CN116705308A - Method for measuring vital signs and wearable device - Google Patents
Method for measuring vital signs and wearable device Download PDFInfo
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Abstract
The application provides a vital sign measuring method and wearable equipment, which are used for measuring the physical stamina of a user, and reflecting the heart and lung endurance condition of the user through the physical stamina, so that the vital sign measuring method and the wearable equipment are convenient for the user to understand and are beneficial to guiding the user to improve the physical stamina by continuously moving to promote the health level. The method provided by the application comprises the following steps: the wearable device displays a first interface, the first interface displaying an ability age option; the wearable device responds to triggering operation of the user on the physical ability and age options, a second interface is displayed, the second interface comprises basic information of the user and a confirmation control, the basic information of the user comprises gender of the user and age of the user, and the confirmation control is used for confirming the basic information of the user; the wearable device responds to the operation of the user on the confirmation control, and a third interface is displayed, wherein the third interface comprises a movement duration and a movement project so as to instruct the user to perform physical ability test; the wearable device detects that the physical ability test is finished, and displays the physical ability age of the user.
Description
Technical Field
The application relates to the technical field of terminals, in particular to a vital sign measurement method and wearable equipment.
Background
With the development of terminal technology, wearable devices have become part of people's work and life. In order to meet the needs of users for scientific exercise training and health monitoring, more wearable devices can detect vital signs of users for scientific exercise guidance. For example, a user may utilize a smart watch or the like to measure athletic data such as walking and running of the user, and may also monitor health data such as heart rate of the user during the athletic activity.
Currently, the wearable device mostly uses the maximum oxygen uptake as an evaluation index when evaluating the heart-lung endurance of the user. However, the concept of maximum oxygen uptake is not generally understood by the user, nor is the meaning of maximum oxygen uptake representation familiar, so that the maximum oxygen uptake displayed by the wearable device cannot be effectively guided by the user.
Disclosure of Invention
The application provides a vital sign measuring method and wearable equipment, which are convenient for a user to understand by using physical stamina to reflect the heart and lung endurance condition of the user, and are beneficial to guiding the user to improve the physical stamina by continuously moving to improve the health level.
In a first aspect, a method for measuring vital signs is provided, comprising: the wearable device displays a first interface, the first interface displaying an ability age option; the wearable device responds to triggering operation of the user on the physical ability and age options, a second interface is displayed, the second interface comprises basic information of the user and a confirmation control, the basic information of the user comprises gender of the user and age of the user, and the confirmation control is used for confirming the basic information of the user; the wearable device responds to the operation of the user on the confirmation control, and a third interface is displayed, wherein the third interface comprises a movement duration and a movement project so as to instruct the user to perform physical ability test; the wearable device detects that the physical ability test is finished, and displays the physical ability age of the user.
The wearable device displays the physical ability age option through the first interface so that the user can test the physical ability age to know the heart and lung endurance condition of the user. The first interface may further include at least one option including a physical ability and age option, and other options in the first interface are not limited in the embodiment of the present application. If the wearable device detects the triggering operation of the physical ability and age options by the user, the second interface can be displayed in response to the triggering operation of the physical ability and age options by the user. The second interface may also be referred to as an information confirmation interface, which is not limited in this embodiment of the present application, after the second interface includes the basic information of the user, so that the user can confirm the basic information. The basic information of the user includes the sex and age of the user, and may also include the weight and height of the user, which is not limited in the embodiment of the present application. The second interface also displays a confirmation control for confirming the basic information of the user. The second interface may also include a cancel control to facilitate no subsequent operations. If the wearable device detects the operation of the user on the cancel control, the first interface can be displayed in response to the operation of the user on the cancel control.
If the wearable device detects the operation of the user on the confirmation control, a third interface is displayed in response to the operation of the user on the confirmation control, and the third interface comprises the movement duration and the movement project so as to instruct the user to perform the physical ability test. The exercise duration may be 25 minutes or 30 minutes, and the exercise item may be running, which is not limited in the embodiment of the present application. If the wearable device detects that the user completes the physical ability test, the physical ability age of the user can be calculated and displayed based on data generated by the user in the physical ability test process.
Illustratively, in the example shown in fig. 1 in the specific embodiment, the interface a in fig. 1 is used to represent the first interface, the interface c in fig. 1 is used to represent the second interface, the interface d in fig. 1 is used to represent the third interface, and the interface e in fig. 1 is used to display the physical ability age of the user.
Optionally, before the wearable device performs the physical ability test on the user, the wearable device may further determine whether a historical physical ability age is stored, and if the historical physical ability age is not stored, display a second interface; if the historical physical stamina is stored, the historical physical stamina can be displayed first, and then the second interface is displayed.
According to the vital sign measuring method, the physical energy and age options are displayed on the first interface, so that a user can conveniently find or see the physical energy and age options, and the user can conveniently test the vital sign measuring method; responding to the triggering operation of the user on the physical ability and age options, displaying a second interface so as to facilitate the user to confirm the basic information, avoiding inaccurate physical ability and age measurement caused by incorrect basic information of the user, and being beneficial to improving the accuracy of physical ability and age measurement; responding to the operation of the user on the confirmation control, displaying a third interface to instruct the user to perform physical testing, and measuring the physical age of the user through the physical testing, so that the real-time performance is higher, and the accuracy is higher; and after the physical ability test is detected, the physical ability age of the user is displayed, the physical ability age is used for reflecting the heart and lung endurance condition of the user, instead of displaying the maximum oxygen uptake, so that the user can understand conveniently, and the user can be guided to improve the physical ability age by continuously exercising to improve the health level.
With reference to the first aspect, in certain implementations of the first aspect, before the wearable device displays the second interface, the method further includes: the wearable device responds to triggering operation of the user on the physical ability age option, a fourth interface is displayed, the fourth interface comprises a first control and a second control, the first control is used for indicating to measure the physical ability age based on the physical ability test, and the second control is used for indicating to measure the physical ability age based on historical motion data of the user; the wearable device responds to triggering operation of the user on the first control, and a second interface is displayed; and the wearable device responds to the triggering operation of the user on the second control, and displays the physical ability age of the user.
The present application provides two ways to measure the physical stamina of a user. The first way to measure the physical fitness age is through the physical fitness test described above, and the other way to measure the physical fitness age is through historical exercise data of the user. The application supports the mode of selecting and measuring the physical ability age based on the requirement by the user. The application provides a fourth interface, wherein a first control and a second control are displayed on the fourth interface, the first control is used for indicating to measure the physical stamina based on physical testing, and the second control is used for indicating to measure the physical stamina based on historical motion data of a user. If the user clicks the first control, a mode of measuring the physical ability age based on the physical ability test is selected, and if the user clicks the second control, a mode of measuring the physical ability age through historical motion data of the user is selected.
The fourth interface is displayed after the user triggers the physical ability and age option, and if the user clicks the first control, the wearable device responds to the triggering operation of the user on the first control and displays the second interface; if the user clicks the second control, the wearable device responds to the triggering operation of the user on the second control, acquires the historical motion data of the user, calculates the physical ability age of the user and displays the physical ability age.
Illustratively, in the example shown in fig. 1 in the specific embodiment, the interface b in fig. 1 is used to represent the fourth interface, the control for measuring the physical stamina through the physical stamina test is used to represent the first control, and the control for measuring the physical stamina through the historical motion data is used to represent the second control. If the user clicks the first control, the wearable device responds to the triggering operation of the user on the first control, the c interface in fig. 1 is displayed, and if the user clicks the second control, the wearable device responds to the triggering operation of the user on the second control, and the e interface in fig. 1 is displayed.
The vital sign measuring method provided by the application provides two ways for measuring physical stamina and age, can be suitable for scenes of convenient and inconvenient movement of a user to cover various scenes, and has stronger flexibility.
Optionally, if the user clicks the second control, the wearable device may determine whether the historical motion data of the user supports physical ability and age measurement in response to a triggering operation of the user on the second control; and if the historical movement data of the user supports the physical ability age measurement, acquiring the historical movement data of the user, calculating the physical ability age of the user and displaying the physical ability age.
For example, the wearable device may measure the physical ability age of the user based on the method 500 shown in fig. 5 in particular embodiments.
According to the vital sign measurement method provided by the application, the physical ability age of the user is calculated based on the historical motion data of the user, special physical ability training is not needed by the user, the physical ability age can be rapidly displayed based on the historical motion data, the method can be applied to any scene, and the flexibility is higher.
With reference to the first aspect, in certain implementations of the first aspect, before displaying the physical stamina age of the user, the method further includes: the wearable device calculates the maximum oxygen uptake of the user; the wearable device inputs the maximum oxygen uptake, the gender of the user, the age of the user and first data into a first model to obtain the physical ability age of the user, the first model is used for calculating the input data to output the physical ability age, the first data comprises middle-high strength duration of the user movement in a first preset duration and/or historical physical ability age measured by the user in a second preset duration, the middle-high strength duration of the user movement comprises the sum of durations that the heart rate of the user is greater than a first value in the first preset duration, and/or the sum of durations that the step frequency of the user is greater than a second value in the first preset duration.
If the user chooses to measure the physical fitness age based on the physical fitness test, the wearable device may calculate the user's maximum oxygen uptake (vo 2 max) based on the data the user generated at the time of the physical fitness test. If the user chooses to measure the physical stamina based on the historical movement data, the wearable device may calculate the maximum oxygen uptake of the user based on the user's historical movement data. The embodiment of the application does not limit the specific data and the specific calculation mode for calculating the maximum oxygen uptake. For example, the wearable device may calculate the maximum oxygen uptake based on heart rate data, stride frequency data, pace data, motion state, etc., generated by the user during the motion. The wearable device increases the data of the age, sex, height, weight and the like of the user to assist in obtaining the maximum oxygen uptake so as to ensure the accuracy of the maximum oxygen uptake.
The wearable device may also obtain the gender of the user, the age of the user, and the first data. The first data includes a middle-high intensity duration of the user's exercise within a first preset duration, which may be three days or seven days, etc., or a historical physical ability age measured by the user within a second preset duration, which may be half month or one month, etc.
If the first preset duration is seven days, the middle-high intensity duration of the user movement in the first preset duration comprises the sum of durations of which the heart rate is greater than a first value when the user moves in the last seven days, and/or the sum of durations of which the step frequency is greater than a second value in the seven days. The first value may be sixty-four percent or sixty percent of the user's heart rate maximum (typically 220 minus the user's true age) and the second value may be 110 or 100, as embodiments of the application are not limited in this regard.
If the second preset duration is one month, the historical physical energy age measured by the user in the second preset duration comprises the physical energy age measured by the user in the last month.
Illustratively, if the user measured 5 physical stamina ages in one month, the historical physical stamina ages measured by the user for the second preset time period includes the physical stamina age values measured by the 5 times.
The input of the first model may be the maximum oxygen intake, the gender of the user, the age of the user, and the middle-high intensity duration of the user movement in the first preset duration, or the maximum oxygen intake, the gender of the user, the age of the user, and the historical physical energy age measured by the user in the second preset duration, or the maximum oxygen intake, the gender of the user, the age of the user, the middle-high intensity duration of the user movement in the first preset duration, and the historical physical energy age measured by the user in the second preset duration, which is not limited in the embodiment of the present application.
The vital sign measurement mode provided by the application calculates the physical ability age based on the maximum oxygen uptake, the gender of the user, the age of the user and the middle-high strength time length of the user movement in the first preset time length and/or the historical physical ability age measured by the user in the second preset time length, is beneficial to dividing the intervals of people of different age groups under different sexes, maps the user to different age groups under different sexes, is beneficial to accurately identifying the physical ability age of the user, and can also adjust the physical ability age based on the middle-high strength time length of the user movement in the first preset time length and/or the historical physical ability age measured by the user in the second preset time length, so that the physical ability age measured for multiple times is smooth, the phenomenon of jump generation is avoided, and the calculation accuracy of the physical ability age is beneficial to improvement.
