Wearable device wearing comfort test method and electronic device

Abstract

The present application is applicable to the technical field of wearable devices, and provides a wearing comfort test method and electronic device for wearable devices, the method comprising: in the process of performing a baseline test on a wearable device to be tested worn by a test subject in a preset wearing scenario, obtaining baseline data collected by at least one temperature and humidity sensor arranged at the wearing position of the wearable device to be tested at a preset acquisition frequency; in the process of performing a formal test, obtaining test data collected by each temperature and humidity sensor at a preset acquisition frequency; and determining the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario based on the difference between the test data and the baseline data. Thus, by conducting an objective quantitative test on the wearing comfort of the wearable device to be tested, the influence of subjective feelings on the test results is avoided, and repeated verification can be performed, thereby improving the test accuracy of the wearing comfort of the wearable device.

Description

Technical Field

[0001] The present application belongs to the technical field of wearable devices, and in particular, relates to a wearing comfort testing method of a wearable device, an electronic device, a chip system, a computer-readable storage medium, and a computer program product. Background Art

[0002] In the field of wearable devices, the material and design of the wearable parts (such as the strap of a watch, the contact area between the earphone and the ear, etc.) will directly affect the user's wearing experience. Taking smart watches as an example, the material and design of the strap will directly affect the user's wearing experience. Different straps will have different effects on the micro-environment temperature and humidity of the wrist, which in turn affects the user's wearing comfort and health. For example, strenuous exercise by the user will cause discomfort due to hot and sweaty wrists, or allergic reactions due to sweating or strap materials. Therefore, in order to ensure the wearing comfort of smart watches, it is usually necessary to test the comfort of straps of different materials during the product development stage.

[0003] In the related art, when testing the wearing comfort of wearable devices, the wearing comfort of the wearable devices is evaluated based on the testers' subjective wearing feelings after the testers wear the wearable devices. However, this subjective testing method is difficult to verify repeatedly due to the large differences in individual feelings, so the test accuracy is low. Summary of the invention

[0004] The embodiments of the present application provide a wearing comfort test method for a wearable device, an electronic device, a chip system, a computer-readable storage medium, and a computer program product, which can solve the problem that the subjective test method for wearable devices is difficult to repeat and verify due to large differences in individual perceptions, and has low test accuracy.

[0005] In the first aspect, an embodiment of the present application provides a wearing comfort test method for a wearable device, comprising: in a process of performing a baseline test on a wearable device to be tested worn by a test subject in a preset wearing scenario, obtaining baseline data collected by at least one temperature and humidity sensor at a preset acquisition frequency, wherein each temperature and humidity sensor is arranged at the wearing position of the wearable device to be tested, and the baseline data includes K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, and K is an integer greater than 1; in a process of performing a formal test on the wearable device to be tested in a preset wearing scenario, obtaining test data collected by each temperature and humidity sensor at a preset acquisition frequency, wherein the test data includes L test temperatures and L test humidity collected by each temperature and humidity sensor, the test duration of the formal test is greater than the test duration of the baseline test, and L is an integer greater than K; according to the difference between the test data and the baseline data, determining the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario.

[0006] In this way, by arranging temperature and humidity sensors at the wearing position of the wearable device of the test object to collect temperature and humidity data of the wearing position during the wearing process of the wearable device, and firstly performing a short baseline test on the wearable device to be tested in the preset wearing scenario to collect baseline data collected by each temperature and humidity sensor, and then performing a longer formal test on the wearable device to be tested in the preset wearing scenario to collect test data collected by each temperature and humidity sensor, and then measuring the change in wearing comfort of the wearable device to be tested in the preset wearing scenario according to the difference between the test data and the baseline data, and then determining the temperature and humidity comfort indicators corresponding to the wearable device to be tested in the preset wearing scenario. Therefore, by collecting temperature and humidity data of the wearing position through the temperature and humidity sensor while the test subject wears the wearable device to be tested, and then determining the temperature and humidity comfort index of the wearable device to be tested according to the temperature and humidity changes at the wearing position during the wearing process, the wearing comfort of the wearable device to be tested can be objectively measured through the temperature and humidity comfort index, thereby objectively and quantitatively testing the wearing comfort of the wearable device to be tested, thereby avoiding the influence of the subjective feelings of the test subject on the test results, and repeatedly verifying the same device, thereby improving the test accuracy of the wearing comfort of the wearable device.

[0007] In a possible implementation of the first aspect, the test duration of the formal test is M times the test duration of the baseline test, where M is an integer greater than 1; accordingly, the temperature and humidity comfort index corresponding to the wearable device to be tested in a preset wearing scenario is determined based on the difference between the test data and the baseline data, including:

[0008] Divide the test duration of the formal test into M test periods;

[0009] The temperature and humidity comfort index is determined based on the difference between the test data obtained in each test period and the baseline data.

[0010] In this way, by first performing a short baseline test on the wearable device to be tested to obtain baseline data that can characterize the temperature and humidity of the wearable device to be tested when it is just worn, the wearable device to be tested is then subjected to a longer formal test with a test duration that is an integer multiple of the baseline test, and the test data in each test period in each formal test is compared with the baseline data to determine the changes in temperature and humidity in different test periods, and the temperature and humidity comfort index is determined based on the changes in temperature and humidity in different test periods, so that the temperature and humidity comfort index finally determined can comprehensively characterize the wearing comfort of the wearable device to be tested at different wearing durations, further improving the accuracy of the wearing comfort test.

[0011] Optionally, in another possible implementation of the first aspect, determining the temperature and humidity comfort index according to the difference between the test data obtained in each test period and the baseline data includes:

[0012] Determine the baseline thermal sensation index and baseline humidity index corresponding to the wearable device to be tested in the preset wearing scenario according to the baseline data;

[0013] Determine the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested according to the test data obtained in the mth test period, where m is an integer greater than or equal to 1 and or equal to M;

[0014] The temperature and humidity comfort index is determined according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index.

[0015] In this way, by converting the temperature and humidity data into thermal sensation indicators and humidity indicators that can characterize the human body's perceived comfort, and based on the difference between the test thermal sensation indicators and the baseline thermal sensation indicators in each test period, and the difference between the test humidity indicators and the baseline humidity indicators in each test period, the changes in the human body's perceived comfort in each test period are determined, thereby further improving the accuracy of the wearing comfort test.

[0016] Optionally, in another possible implementation of the first aspect, determining the temperature and humidity comfort index according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index, includes:

[0017] Determine the thermal sensation change corresponding to the wearable device to be tested according to the difference between the M test thermal sensation indices and the baseline thermal sensation indices;

[0018] Determine the humidity change corresponding to the wearable device to be tested according to the difference between the M test humidity indicators and the baseline humidity indicator;

[0019] The temperature and humidity comfort index is determined based on the thermal sensation change and the humidity change.

[0020] In this way, during the wearing process of wearable devices, if the temperature and humidity at the wearing position change with the extension of wearing time, the thermal sensation and perceived humidity felt by the human body will also change, and the thermal sensation and perceived humidity felt by the human body are directly related to wearing comfort, and the change in thermal sensation and humidity in each test period can quantitatively reflect the changes in human thermal sensation and perceived humidity in the test period. Therefore, the temperature and humidity comfort index for measuring wearing comfort can be determined according to the change in thermal sensation and humidity in each test period, so that the temperature and humidity comfort index can effectively characterize the comfort conditions such as thermal sensation and perceived humidity under different wearing times, and the temperature and humidity comfort index can comprehensively evaluate the comfort under different wearing times, thereby further improving the test accuracy and reliability of wearing comfort.

[0021] Optionally, in another possible implementation of the first aspect, the number of the temperature and humidity sensors is N, where N is an integer, and the baseline data includes N×K baseline temperatures and N×K baseline humidity; accordingly, determining the baseline thermal sensation index and the baseline humidity index corresponding to the wearable device to be tested in a preset wearing scenario according to the baseline data includes:

[0022] According to the i-th baseline temperature, the i-th baseline humidity and the conversion relationship between temperature and humidity and human thermal sensation, determine the i-th baseline thermal sensation, where i is an integer greater than or equal to 1 and less than or equal to N×K;

[0023] Determine a baseline thermal sensation index according to N×K baseline thermal sensations;

[0024] A baseline humidity index is determined based on the N×K baseline humidity values.

[0025] In this way, by converting the baseline temperature and baseline humidity collected at each collection moment into a baseline thermal sensation, and determining a baseline thermal sensation index that can measure the thermal sensation during the entire baseline test process based on each baseline thermal sensation, and then determining a baseline humidity index that can measure the perceived humidity during the entire baseline test process based on the baseline humidity collected during the baseline test, and using the baseline thermal sensation index and baseline humidity index as comfort reference data when the user just wears the wearable device, to measure the changes in thermal sensation and perceived humidity in each test period during subsequent tests, so as to further improve the accuracy and reliability of the wearing comfort test.

[0026] Optionally, in another possible implementation of the first aspect, the test data obtained in the test period includes N×K test temperatures and N×K test humidity; accordingly, determining the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested according to the test data obtained in the mth test period includes:

[0027] Determine the i-th test thermal sensation in the m-th test period according to the i-th test temperature, the i-th test humidity and the conversion relationship between temperature and humidity and human thermal sensation obtained in the m-th test period;

[0028] Determine the mth test thermal sensation index according to the N×K test thermal sensations in the mth test period;

[0029] The mth test humidity index is determined according to the N×K test humidity values ​​obtained in the mth test period.

[0030] In this way, by converting the test temperatures and test humidity collected in each test period into test thermal sensations, and determining a test thermal sensation index that can measure the thermal sensation in the test period based on each test thermal sensation in the test period, and then determining a baseline humidity index that can measure the perceived humidity in the test period based on the test humidity collected in the test period, and then using the baseline thermal sensation and baseline humidity as a reference, determining the thermal sensation change and humidity change in each test period to measure the changes in thermal sensation and perceived humidity in each test period during the test process, so as to further improve the accuracy and reliability of the wearing comfort test.

