The processor is specifically configured to obtain inflation data of the first airbag according to the pressure value sequence.

16. The blood pressure measuring device according to claim 15, characterized in that: The processor is specifically configured to: use the pressure value sequence as inflation data of the first airbag; or One or more pressure values ​​in the pressure value sequence are converted to obtain corresponding one or more inflation speed values, and the speed value sequence including the one or more inflation speed values ​​is used as inflation data of the first airbag.

17. The blood pressure measuring device according to any one of claims 12 to 16, characterized in that: The processor is specifically configured to: obtain inflation data of the first airbag in an early stage of inflation of the first airbag; Among them, the early stage is the inflation stage from the time when the first airbag starts to inflate to the time when the inflation duration of the first airbag reaches a second preset time duration; or, the early stage is the inflation stage from the preset moment after the first airbag starts to inflate to the time when the inflation duration of the first airbag reaches a third preset time duration.

18. The blood pressure measuring device according to claim 17, characterized in that: The duration of the early stage is between 2 seconds and 10 seconds.

19. The blood pressure measuring device according to claim 17, characterized in that: The end time of the early stage is less than or equal to 10 seconds after the start of inflation; and / or, the aforementioned stage is from the start of inflation to the time when inflation reaches 5 seconds.

20. The blood pressure measuring device according to any one of claims 12 to 16, characterized in that: The second airbag is configured to start inflating after the first airbag is inflated; or, The second airbag is configured to start inflating after acquiring the inflation data of the first airbag.

21. The blood pressure measuring device according to any one of claims 12 to 16, characterized in that: The processor is specifically configured to: input the inflation data into a preset tightness recognition model, and determine the tightness data according to an output of the tightness recognition model; or, The inflation data is fitted based on a preset fitting algorithm to obtain the tightness data.

22. The blood pressure measuring device according to any one of claims 12 to 16, characterized in that: The processor is further configured to obtain an initial blood pressure value based on the first airbag, and to correct the initial blood pressure value according to the tightness data to obtain and output a target blood pressure value.

23. The blood pressure measuring device according to any one of claims 12 to 16, characterized in that: The processor is further configured to: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, output a prompt message, wherein the prompt message is used to prompt the user to adjust the wearing tightness.

24. A wearable device, characterized in that: The wearable device includes a wearable portion and a device body configured to be connected to the wearable portion, the wearable portion is provided with an airbag, and the device body includes a processor; The processor is configured to obtain inflation data of the airbag during the inflation process of the airbag, wherein the inflation data is used to characterize the speed of inflation of the airbag; determine tightness data based on the inflation data, and the tightness data is used to characterize the tightness of the wearable part when worn on a measured part of the human body.

25. The wearable device according to claim 24, characterized in that: The device body also includes an inflation portion, which is connected to the airbag and is configured to inflate the airbag.

26. The wearable device according to claim 25, characterized in that The inflation unit includes an air pump and an air path connecting the air pump and the airbag; The air pump is configured to inflate the airbag through the air path.

27. The wearable device according to any one of claims 24 to 26, characterized in that: The processor is specifically configured to: obtain inflation data of the airbag in the early stage of inflation of the airbag; Among them, the early stage is the inflation stage from the start of inflation of the airbag to the time when the inflation duration of the airbag reaches a second preset time; or, the early stage is the inflation stage from the preset moment after the airbag starts to inflate to the time when the inflation duration of the airbag reaches a third preset time.

28. The wearable device according to any one of claims 24 to 26, characterized in that: The processor is further configured to: determine initial detection data, and perform correction processing on the initial detection data according to the tightness data to obtain and output target detection data.

29. The wearable device according to any one of claims 24 to 26, characterized in that: The processor is further configured to: if the tightness data indicates that the wearing tightness does not meet the measurement requirements, output a prompt message, wherein the prompt message is used to prompt the user to adjust the wearing tightness.

30. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

31. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.

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