With reference to the first aspect, in certain implementations of the first aspect, the historical physical fitness age measured by the user within the second preset time period includes a maximum value of the physical fitness age measured by the user within the second preset time period, a minimum value of the physical fitness age measured by the user within the second preset time period, and the physical fitness age measured by the last user.
The historical physical energy age measured by the user in the second preset time period comprises all physical energy age values measured by the user in the second preset time period, and in order to improve the calculation efficiency, the historical physical energy age measured by the user in the second preset time period can comprise the maximum value of the physical energy age measured by the user in the second preset time period, the minimum value of the physical energy age measured by the user in the second preset time period and the physical energy age measured by the user last time, and the calculation efficiency is improved by reducing the parameter values.
The physical stamina age measured by the user last time can also be replaced by the average value, the median or the mode of the physical stamina age measured by the user in the second preset time period, which is not limited in the embodiment of the application.
The physical ability age value of the user output by the wearable device can be in the maximum value and minimum value range, and the difference between the physical ability age value and the average value, the median or the mode of the physical ability age measured by the previous user is small, so that the physical ability age measured for many times is smooth, the jump phenomenon is avoided, and the calculation accuracy of the physical ability age is improved.
According to the vital sign measurement mode provided by the application, the physical ability age is calculated through the maximum oxygen uptake, the gender of the user, the age of the user, (the middle-high intensity duration of the movement of the user in the first preset duration), the maximum physical ability age measured by the user in the second preset duration, the minimum physical ability age measured by the user in the second preset duration and the physical ability age measured by the user last time, so that the physical ability age measured for multiple times is smooth, the jump phenomenon is avoided, the calculation accuracy of the physical ability age is improved, the parameter value is reduced, and the calculation efficiency is improved.
As an alternative embodiment, the method further comprises: if the physical ability age of the user is not the preset age, displaying a first incentive page; if the physical ability age of the user is the preset age and is different from the age in the basic information of the user, displaying a second incentive page; and if the physical ability age of the user is the preset age and is the same as the age in the basic information of the user, displaying the physical ability age of the user.
The preset age may be an age reflecting good or excellent cardiopulmonary ability of the user, for example 18 years. If the physical ability age of the user is not the preset age, it can be stated that the cardiopulmonary ability of the user needs to be improved, and the wearable device displays a first incentive page to motivate the user to improve the cardiopulmonary ability.
If the physical ability age of the user is the preset age and is different from the age in the user basic information, the state of the cardiopulmonary ability of the user can be indicated to be kept good, and the wearable device displays a second incentive page to motivate the user to keep the cardiopulmonary ability.
If the physical ability age of the user is the preset age and is the same as the age in the user basic information, the state of the cardiopulmonary ability of the user can be indicated to be consistent with the age, and the wearable device displays the physical ability age of the user.
For example, the wearable device may stimulate the user based on the method 600 in the specific embodiment, in the method 600, the preset age is 18 years, the first stimulated page is the stimulated page a, and the second stimulated page is the stimulated page B.
In this implementation, when the physical ability age of the user is not the preset age, a first incentive page may be displayed to encourage the user to improve the physical ability age by increasing the health level through continuous exercise, and when the physical ability age of the user is the preset age and is different from the true age of the user, a second incentive page may be displayed to encourage the user to maintain the physical ability age, may encourage the user under different circumstances, and is beneficial to increasing the exercise enthusiasm of the user, thereby increasing the cardiopulmonary ability of the user.
With reference to the first aspect, in certain implementations of the first aspect, the gender of the user, the age of the user, and the first data are sent by the terminal device when the wearable device is in a connected state with the terminal device; the method further comprises the steps of: the wearable device generates a physical fitness age measurement record comprising a physical fitness age of the user and a measurement time of the physical fitness age of the user; if the wearable device and the terminal device are in a connection state, the wearable device sends a physical ability age measurement record to the terminal device for updating the first data; the wearable device receives updated first data from the terminal device. The wearable device may pair with the terminal device to be in a connected state and communicate through bluetooth. The gender of the user, the age of the user, and the first data may all be sent by the terminal device when the wearable device is in a connected state with the terminal device.
After the wearable device tests the physical stamina, a physical stamina measurement record can be generated, the physical stamina measurement record including the physical stamina of the user and the measurement time of the physical stamina of the user. At this time, if the wearable device is in a connection state with the terminal device, the wearable device may send the physical ability age measurement record to the terminal device for updating the first data. After the terminal equipment is updated, the updated first data can be sent to the wearable equipment, so that the wearable equipment can measure the physical ability age of the user based on the updated first data when measuring next time.
Illustratively, the wearable device and the terminal device may update the data based on the method 700 in particular embodiments.
According to the vital sign measurement mode provided by the application, after the physical stamina is measured each time, if the wearable device is in a connection state with the terminal device, the wearable device sends the physical stamina measurement record to the terminal device to update the data of the terminal side, so that the terminal can store the latest data, the wearable device receives the updated data, the data between the two devices are identical, and the accuracy of the physical stamina can be prevented from being influenced by data loss.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: if the wearable device and the terminal device are not in a connection state, the wearable device updates the first data based on the physical ability and age measurement record; the wearable device saves the updated first data.
After the wearable device generates the physical ability age measurement record, if the wearable device and the terminal device are not in a connection state, the wearable device updates the first data based on the physical ability age measurement record so as to use the updated data to measure the physical ability age next time.
According to the vital sign measurement mode provided by the application, if the wearable device and the terminal device are not in a connection state, the wearable device can update the first data automatically based on the physical ability and age measurement record and store the updated data, so that the data loss can be avoided to influence the accuracy of measuring the physical ability and age later.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the wearable device establishes connection with the terminal device; the wearable device sends updated first data to the terminal device so as to update second data stored by the terminal device; the wearable device receives updated second data from the terminal device.
The wearable device may store one or more physical ability and age measurement records during disconnection from the terminal device, and if the second data stored on the terminal device side cannot meet the requirement, after reconnecting the wearable device to the terminal device, the wearable device may send updated first data to the terminal device to update the second data stored on the terminal device, and receive the updated second data, so as to facilitate subsequent measurement.
Optionally, the wearable device may further receive basic information of the user sent by the terminal device, so as to avoid that the user changes the basic information to affect the accuracy of measurement of the subsequent physical ability age.
According to the vital sign measurement mode provided by the application, after the wearable equipment is reconnected with the terminal equipment, the stored vital sign measurement related to the physical ability and age measurement can be updated in time, so that the measurement accuracy of the subsequent physical ability and age can be ensured.
With reference to the first aspect, in certain implementation manners of the first aspect, before the wearable device sends the updated second data to the terminal device, the method further includes: the wearable device receives a first query instruction of the terminal device, wherein the first query instruction is used for querying whether the wearable device supports a measuring function of physical ability age; the wearable device sends a first response message to the terminal device, wherein the first response message is used for indicating that the wearable device supports a measuring function of the physical ability age.
Before the wearable device sends the updated first data to the terminal device, the terminal device needs to determine whether the wearable device has the physical ability age measurement function, and the wearable device can receive the updated second data only when the wearable device has the physical ability age measurement function.
The wearable device receives the first query instruction of the terminal device, can determine whether the wearable device has the function of measuring the physical ability age based on the first query instruction, and if the wearable device has the function of measuring the physical ability age, sends a first response message to the terminal device to indicate that the measurement function of the physical ability age is supported.
For example, the wearable device and the terminal device may perform the function query based on the method 800 shown in fig. 8 in a specific embodiment.
According to the vital sign measurement mode provided by the application, under the condition of having the physical ability and age measurement function, updated second data is received, so that the condition of information synchronization errors is avoided.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: in the physical performance testing process of the user, a fifth interface is displayed, wherein the fifth interface comprises the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user, and the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user all change along with the movement of the user.
In the physical ability test process of the user, the application can also calculate the fat consumption condition of the user in real time so as to facilitate the user to know the exercise effect.
During performance testing by the user, the wearable device may display a fifth interface including the user's fat burning rate, the user's accumulated fat, and the user's first fat duty cycle. Wherein the fat burning rate of the user represents the real-time fat burning rate during the exercise of the user, the accumulated fat of the user represents the real-time fat consumption during the exercise of the user, and the first fat ratio of the user represents the ratio of the real-time fat consumption during the exercise of the user to the current total heat consumption (total calories consumed).
Illustratively, in the example shown in fig. 10 in a specific embodiment, the interface a in fig. 10 is used to represent the fifth interface described above.
According to the vital sign measurement mode provided by the application, in the exercise process, the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user are displayed in real time, so that the user can know the fat consumption in real time, and the exercise intensity can be reasonably controlled.
With reference to the first aspect, in certain implementations of the first aspect, before displaying the fifth interface, the method further includes: the wearable device obtains heart rate, step frequency and speed matching of a user in the physical ability testing process of the user; the wearable equipment determines the fat burning proportion based on the heart rate, the step frequency and the matching speed of the user; the wearable device determines the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user based on the fat burning proportion, wherein the accumulated fat of the user is in grams, and the fat burning rate of the user is in kilocalories per minute; wherein the first fat ratio of the user is equal to the fat burning ratio; the fat burning ratio is multiplied by the calories burned per second and divided by 9 equals the user's cumulative fat; the fat burning ratio is multiplied by the calories consumed per second and then by 12, which is equal to the user's fat burning rate.
In the physical ability testing process of the user, the wearable device can periodically acquire signals of an acceleration sensor, a gyroscope sensor global positioning system (global positioning system, GPS) sensor and a photoplethysmography (photo plethysmo graphy, PPG) module so as to calculate the heart rate, the step frequency and the matching speed of the user, and determine the fuel fat ratio based on the heart rate, the step frequency and the matching speed of the user. The wearable device may determine a fat burning rate of the user, a cumulative fat of the user, and a first fat duty cycle of the user based on the fat burning ratio.
The conversion relation of the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user to the fat burning ratio is as follows:
the first fat ratio of the user is equal to the fat burning ratio; the fat burning ratio is multiplied by the calories burned per second and divided by 9 equals the user's cumulative fat; the fat burning ratio is multiplied by the calories consumed per second and then by 12, which is equal to the user's fat burning rate. Wherein calories consumed per second may also be referred to as calories per second, as the present application is not limited in this regard.
According to the vital sign measurement mode provided by the application, the fat burning rate of the user, the accumulated fat of the user and the first fat duty ratio of the user are calculated in real time based on the fat burning proportion, so that the fat burning rate and the first fat duty ratio of the user can be effectively and accurately calculated, the user can know the fat consumption in real time, and the exercise intensity can be reasonably controlled.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the wearable device detects that the fitness test is finished, and displays a sixth interface including the fat burning heat of the user, the second fat duty cycle of the user, and the fat estimated weight of the user.
The wearable device detects that the physical ability test is finished, and a sixth interface is displayed to summarize the fat consumption of the whole exercise process of the user, so that the user can know the fat consumption in the whole exercise process conveniently. The sixth interface includes a fat burning heat of the user, the fat burning heat being indicative of the fat burning heat of the user throughout the exercise, a second fat duty cycle being indicative of a ratio of fat consumed by the user to total heat consumed (i.e., total calories consumed) throughout the exercise, and a fat estimated weight of the user, the fat estimated weight being indicative of a total amount of fat consumed by the user throughout the exercise.
Illustratively, in the example shown in fig. 10 in a specific embodiment, the b interface in fig. 10 is used to represent the sixth interface described above.