[0031] Optionally, in another possible implementation of the first aspect, in the process of performing a baseline test on the wearable device to be tested worn by the test subject in the preset wearing scenario, before acquiring baseline data collected by at least one temperature and humidity sensor at a preset collection frequency, the method further includes:

[0032] When the test subject does not wear the wearable device to be tested, obtain the air sampling data collected by each temperature and humidity sensor, wherein the air sampling data includes P air sampling temperatures and P air sampling humidity collected by each temperature and humidity sensor, wherein P is an integer greater than 1;

[0033] According to the air sampling data collected by each temperature and humidity sensor, it is judged whether the operating status of each temperature and humidity sensor is stable.

[0034] In this way, by allowing each temperature and humidity sensor to perform dry sampling before the test without the test subject wearing a wearable device, and judging whether the operating status of each temperature and humidity sensor is stable based on the dry sampling data, and conducting formal tests after determining that the operating status of each temperature and humidity sensor is stable, the reliability of the temperature and humidity data collected during the test is further improved, thereby further improving the accuracy and reliability of the wearing comfort test.

[0035] Optionally, in another possible implementation of the first aspect, after determining the temperature and humidity comfort index corresponding to the wearable device to be tested in a preset wearing scenario according to the difference between the test data and the baseline data, the method further includes:

[0036] According to the temperature and humidity comfort index and at least one comfort index threshold, determine the temperature and humidity comfort level corresponding to the wearable device to be tested in a preset wearing scenario.

[0037] In this way, the temperature and humidity comfort levels of wearable devices are divided according to the temperature and humidity comfort index and the comfort index threshold, so that the wearing comfort of wearable devices can be evaluated through more intuitive temperature and humidity comfort levels, which not only improves the accuracy and reliability of the wearing comfort test, but also makes the wearing comfort test results more intuitive.

[0038] In the second aspect, an embodiment of the present application provides a wearing comfort testing device for a wearable device, comprising: a baseline testing module, which is used to obtain baseline data collected by at least one temperature and humidity sensor at a preset acquisition frequency during a baseline test of a wearable device to be tested worn by a test subject in a preset wearing scenario, wherein each temperature and humidity sensor is arranged at the wearing position of the wearable device to be tested, and the baseline data includes K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, and K is an integer greater than 1; a formal testing module, which is used to obtain test data collected by each temperature and humidity sensor at a preset acquisition frequency during a formal test of the wearable device to be tested in a preset wearing scenario, wherein the test data includes L test temperatures and L test humidity collected by each temperature and humidity sensor, the test duration of the formal test is greater than the test duration of the baseline test, and L is an integer greater than K; a first determination module, which is used to determine the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario according to the difference between the test data and the baseline data.

[0039] In a possible implementation of the second aspect, the test duration of the formal test is M times the test duration of the baseline test, where M is an integer greater than 1; accordingly, the first determining module includes:

[0040] A division unit, used to divide the test duration of the formal test into M test periods;

[0041] The determination unit is used to determine the temperature and humidity comfort index according to the difference between the test data obtained in each test period and the baseline data.

[0042] Optionally, in another possible implementation manner of the second aspect, the determining unit is specifically configured to:

[0043] Determine the baseline thermal sensation index and baseline humidity index corresponding to the wearable device to be tested in the preset wearing scenario according to the baseline data;

[0044] Determine the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested according to the test data obtained in the mth test period, where m is an integer greater than or equal to 1 and or equal to M;

[0045] The temperature and humidity comfort index is determined according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index.

[0046] Optionally, in yet another possible implementation manner of the second aspect, the determining unit is further configured to:

[0047] Determine the thermal sensation change corresponding to the wearable device to be tested according to the difference between the M test thermal sensation indices and the baseline thermal sensation indices;

[0048] Determine the humidity change corresponding to the wearable device to be tested according to the difference between the M test humidity indicators and the baseline humidity indicator;

[0049] The temperature and humidity comfort index is determined based on the thermal sensation change and the humidity change.

[0050] Optionally, in yet another possible implementation of the second aspect, the number of the temperature and humidity sensors is N, where N is an integer, and the baseline data includes N×K baseline temperatures and N×K baseline humidity; accordingly, the determination unit is further used to:

[0051] According to the i-th baseline temperature, the i-th baseline humidity and the conversion relationship between temperature and humidity and human thermal sensation, determine the i-th baseline thermal sensation, where i is an integer greater than or equal to 1 and less than or equal to N×K;

[0052] Determine a baseline thermal sensation index according to N×K baseline thermal sensations;

[0053] A baseline humidity index is determined based on the N×K baseline humidity values.

[0054] Optionally, in yet another possible implementation of the second aspect, the test data acquired during the test period includes N×K test temperatures and N×K test humidity; accordingly, the determination unit is further configured to:

[0055] Determine the i-th test thermal sensation in the m-th test period according to the i-th test temperature, the i-th test humidity and the conversion relationship between temperature and humidity and human thermal sensation obtained in the m-th test period;

[0056] Determine the mth test thermal sensation index according to the N×K test thermal sensations in the mth test period;

[0057] The mth test humidity index is determined according to the N×K test humidity values ​​obtained in the mth test period.

[0058] Optionally, in another possible implementation of the second aspect, the apparatus further includes:

[0059] The air sampling module is used to obtain the air sampling data collected by each temperature and humidity sensor when the test subject is not wearing the wearable device to be tested, wherein the air sampling data includes P air sampling temperatures and P air sampling humidity collected by each temperature and humidity sensor, wherein P is an integer greater than 1;

[0060] The judgment module is used to judge whether the operating status of each temperature and humidity sensor is stable according to the air sampling data collected by each temperature and humidity sensor.

[0061] Optionally, in another possible implementation of the second aspect, the apparatus further includes:

[0062] The second determination module is used to determine the temperature and humidity comfort level corresponding to the wearable device to be tested in a preset wearing scenario according to the temperature and humidity comfort index and at least one comfort index threshold.

[0063] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors, and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the wearing comfort test method for the wearable device as described above.

[0064] In a fourth aspect, an embodiment of the present application provides a chip system, which is applied to an electronic device. The chip system includes one or more processors, and the one or more processors are used to call computer instructions so that the electronic device executes the wearing comfort testing method of the wearable device as described above.

[0065] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, which includes instructions. When the instructions are executed on an electronic device, the electronic device executes the wearing comfort testing method for a wearable device as described above.

[0066] In a sixth aspect, an embodiment of the present application provides a computer program product, which includes a computer program. When the computer program runs on an electronic device, the electronic device executes the wearing comfort testing method for a wearable device as described above.

[0067] The technical effects obtained by the above-mentioned second, third, fourth, fifth and sixth aspects are similar to the technical effects obtained by the corresponding technical means in the above-mentioned first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0069] Figure 1 It is a flowchart of a wearing comfort testing method for a wearable device provided in one embodiment of the present application;

[0070] Figure 2 It is a structural schematic diagram of a temperature and humidity collection device provided in one embodiment of the present application;

[0071] Figure 3 This is a schematic diagram of the arrangement of a temperature and humidity collection device provided in one embodiment of the present application;

[0072] Figure 4 It is a schematic diagram of the arrangement of another temperature and humidity collection device provided in one embodiment of the present application;

[0073] Figure 5 is a flow chart of a wearing comfort testing method for a wearable device provided in another embodiment of the present application;

[0074] Figure 6 is a flow chart of a wearing comfort testing method for a wearable device provided in yet another embodiment of the present application;

[0075] Figure 7 is a structural schematic diagram of a wearing comfort testing device for a wearable device provided in one embodiment of the present application;

[0076] Figure 8 It is a schematic diagram of the structure of an electronic device provided in one embodiment of the present application.

[0077] Fig. 9 It is a structural schematic diagram of an electronic device provided in another embodiment of the present application. DETAILED DESCRIPTION

[0078] The wearing comfort testing method, apparatus, electronic device, chip system, storage medium and computer program of the wearable device provided in the present application are described in detail below with reference to the accompanying drawings.

[0079] Please refer to Figure 1 , Figure 1 This is a flow chart of a wearing comfort test method for a wearable device provided in an embodiment of the present application. The method may include part or all of the following contents:

[0080] Step 101, during a baseline test of a wearable device to be tested worn by a test subject in a preset wearing scenario, baseline data collected by at least one temperature and humidity sensor is obtained at a preset collection frequency.

[0081] It should be noted that the wearing comfort test method of the wearable device of the embodiment of the present application can be performed by the wearing comfort test device of the wearable device of the embodiment of the present application. The wearing comfort test device of the wearable device of the embodiment of the present application can be configured in any electronic device to perform the wearing comfort test method of the wearable device of the embodiment of the present application.

[0082] Among them, each temperature and humidity sensor can be arranged at the wearing position of the wearable device to be tested, and the baseline data can include K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, and K can be an integer greater than 1.

[0083] It should be noted that the wearing position of the wearable device to be tested may refer to the body part occupied by the wearable device to be tested when the user normally wears the wearable device to be tested. For example, if the wearable device to be tested is a watch, the wearing position may be the wrist, so at least one temperature and humidity sensor may be arranged at the wrist of the test subject; if the wearable device to be tested is an in-ear headset, the wearing position may be the concha cavity (at the entrance of the external auditory canal), so at least one temperature and humidity sensor may be arranged at the concha cavity of the test subject; if the wearable device to be tested is a headset, the wearing position may be the entire auricle, so at least one temperature and humidity sensor may be arranged at the auricle of the test subject.

[0084] The preset wearing scenarios may include all possible wearing scenarios of the wearable device to be tested during normal use. For example, when the wearable device to be tested is a watch, the preset wearing scenarios may include running, skipping, walking, sitting, and other wearing scenarios.

[0085] The test subject may be a person wearing a wearable device for testing.