According to the vital sign measurement mode provided by the application, after the exercise is finished, the fat burning heat, the second fat ratio and the fat estimated weight of the user in the whole exercise process are displayed, so that the user can know the fat consumption in the whole exercise process, and the exercise intensity can be reasonably controlled.
With reference to the first aspect, in certain implementations of the first aspect, before displaying the sixth interface, the method further includes: the wearable device determines a fat burning heat of the user, a second fat duty cycle of the user, and a fat estimated weight of the user based on the fat burning rate of the user; wherein the sum of the fat burning rates of the user during the movement time of the user is equal to the fat burning heat of the user; the fat burning heat of the user divided by the calories consumed by the user during exercise equals the user's second fat duty cycle; the heat of fat burning of the user divided by 9 is equal to the estimated weight of fat of the user.
The wearable device may determine, based on the fat burning rate of the user, a fat burning amount of the user, a second fat duty cycle of the user, and a fat estimated weight of the user, wherein the fat burning amount of the user, the second fat duty cycle of the user, and the fat estimated weight of the user are in a conversion relationship with the fat burning rate of the user as follows:
the sum of the fat burning rates of the user during the movement time of the user is equal to the fat burning heat of the user; the fat burning heat of the user divided by the calories consumed by the user during exercise equals the user's second fat duty cycle; the heat of fat burning of the user divided by 9 is equal to the estimated weight of fat of the user. Wherein the calories consumed by the user during exercise may also be referred to as total calories.
According to the vital sign measurement mode provided by the application, after the exercise is finished, the fat burning heat, the second fat ratio and the fat estimated weight of the user in the whole exercise process are calculated based on the fat burning rate, so that the user can know the fat consumption in the whole exercise process, and the exercise intensity is reasonably controlled.
In a second aspect, there is provided a wearable device comprising: and the display module and the processing module. Wherein, the display module is used for: displaying a first interface, wherein the first interface displays physical ability age options; responding to the triggering operation of the user on the physical ability and age options, displaying a second interface, wherein the second interface comprises basic information of the user and a confirmation control, the basic information of the user comprises the gender of the user and the age of the user, and the confirmation control is used for confirming the basic information of the user; responding to the operation of the user on the confirmation control, and displaying a third interface, wherein the third interface comprises a movement duration and a movement project to instruct the user to perform physical performance test; the processing module is used for: detecting that the physical ability test is finished; the display module is also used for: the physical stamina age of the user is displayed.
With reference to the second aspect, in certain implementations of the second aspect, the display module is further configured to: responding to the triggering operation of the user on the physical ability age option, displaying a fourth interface, wherein the fourth interface comprises a first control and a second control, the first control is used for indicating to measure the physical ability age based on the physical ability test, and the second control is used for indicating to measure the physical ability age based on the historical motion data of the user; responding to the triggering operation of the user on the first control, and displaying a second interface; and responding to the triggering operation of the user on the second control, and displaying the physical ability age of the user.
With reference to the second aspect, in certain implementations of the second aspect, the processing module is further configured to: calculating the maximum oxygen uptake of a user; inputting the maximum oxygen uptake, the gender of the user, the age of the user and first data into a first model to obtain the physical ability age of the user, wherein the first model is used for calculating the input data to output the physical ability age, the first data comprises the middle-high strength duration of the user movement in a first preset duration and/or the historical physical ability age measured by the user in a second preset duration, the middle-high strength duration of the user movement comprises the sum of durations of the heart rate of the user in the first preset duration being greater than a first value, and/or the sum of durations of the step frequency of the user in the first preset duration being greater than a second value.
With reference to the second aspect, in some implementations of the second aspect, the historical physical energy age measured by the user for the second preset time period includes a maximum value of the physical energy age measured by the user for the second preset time period, a minimum value of the physical energy age measured by the user for the second preset time period, and a physical energy age measured by the last user.
With reference to the second aspect, in certain implementations of the second aspect, the wearable device further includes a transceiver module. The gender of the user, the age of the user and the first data are transmitted by the terminal equipment when the terminal equipment is in a connection state; the processing module is also used for: generating a physical fitness age measurement record comprising a physical fitness age of the user and a measurement time of the physical fitness age of the user; the transceiver module is used for: if the physical fitness age measurement record is in a connection state with the terminal equipment, sending the physical fitness age measurement record to the terminal equipment for updating the first data; updated first data from the terminal device is received.
With reference to the second aspect, in certain implementations of the second aspect, the processing module is further configured to: if the first data is not in a connection state with the terminal equipment, updating the first data based on the physical ability and age measurement record; and saving the updated first data.
With reference to the second aspect, in certain implementations of the second aspect, the wearable device further includes a communication module and a transceiver module. The communication module is used for: establishing connection with terminal equipment; the transceiver module is used for: the updated first data is sent to the terminal equipment so as to be used for updating the second data stored in the terminal equipment; and receiving updated second data from the terminal equipment.
With reference to the second aspect, in certain implementations of the second aspect, the wearable device further includes a transceiver module. The transceiver module is used for: receiving a first query instruction of the terminal equipment, wherein the first query instruction is used for querying whether a measuring function of the physical ability age is supported or not; and sending a first response message to the terminal equipment, wherein the first response message is used for indicating the support of the measuring function of the physical ability age.
With reference to the second aspect, in certain implementations of the second aspect, the display module is further configured to: in the physical performance testing process of the user, a fifth interface is displayed, wherein the fifth interface comprises the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user, and the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user all change along with the movement of the user.
With reference to the second aspect, in certain implementations of the second aspect, the processing module is further configured to: acquiring heart rate, step frequency and speed matching of a user in the physical ability test process of the user; determining a fuel ratio based on the heart rate, the step frequency and the matching speed of the user; determining a fat burning rate of the user, accumulated fat of the user and a first fat ratio of the user based on the fat burning proportion, wherein the accumulated fat of the user is in grams, and the fat burning rate of the user is in kilocalories per minute; wherein the first fat ratio of the user is equal to the fat burning ratio; the fat burning ratio is multiplied by the calories burned per second and divided by 9 equals the user's cumulative fat; the fat burning ratio is multiplied by the calories consumed per second and then by 12, which is equal to the user's fat burning rate.
With reference to the second aspect, in certain implementations of the second aspect, the processing module is further configured to: detecting that the physical ability test is finished; the display module is also used for: a sixth interface is displayed, the sixth interface including the fat burning heat of the user, the second fat duty cycle of the user, and the estimated weight of the fat of the user.
With reference to the second aspect, in certain implementations of the second aspect, the processing module is further configured to: determining a fat heat of the user, a second fat duty cycle of the user, and a fat estimated weight of the user based on the fat burning rate of the user; wherein the sum of the fat burning rates of the user during the movement time of the user is equal to the fat burning heat of the user; the fat burning heat of the user divided by the calories consumed by the user during exercise equals the user's second fat duty cycle; the heat of fat burning of the user divided by 9 is equal to the estimated weight of fat of the user.
In a third aspect, the present application provides a wearable device comprising: a processor and a memory; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to cause the wearable device to perform the method as the first aspect.
In a fourth aspect, the application provides a computer readable storage medium storing a computer program which when executed by a processor performs a method as in the first aspect.
In a fifth aspect, the application provides a computer program product comprising a computer program which, when run, causes a computer to perform the method as in the first aspect.
In a sixth aspect, the application provides a chip comprising a processor for invoking a computer program in memory to perform the method according to the first aspect.
It should be understood that, the second aspect to the sixth aspect of the present application correspond to the technical solutions of the first aspect of the present application, and the advantages obtained by each aspect and the corresponding possible embodiments are similar, and are not repeated.
Drawings
FIG. 1 is a schematic diagram of an interface for physical ability and age testing according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an interface for another physical fitness age test according to an embodiment of the present application;
fig. 3 is a schematic diagram of a software architecture of a wearable device according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a vital sign measurement method provided by an embodiment of the present application;
fig. 5 is a schematic flow chart of another vital sign measurement method provided by an embodiment of the present application;
FIG. 6 is a schematic flow chart of an excitation method provided by an embodiment of the present application;
fig. 7 is a schematic flow chart of a data transmission method according to an embodiment of the present application;
FIG. 8 is a schematic flow chart of another data transmission method provided by an embodiment of the present application;
fig. 9 is a schematic flow chart of a method for measuring a vital sign according to an embodiment of the present application;
FIG. 10 is a schematic diagram of an interface of a lipid-lowering index value according to an embodiment of the present application;
FIG. 11 is a schematic block diagram of a data flow provided by an embodiment of the present application;
FIG. 12 is a schematic flow chart of a method for calculating a lipid-lowering index value according to an embodiment of the present application;
FIG. 13 is a schematic block diagram of a wearable device provided by an embodiment of the present application;
fig. 14 is a schematic block diagram of another wearable device provided by an embodiment of the present application.
Detailed Description
The technical scheme of the application will be described below with reference to the accompanying drawings.
Currently, the wearable device mostly uses the maximum oxygen uptake as an evaluation index when evaluating the heart-lung endurance of the user. However, the concept of maximum oxygen uptake is not generally understood by the user, nor is the meaning of maximum oxygen uptake representation familiar, so that the maximum oxygen uptake displayed by the wearable device cannot be effectively guided by the user.
In addition, the user typically uses the calorie data to evaluate the user's athletic performance while exercising. However, the calorie data is too general, and the exercise consumption of the user cannot be accurately judged, especially for the fat-reducing crowd, the exact fat consumption data cannot be obtained from the calories, the fat-reducing effect of the user cannot be accurately reflected, and the user experience is poor.
In view of this, the embodiment of the application provides a method for measuring vital signs and a wearable device, which uses physical ability age to evaluate the heart and lung endurance of a user, the physical ability age is an understandable concept, and the user can compare the physical ability age measured by the wearable device with the real age, so as to very particularly represent the heart and lung endurance. The wearable device can guide the user to improve the physical fitness level through continuous exercise so as to improve the physical fitness age, and can be suitable for people desiring to improve the physical condition, strengthen the cardiopulmonary health level and keep the body alive.
In addition, calories include carbohydrate, protein, fat and the like, and the embodiment of the application provides a vital sign measuring method and wearable equipment, which are used for disassembling fat in calories consumed by exercise, converting the fat into the weight of the fat consumed by exercise, and are more visual and easier to understand than the concept of calories, and presenting the fat consumption efficiency in real time in the exercise process of a user, so that the user can be helped to reasonably control the exercise intensity and simultaneously more effectively promote the weight of fat reduction.
The embodiment of the application provides a method for measuring vital signs, which can be also called as a method for measuring physical ability age when used for measuring physical ability age, and the embodiment of the application is not limited to the method. The application firstly introduces a physical ability and age measuring method.
The wearable device provided by the embodiment of the application comprises the physical ability age option, and the physical ability age option can be triggered by a user to measure the physical ability age. The wearable device provided by the embodiment of the application can support two methods for measuring physical ability and age. The method for measuring the physical ability age is that the wearable device guides a user to perform physical ability test, motion data of the user during the physical ability test is collected, and the physical ability age of the user is calculated based on the motion data. According to the implementation mode, the physical ability age of the user is tested based on specific physical ability training, so that the real-time performance is high, and the accuracy is higher.
Another method of measuring physical fitness age is for the wearable device to calculate the physical fitness age of the user based on historical movement data of the user. According to the implementation mode, a user does not need to conduct special physical training, physical age can be rapidly displayed based on historical motion data, the method can be applied to any scene, and the flexibility is higher.