[0086] The wearable device to be tested can be any type of wearable device, and the embodiment of the present application does not limit this, that is, the wearing comfort test method of the wearable device in the embodiment of the present application can be used to test the wearing comfort of any type of wearable device. For example, the wearable device to be tested can be an ordinary watch, a smart watch, a phone watch, a headset, glasses, etc.

[0087] Among them, the preset acquisition frequency may refer to the frequency at which the temperature and humidity sensor collects temperature and humidity data. For example, the preset acquisition frequency may be 10 times / minute, that is, the temperature and humidity sensor may collect 10 temperature data and 10 humidity data per minute (temperature data and humidity data may be collected at the same time). It should be noted that in actual use, the preset acquisition frequency may be determined according to actual needs and specific application scenarios, and the embodiments of the present application do not limit this.

[0088] Among them, the temperature and humidity sensor may be a sensor that can collect temperature and humidity at the same time. It should be noted that the temperature and humidity sensor in the embodiment of the present application can be an integral sensor formed by the integration of a temperature acquisition module and a humidity acquisition module in terms of hardware appearance, or it can be a sensor combination composed of a temperature sensor and a humidity sensor, and the embodiment of the present application does not limit this. In addition, in order to prevent the volume of the temperature and humidity sensor from affecting the comfort of the test object and to minimize the impact of the temperature and humidity sensor itself on the test results, the temperature and humidity sensor in the embodiment of the present application can be a micro sensor.

[0089] Among them, the baseline test may refer to a test process with a shorter test time, which is used to simulate the wearing feeling of the user when he just wears the wearable device.

[0090] The baseline data may include all baseline temperatures and baseline humidity collected during the baseline test. For example, if the preset collection frequency is 10 times / minute and the baseline test duration is 10 minutes, then the value of K is 100, that is, the baseline data collected by one temperature and humidity sensor includes 100 baseline temperatures and 100 baseline humidity.

[0091] In the embodiment of the present application, since the user has just put on the wearable device for a short time, the wearing position has not yet generated an increase in temperature and humidity due to wearing the wearable device, so the wearing comfort of the user is the highest when the wearable device is just put on; however, since the wearable device is always in contact with the human body, the material of the wearable device may cause sweating, friction, etc., which may cause the wearing comfort to decrease as the wearing time increases. Therefore, the temperature and humidity data of the wearing position can be collected as a reference within a short period of time (such as 5 minutes, 10 minutes, etc.) when the test subject just wears the wearable device to be tested, and then the temperature and humidity data of the test subject wearing the wearable device to be tested for a long time are collected, and then the two are compared to obtain the change in comfort when the test subject wears the wearable device to be tested for a long time and when it is just worn, thereby obtaining the wearing comfort of the wearable device to be tested.

[0092] Therefore, in an embodiment of the present application, when testing the wearing comfort of the wearable device to be tested in a preset wearing scenario, at least one temperature and humidity sensor can be first arranged at the wearing position of the test subject, and then the test subject is made to wear the wearable device to be tested, and then the test subject is made to continue to wear the wearable device to be tested in the preset wearing scenario for a baseline test, and during the baseline test, the temperature and humidity data collected by each temperature and humidity sensor are obtained according to the preset collection frequency to obtain baseline data.

[0093] For example, the wearable device to be tested is a watch, the preset wearing scenario is a running scenario, the number of temperature and humidity sensors is 6, the preset acquisition frequency is 10 times / minute, and the duration of the baseline test is 10 minutes. Therefore, 6 temperature and humidity sensors can be arranged on the wrist of the test subject first. After the test subject wears the wearable device to be tested, he can continue to run for 10 minutes, and continuously collect baseline temperature and baseline humidity during the test subject's running. The baseline data finally collected can include 100 baseline temperatures and 100 baseline humidity collected by each temperature and humidity sensor, that is, a total of 600 baseline temperatures and 600 baseline humidity collected by 6 temperature and humidity sensors.

[0094] It should be noted that in order to ensure the accuracy of the test results, the ambient temperature, ambient humidity, wind speed and other environmental conditions that may affect the test accuracy can be adjusted to appropriate levels before the test begins, and these environmental conditions must remain constant during the test.

[0095] As an example, the temperature and humidity data collection process of the embodiment of the present application can be performed as follows: Figure 2 The temperature and humidity acquisition device shown is executed. Figure 2 The temperature and humidity acquisition device shown includes multiple temperature and humidity sensors ( Figure 2 There are 6 in the figure), flexible materials, a signal acquisition box and a power supply. Each temperature and humidity sensor is connected to the signal acquisition box through a flexible material. The power supply is used to power the signal acquisition box and the temperature and humidity sensors. The signal acquisition box is used to obtain the temperature and humidity data collected by each temperature and humidity sensor, and forward it to an electronic device used to perform a comfort test on the wearable device (i.e., an electronic device equipped with a wearing comfort test method for a wearable device according to an embodiment of the present application), so that the temperature and humidity data collected by the temperature and humidity acquisition device during the test can be analyzed and processed by the electronic device to generate a wearing comfort test result for the wearable device to be tested.

[0096] like Figure 3 and Figure 4 As shown, when the wearable device to be tested is a watch, Figure 2 The temperature and humidity collection device shown can be Figure 3 and Figure 4 The method shown is fixed on the arm of the test subject. That is, 6 miniature temperature and humidity sensors (No. 1-6) are pasted around the wrist of the test subject at a certain distance (for example, they can be evenly distributed). For example, 2 temperature and humidity sensors (No. 4 and 5) are arranged on the front of the test subject's wrist, 2 (No. 1 and 2) temperature and humidity sensors are arranged on the back of the test subject's wrist, and 1 temperature and humidity sensor (No. 3 and 6) is arranged on the radial side of the test subject's wrist.

[0097] It should be noted that when arranging the temperature and humidity sensors, the temperature and humidity sensors can be fixed at the wearing position by means of fixing objects such as tape if necessary.

[0098] Furthermore, since the accuracy of the temperature and humidity data collected by the temperature and humidity sensor will directly affect the accuracy of the test results, it is possible to pre-test and ensure that the operating status of each temperature and humidity sensor is normal and stable before the test begins, so as to prevent the temperature and humidity sensor failure from affecting the accuracy of the test results, thereby further improving the accuracy and reliability of the wearable device wearing comfort test. That is, in a possible implementation method of the embodiment of the present application, before the above step 101, it can include:

[0099] When the test subject does not wear the wearable device to be tested, obtain the air sampling data collected by each temperature and humidity sensor, wherein the air sampling data includes P air sampling temperatures and P air sampling humidity collected by each temperature and humidity sensor, wherein P is an integer greater than 1;

[0100] According to the air sampling data collected by each temperature and humidity sensor, it is judged whether the operating status of each temperature and humidity sensor is stable.

[0101] Among them, the air sampling data may include all air sampling temperatures and air sampling humidities collected during the air sampling process when the test subject is not wearing the wearable device to be tested.

[0102] As a possible implementation method, after arranging each temperature and humidity sensor at the wearing position, each temperature and humidity sensor can be driven to perform air sampling at a preset sampling frequency for a period of time to collect multiple air sampling temperatures and multiple air sampling humidity, and then judge whether the operating status of each temperature and humidity sensor is temperature based on the data distribution of each air sampling temperature and each air sampling humidity. If it is determined that the operating status of each temperature and humidity sensor is stable, the wearable device to be tested can be tested; if it is determined that the operating status of at least one temperature and humidity sensor is unstable, it means that at least one temperature and humidity sensor may be faulty or the collected data is inaccurate. After adjusting or replacing the temperature and humidity sensors and ensuring that the operating status of each temperature and humidity sensor is stable, the wearable device to be tested can be tested to further improve the accuracy and reliability of the test results.

[0103] For example, assuming that the preset collection frequency during air sampling is 10 times / minute and the air sampling duration is 1 minute, the value of P is 10, that is, the air sampling data collected by one temperature and humidity sensor includes 10 air sampling temperatures and 10 air sampling humidity.

[0104] As an example, the operating state of the temperature and humidity sensor can be judged to be stable based on the maximum range of the air-collecting data collected by the temperature and humidity sensor. That is to say, for a temperature and humidity sensor, the maximum and minimum values ​​of the air-collecting temperature collected by the temperature and humidity sensor, as well as the maximum and minimum values ​​of the air-collecting humidity, can be determined based on the P air-collecting temperatures and P air-collecting humidity collected by the temperature and humidity sensor, and the difference between the maximum and minimum values ​​of the air-collecting temperature collected by the temperature and humidity sensor can be determined as the air-collecting temperature range, and the difference between the maximum and minimum values ​​of the air-collecting humidity collected by the temperature and humidity sensor can be determined as the air-collecting humidity range, and when the air-collecting temperature range corresponding to the temperature and humidity sensor is less than the temperature threshold and the air-collecting humidity range is less than the humidity threshold, it is determined that the operating state of the temperature and humidity sensor is stable. By analogy, in the same way, it can be determined in turn whether the operating state of each temperature and humidity sensor is stable.

[0105] As an example, since the variance or standard deviation of a set of data can reflect the degree of fluctuation of the set of data, it is also possible to determine whether the operating state of the temperature and humidity sensor is stable based on the variance or standard deviation of the air-collected data collected by the temperature and humidity sensor. Taking the standard deviation as an example, for a temperature and humidity sensor, the standard deviation of the air-collected temperature corresponding to the P air-collected temperatures and P air-collected humidity collected by the temperature and humidity sensor can be determined, as well as the standard deviation of the air-collected humidity corresponding to the P air-collected humidity; and when the standard deviation of the air-collected temperature and the standard deviation of the air-collected humidity corresponding to the temperature and humidity sensor are both less than the standard deviation threshold, it is determined that the operating state of the temperature and humidity sensor is stable. By analogy, in the same way, it is possible to determine in turn whether the operating state of each temperature and humidity sensor is stable. It should be noted that if the operating state of the temperature and humidity sensor is determined to be stable based on the variance of the air-collected data, it can also be processed in the same way as the above-mentioned standard deviation.