The wearable device may determine one of the two ways to measure the physical ability age of the user based on the user's selection. If the wearable device detects that the user selects the first measurement mode, namely, the physical fitness age is measured through physical fitness test, before the physical fitness test is performed on the user, the wearable device can also judge whether the historical physical fitness age is stored or not, and if the historical physical fitness age is not stored, the physical fitness test is directly performed; if the historical physical stamina is stored, the historical physical stamina can be displayed first, and then physical testing is performed.
Illustratively, the wearable device may be a smart watch. FIG. 1 shows a schematic interface diagram for physical fitness age testing. As shown in the interface a of fig. 1, the wearable device may provide the user with training status, physical ability age, and activity record options. When the wearable device detects an operation of triggering the physical ability and age option by the user, the b interface in fig. 1 may be displayed in response to the operation. As shown in interface b in fig. 1, the wearable device displays a measure physical ability age control through physical ability testing and a measure physical ability age control through historical athletic data. The wearable device may determine a manner of measuring the physical ability age based on the user's selection. When the wearable device detects that a user triggers an operation of measuring the physical ability age control through the physical ability test, the wearable device can respond to the operation to judge whether the historical physical ability age is stored. If the wearable device does not store the historical physical ability age, the physical ability test is directly performed, and a basic information determination interface, namely a c interface in fig. 1, can be displayed. As shown in the c interface in fig. 1, the wearable device displays basic information of the user for user confirmation. The basic information determination interface displayed by the wearable device displays basic information of the user, and the measurement needs to be based on personal basic information of the user. Please ensure that the following information you fill in at sports health APP is accurate: gender: age of men: height of 30 years old: 175 cm body weight: 60 kg "and physical test notes" this process takes approximately 25 minutes. Please measure in open road flat road to ensure accurate results. The basic information determination interface displayed by the wearable device also displays a confirmation control and a cancellation control, so that a user can start and cancel the physical performance test. If the wearable device detects an operation of triggering the cancel control by the user, the b interface in fig. 1 may be displayed in response to the operation. If the wearable device detects an operation of triggering the confirmation control by the user, the d interface in fig. 1 may be displayed in response to the operation. The wearable device may guide the user through the information displayed by the d interface in fig. 1 for physical fitness testing. As shown in the interface d in fig. 1, the wearable device informs the user that the physical ability test is running through the running pattern, informs the user that the running duration is 25 minutes through the 25:00 pattern, and suggests the user to reasonably perform the speed matching through the speed matching suggestion within 08 '00'/km. And when the wearable device detects that the user is in the running state, the wearable device enters a countdown and displays the remaining time in real time. When the remaining duration is 0, the wearable device may display the measurement result, i.e., the e-interface in fig. 1. As shown in the e-interface in fig. 1, the wearable device displays that the physical ability age is 20 years old and displays that the physical ability level of the user is an excellent level.
Optionally, in the interface b in fig. 1, if the wearable device detects that the user triggers the measurement of the physical stamina age control through the historical exercise data, in response to the operation, the historical exercise data stored in the wearable device, such as outdoor running data, may be obtained, the physical stamina age is calculated, and the measurement result is displayed, that is, the interface e in fig. 1.
Optionally, in the interface b in fig. 1, when the wearable device detects that the user triggers an operation of measuring the physical ability age control through the physical ability test, in response to the operation, it may be determined whether the historical physical ability age is stored. If the wearable device stores the historical physical stamina, the historical physical stamina can be displayed first, and then physical testing is performed. It will be appreciated that if there are multiple historic physical abilities, the wearable device may display the physical ability age that is the closest to the current time.
Illustratively, FIG. 2 shows an interface schematic of another physical ability and age test. As shown in the interface a in fig. 2, when the wearable device detects that the user triggers an operation of measuring the physical ability age control through the physical ability test, in response to the operation, it may be determined whether the historical physical ability age is stored. If the wearable device stores the historical physical stamina, the historical physical stamina may be displayed, i.e., the b interface in fig. 2 is displayed. As shown in interface b of fig. 2, the user's historic physical ability age is 20 years old, and the wearable device may also display a re-measurement control to facilitate the user to take measurements again. When the wearable device detects that the user triggers the operation of the re-measurement control, the basic information determination interface, namely the c interface in fig. 2, is displayed in response to the operation. As shown in the c interface in fig. 2, the wearable device displays basic information of the user for user confirmation. This interface is the same as the interface c in fig. 1, and will not be described here again.
The wearable device provided by the embodiment of the application can be an intelligent bracelet or an intelligent watch. The specific technology and the specific equipment form adopted by the wearable equipment are not limited in the embodiment of the application. In order to better understand the embodiments of the present application, the following describes a software architecture of the wearable device of the embodiments of the present application.
Fig. 3 is a schematic diagram of a software architecture of a wearable device according to an embodiment of the present application. As shown in fig. 3, the microcontroller (micro control unit, MCU) layered architecture divides the software system of the wearable device into several layers, each with a clear role and division of effort. The layers communicate with each other through a software interface. In some embodiments, the wearable device may include an application layer (applications), an application framework layer (application framework), and a hardware abstraction layer (hardware abstract layer, HAL).
The application layer may include a series of application packages that run applications by calling an application program interface (application programming interface, API) provided by the application framework layer. As shown in fig. 3, the application layer may also include an algorithm module, a data storage module, a voice broadcast module, and a User Interface (UI) module. The algorithm module is used for calculating physical stamina based on historical movement data of the user or movement data in the physical test. The data storage module is used for storing historical movement data of the user or measurement results of physical stamina. The voice broadcasting module is used for broadcasting the measuring results of the physical ability test starting, ending and physical ability age. The UI module is used to display the interfaces shown in fig. 1 and 2, but the embodiment of the application is not limited thereto.
The application framework layer provides APIs and programming frameworks for application programs of the application layer. The application framework layer includes a number of predefined functions. As shown in fig. 3, the application framework layer may include a motion task module and a data acquisition module. The exercise task module is used for providing physical fitness tests for physical fitness age measurement; the data acquisition module is used for acquiring motion data of a user in the physical ability testing process.
A hardware abstraction layer may contain multiple sensors to facilitate providing data support for subsequent computations. The plurality of sensors may include acceleration sensors, gyroscopic sensors, global positioning system (global positioning system, GPS) sensors, and photoplethysmography (photo plethysmo graphy, PPG) modules, among others. The acceleration sensor is used for detecting the magnitude of acceleration of the wearable device in all directions (typically three axes). The gyroscopic sensor may be used to determine a motion pose of the wearable device. The GPS sensor is used for acquiring the geographic position of the wearable device in real time. The PPG module is used for collecting PPG signals of a user wearing the wearable device so as to obtain health data such as heart rate, respiratory rate or blood oxygen of the user.
In order to clearly describe the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be implemented independently or combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 4 shows a schematic flow chart of a method 400 of measuring physical stamina. The method 400 may be performed by a wearable device, such as the smart watch shown in fig. 1 described above. The method can be applied to the examples shown in fig. 1 and 2 described above. The software architecture of the method 400 may be as shown in fig. 3, but the embodiment of the application is not limited thereto.
As shown in fig. 4, the method 400 may include the steps of:
s401, detecting operation of triggering physical ability test by a user.
In the example shown in fig. 1 above, the user triggers the operation of the fitness test, i.e., the user triggers the operation of measuring the fitness age control by the fitness test. When a user triggers an operation of measuring the physical ability age control through the physical ability test, the wearable device may detect the operation of the user triggering the physical ability test.
S402, responding to the operation of the user triggering the physical ability test, and judging whether the historical physical ability age is stored.
The wearable device judges whether the historical physical ability age is stored or not, namely, judges whether the user performs physical ability test before triggering physical ability test and obtains the physical ability age.
If the wearable device does not store the historic physical ability age, an information confirmation interface may be displayed, that is, S405 is performed. If the wearable device stores the historic physical ability age, the last historic physical ability age may be displayed, i.e., S403 is performed.
And S403, if the historical physical stamina is stored, displaying the last historical physical stamina.
The last historical physical ability age is used to represent the last physical ability age that is the time the user triggered the physical ability test.
Illustratively, if there are 3 historic physical ages, the 3 historic physical ages are 22 years, 23 years, and 20 years, respectively. If the time corresponding to the age of 20 is closest to the time the user triggered the fitness test, then the age of 20 is displayed.
Illustratively, in the example shown in fig. 2 above, as shown in the interface b in fig. 2, the wearable device stores the historical physical stamina, and then displays the last historical physical stamina of 20 years.
If the historical physical ability age is stored, the wearable device displays the last historical physical ability age and displays a re-measurement control to facilitate the user's re-measurement of the physical ability age, e.g., in the example shown in fig. 2 above, the wearable device displays the interface in fig. 2.
S404, detecting that a user triggers the operation of the re-measurement control.
Illustratively, in the example shown in fig. 2 above, as shown in the b interface in fig. 2, when the user clicks the re-measurement control, the wearable device may detect that the user triggers operation of the re-measurement control.
The wearable device detects an operation of triggering the re-measurement control by the user, and in response to the operation, an information confirmation interface, i.e., the interface c in fig. 2 described above, may be displayed.
And S405, if the historical physical ability age is not stored, or in response to the user triggering the operation of the re-measurement control, displaying an information confirmation interface.
The information confirmation interface may be as shown in the c interface in fig. 1 described above, or as shown in the c interface in fig. 2 described above. The information confirmation interface displays a confirmation control and a cancellation control. It should be noted that the cancel control is optional. If the control is not canceled, the wearable device detects a left-sliding or right-sliding operation of the user on the information confirmation interface, and may return to a previous interface of the information confirmation interface, for example, the interface b in fig. 1 or the interface b in fig. 2.
S406, detecting the operation of triggering the confirmation control by the user.
When the user clicks the confirmation control on the information confirmation interface, the wearable device may detect that the user triggers operation of the confirmation control.
S407, responding to the operation of the user triggering the confirmation control, and starting timing.
In the example shown in fig. 1 above, where the test task to measure physical stamina is running for 25 minutes, the wearable device may display the d interface in fig. 1 above in response to the user triggering the operation of the confirmation control, and start timing when it is detected that the user is running. The wearable device may count down or count up, which is not limited by the embodiments of the present application. If the wearable device counts down, it gradually decreases from 25 minutes until it reaches 0. If the wearable device is clocked up, it increases from 0 until the duration is 25 minutes.
S408, judging whether the preset time period is reached.
In the example shown in fig. 1 and 2 above, the preset duration is 25 minutes. If the wearable device counts down, the wearable device determines whether 0 is reached. If the wearable device counts up, the wearable device determines if 25 minutes are reached.
It should be noted that the preset duration of 25 minutes is preset by the developer, and is only one possible implementation. The preset time period may be 20 minutes or 30 minutes.
If the preset duration is reached, the wearable device may calculate the maximum oxygen uptake based on the data of the user during the physical ability test, and determine whether the maximum oxygen uptake is available, i.e. S409 may be executed. If the preset duration is not reached, the wearable device may determine whether the exit operation of the user is detected, that is, S412 may be executed.
S409, judging whether the maximum oxygen uptake is calculated.
If the preset duration is reached, the wearable device can calculate the maximum oxygen uptake based on the data of the user in the physical ability test process, and judge whether the maximum oxygen uptake can be obtained.
Specifically, the wearable device may input data of the user during the physical ability test into a model for calculating the input data and outputting the maximum oxygen uptake. If the model does not output the maximum oxygen intake, the wearable device may determine that the maximum oxygen intake is not obtained, and may use the real age of the user as the physical ability age, that is, execute S411. If the model outputs the maximum oxygen intake, the wearable device may determine that the maximum oxygen intake is obtained and determine the physical ability age based on the maximum oxygen intake, i.e., perform S410.
And S410, if the maximum oxygen uptake is calculated, determining the physical ability age based on the maximum oxygen uptake.
The wearable device may input the maximum oxygen uptake into a model for outputting physical stamina age based on the input data. The model is calibrated by a developer through a large number of experiments and is preset in the wearable device.
Optionally, the wearable device may further output a confidence probability of the maximum oxygen uptake, and if the confidence probability of the maximum oxygen uptake is greater than or equal to a preset probability, the wearable device may determine the physical ability age based on the maximum oxygen uptake. If the confidence probability of the maximum oxygen uptake is less than the preset probability, the wearable device can discard the maximum oxygen uptake. The preset probability is preset in the wearable device by a developer.
The realization method has higher reliability of calculating the maximum oxygen uptake of the physical ability age, and is beneficial to ensuring the measurement accuracy of the physical ability age.
S411, if the maximum oxygen uptake is not calculated, taking the real age of the user as physical ability age.
Illustratively, the information confirmation interface displays an age of 30 years, and if the maximum oxygen intake is not calculated, the wearable device may take the real age of the user as the physical ability age of 30 years.
According to the implementation mode, although the physical ability age is not obtained through physical ability test calculation, the physical ability age is still output, and the user experience is guaranteed.
And S412, if the preset time period is not reached, judging whether the exit operation of the user is detected.
The wearable device supports the user to exit at any point in time of the fitness test. If the preset duration is not reached and the exit operation of the user is not detected, it may be indicated that the user is performing the physical performance test, and the wearable device may continue to determine whether the preset duration is reached, i.e. execute S408. If the preset duration is not reached and the exit operation of the user is detected, it may be indicated that the user does not complete the physical ability test, and the wearable device may determine whether the data collected based on the moved duration may be calculated to obtain the maximum oxygen intake, that is, S413 may be executed.
S413, if the exit operation of the user is detected, judging whether the maximum oxygen uptake is calculated or not in response to the exit operation of the user.
In response to a user's exit operation, the wearable device may input data collected by the user during movement into a model for calculating the input data and outputting a maximum oxygen uptake. If the model does not output the maximum oxygen uptake, the wearable device may determine that the maximum oxygen uptake is not obtained, and the wearable device may display that the measurement fails, i.e., perform S415. If the model outputs the maximum oxygen intake, the wearable device may determine that the maximum oxygen intake is obtained and determine the physical ability age based on the maximum oxygen intake, i.e., perform S414.
And S414, if the maximum oxygen uptake is calculated, determining the physical ability age based on the maximum oxygen uptake.
The wearable device may input the maximum oxygen uptake into a model for outputting physical stamina age based on the input data. The model is calibrated by a developer through a large number of experiments and is preset in the wearable device.
S415, if the maximum oxygen uptake is not calculated, displaying that the measurement fails.
According to the physical ability age measuring method, the maximum oxygen uptake is calculated through the movement data obtained through physical ability testing, the physical ability age is calculated based on the maximum oxygen uptake, the real-time performance is high, the accuracy is higher, and meanwhile, the physical ability age is used for reflecting the heart and lung endurance condition of a user, so that the user is guided to improve the physical ability age through continuous movement to improve the health level, and the physical ability age measuring method is suitable for people desiring to improve the health condition, strengthen the heart and lung health level and keep the body alive.
The embodiment of the application also provides a method for measuring physical ability and age based on the historical motion data.
Fig. 5 shows a schematic flow chart of a method 500 of measuring physical stamina. As shown in fig. 5, the method 500 may include the steps of:
s501, detecting that a user triggers an operation of measuring physical stamina based on historical motion data.
In the example shown in fig. 1 described above, the user triggers an operation of measuring the physical ability age based on the historical movement data, i.e., the user triggers an operation of measuring the physical ability age control through the historical movement data. When the user triggers an operation to measure the physical ability age control through the historical movement data, the wearable device may detect that the user triggers an operation to measure the physical ability age based on the historical movement data.
S502, judging whether the historical exercise data can support the physical ability age.
If the historical movement data is too low, the wearable device does not support the user to measure physical stamina based on the historical movement data. If the historical movement data meets the requirements, the wearable device supports the user to measure the physical stamina based on the historical movement data.
For example, the wearable device may determine whether the historical exercise duration is greater than or equal to 25 minutes, and if the user's historical exercise duration, e.g., outdoor running, exceeds 25 minutes, the historical exercise data may support measuring the physical stamina, and the wearable device may support the user to measure the physical stamina based on the historical exercise data. If the user's historical exercise duration, e.g., outdoor running, does not exceed 25 minutes, the historical exercise data does not support measuring the physical stamina age, and the wearable device does not support the user measuring the physical stamina age based on the historical exercise data.
If the historical movement data can support measuring physical stamina age, the wearable device may calculate the maximum oxygen uptake based on the historical movement data, i.e., perform S503. If the historical exercise data does not support measuring the physical stamina age, the wearable device may prompt the user that the historical exercise data is too little to support measuring the physical stamina age, i.e., execute S505.
S503, if the historical movement data can support the physical fitness age, calculating the maximum oxygen uptake based on the historical movement data.
If the historical movement data can support measuring physical stamina age, the wearable device can input the historical movement data into a model, and the model is used for calculating the input data and outputting the maximum oxygen uptake. The output of the model is the maximum oxygen uptake.
If the model does not successfully output the maximum oxygen uptake, the wearable device may determine the true age of the user as the physical energy age of the user.
S504, determining physical ability age based on the maximum oxygen uptake.
The wearable device may input the maximum oxygen uptake into a model for outputting physical stamina age based on the input data. The model is calibrated by a developer through a large number of experiments and is preset in the wearable device.
And S505, if the historical exercise data does not support the measured physical stamina, prompting the user that the historical exercise data is too little and not supporting the measured physical stamina.
If the historical exercise data does not support measuring the physical ability age, the wearable device prompts the user that the current historical exercise data is too little through the prompt information and does not support measuring the physical ability age, so that the user can conveniently select a reasonable mode to measure the physical ability age, and the experience of the user is improved.
According to the physical ability age measuring method provided by the embodiment of the application, the physical ability age of the user is calculated based on the historical movement data of the user, special physical ability training is not needed by the user, the physical ability age can be rapidly displayed based on the historical movement data, the physical ability age measuring method can be suitable for any scene, the flexibility is stronger, meanwhile, the physical ability age is used for reflecting the cardiopulmonary endurance condition of the user, the user is guided to improve the physical ability age by continuously moving, the physical ability level is improved, the physical ability is suitable for people desiring to improve the health condition, the cardiopulmonary health level is enhanced, and the physical activity is kept.
After determining the physical ability age of the user by the method 400 or the method 500 described above, embodiments of the present application also provide an incentive mechanism to encourage the user to maintain the physical ability age or encourage the user to improve the physical ability age by increasing the health level through continued exercise.
Illustratively, FIG. 6 shows a schematic flow chart of an excitation method 600. As shown in fig. 6, the method 600 includes the steps of:
S601, after the physical ability age of the user is determined, judging whether the physical ability age of the user is 18 years old.
The age of 18 may be referred to as motivational age, with motivational age of 18 being just one example, and 20, 23, 25, or 27, etc., and embodiments of the application are not limited in this regard. The physical stamina age of the incentive can be preset in the wearable equipment by a developer or can be determined based on preset rules, and the embodiment of the application is not limited to the above.
After executing S410, S414, or S504 described above, the wearable device may determine whether the physical ability age of the user is 18 years old.
If the physical ability age of the user is 18 years old, the wearable device may determine whether it is the same as the real age of the user, i.e. execute S603. If the physical ability age of the user is not 18 years old, the wearable device may display an incentive page a for encouraging the user to raise the health level by continuous exercise to improve the physical ability age to 18 years old, i.e., perform S602.
S602, if the physical ability age of the user is not 18 years old, displaying an incentive page a for encouraging the user to raise the health level by continuous exercise to improve the physical ability age to 18 years old.
The embodiment of the application does not limit the specific content and the specific form of the incentive page A.
S603, if the physical ability age of the user is 18 years old, judging whether the physical ability age is the same as the true age of the user.
If the true age of the user is 18 years, the physical ability age of the user is the same as the true age of the user. If the true age of the user is not 18 years old, the physical ability age of the user is different from the true age of the user.
If the physical ability age of the user is the same as the real age of the user, the wearable device may display the physical ability age of the user, i.e., perform S604. If the physical ability age of the user is different from the true age of the user, the wearable device may display page B for encouraging the user to continue to keep the physical ability age 18 years, i.e., perform S606.
S604, if the physical ability age of the user is the same as the real age of the user, displaying the physical ability age of the user.
If the physical fitness age of the user is the same as the real age of the user, the wearable device may display the physical fitness age of the user, and the display interface of the physical fitness age of the user may be as shown in the e interface in fig. 1.
S605, generating physical stamina age measurement records.
The wearable device may generate a physical fitness age measurement record that may include information of the physical fitness age of the user, the time to measure the physical fitness age, the manner in which the physical fitness age is measured, and the like.
S606, if the physical ability age of the user is different from the real age of the user, displaying a page B for encouraging the user to keep the physical ability age at 18 years.
The embodiment of the application does not limit the specific content and the specific form of the incentive page B.
According to the motivation method provided by the embodiment of the application, when the physical ability age of the user is not 18 years old, the motivation page A can be displayed to encourage the user to improve the physical ability age by continuously moving to improve the health level, when the physical ability age of the user is 18 years old and is different from the real age of the user, the motivation page B can be displayed to encourage the user to keep the physical ability age, the user can be encouraged under different conditions, and the motivation of the movement of the user is improved, so that the cardiopulmonary ability of the user is improved.
After the wearable device measures the physical stamina, the physical stamina measurement records can be generated, that is, the wearable device can generate the physical stamina measurement records after executing S410, S414, S504 or S604. The wearable device may send the physical ability age measurement record to the terminal device paired with it based on the existing bluetooth channel and the existing bluetooth instruction protocol reference. The terminal equipment is provided with the sports health APP, and data interaction can be carried out between the sports health APP and the wearable equipment. The terminal device can receive the physical ability age measurement record and display the physical ability age measurement record on the sports health APP so as to be convenient for a user to check. The terminal equipment can be a mobile phone, a tablet or a computer and the like. The embodiment of the application does not limit the structure and the form of the terminal equipment.
Illustratively, fig. 7 shows a schematic flow chart of a data transmission method 700. As shown in fig. 7, the method 700 may include:
s701, after the wearable device generates the physical ability and age measurement record in S605, if the wearable device is in a connection state with the terminal device, the wearable device may send a data synchronization request to the terminal device, and correspondingly, the terminal device receives the data synchronization request.
The data synchronization request is used to indicate that the wearable device wants to send data, such as a physical ability age measurement record, to the terminal device.
S702, the terminal equipment sends a data reporting instruction to the wearable equipment based on the data synchronization request, and correspondingly, the wearable equipment receives the data reporting instruction.
The data reporting instructions are used to instruct the wearable device to report data, such as physical ability age measurement records.
And S703, the wearable device sends data to the terminal device based on the data reporting instruction, and correspondingly, the terminal device receives the data.
The data includes physical stamina age measurement records.
S704, the terminal equipment updates historical data based on the data.
The terminal device may store a physical ability age measurement record for each time the user. The physical ability and age measurement record stored before the terminal device receives the data is referred to as history data. The terminal device may update the previously stored physical ability age measurement record based on the physical ability age measurement record received this time.
If the terminal device does not store the history data before the time, namely the history data is 0, the terminal device stores the physical ability and age measurement record of the time. If the terminal device stores the historical data before the time, the terminal device adds the physical ability and age measurement record of the time in the historical data.