[0106] It should be noted that the preset acquisition frequency of the air sampling can be the same as or different from the preset acquisition frequency during the baseline test and the formal test, and the embodiment of the present application does not limit this. In addition, in actual use, the preset acquisition frequency and air sampling duration during the air sampling can be set according to actual needs and specific application scenarios, and the embodiment of the present application does not limit this.

[0107] Step 102, during a formal test of the wearable device to be tested in a preset wearing scenario, test data collected by each temperature and humidity sensor is obtained at a preset collection frequency.

[0108] The test data may include L test temperatures and L test humidity collected by each temperature and humidity sensor. The test duration of the formal test may be greater than the test duration of the baseline test, and L may be an integer greater than K.

[0109] Among them, the formal test may refer to a test process with a longer test time, which is used to simulate the wearing feeling of the user when actually wearing the wearable device for a longer period of time.

[0110] The test data may include all test temperatures and test humidity collected during the formal test. For example, if the preset collection frequency is 10 times / minute and the test duration of the formal test is 60 minutes, then the value of L is 600, that is, the test data collected by one temperature and humidity sensor includes 600 test temperatures and 600 test humidity.

[0111] In an embodiment of the present application, after the baseline test is completed, the test subject can take off the wearable device to be tested and have a sufficient rest, and can put on the wearable device to be tested again for a formal test after the test subject has had a sufficient rest. During the formal test, multiple test temperatures and multiple test humidity are collected through various temperature and humidity sensors, so that the temperature and humidity changes when the user actually wears the wearable device to be tested can be represented by the multiple test temperatures and multiple test humidity collected during the formal test.

[0112] Step 103: Determine the temperature and humidity comfort index corresponding to the wearable device to be tested in a preset wearing scenario according to the difference between the test data and the baseline data.

[0113] Among them, the temperature and humidity comfort index can be used to measure the wearing comfort of the wearable device to be tested in a preset wearing scenario. It should be noted that the temperature and humidity comfort index can be positively correlated with the wearing comfort of the wearable device to be tested, or negatively correlated with the wearing comfort of the wearable device to be tested. This is related to the specific calculation method of the temperature and humidity comfort index, and the embodiment of the present application does not limit this.

[0114] In an embodiment of the present application, the baseline data is the temperature and humidity data collected when the user just starts to wear the wearable device to be tested in the preset wearing scenario, that is, the baseline data can characterize the temperature and humidity conditions when the user just wears the wearable device to be tested in the preset wearing scenario and feels comfortable wearing; and the test data is the temperature and humidity data collected when the user simulates wearing the wearable device to be tested for a long time in the preset wearing scenario, that is, the test data can characterize the temperature and humidity conditions when the user actually wears the wearable device to be tested for a long time in the preset wearing scenario. Therefore, the greater the difference between the test data and the baseline data, the lower the wearing comfort of the wearable device to be tested in the preset wearing scenario; the smaller the difference between the test data and the baseline data, the higher the wearing comfort of the wearable device to be tested in the preset wearing scenario. Therefore, in an embodiment of the present application, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined according to the difference between the test data and the baseline data, so as to accurately measure the wearing comfort of the wearable device to be tested through the temperature and humidity comfort index.

[0115] As a possible implementation method, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined based on the mean difference between the test data and the baseline data. That is to say, assuming that the number of temperature and humidity sensors is N, a total of N×K baseline temperatures and N×K baseline humidities are collected in the baseline test phase. Therefore, the baseline temperature mean corresponding to the N×K baseline temperatures and the baseline humidity mean corresponding to the N×K baseline humidities can be determined first; in the formal test phase, a total of N×L test temperatures and N×L test humidities are collected. Therefore, the test temperature mean corresponding to the N×L test temperatures and the test humidity mean corresponding to the N×L test humidities can be determined; then the absolute value of the temperature difference between the baseline temperature mean and the test temperature mean, and the absolute value of the humidity difference between the baseline humidity mean and the test humidity mean can be determined; finally, the absolute value of the temperature difference and the absolute value of the humidity difference can be weighted to determine the temperature and humidity comfort index corresponding to the wearable device to be tested. That is, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined by the following formula:

[0116]

[0117] in, is the mean of the baseline temperatures corresponding to N×K baseline temperatures, is the ith baseline temperature collected by the nth temperature and humidity sensor, is the mean baseline humidity corresponding to N×K baseline humidities, is the ith baseline humidity collected by the nth temperature and humidity sensor, K is the number of baseline temperatures and baseline humidities collected by each temperature and humidity sensor, is the mean value of the test temperature corresponding to N×L test temperatures, is the i-th test temperature collected by the n-th temperature and humidity sensor, is the average test humidity corresponding to N×L test humidities, is the i-th test humidity collected by the n-th temperature and humidity sensor, N is the number of temperature and humidity sensors, L is the number of test temperatures and test humidity collected by each temperature and humidity sensor, n is the serial number of the temperature and humidity sensor, i is the serial number of the baseline temperature, baseline humidity, test temperature and test humidity; com is the temperature and humidity comfort index corresponding to the wearable device to be tested, is the weight corresponding to the absolute value of the temperature difference, is the weight corresponding to the absolute value of the humidity difference.

[0118] For example, the sum of the absolute value of the temperature difference and the absolute value of the humidity difference can be determined as the temperature and humidity comfort index corresponding to the wearable device to be tested (i.e., and are all 1); alternatively, the average of the absolute values ​​of the temperature difference and the absolute values ​​of the humidity difference can be determined as the temperature and humidity comfort index corresponding to the wearable device to be tested (i.e., and are all 0.5); or, according to the impact of temperature and humidity on human comfort, experimental data, etc., pre-set the weights corresponding to the absolute values ​​of temperature difference and humidity difference (i.e., the absolute values ​​in formula 5 and ), and use the set weights to perform weighted summation on the absolute value of the temperature difference and the absolute value of the humidity difference, and determine the weighted sum of the two as the temperature and humidity comfort index corresponding to the wearable device to be tested.

[0119] It should be noted that in actual use, it can be determined according to actual needs and specific application scenarios. and The specific value of is not limited in the embodiments of the present application. In addition, since the greater the difference between the test data and the baseline data, the lower the comfort level of the wearable device to be tested, the temperature and humidity comfort index determined by the various methods listed above is negatively correlated with the actual wearing comfort level of the wearable device to be tested.

[0120] As a possible implementation method, since the value range of the temperature and humidity comfort index determined based on the difference between the test data and the baseline data may be uncertain, after obtaining a test result, since the value range of the temperature and humidity comfort index is unknown, the user may not be able to intuitively know the wearing comfort of the wearable device to be tested based on the obtained temperature and humidity comfort index. For example, the temperature and humidity comfort index is negatively correlated with the wearing comfort. If a temperature and humidity comfort index of 8 is obtained, if it is within the numerical range of 1 to 10, then the temperature and humidity comfort index indicates that the wearing comfort of the wearable device to be tested is low; if it is within the numerical range of 1 to 100, then the temperature and humidity comfort index indicates that the wearing comfort of the wearable device to be tested is high. Therefore, in order to make the temperature and humidity comfort index obtained from the test more intuitively represent the wearing comfort of the wearable device, after determining the temperature and humidity comfort index based on the difference between the test data and the baseline data, the temperature and humidity comfort index can also be normalized to normalize the temperature and humidity comfort index to a specific numerical range, so that the user can more intuitively know the wearing comfort of the wearable device to be tested through the normalized temperature and humidity comfort index.

[0121] As a possible implementation method, if the temperature and humidity comfort index determined based on the difference between the test data and the baseline data is negatively correlated with the wearing comfort, the obtained temperature and humidity comfort index can be further processed so that the final temperature and humidity comfort index is positively correlated with the wearing comfort, so that the final temperature and humidity comfort index can more intuitively characterize the wearing comfort of the wearable device to be tested. For example, the reciprocal of the temperature and humidity comfort index determined by the above method can be determined as the final temperature and humidity comfort index.

[0122] As a possible implementation method, in order to make the temperature and humidity comfort index obtained from the test more intuitively represent the wearing comfort of wearable devices, if the temperature and humidity comfort index determined based on the difference between the test data and the baseline data is negatively correlated with the wearing comfort, then the temperature and humidity comfort index can be normalized to a specific numerical range, and the temperature and humidity comfort index can be positively correlated with the wearing comfort.

[0123] For example, after determining the temperature and humidity comfort index based on the difference between the test data and the baseline data, the reciprocal of the temperature and humidity comfort index can be determined first, and then the reciprocal of the temperature and humidity comfort index can be normalized to a specific numerical range to obtain the final temperature and humidity comfort index.

[0124] For another example, after determining the temperature and humidity comfort index based on the difference between the test data and the baseline data, the temperature and humidity comfort index can be normalized to a specific value range [X, Y] (where X and Y are real numbers) and then the difference between Y and the normalized temperature and humidity comfort index is determined as the final temperature and humidity comfort index. For example, if the specific value range is [0, 100] and the normalized temperature and humidity comfort index is 2, then the final temperature and humidity comfort index can be determined to be 100-2=98.

[0125] It should be noted that the implementation methods listed above are exemplary and cannot be regarded as limitations of the present application. In actual use, the temperature and humidity comfort index can be processed in a suitable manner according to actual needs and specific application scenarios, and the temperature and humidity comfort index can be normalized to a suitable numerical range. The embodiments of the present application do not limit this. For example, the specific numerical ranges mentioned above can be [0, 1], [0, 10], [0, 100], and so on.

[0126] Furthermore, the temperature and humidity comfort levels of the wearable device can be divided according to the temperature and humidity comfort index and the comfort index threshold, so as to evaluate the wearing comfort of the wearable device through a more intuitive temperature and humidity comfort level, thereby not only improving the accuracy and reliability of the wearing comfort test, but also making the wearing comfort test results more intuitive. That is, in a possible implementation of the embodiment of the present application, after the above step 103, it can also include:

[0127] According to the temperature and humidity comfort index and at least one comfort index threshold, determine the temperature and humidity comfort level corresponding to the wearable device to be tested in a preset wearing scenario.

[0128] As a possible implementation method, since the temperature and humidity comfort index determined based on the difference between the test data and the baseline data may not be able to intuitively characterize the wearing comfort of the wearable device, it can also be divided into multiple levels based on the determined temperature and humidity comfort index to more intuitively characterize the wearing comfort of the wearable device through the levels.

[0129] As an example, the number of comfort index thresholds may be 1, and the number of temperature and humidity comfort levels may be 2 (such as including two levels, high and low). If the temperature and humidity comfort index corresponding to the wearable device to be tested is positively correlated with the wearing comfort, then when the temperature and humidity comfort index is greater than the comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested may be determined as "high"; when the temperature and humidity comfort index is less than or equal to the comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested may be determined as "low". If the temperature and humidity comfort index corresponding to the wearable device to be tested is negatively correlated with the wearing comfort, then when the temperature and humidity comfort index is greater than the comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested may be determined as "low"; when the temperature and humidity comfort index is less than or equal to the comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested may be determined as "high".

[0130] As an example, the number of comfort index thresholds can be 2 (i.e., including the first comfort index threshold and the second comfort index threshold, and the first comfort threshold is greater than the second comfort threshold), and the number of temperature and humidity comfort levels can be 3 (such as including high, medium, and low levels). If the temperature and humidity comfort index corresponding to the wearable device to be tested is positively correlated with the wearing comfort, then when the temperature and humidity comfort index is greater than the first comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "high"; when the temperature and humidity comfort index is less than or equal to the first comfort index threshold and greater than the second comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "medium"; when the temperature and humidity comfort index is less than or equal to the second comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "low". If the temperature and humidity comfort index corresponding to the wearable device to be tested is negatively correlated with the wearing comfort, when the temperature and humidity comfort index is greater than the first comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "low"; when the temperature and humidity comfort index is less than or equal to the first comfort index threshold and greater than the second comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "medium"; when the temperature and humidity comfort index is less than or equal to the second comfort index threshold, the temperature and humidity comfort level corresponding to the wearable device to be tested can be determined as "high".

[0131] It should be noted that after determining the temperature and humidity comfort index according to the difference between the test data and the baseline data, the temperature and humidity comfort level can be determined directly based on the temperature and humidity comfort index; or after normalizing the temperature and humidity comfort index and / or making the temperature and humidity comfort index positively correlated with the wearing comfort according to the aforementioned method, the temperature and humidity comfort level can be determined based on the normalized temperature and humidity comfort index and / or the temperature and humidity comfort index positively correlated with the wearing comfort, which is not limited in the embodiments of the present application. Moreover, in actual use, the number and specific values ​​of the comfort index thresholds can be determined according to the actual needs and specific application scenarios, as well as the required comfort level division granularity, which is not limited in the embodiments of the present application.

[0132] The wearing comfort test method of a wearable device provided in an embodiment of the present application arranges a temperature and humidity sensor at the wearing position of the wearable device of the test object to collect temperature and humidity data of the wearing position of the wearable device during the wearing process, and first performs a short baseline test on the wearable device to be tested in a preset wearing scenario to collect baseline data collected by each temperature and humidity sensor, and then performs a longer formal test on the wearable device to be tested in the preset wearing scenario to collect test data collected by each temperature and humidity sensor, and then measures the change in wearing comfort of the wearable device to be tested in the preset wearing scenario according to the difference between the test data and the baseline data, and then determines the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario. Therefore, by collecting temperature and humidity data of the wearing position through the temperature and humidity sensor while the test subject wears the wearable device to be tested, and then determining the temperature and humidity comfort index of the wearable device to be tested according to the temperature and humidity changes at the wearing position during the wearing process, the wearing comfort of the wearable device to be tested can be objectively measured through the temperature and humidity comfort index, thereby objectively and quantitatively testing the wearing comfort of the wearable device to be tested, thereby avoiding the influence of the subjective feelings of the test subject on the test results, and repeatedly verifying the same device, thereby improving the test accuracy of the wearing comfort of the wearable device.

[0133] Please refer to Figure 5 , Figure 5 : is a flow chart of a wearing comfort test method for a wearable device provided in another embodiment of the present application, and the method may include part or all of the following contents:

[0134] Step 501, in a process of performing a baseline test on a wearable device to be tested worn by a test subject in a preset wearing scenario, baseline data collected by at least one temperature and humidity sensor is obtained at a preset collection frequency.

[0135] Among them, each temperature and humidity sensor can be arranged at the wearing position of the wearable device to be tested, and the baseline data can include K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, and K can be an integer greater than 1.

[0136] Step 502, during the formal test of the wearable device to be tested in the preset wearing scenario, the test data collected by each temperature and humidity sensor is obtained at a preset collection frequency, wherein the test duration of the formal test is M times the test duration of the baseline test, and M is an integer greater than 1.

[0137] The test data may include L test temperatures and L test humidity collected by each temperature and humidity sensor. The test duration of the formal test may be greater than the test duration of the baseline test, and L may be an integer greater than K.

[0138] The specific implementation process and principle of the above steps 501-502 can be referred to the detailed description of the above embodiment and will not be repeated here.

[0139] Step 503: Divide the test duration of the formal test into M test periods.

[0140] It is understandable that due to the different materials of different wearable devices, some wearable devices may be more comfortable when worn for a short time, but the comfort may drop sharply when worn for a long time; or some wearable devices are less comfortable when worn for a short time, but the comfort will increase when worn for a long time; or some wearable devices are more comfortable at different wearing time lengths; therefore, if the temperature and humidity comfort index measured in the final test can effectively integrate the comfort of wearable devices at different wearing time lengths, then the obtained temperature and humidity comfort index can more accurately measure the wearing comfort of wearable devices. Therefore, in an embodiment of the present application, the test duration of the formal test can be made an integer multiple of the test duration of the baseline test, and the test duration of the formal test can be evenly divided into multiple test periods with the same test duration as the baseline test, and then the temperature and humidity comfort index of the wearable device to be tested is determined according to the difference between the test data in each test period and the baseline data, so that the temperature and humidity comfort index obtained by the test effectively integrates the comfort conditions of different wearing times, and can more accurately measure the wearing comfort of the wearable device, thereby further improving the accuracy and reliability of the wearing comfort test of the wearable device.

[0141] It should be noted that, in actual use, the specific value of M can be determined according to actual needs and specific application scenarios, and the embodiment of the present application does not limit this. For example, the value of M can be an integer greater than 5.

[0142] Step 504, determining the temperature and humidity comfort index according to the difference between the test data obtained in each test period and the baseline data.

[0143] In the embodiment of the present application, after the test duration of the formal test is evenly divided into M test periods, each test period is the same as the test duration of the baseline test, and the preset acquisition frequency during the formal test is the same as the preset acquisition frequency during the baseline test, therefore, the number of test data in each test period is the same as the number of baseline data, that is, 1 temperature and humidity sensor collects K test temperatures and K test humidity in 1 test period, that is, M×K=L. Since the baseline data can characterize the temperature and humidity conditions and comfort conditions when the user is more comfortable when just wearing the wearable device to be tested, and the test data in each test humidity can characterize the temperature and humidity conditions and comfort conditions when the user wears the wearable device during the test period. Therefore, the difference between the test data in each test period and the baseline data can be determined, and then the temperature and humidity comfort index corresponding to the wearable device is determined according to the difference between the test data in each test period and the baseline data, so that the temperature and humidity comfort index integrates the comfort conditions under different wearing times.

[0144] As a possible implementation method, assuming that the number of temperature and humidity sensors is N, a total of N×K baseline temperatures and N×K baseline humidity are collected during the baseline test phase. Therefore, the baseline temperature mean corresponding to the N×K baseline temperatures can be determined according to the above formulas (1) and (2): , and the mean baseline humidity corresponding to N×K baseline humidity ; In the formal test phase, a total of N×L test temperatures and N×L test humidity are collected, and N×K test temperatures and N×K test humidity are collected in each test period. Therefore, for the i-th test period (i is an integer greater than or equal to 1 and less than or equal to M), the i-th test temperature mean corresponding to the N×K test temperatures in the i-th test period and the i-th test humidity mean corresponding to the N×K test humidity can be determined; and then the baseline temperature mean can be determined The absolute value of the ith temperature difference from the ith test temperature mean, and the baseline humidity mean The absolute value of the i-th humidity difference between the i-th test humidity mean; then, the sum of the absolute values ​​of the M temperature differences can be determined as the temperature change during the formal test, and the sum of the absolute values ​​of the M humidity differences can be determined as the humidity change during the formal test; finally, the temperature change and humidity change can be weighted to determine the temperature and humidity comfort index corresponding to the wearable device to be tested. That is, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined by the above formula (1), formula (2) and the following formula:

[0145]

[0146]

[0147] in, is the average test temperature corresponding to the N×K test temperatures in the mth test period, is the i-th test temperature collected by the n-th temperature and humidity sensor in the m-th test period, is the average test humidity corresponding to the N×K test humidities in the mth test period, is the i-th test humidity collected by the n-th temperature and humidity sensor in the m-th test period, is the temperature change, is the humidity change, N is the number of temperature and humidity sensors, M is the number of test periods, n is the serial number of the temperature and humidity sensor, i is the serial number of the baseline temperature, baseline humidity, test temperature and test humidity; com is the temperature and humidity comfort index corresponding to the wearable device to be tested, q is the weight corresponding to the temperature change, p is the weight corresponding to the humidity change, b is the correction parameter, q, p, b are all constants.

[0148] It should be noted that in actual use, the specific values ​​of q, p, and b can be determined according to actual needs and the importance of temperature changes and humidity changes to comfort, and the embodiments of the present application do not limit this. As an example, the value of b can be 0.