If the terminal device counts the maximum physical energy age of the user in the last month, the minimum physical energy age of the user in the last month and the last physical energy age value, the terminal device can update the maximum physical energy age of the user in the last month, the minimum physical energy age of the user in the last month and the last physical energy age value based on the physical energy age measurement record of the time.
Illustratively, the physical fitness age measurement record generated by the wearable device includes: the measurement time was 2022, 11 months and 20 years, and the measurement result was physical ability age value 20 years. The terminal device receives the physical ability and age measurement record. The last month of the physical ability age maximum stored by the terminal device before this is 25 years old, the user's physical ability age minimum of last month is 18 years old, and the last physical ability age value is 22 years old, then the terminal device may update the user's physical ability age maximum of last month, the user's physical ability age minimum of last month, and the last physical ability age value based on the received physical ability age measurement record. The physical energy age measurement record received by the terminal equipment does not influence the maximum physical energy age of the user in the last month and the minimum physical energy age of the user in the last month, and influences the physical energy age value of the last time, and the updated data are as follows: the maximum physical ability age of the user in the last month is 25 years old, the minimum physical ability age of the user in the last month is 18 years old, and the last physical ability age is 20 years old.
It should be noted that, the wearable device may send the generated physical ability age measurement record to the terminal device, and store the generated physical ability age measurement record to the memory in the wearable device, which is not limited by the embodiment of the present application.
And S705, the terminal equipment sends updated historical data to the wearable equipment, and correspondingly, the wearable equipment receives the updated historical data.
The wearable device receives updated historical data to facilitate storing up-to-date data for viewing by the user.
According to the data transmission method provided by the embodiment of the application, the data are synchronized between the wearable equipment and the terminal equipment, so that the two equipment can provide the same data for the user, and the user can conveniently follow-up movement and measurement.
As an optional embodiment, after the step S605 of generating the physical stamina measurement record by the wearable device, if the wearable device is not connected to the terminal device, the wearable device determines whether the historical physical stamina measurement record is stored, and if the historical physical stamina measurement record is stored, updates the historical physical stamina measurement record based on the generated physical stamina measurement record.
According to the implementation mode, the wearable equipment and the terminal equipment are not in a connection state, and the wearable equipment stores the physical ability age measurement record, so that the physical ability age of missing measurement is avoided.
In the method provided by the embodiment of the application, the wearable device measures the physical ability age of the user based on the (physical ability test or history) movement data of the user. In order to avoid the situation that the difference value of the physical ability ages of the same user measured for multiple times is larger, that is, the situation that the physical ability ages of the same user measured for multiple times are jumped is prevented, the wearable device can acquire 6 parameters such as the gender, the age, the middle-high strength duration within 7 days, the maximum oxygen uptake generated by the last exercise, the maximum physical ability age value and the minimum physical ability age value of the user in the last month of the user. The wearable device can increase the 6 parameters, calculate the physical ability age of the user, enable the difference value of the physical ability ages of the same user measured for many times to be smaller, prevent the jump, and enable the physical ability ages measured for many times to be smoother and more accurate.
The wearable device may acquire these 6 parameters from the terminal device side.
The timing of the wearable device to acquire these 6 parameters includes: the wearable device establishes a connection with the terminal device, or the wearable device measures the physical ability age and the terminal device updates the history data based on the measured physical ability age, for example, S705 described above.
The wearable device establishes connection with the terminal device, which may include: the wearable device is paired or reconnected with the terminal device for the first time. After the wearable device is connected with the terminal device, data interaction is performed between the wearable device and the terminal device so as to obtain the same data.
Illustratively, fig. 8 shows a schematic flow chart of a data transmission method 800. As shown in fig. 8, the method 800 may include the steps of:
s801, the wearable device establishes connection with the terminal device.
The wearable device establishes connection with the terminal device, which may be first pairing or reconnection, which is not limited by the embodiment of the present application.
S802, the terminal equipment sends a query instruction 1 to the wearable equipment, and correspondingly, the wearable equipment receives the query instruction 1, wherein the query instruction 1 is used for querying whether the wearable equipment supports the physical ability and age measurement function.
Illustratively, the functions supportable by the wearable device each have an identification, and query instruction 1 may include an identification of the physical ability age measurement function for querying whether the wearable device supports the physical ability age measurement function.
S803, the wearable device determines whether the physical ability and age measurement function is supported based on the query instruction 1, if the physical ability and age measurement function is supported, a response message 1 is sent to the terminal device, and correspondingly, the terminal device receives the response message 1, wherein the response message 1 is used for indicating the wearable device to support the physical ability and age measurement function.
For example, the wearable device may determine whether the wearable device includes an identification of the physical age measurement function to determine whether the physical age measurement function is supported. If the wearable device includes an identification of the physical ability age measurement function, it indicates that the wearable device supports the physical ability age measurement function, a response message 1 may be sent to the terminal device. If the wearable device does not include an identification of the physical ability age measurement function, then there is no response. If the terminal device does not receive the response message within a period of time, the terminal device may determine that the wearable device does not support the physical ability age measurement function.
S804, the terminal equipment sends a query instruction 2 to the wearable equipment based on the response message 1, and correspondingly, the wearable equipment receives the query instruction 2, wherein the query instruction 2 is used for querying whether the wearable equipment supports reading instructions containing the 6 parameters.
S805, the wearable device determines whether to support reading the instruction containing the 6 parameters based on the query instruction 2, if so, sends a response message 2 to the terminal device, and correspondingly, the terminal device receives the response message 2, wherein the response message 2 is used for indicating the wearable device to support reading the instruction containing the 6 parameters.
S806, the terminal equipment sends a data issuing instruction 3 to the wearable equipment based on the response message 2, wherein the data issuing instruction 3 comprises the 6 parameters, and correspondingly, the wearable equipment receives the data issuing instruction 3 and reads the 6 parameters included in the data issuing instruction 3.
It should be noted that the above 6 parameters may be issued together or separately, which is not limited in the embodiment of the present application. The above S806 describes an example of the issuing together. In another possible implementation, the terminal device may issue a plurality of data-issue instructions 3. For example, the terminal device may issue 3 data-issuing instructions 3, where the 3 data-issuing instructions 3 are the first data-issuing instruction 3, the second data-issuing instruction 3, and the third data-issuing instruction 3, respectively. The first data transmission instruction 3 may include the sex and age of the user, the second data transmission instruction 3 may include a middle and high intensity period within 7 days, a maximum oxygen intake amount generated by the last exercise, and the third data transmission instruction 3 may include a maximum physical ability age value and a minimum physical ability age value of the user within the last month.
According to the data transmission method provided by the embodiment of the application, after the wearable equipment and the terminal equipment are connected, the terminal equipment can send the data related to the physical ability age measurement to the wearable equipment, so that the terminal equipment can calculate the physical ability age based on the data, and the measurement accuracy of the subsequent physical ability age can be improved.
The above 6 parameters may be referred to as parameters for measuring physical stamina or as data related to physical stamina measurement, which is not limited in the embodiment of the present application.
As an optional embodiment, before the terminal device sends the data issuing instruction 3 to the wearable device based on the response message 2 in S806, the terminal device may first receive the parameter of the measured physical stamina reported by the wearable device, update the stored parameter of the historical measured physical stamina based on the reported parameter of the measured physical stamina, and send the updated parameter of the measured physical stamina to the wearable device.
This implementation, which synchronizes the data after pairing or reconnecting, is advantageous in avoiding missing data at the disconnection stage.
If the wearable device calculates the physical energy age of the user based on the maximum oxygen uptake and the parameter for measuring the physical energy age, and generates a physical energy age measurement record, the wearable device judges whether the parameter for historically measuring the physical energy age is stored or not if the parameter for historically measuring the physical energy age is not stored after the physical energy age measurement record is generated, and updates the parameter for measuring the physical energy age based on the generated physical energy age measurement record if the parameter for historically measuring the physical energy age is stored.
Illustratively, fig. 9 shows a schematic flow chart of a method 900 of measuring physical stamina. As shown in fig. 9, the method 900 may include the steps of:
s901, acquiring parameters of the physical stamina age of the measurement body sent by the terminal equipment.
The wearable device may refer to S805 above for a specific implementation manner to obtain the parameter of the measured physical stamina sent by the terminal device, which is not described herein.
S902, judging whether parameters for measuring physical stamina and age are stored.
The wearable device has the capability of storing the parameter for measuring the physical ability age, and the wearable device can judge whether the parameter for measuring the physical ability age is stored or not before the terminal device sends the parameter for measuring the physical ability age. If the wearable device stores the parameter for measuring the physical stamina, the wearable device updates the stored parameter for measuring the physical stamina, i.e. performs S903. If the wearable device does not store the parameter for measuring the physical stamina, the wearable device saves the parameter for measuring the physical stamina sent by the terminal device, that is, executes S905.
S903, if the parameter of the measured physical ability age is stored, updating the stored parameter of the measured physical ability age.
If the parameters for measuring the physical stamina are stored, the wearable device updates the stored parameters for measuring the physical stamina according to the following rules:
The wearable equipment acquires the time generated by the stored parameters for measuring the physical ability age and the time generated by the physical ability age measurement sent by the terminal equipment;
if both times are more than 30 days from the current time, all parameters measuring physical ability age are deleted.
If the two times are after the current time, it may be stated that the current time of the wearable device may be problematic, and the wearable device may return an error code.
If the two time distances are not more than 30 days from the current time, the parameters of measuring the physical ability age sent by the terminal equipment comprise a maximum physical ability age value and a minimum physical ability age value in the last month of the user, the maximum physical ability age value and the minimum physical ability age value in the last month of the user are stored in the wearable equipment, the wearable equipment can determine the maximum value in the data as the maximum physical ability age value in the last month of the user, and the minimum value in the data is determined as the minimum physical ability age value in the last month of the user. The parameters for measuring the physical stamina also comprise the gender and the age of the user, the middle-high intensity duration in 7 days and the maximum oxygen uptake generated by the last exercise, and the wearable device can take the parameters for measuring the physical stamina corresponding to the time closest to the current time in the two times (namely the gender and the age of the user, the middle-high intensity duration in 7 days and the maximum oxygen uptake generated by the last exercise) as the updated parameters for measuring the physical stamina.
If one time is not more than 30 days away from the current time and the other time is more than 30 days away from the current time, the wearable device takes the parameter of the measured physical stamina corresponding to the time which is not more than 30 days away from the current time as the updated parameter of the measured physical stamina.
S904, saving the updated parameters.
After the wearable device determines the updated parameters based on the rules, the updated parameters may be saved for subsequent use.
S905, if the parameter of the physical ability age is not stored, storing the parameter of the physical ability age transmitted by the terminal device.
If the parameter for measuring the physical stamina is not stored, the wearable device can store the parameter for measuring the physical stamina sent by the terminal device for subsequent use.
S906, detecting the physical ability age measured by the user, and determining the physical ability age based on the stored parameters.
Measuring physical ability age by a user may include two implementations. If the user measures the physical fitness age based on the physical fitness test, the wearable device may determine the physical fitness age based on the user's movement data in the physical fitness test and the saved updated parameters. If the user measures the physical stamina age based on the historical movement data, the wearable device may determine the physical stamina age based on the historical movement data and the saved updated parameters.
S908, updating the saved parameters based on the physical ability age.
The wearable device may update a middle-high intensity duration within 7 days, a maximum oxygen uptake generated by a last exercise, a maximum physical ability age value within a last month of the user, and a minimum physical ability age value within a last month of the user among the saved parameters based on physical ability ages.