[0149] It should be noted that after determining the temperature and humidity comfort index, the temperature and humidity comfort index can also be post-processed according to the method of the aforementioned embodiment, that is, other specific implementation processes after the above step 504, such as normalizing the temperature and humidity comfort index, determining the temperature and humidity comfort level according to the temperature and humidity comfort index, and other post-processing processes, can refer to the detailed description of the aforementioned embodiment and will not be repeated here.

[0150] The wearing comfort test method of a wearable device provided in an embodiment of the present application first performs a short baseline test on the wearable device to be tested to obtain baseline data that can characterize the temperature and humidity of the wearable device to be tested when it is just worn, and then performs a formal test on the wearable device to be tested for a longer time, and the test duration is an integer multiple of the baseline test, and the test data in each test period in each formal test is compared with the baseline data to determine the changes in temperature and humidity in different test periods, and determine the temperature and humidity comfort index according to the changes in temperature and humidity in different test periods, so that the temperature and humidity comfort index finally determined can comprehensively characterize the wearing comfort of the wearable device to be tested at different wearing durations, thereby further improving the accuracy of the wearing comfort test.

[0151] Please refer to Figure 6 , Figure 6: is a flow chart of a wearing comfort test method for a wearable device provided in another embodiment of the present application, and the method may include part or all of the following contents:

[0152] Step 601, during a baseline test of a wearable device to be tested worn by a test subject in a preset wearing scenario, baseline data collected by at least one temperature and humidity sensor is obtained at a preset collection frequency.

[0153] Among them, each temperature and humidity sensor can be arranged at the wearing position of the wearable device to be tested, and the baseline data can include K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, and K can be an integer greater than 1.

[0154] Step 602, during the formal test of the wearable device to be tested in the preset wearing scenario, the test data collected by each temperature and humidity sensor is obtained at a preset collection frequency, wherein the test duration of the formal test is M times the test duration of the baseline test, and M is an integer greater than 1.

[0155] The test data may include L test temperatures and L test humidity collected by each temperature and humidity sensor. The test duration of the formal test may be greater than the test duration of the baseline test, and L may be an integer greater than K.

[0156] Step 603, dividing the test duration of the formal test into M test periods.

[0157] The specific implementation process and principle of the above steps 601-603 can be referred to the detailed description of the above embodiment, which will not be repeated here.

[0158] Step 604: Determine, based on the baseline data, a baseline thermal sensation index and a baseline humidity index corresponding to the wearable device to be tested in a preset wearing scenario.

[0159] The baseline thermal sensation index may refer to an index determined based on baseline data that can measure the thermal sensation of the human body surface of the test subject during the baseline test phase.

[0160] The baseline humidity index may refer to an index determined based on baseline data that can measure the body surface humidity of the test subject during the baseline test phase.

[0161] In the embodiment of the present application, since the temperature and humidity of the human body surface will affect the human body's thermal sensation, and the human body's thermal sensation can more accurately and intuitively reflect the wearing comfort of the human body when wearing a wearable device, the collected temperature and humidity data can be converted into thermal sensation indicators and humidity indicators, and the temperature and humidity comfort indicators corresponding to the wearable device to be tested can be determined based on the difference between the thermal sensation indicators and humidity indicators in the formal test phase and the thermal sensation indicators and humidity indicators in the baseline test phase.

[0162] In the embodiment of the present application, the conversion relationship between temperature and humidity and human thermal sensation can be determined in advance by experiment, and then each baseline temperature and each baseline humidity are substituted into the conversion relationship between temperature and humidity and human thermal sensation to determine the baseline thermal sensation corresponding to each baseline temperature and baseline humidity, and then the baseline thermal sensation index can be determined according to each baseline thermal sensation; and the baseline humidity index can be determined according to each baseline humidity. As an example, the conversion relationship between temperature and humidity and human thermal sensation can be expressed by the following formula:

[0163]

[0164] Where H is the thermal sensation, , , …, is a constant, F is temperature, and R is humidity.

[0165] As a possible implementation, assuming that the number of temperature and humidity sensors is N, that is, the baseline data includes N×K baseline temperatures and N×K baseline humidity, then the above step 604 may include:

[0166] According to the i-th baseline temperature, the i-th baseline humidity and the conversion relationship between temperature and humidity and human thermal sensation, determine the i-th baseline thermal sensation, where i is an integer greater than or equal to 1 and less than or equal to N×K;

[0167] Determine a baseline thermal sensation index according to N×K baseline thermal sensations;

[0168] A baseline humidity index is determined based on the N×K baseline humidity values.

[0169] As an example, the ith baseline temperature collected by the nth temperature and humidity sensor can be and the i-th baseline humidity , substitute into the above formula (11) to obtain the baseline temperature and baseline humidity Corresponding baseline thermal sensation , and then the sum of N×K baseline thermal sensations can be determined as the baseline thermal sensation index; correspondingly, the sum of N×K baseline humidity can be determined as the baseline humidity index. That is, the baseline thermal sensation index and the baseline humidity index can be determined by the following formula:

[0170]

[0171] in, is the baseline thermal sensation index, is the ith baseline temperature, is the baseline humidity index, is the i-th baseline humidity, K is the number of baseline temperatures and baseline humidities collected by each temperature and humidity sensor, N is the number of temperature and humidity sensors, and i is the sequence number of the baseline temperature and baseline humidity.

[0172] As an example, after determining N×K baseline thermal sensations, the average of the N×K baseline thermal sensations can be determined as the baseline thermal sensation index; correspondingly, the average of the N×K baseline humidity can be determined as the baseline humidity index. That is, the baseline thermal sensation index and the baseline humidity index can be determined by the following formula:

[0173]

[0174] in, is the baseline thermal sensation index, is the ith baseline temperature, is the baseline humidity index, is the i-th baseline humidity, K is the number of baseline temperatures and baseline humidities collected by each temperature and humidity sensor, N is the number of temperature and humidity sensors, and i is the sequence number of the baseline temperature and baseline humidity.

[0175] It should be noted that the above-mentioned methods for determining the baseline thermal sensation index and the baseline humidity index are only exemplary and cannot be regarded as limiting the present application. In actual use, the method for determining the baseline thermal sensation index and the baseline humidity index can be selected according to actual needs and specific application scenarios, and the present application embodiment does not limit this.

[0176] Step 605: Determine the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested according to the test data obtained in the mth test period, where m is an integer greater than or equal to 1 and or equal to M.

[0177] The mth test thermal sensation index may refer to an index determined according to the test data in the mth test period and capable of measuring the thermal sensation of the human body surface of the test subject in the mth test period.

[0178] Among them, the mth test humidity index may refer to an index determined according to the test data in the mth test period and capable of measuring the body surface humidity of the test subject in the mth test period.

[0179] In an embodiment of the present application, for the mth test period, each test temperature and each test humidity within the test period can be substituted into the conversion relationship between temperature and humidity and human sensation to determine the test thermal sensation corresponding to each test temperature and test humidity within the test period; after determining each test thermal sensation within the test period, the mth test thermal sensation index can be determined based on each test thermal sensation within the mth test period; correspondingly, the mth test humidity index can be determined based on each test humidity within the mth test period.

[0180] As a possible implementation, assuming that the number of temperature and humidity sensors is N, that is, the test data in each test period includes N×K test temperatures and N×K test humidity, then the above step 605 may include:

[0181] Determine the i-th test thermal sensation in the m-th test period according to the i-th test temperature, the i-th test humidity and the conversion relationship between temperature and humidity and human thermal sensation obtained in the m-th test period;

[0182] Determine the mth test thermal sensation index according to the N×K test thermal sensations in the mth test period;

[0183] The mth test humidity index is determined according to the N×K test humidity values ​​obtained in the mth test period.

[0184] As an example, if the baseline thermal sensation index and the baseline humidity index in step 604 are determined according to formula (12) and formula (13), then when determining the mth test thermal sensation index and the mth test humidity index in step 605, the i-th test temperature in the mth test period may be and the i-th test humidity , substituted into the above formula (11) to obtain the i-th test thermal sensation in the m-th test period , and then the sum of N×K test thermal sensations in the mth test period can be determined as the mth test thermal sensation index; correspondingly, the sum of N×K test humidity in the mth test period can be determined as the mth test humidity index. That is, the mth test thermal sensation index and the mth test humidity index can be determined by the following formula:

[0185]

[0186] in, is the mth test thermal sensation index, is the i-th test temperature in the m-th test period, is the mth test humidity index, is the i-th test humidity in the m-th test period, K is the number of test temperatures and test humidity collected by each temperature and humidity sensor in each test period, N is the number of temperature and humidity sensors, and i is the sequence number of the test temperature and test humidity.

[0187] As an example, if the baseline thermal sensation index and the baseline humidity index in step 604 are determined according to formula (14) and formula (15), then after determining the N×K test thermal sensations in the mth test period, the average of the N×K test thermal sensations in the mth test period can also be determined as the mth test thermal sensation index; correspondingly, the average of the N×K test humidity in the mth test period can be determined as the mth test humidity index. That is, the mth test thermal sensation index and the mth test humidity index can be determined by the following formula:

[0188]

[0189] in, is the mth test thermal sensation index, is the i-th test temperature in the m-th test period, is the mth test humidity index, is the i-th test humidity in the m-th test period, K is the number of test temperatures and test humidity collected by each temperature and humidity sensor in each test period, N is the number of temperature and humidity sensors, and i is the sequence number of the test temperature and test humidity.

[0190] It should be noted that the above-listed methods for determining the test thermal sensation index and the test humidity index are only exemplary and cannot be regarded as limiting the present application. In actual use, the method for determining the test thermal sensation index and the test humidity index can be selected according to actual needs and specific application scenarios, and the present application embodiment does not limit this.

[0191] Step 606, determining the temperature and humidity comfort index according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index.