According to the physical ability age measuring method provided by the embodiment of the application, the physical ability ages of the user can be identified in an auxiliary way based on the gender and age of the user and the maximum oxygen uptake generated by the latest movement, so that the people in different age groups can be divided into intervals, and the user can be mapped to the different age groups in different sexes, thereby being beneficial to accurately identifying the physical ability ages of the user. In addition, based on the middle and high intensity exercise time in 7 days, the maximum physical ability age value in the last month of the user and the minimum physical ability age value in the last month of the user, the physical ability age of the user can be identified in an auxiliary mode, the exercise intensity of the user can be judged based on the middle and high intensity exercise time in 7 days, so that the physical ability age of the user can be adjusted (up-regulated, maintained and down-regulated), the physical ability age value of the user can be monitored by data of month latitude based on the maximum physical ability age value in the last month of the user and the minimum physical ability age value in the last month of the user, and the identified physical ability age can be subjected to smoothing processing so that jump of the output physical ability age can not occur.
The measuring method of physical ability age is described in detail above, and the measuring method of lipid-lowering index value will be described in detail below. It will be appreciated that the method for measuring vital signs provided in the embodiment of the present application may be referred to as a method for measuring a lipid-lowering index value when used for measuring a lipid-lowering index value, which is not limited in this embodiment of the present application.
The wearable device provided by the embodiment of the application can also display the fat burning rate, the accumulated consumption fat and the first fat duty ratio of the user in real time in the process of the movement of the user, such as outdoor running or the physical ability testing process, so that the user can be helped to reasonably control the movement intensity and simultaneously more effectively promote the fat reduction weight. The wearable device may also display a fat burning interface after the user's exercise is completed to inform the user of the user's fat burning heat, second fat duty cycle, and lipid lowering weight throughout the exercise. It will be appreciated that the first fat ratio is used to represent the fat ratio during the fitness test and the second fat ratio is used to represent the fat ratio after the fitness test has ended.
Illustratively, FIG. 10 shows an interface diagram of a lipid-lowering index value. As shown in the interface a of fig. 10, when the wearable device detects that the user runs outdoors, the interface a of fig. 10 may be displayed, that is, the current user has a fat burning rate of 50kcal/min, accumulated fat of 20g, and a fat ratio (i.e., first fat ratio) of 23%. When the wearable device detects that the user is finished running outdoors, the fat burning interface may be displayed, i.e. interface b in fig. 10. As shown in interface b of fig. 10, the user had a fat burning heat of 123 kcal, a fat ratio (i.e., second fat ratio) of 44% and a fat estimated weight of 68 g throughout the outdoor run.
The fat burning rate, the accumulated fat, the first fat ratio, the fat burning heat after the movement is finished, the second fat ratio and the estimated fat weight in the movement process can be collectively called as fat reduction index values, which are only an example, and the embodiment of the application is not limited to the example. In order to display the fat reduction index value, the embodiment of the application can collect data in the movement process of a user through the acceleration sensor, the gyroscope sensor, the GPS sensor and the PPG module, and calculate the fat burning rate, the accumulated fat, the first fat ratio, the fat burning heat after the movement is finished, the second fat ratio and the fat estimated weight in the movement process based on the collected data.
By way of example, fig. 11 shows a schematic block diagram of a data flow. As shown in fig. 11, path 1 is where the sensor group periodically reports the acquired data to the motion application software. The sensor group comprises an acceleration sensor, a gyroscope sensor, a GPS sensor and a PPG module. Sports application software is used to represent sports software for a user, such as outdoor running, physical stamina, and the like. Path 2 is the basic information of the user issued by the sports health APP at the terminal device side to the sports application software of the wearable device. The basic information of the user may also be referred to as personal information of the user, which is not limited in the embodiment of the present application. The basic information of the user may include information of the sex, age, height, weight, etc. of the user.
And the path 3 is that the motion application software fuses the personal information of the user and the data acquired by the sensor group and then transmits the fused personal information and the data to a fusion algorithm. The fusion algorithm is used for calculating the input data and outputting the fat burning proportion and the sugar burning proportion in the movement process of the user. Path 4 is the fusion algorithm sending the fat burning ratio and the sugar burning ratio to the exercise application software. After the exercise application software receives the fat burning proportion and the sugar burning proportion, the fat burning rate, accumulated fat and the first fat ratio of the user in the exercise process can be calculated, and the fat burning heat, the second fat ratio and the estimated fat weight are calculated after the exercise of the user is finished.
Path 5 is the exercise software reporting the calculated fat burning rate, accumulated fat and first fat ratio to the UI display to display the fat burning rate, accumulated fat and first fat ratio of the user during exercise in real time, and reporting the fat burning heat, second fat ratio and estimated fat weight to the UI display after the exercise is finished to inform the user of the fat burning effect during the whole exercise. Path 6 is a sports health APP where the sports application software reports the sugar ratio, the fat burning rate of the user during sports, the accumulated fat and the first fat ratio, and the fat burning heat, the second fat ratio and the estimated fat weight of the user after the sports is finished to the terminal device side, so that the user can check the fat burning effect on the sports health APP.
In the example shown in fig. 11, the fat reduction index value is calculated based on the basic information of the user and the data of the sensor group, and the influence of the age, sex, height and weight of different users on the fat burning can be fully considered, so that the fat reduction index value can be calculated more accurately.
The basic information of the user is optional in calculating the lipid reduction index value, that is, the wearable device may calculate the lipid reduction index value only from the data of the sensor group.
Illustratively, FIG. 12 shows a schematic flow chart of a method 1200 of calculating a lipid-lowering index value. As shown in fig. 12, the method 1200 may include the steps of:
and S1201, periodically acquiring data of a sensor group in the process of user movement.
The sensor group comprises an acceleration sensor, a gyroscope sensor, a GPS sensor and a PPG module. The wearable device can acquire the acceleration of the wearable device in three axes (X axis, Y axis and Z axis) based on the acceleration sensor, can acquire the motion gesture of the wearable device based on the gyroscope sensor, can acquire the geographic position of the wearable device based on the GPS sensor, and can also acquire the PPG signal of a user wearing the wearable device based on the PPG module.
During user movement, the wearable device may periodically acquire data from these sensors.
Illustratively, the wearable device detects that the user is running outdoors, and during the user's running outdoors, data from the sensor set is acquired every 5 seconds.
S1202, calculating heart rate, pace and step frequency of the user based on the data of the sensor group.
The wearable device may input data of these sensor groups into a model for calculating the heart rate, pace, and stride frequency of the user based on the input data and output. The wearable device may determine a heart rate, a pace, and a stride frequency of the user during the movement based on the output of the model.
The model may be one model or a combination of a plurality of models, which is not limited in the embodiment of the present application.
And S1203, determining the fat burning ratio and the sugar burning ratio based on the heart rate, the matching speed and the step frequency of the user.
The wearable device can input the heart rate, the pace and the step frequency of the user into a model, and the model is used for calculating the input data and outputting the fat burning proportion and the sugar burning proportion. The input of the model may also be the heart rate, the pace, the step frequency of the user and the basic information of the user, which is not limited in the embodiment of the present application.
S1204, determining a fat burning rate, an accumulated fat, and a first fat ratio based on the fat burning ratio.
The wearable device may calculate a fat burning rate, an accumulated fat, and a first fat duty cycle based on the fat burning ratio and the following conversion relationship:
fat burning rate (kcal/min) =fat burning ratio 12 calories per second;
cumulative fat (g) =fat burning ratio heat per second/9;
first fat ratio (%) =fat burning ratio.
Wherein calories per second can be understood as calories consumed per second.
And S1205, sending the sugar burning ratio to the terminal equipment, and displaying the sugar burning ratio by using a curve in real time.
The sugar ratio does not participate in the calculation of the fat reduction index value, but the wearable device can report the fat reduction index value to the terminal device, and the terminal device displays the fat reduction index value through a curve in real time.
S1206, it is determined whether the movement of the user is ended.
The wearable device determining whether the movement of the user is ended may include: the wearable device detects whether the user triggers the exit operation or not, or the wearable device judges whether the user is in a non-motion state or not through data of the sensor group. If the user triggers the exit operation or the user is in a non-motion state, the motion of the user is ended. If the user does not trigger the exit operation and the user is in a motion state, the motion of the user is not ended.
If the wearable device detects that the user movement is over, the wearable device may calculate the total data after the whole movement process, i.e. execute S1207. If the wearable device detects that the user movement is not finished, the wearable device continues to periodically acquire the data of the plurality of sensors, that is, executes S1201 described above.
S1207, if the user' S exercise is finished, calculating fat burning heat, second fat ratio and fat estimated weight.
If the user's movement is over, the wearable device may calculate fat heat, a second fat duty cycle, and a fat estimated weight based on the data during the movement.
For example, the wearable device may calculate fat heat, a second fat duty cycle, and a fat estimated weight based on the data during exercise and the following conversion relationship:
fat heat (kcal) = (fat proportion heat per second);
second fat ratio = fat burning calories/total calories;
fat estimated weight (g) =fat burning calories/9.
If the user exercises, the wearable device can also generate an exercise record, report the exercise record to the terminal device, and the terminal device can display the exercise record in the health exercise APP after receiving the exercise record. The exercise record may include, among other things, the length of the user's exercise, the exercise program, and the final fat burning effect, i.e. fat burning calories, the second fat duty cycle, and the estimated weight of fat.
According to the method for calculating the fat reduction index value, the fat burning rate, the accumulated consumed fat and the first fat duty ratio are calculated based on the heart rate, the matching speed and the step frequency of the user in the exercise process, and the fat reduction index value can be displayed in real time so as to help the user to reasonably control the exercise intensity and effectively improve the fat reduction weight. In addition, the fat burning heat, the second fat ratio and the fat reducing weight are calculated based on the data of the user in the exercise process, so that the user is informed of the fat burning effect in the whole exercise process, and the user experience is improved.
The sequence numbers of the processes in the above embodiments do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic, and should not limit the implementation process of the embodiments of the present application.
The method provided by the embodiment of the present application is described in detail above with reference to fig. 1 to 12, and the apparatus provided by the embodiment of the present application will be described in detail below with reference to fig. 13 and 14.
Fig. 13 shows a schematic block diagram of a wearable device 1300 provided by an embodiment of the application. The wearable device 1300 includes: a display module 1310 and a processing module 1320. Wherein, display module 1310 is used for: displaying a first interface, wherein the first interface displays physical ability age options; responding to the triggering operation of the user on the physical ability and age options, displaying a second interface, wherein the second interface comprises basic information of the user and a confirmation control, the basic information of the user comprises the gender of the user and the age of the user, and the confirmation control is used for confirming the basic information of the user; responding to the operation of the user on the confirmation control, and displaying a third interface, wherein the third interface comprises a movement duration and a movement project to instruct the user to perform physical performance test; the processing module 1320 is configured to: detecting that the physical ability test is finished; the display module is also used for: the physical stamina age of the user is displayed.
Optionally, the display module 1310 is further configured to: responding to the triggering operation of the user on the physical ability age option, displaying a fourth interface, wherein the fourth interface comprises a first control and a second control, the first control is used for indicating to measure the physical ability age based on the physical ability test, and the second control is used for indicating to measure the physical ability age based on the historical motion data of the user; responding to the triggering operation of the user on the first control, and displaying a second interface; and responding to the triggering operation of the user on the second control, and displaying the physical ability age of the user.
Optionally, the processing module 1320 is further configured to: calculating the maximum oxygen uptake of a user; inputting the maximum oxygen uptake, the gender of the user, the age of the user and first data into a first model to obtain the physical ability age of the user, wherein the first model is used for calculating the input data to output the physical ability age, the first data comprises the middle-high strength duration of the user movement in a first preset duration and/or the historical physical ability age measured by the user in a second preset duration, the middle-high strength duration of the user movement comprises the sum of durations of the heart rate of the user in the first preset duration being greater than a first value, and/or the sum of durations of the step frequency of the user in the first preset duration being greater than a second value.