[0192] In an embodiment of the present application, the baseline thermal sensation index and the baseline humidity index can represent the comfort of the user when the user just wears the wearable device to be tested in the preset wearing scenario and the wearing feeling is relatively comfortable; and the test thermal sensation index and the test humidity index in each test period can represent the comfort of the user in the test period. Therefore, the greater the difference between the test thermal sensation index and the test period index and the baseline thermal sensation index and the baseline humidity index, the lower the wearing comfort of the wearable device to be tested in the preset wearing scenario; the smaller the difference between the test thermal sensation index and the test period index and the baseline thermal sensation index and the baseline humidity index, the higher the wearing comfort of the wearable device to be tested in the preset wearing scenario. Therefore, in an embodiment of the present application, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined according to the difference between the test thermal sensation index and the test period index in each test period and the baseline thermal sensation index and the baseline humidity index, so as to effectively integrate the comfort under different wearing times through the temperature and humidity comfort index, thereby further improving the accuracy and reliability of the wearing comfort test.

[0193] As a possible implementation method, during the wearing process of the wearable device, if the temperature and humidity at the wearing position change as the wearing time increases, the thermal sensation and somatic humidity felt by the human body will also change, and the thermal sensation and somatic humidity felt by the human body are directly related to the wearing comfort, and the thermal sensation change and humidity change in each test period can quantitatively reflect the changes in the thermal sensation and somatic humidity of the human body during the test period. Therefore, the temperature and humidity comfort index for measuring the wearing comfort can be determined according to the thermal sensation change and humidity change in each test period, so that the temperature and humidity comfort index can effectively characterize the comfort conditions such as thermal sensation and somatic humidity under different wearing times, so that the temperature and humidity comfort index can comprehensively evaluate the comfort under different wearing times, thereby further improving the accuracy and reliability of the wearing comfort test. That is, in a possible implementation method of the present application embodiment, the above step 606 may include:

[0194] Determine the thermal sensation change corresponding to the wearable device to be tested according to the difference between the M test thermal sensation indices and the baseline thermal sensation indices;

[0195] Determine the humidity change corresponding to the wearable device to be tested according to the difference between the M test humidity indicators and the baseline humidity indicator;

[0196] The temperature and humidity comfort index is determined based on the thermal sensation change and the humidity change.

[0197] As an example, the absolute values ​​of the thermal sensation differences between the M test thermal sensation indicators and the baseline thermal sensation indicators, as well as the absolute values ​​of the humidity differences between the M test humidity indicators and the baseline humidity indicators can be determined; the sum of the absolute values ​​of the M thermal sensation differences can be determined as the thermal sensation change during the formal test, and the sum of the absolute values ​​of the M humidity differences can be determined as the humidity change during the formal test; finally, the thermal sensation change and the humidity change can be weighted to determine the temperature and humidity comfort index corresponding to the wearable device to be tested. That is, the temperature and humidity comfort index corresponding to the wearable device to be tested can be determined by the following formula:

[0198]

[0199] in, is the change in thermal sensation, is the mth test thermal sensation index, is the baseline thermal sensation index, is the humidity change, is the mth test humidity index, is the baseline humidity index, M is the number of test periods, and m is the serial number of the test period; com is the temperature and humidity comfort index corresponding to the wearable device to be tested, q is the weight corresponding to the change in thermal sensation, p is the weight corresponding to the change in humidity, b is the correction parameter, and q, p, and b are all constants.

[0200] It should be noted that in actual use, the specific values ​​of q, p, and b can be determined according to actual needs and the importance of thermal sensation changes and humidity changes to comfort, and the embodiments of the present application do not limit this. As an example, the value of b can be 0.

[0201] It should be noted that after determining the temperature and humidity comfort index, the temperature and humidity comfort index can also be post-processed according to the method of the aforementioned embodiment, that is, other specific implementation processes after the above step 606, such as normalizing the temperature and humidity comfort index, determining the temperature and humidity comfort level according to the temperature and humidity comfort index, etc., can refer to the detailed description of the aforementioned embodiment and will not be repeated here.

[0202] The wearing comfort testing method for a wearable device provided in an embodiment of the present application converts temperature and humidity data into thermal sensation indices and humidity indices that can characterize human body comfort, and determines changes in human body comfort in each test period based on the difference between the test thermal sensation index and the baseline thermal sensation index in each test period, and the difference between the test humidity index and the baseline humidity index in each test period, so that the temperature and humidity comfort indices can comprehensively evaluate the comfort under different wearing times, thereby further improving the accuracy of wearing comfort.

[0203] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0204] Corresponding to the wearing comfort testing method of the wearable device described in the above embodiment, Figure 7 A structural block diagram of a wearing comfort testing device for a wearable device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0205] Reference Figure 7 The device 70 comprises:

[0206] A baseline test module 71 is used to obtain baseline data collected by at least one temperature and humidity sensor at a preset collection frequency during a baseline test of a wearable device to be tested worn by a test subject in a preset wearing scenario, wherein each temperature and humidity sensor is arranged at a wearing position of the wearable device to be tested, and the baseline data includes K baseline temperatures and K baseline humidity collected by each temperature and humidity sensor, where K is an integer greater than 1;

[0207] The formal test module 72 is used to obtain the test data collected by each temperature and humidity sensor at a preset collection frequency during the formal test of the wearable device to be tested in a preset wearing scenario, wherein the test data includes L test temperatures and L test humidity collected by each temperature and humidity sensor, the test duration of the formal test is greater than the test duration of the baseline test, and L is an integer greater than K;

[0208] The first determination module 73 is used to determine the temperature and humidity comfort index corresponding to the wearable device to be tested in a preset wearing scenario according to the difference between the test data and the baseline data.

[0209] The wearing comfort testing device of a wearable device provided in an embodiment of the present application arranges a temperature and humidity sensor at the wearing position of the wearable device of the test object to collect temperature and humidity data of the wearing position of the wearable device during the wearing process, and first performs a short baseline test on the wearable device to be tested in a preset wearing scenario to collect baseline data collected by each temperature and humidity sensor, and then performs a longer formal test on the wearable device to be tested in the preset wearing scenario to collect test data collected by each temperature and humidity sensor, and then measures the change in wearing comfort of the wearable device to be tested in the preset wearing scenario according to the difference between the test data and the baseline data, and then determines the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario. Therefore, by collecting temperature and humidity data of the wearing position through the temperature and humidity sensor while the test subject wears the wearable device to be tested, and then determining the temperature and humidity comfort index of the wearable device to be tested according to the temperature and humidity changes at the wearing position during the wearing process, the wearing comfort of the wearable device to be tested can be objectively measured through the temperature and humidity comfort index, thereby objectively and quantitatively testing the wearing comfort of the wearable device to be tested, thereby avoiding the influence of the subjective feelings of the test subject on the test results, and repeatedly verifying the same device, thereby improving the test accuracy of the wearing comfort of the wearable device.

[0210] In a possible implementation of the present application, the test duration of the formal test is M times the test duration of the baseline test, where M is an integer greater than 1; accordingly, the first determination module 73 includes:

[0211] A division unit, used to divide the test duration of the formal test into M test periods;

[0212] The determination unit is used to determine the temperature and humidity comfort index according to the difference between the test data obtained in each test period and the baseline data.

[0213] Furthermore, in another possible implementation of the present application, the above-mentioned determination unit is specifically used to:

[0214] Determine the baseline thermal sensation index and baseline humidity index corresponding to the wearable device to be tested in the preset wearing scenario according to the baseline data;

[0215] Determine the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested according to the test data obtained in the mth test period, where m is an integer greater than or equal to 1 and or equal to M;

[0216] The temperature and humidity comfort index is determined according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index.

[0217] Furthermore, in another possible implementation of the present application, the above-mentioned determination unit is further used to:

[0218] Determine the thermal sensation change corresponding to the wearable device to be tested according to the difference between the M test thermal sensation indices and the baseline thermal sensation indices;

[0219] Determine the humidity change corresponding to the wearable device to be tested according to the difference between the M test humidity indicators and the baseline humidity indicator;

[0220] The temperature and humidity comfort index is determined based on the thermal sensation change and the humidity change.

[0221] Further, in another possible implementation of the present application, the number of the temperature and humidity sensors is N, where N is an integer, and the baseline data includes N×K baseline temperatures and N×K baseline humidity; accordingly, the determination unit is further used to:

[0222] According to the i-th baseline temperature, the i-th baseline humidity and the conversion relationship between temperature and humidity and human thermal sensation, determine the i-th baseline thermal sensation, where i is an integer greater than or equal to 1 and less than or equal to N×K;

[0223] Determine a baseline thermal sensation index according to N×K baseline thermal sensations;

[0224] A baseline humidity index is determined based on the N×K baseline humidity values.

[0225] Further, in another possible implementation of the present application, the test data acquired during the test period includes N×K test temperatures and N×K test humidity; accordingly, the determination unit is further used to:

[0226] Determine the i-th test thermal sensation in the m-th test period according to the i-th test temperature, the i-th test humidity and the conversion relationship between temperature and humidity and human thermal sensation obtained in the m-th test period;

[0227] Determine the mth test thermal sensation index according to the N×K test thermal sensations in the mth test period;

[0228] The mth test humidity index is determined according to the N×K test humidity values ​​obtained in the mth test period.

[0229] Furthermore, in another possible implementation of the present application, the device 70 further includes:

[0230] The air sampling module is used to obtain the air sampling data collected by each temperature and humidity sensor when the test subject is not wearing the wearable device to be tested, wherein the air sampling data includes P air sampling temperatures and P air sampling humidity collected by each temperature and humidity sensor, wherein P is an integer greater than 1;

[0231] The judgment module is used to judge whether the operating status of each temperature and humidity sensor is stable according to the air sampling data collected by each temperature and humidity sensor.

[0232] Furthermore, in another possible implementation of the present application, the device 70 further includes:

[0233] The second determination module is used to determine the temperature and humidity comfort level corresponding to the wearable device to be tested in a preset wearing scenario according to the temperature and humidity comfort index and at least one comfort index threshold.

[0234] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0235] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0236] In order to implement the above embodiments, the present application also proposes an electronic device.

[0237] Figure 8 Schematic diagram of the hardware structure of an electronic device according to an embodiment of the present application. Figure 8 As shown, the electronic device 800 includes: at least one processor 810 ( Figure 8Only one is shown in the figure) a processor, a memory 820, and a computer program 830 stored in the memory 820 and executable on the at least one processor 810, and when the processor 810 executes the computer program 830, the steps in any one of the above methods are implemented.

[0238] Those skilled in the art will understand that Figure 8 These are merely examples of electronic devices and do not constitute a limitation on the electronic device. In practice, the electronic device may include more or fewer components than those shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0239] The processor 810 may be a central processing unit (CPU), other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0240] The memory 820 may be an internal storage unit of the electronic device 800 in some embodiments, such as a hard disk or memory of the electronic device 800. The memory 820 may also be an external storage device of the electronic device 800 in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 800. Optionally, the memory 820 may also include both an internal storage unit of the electronic device 800 and an external storage device. The memory 820 is used to store an operating system, an application program, a boot loader, data, and other programs, such as the program code of the computer program. The memory 820 may also be used to temporarily store data that has been output or is to be output.

[0241] Fig. 9 This is a schematic structural diagram of an electronic device according to another embodiment of the present application.

[0242] See also Fig. 9The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a button 190, a motor 191, an indicator 192, a camera 193, a display screen 194, and a subscriber identification module (SIM) card interface 195, etc. Among them, the sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, etc.

[0243] It is to be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0244] The processor 110 may include one or more processing units, for example, the processor 110 may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0245] The controller may be the nerve center and command center of the electronic device 100. The controller may generate an operation control signal according to the instruction operation code and the timing signal to complete the control of fetching and executing instructions.

[0246] The processor 110 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may store instructions or data that the processor 110 has just used or cyclically used. If the processor 110 needs to use the instruction or data again, it may be directly called from the memory. This avoids repeated access, reduces the waiting time of the processor 110, and thus improves the efficiency of the system.

[0247] In some embodiments, the processor 110 may include one or more interfaces, such as an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0248] It is understandable that the interface connection relationship between the modules illustrated in the embodiment of the present application is only a schematic illustration and does not constitute a structural limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

[0249] The wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.

[0250] Antenna 1 and antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve the utilization of the antennas.

[0251] The mobile communication module 150 can provide wireless communication solutions including 2G / 3G / 4G / 5G etc. applied on the electronic device 100 .

[0252] The wireless communication module 160 can provide wireless communication solutions applied to the electronic device 100, including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (IR), etc.

[0253] The electronic device 100 implements the display function through a GPU, a display screen 194, and an application processor. The GPU is a microprocessor for image processing, which connects the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The processor 110 may include one or more GPUs that execute program instructions to generate or change display information.

[0254] The display screen 194 is used to display images, videos, etc. The display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light emitting diode or an active-matrix organic light emitting diode (AMOLED), a flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, a quantum dot light-emitting diode (QLED), etc. In some embodiments, the electronic device 100 may include 1 or N display screens 194, where N is an integer greater than 1.

[0255] NPU is a neural network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transmission mode between neurons in the human brain, it can quickly process input information and can also continuously self-learn. Through NPU, applications such as intelligent cognition of the electronic device 100 can be realized, such as image recognition, face recognition, voice recognition, text understanding, etc.

[0256] The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to implement a data storage function, such as storing music, video and other files in the external memory card.

[0257] The internal memory 121 can be used to store computer executable program codes, which include instructions. The processor 110 executes various functional applications and data processing of the electronic device 100 by running the instructions stored in the internal memory 121. The internal memory 121 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc. The data storage area may store data created by the electronic device 100 during use (such as audio data, a phone book, etc.), etc. In addition, the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0258] The electronic device 100 can implement audio functions, such as music playback, recording, etc., through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D and the application processor.

[0259] The key 190 includes a power key, a volume key, etc. The key 190 may be a mechanical key or a touch key. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100.

[0260] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access, or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0261] It should be noted that the implementation process and technical principles of the electronic device of this embodiment refer to the aforementioned explanation of the wearing comfort testing method of the wearable device of the embodiment of the present application, and will not be repeated here.

[0262] An embodiment of the present application also provides a chip system, which is applied to an electronic device. The chip system includes one or more processors, and the one or more processors are used to call computer instructions so that the electronic device implements the steps in the above-mentioned method embodiments.

[0263] An embodiment of the present application further provides a computer-readable storage medium, which includes instructions. When the instructions are executed on an electronic device, the electronic device implements the steps in the above-mentioned method embodiments.

[0264] An embodiment of the present application further provides a computer program product, including a computer program. When the computer program runs on an electronic device, the electronic device implements the steps in the above-mentioned method embodiments.

[0265] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the device / electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0266] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0267] In the above-described embodiments, specific details such as specific system structures, technologies, etc. are provided for illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0268] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0269] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0270] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0271] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0272] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the sentences "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0273] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0274] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0275] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0276] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A wearing comfort test method for a wearable device, characterized in that: include: In the process of performing a baseline test on a wearable device to be tested worn by a test subject in a preset wearing scenario, baseline data collected by at least one temperature and humidity sensor is obtained at a preset collection frequency, wherein each of the temperature and humidity sensors is arranged at the wearing position of the wearable device to be tested, and the baseline data includes K baseline temperatures and K baseline humidity collected by each of the temperature and humidity sensors, where K is an integer greater than 1; In the process of formally testing the wearable device to be tested in the preset wearing scenario, the test data collected by each of the temperature and humidity sensors is obtained at the preset collection frequency, wherein the test data includes L test temperatures and L test humidity collected by each of the temperature and humidity sensors, and the test duration of the formal test is M times the test duration of the baseline test, where M is an integer greater than 1, and L is an integer greater than K; Divide the test duration of the formal test into M test periods; According to the differences between the test data obtained in each of the test time periods and the baseline data, the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario is determined.

2. The method according to claim 1, characterized in that The step of determining the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario according to the difference between the test data obtained in each test period and the baseline data includes: Determining, according to the baseline data, a baseline thermal sensation index and a baseline humidity index corresponding to the wearable device to be tested in the preset wearing scenario; Determine, according to the test data acquired in the mth test period, an mth test thermal sensation index and an mth test humidity index corresponding to the wearable device to be tested, wherein m is an integer greater than or equal to 1 and or equal to M; The temperature and humidity comfort index is determined based on the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index.

3. The method according to claim 2, characterized in that Determining the temperature and humidity comfort index according to the differences between the M test thermal sensation indices and the baseline thermal sensation index, and the differences between the M test humidity indices and the baseline humidity index, comprises: Determining a thermal sensation change amount corresponding to the wearable device to be tested according to differences between the M test thermal sensation indices and the baseline thermal sensation index; Determining a humidity change corresponding to the wearable device to be tested according to a difference between the M test humidity indicators and the baseline humidity indicator; The temperature and humidity comfort index is determined according to the thermal sensation change and the humidity change.

4. The method according to claim 2 or 3, characterized in that The number of the temperature and humidity sensors is N, where N is an integer. The baseline data includes N×K baseline temperatures and N×K baseline humidity. Determining, according to the baseline data, a baseline thermal sensation index and a baseline humidity index corresponding to the wearable device to be tested in the preset wearing scenario includes: Determine the ith baseline thermal sensation according to the ith baseline temperature, the ith baseline humidity, and the conversion relationship between temperature and humidity and human thermal sensation, where i is an integer greater than or equal to 1 and less than or equal to N×K; Determining the baseline thermal sensation index according to the N×K baseline thermal sensations; The baseline humidity index is determined according to the N×K baseline humiditys.

5. The method according to claim 4, characterized in that The test data obtained in each test period includes N×K test temperatures and N×K test humidity. The determining, based on the test data obtained in the mth test period, the mth test thermal sensation index and the mth test humidity index corresponding to the wearable device to be tested includes: Determine the i-th test thermal sensation in the m-th test period according to the i-th test temperature, the i-th test humidity and the conversion relationship between the temperature and humidity and the thermal sensation of the human body obtained in the m-th test period; Determining the mth test thermal sensation index according to the N×K test thermal sensations in the mth test period; Determine the mth test humidity index according to the N×K test humidity values ​​obtained in the mth test period.

6. The method according to any one of claims 1 to 3 or 5, characterized in that: In the process of performing a baseline test on the wearable device to be tested worn by the test subject in the preset wearing scenario, before acquiring baseline data collected by at least one temperature and humidity sensor at a preset collection frequency, the method further includes: When the test subject is not wearing the wearable device to be tested, obtaining the air sampling data collected by each of the temperature and humidity sensors, wherein the air sampling data includes P air sampling temperatures and P air sampling humidity collected by each of the temperature and humidity sensors, wherein P is an integer greater than 1; According to the air sampling data collected by each of the temperature and humidity sensors, it is judged whether the operating status of each of the temperature and humidity sensors is stable.

7. The method according to any one of claims 1 to 3 or 5, characterized in that: After determining the temperature and humidity comfort index corresponding to the wearable device to be tested in the preset wearing scenario according to the difference between the test data obtained in each test period and the baseline data, the method further includes: According to the temperature and humidity comfort index and at least one comfort index threshold, determine the temperature and humidity comfort level corresponding to the wearable device to be tested in the preset wearing scenario.

8. An electronic device, characterized in that: The electronic device includes: one or more processors, and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method as described in any one of claims 1-7.

9. A chip system, characterized in that: The chip system is applied to an electronic device, and the chip system includes one or more processors, and the one or more processors are used to call computer instructions so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes instructions, and when the instructions are executed on an electronic device, the electronic device executes the method according to any one of claims 1 to 7.

11. A computer program product, characterized in that The invention comprises a computer program, which, when being executed on an electronic device, enables the electronic device to execute the method according to any one of claims 1 to 7.

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