Optionally, the historical physical energy age measured by the user in the second preset time period includes a maximum value of physical energy ages measured by the user in the second preset time period, a minimum value of physical energy ages measured by the user in the second preset time period, and a physical energy age measured by the user last time.
Optionally, the wearable device 1300 further comprises a transceiver module. The gender of the user, the age of the user and the first data are transmitted by the terminal equipment when the terminal equipment is in a connection state; the processing module 1320 is further to: generating a physical fitness age measurement record comprising a physical fitness age of the user and a measurement time of the physical fitness age of the user; the transceiver module is used for: if the physical fitness age measurement record is in a connection state with the terminal equipment, sending the physical fitness age measurement record to the terminal equipment for updating the first data; updated first data from the terminal device is received.
Optionally, the processing module 1320 is further configured to: if the first data is not in a connection state with the terminal equipment, updating the first data based on the physical ability and age measurement record; and saving the updated first data.
Optionally, the wearable device 1300 further includes a communication module and a transceiver module. The communication module is used for: establishing connection with terminal equipment; the transceiver module is used for: the updated first data is sent to the terminal equipment so as to be used for updating the second data stored in the terminal equipment; and receiving updated second data from the terminal equipment.
Optionally, the wearable device 1300 further comprises a transceiver module. The transceiver module is used for: receiving a first query instruction of the terminal equipment, wherein the first query instruction is used for querying whether a measuring function of the physical ability age is supported or not; and sending a first response message to the terminal equipment, wherein the first response message is used for indicating the support of the measuring function of the physical ability age.
Optionally, the display module 1310 is further configured to: in the physical performance testing process of the user, a fifth interface is displayed, wherein the fifth interface comprises the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user, and the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user all change along with the movement of the user.
Optionally, the processing module 1320 is further configured to: acquiring heart rate, step frequency and speed matching of a user in the physical ability test process of the user; determining a fuel ratio based on the heart rate, the step frequency and the matching speed of the user; determining a fat burning rate of the user, accumulated fat of the user and a first fat ratio of the user based on the fat burning proportion, wherein the accumulated fat of the user is in grams, and the fat burning rate of the user is in kilocalories per minute; wherein the first fat ratio of the user is equal to the fat burning ratio; the fat burning ratio is multiplied by the calories burned per second and divided by 9 equals the user's cumulative fat; the fat burning ratio is multiplied by the calories consumed per second and then by 12, which is equal to the user's fat burning rate.
Optionally, the processing module 1320 is further configured to: detecting that the physical ability test is finished; the display module 1310 is further configured to: a sixth interface is displayed, the sixth interface including the fat burning heat of the user, the second fat duty cycle of the user, and the estimated weight of the fat of the user.
Optionally, the processing module 1320 is further configured to: determining a fat heat of the user, a second fat duty cycle of the user, and a fat estimated weight of the user based on the fat burning rate of the user; wherein the sum of the fat burning rates of the user during the movement time of the user is equal to the fat burning heat of the user; the fat burning heat of the user divided by the calories consumed by the user during exercise equals the user's second fat duty cycle; the heat of fat burning of the user divided by 9 is equal to the estimated weight of fat of the user.
It should be appreciated that the wearable device 1300 herein is embodied in the form of functional modules. The term module herein may refer to an application specific integrated circuit (application specific integrated circuit, ASIC), an electronic circuit, a processor (e.g., a shared, dedicated, or group processor, etc.) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that support the described functionality. In an alternative example, it may be understood by those skilled in the art that the wearable device 1300 may be specifically a wearable device in the above method embodiment, or the functions of the wearable device in the above method embodiment may be integrated in the wearable device 1300, and the wearable device 1300 may be used to perform each flow and/or step corresponding to the wearable device in the above method embodiment, which is not repeated herein.
The wearable device 1300 has functions of implementing corresponding steps executed by the wearable device in the method embodiment; the above functions may be implemented by hardware, or may be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the functions described above.
In an embodiment of the application, the wearable device 1300 in fig. 13 may also be a chip or a chip system, for example: system on chip (SoC).
Fig. 14 is a schematic block diagram of another wearable device 1400 provided by an embodiment of the application. The wearable device 1400 includes: a processor 1410, a transceiver 1420, and a memory 1430. Wherein the processor 1410, the transceiver 1420, and the memory 1430 communicate with each other through an internal connection path, the memory 1430 is configured to store instructions, and the processor 1410 is configured to execute the instructions stored in the memory 1430 to control the transceiver 1420 to transmit signals and/or receive signals.
It should be understood that the wearable device 1400 may be specifically a wearable device in the above method embodiment, or the functions of the wearable device in the above method embodiment may be integrated in the wearable device 1400, and the wearable device 1400 may be used to perform the steps and/or processes corresponding to the wearable device in the above method embodiment. Optionally, the memory 1430 may include read-only memory and random access memory and provide instructions and data to the wearable device 1400. A portion of memory 1430 may also include nonvolatile random access memory. For example, the memory 1430 may also store information of device type. The processor 1410 may be configured to execute instructions stored in the memory 1430, and when the processor 1410 executes the instructions, the processor 1410 may perform the steps and/or processes corresponding to the wearable device in the method embodiments described above.
It is to be appreciated that in embodiments of the application, the processor 1410 may be a central processing unit (central processing unit, CPU), and the processor 1410 may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) 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 be any conventional processor or the like.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor executes instructions in the memory to perform the steps of the method described above in conjunction with its hardware. To avoid repetition, a detailed description is not provided herein.
The application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is used for realizing the method corresponding to the wearable device in the method embodiment.
The application also provides a chip system which is used for supporting the wearable equipment to realize the functions shown in the embodiment of the application in the embodiment of the method.
The present application also provides a computer program product comprising a computer program (which may also be referred to as code, or instructions) which, when run on a computer, is capable of performing the method corresponding to the wearable device shown in the above method embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a specific implementation of the present application, but the scope of the embodiments of the present application is not limited thereto, and any person skilled in the art may easily think about changes or substitutions within the technical scope of the embodiments of the present application, and all changes and substitutions are included in the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.
Claims (15)
1. A method of measuring vital signs, comprising:
the wearable device displays a first interface, wherein the first interface displays physical ability age options;
the wearable equipment responds to the triggering operation of the user on the physical ability and age option, a second interface is displayed, the second interface comprises basic information of the user and a confirmation control, the basic information of the user comprises gender of the user and age of the user, and the confirmation control is used for confirming the basic information of the user;
the wearable device responds to the operation of the user on the confirmation control, and a third interface is displayed, wherein the third interface comprises a movement duration and a movement project so as to instruct the user to conduct physical ability test;
and the wearable equipment detects that the physical ability test is finished and displays the physical ability age of the user.
2. The method of claim 1, wherein prior to the wearable device displaying the second interface, the method further comprises:
the wearable device responds to the triggering operation of the user on the physical ability age option, and a fourth interface is displayed, wherein the fourth interface comprises a first control and a second control, the first control is used for indicating to measure the physical ability age based on physical ability testing, and the second control is used for indicating to measure the physical ability age based on historical motion data of the user;
The wearable device responds to the triggering operation of the user on the first control, and displays the second interface;
and the wearable device responds to the triggering operation of the user on the second control, and displays the physical ability age of the user.
3. The method of claim 1 or 2, wherein prior to said displaying the physical stamina age of the user, the method further comprises:
the wearable device calculates the maximum oxygen uptake of the user;
the wearable device inputs the maximum oxygen intake, the gender of the user, the age of the user and first data into a first model to obtain the physical ability age of the user, the first model is used for calculating the input data to output the physical ability age, the first data comprises middle-high strength duration of the user movement in a first preset duration and/or historical physical ability age measured by the user in a second preset duration, the middle-high strength duration of the user movement comprises the sum of durations of the heart rate of the user being greater than a first value in the first preset duration, and/or the sum of durations of the step frequency of the user being greater than a second value in the first preset duration.
4. The method of claim 3, wherein the historical physical fitness age measured by the user for the second preset time period comprises a maximum value of the physical fitness age measured by the user for the second preset time period, a minimum value of the physical fitness age measured by the user for the second preset time period, and a physical fitness age measured by the user last time.
5. The method according to claim 3 or 4, characterized in that the sex of the user, the age of the user and the first data are transmitted by a terminal device when the wearable device is in a connected state with the terminal device;
the method further comprises the steps of:
the wearable device generates a physical fitness age measurement record comprising a physical fitness age of the user and a measurement time of the physical fitness age of the user;
if the wearable device and the terminal device are in a connection state, the wearable device sends the physical ability and age measurement record to the terminal device for updating the first data;
the wearable device receives the updated first data from the terminal device.
6. The method of claim 5, wherein the method further comprises:
If the wearable device and the terminal device are not in a connection state, the wearable device updates the first data based on the physical ability and age measurement record;
the wearable device stores the updated first data.
7. The method of claim 6, wherein the method further comprises:
the wearable device establishes connection with the terminal device;
the wearable device sends the updated first data to the terminal device so as to update second data stored by the terminal device;
the wearable device receives updated second data from the terminal device.
8. The method of claim 7, wherein before the wearable device sends the updated second data to the terminal device, the method further comprises:
the wearable device receives a first query instruction of the terminal device, wherein the first query instruction is used for querying whether the wearable device supports a measurement function of physical ability age;
the wearable device sends a first response message to the terminal device, wherein the first response message is used for indicating that the wearable device supports a measurement function of the physical ability age.
9. The method according to any one of claims 1 to 8, further comprising:
and displaying a fifth interface in the physical performance testing process of the user, wherein the fifth interface comprises the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user, and the fat burning rate of the user, the accumulated fat of the user and the first fat ratio of the user all change along with the movement of the user.
10. The method of claim 9, wherein prior to said displaying the fifth interface, the method further comprises:
the wearable device obtains the heart rate, the step frequency and the matching speed of the user in the process of physical ability test of the user;
the wearable equipment determines the fat burning proportion based on the heart rate, the step frequency and the matching speed of the user;
the wearable device determines a fat burning rate of the user, accumulated fat of the user and a first fat ratio of the user based on the fat burning proportion, wherein the accumulated fat of the user is in grams, and the fat burning rate of the user is in kilocalories per minute;
wherein the first fat ratio of the user is equal to the fat burning ratio;
The fat ratio is multiplied by calories consumed per second and divided by 9 to be equal to the user's accumulated fat;
the fat ratio is multiplied by calories consumed per second and then by 12 is equal to the user's fat rate.
11. The method according to claim 9 or 10, characterized in that the method further comprises:
the wearable device detects that the fitness test is over, and displays a sixth interface comprising the fat burning heat of the user, a second fat duty cycle of the user, and a fat estimated weight of the user.
12. The method of claim 11, wherein prior to said displaying the sixth interface, the method further comprises:
the wearable device determining a fat burning heat of the user, a second fat duty cycle of the user, and a fat estimated weight of the user based on a fat burning rate of the user;
wherein the sum of the fat burning rates of the user over the user movement period is equal to the fat burning calories of the user;
dividing the fat burning calories of the user by calories consumed by the user during exercise by a second fat duty cycle of the user;
the fat burning heat of the user divided by 9 is equal to the estimated weight of the user's fat.
13. A wearable device, comprising: a processor and a memory;
the memory stores computer-executable instructions;
the processor executing computer-executable instructions stored in the memory to cause the wearable device to perform the method of any of claims 1-12.
14. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method of any one of claims 1 to 12.
15. A computer program product comprising a computer program which, when run, causes a computer to perform the method of any one of claims 1 to 12.
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