A human body component management system and a management method thereof

Abstract

The application discloses a human body component management system and a management method thereof, and relates to the technical field of human body component management. The human body component management system comprises a mobile phone device with a built-in human body dimension image recognition measurement system, an electronic perimeter ruler device, a four-electrode body fat scale device, an eight-electrode body fat scale device or a bone density scanning device, measurement information of the devices is uploaded to a human body component management component through a transfer component, the human body component management component calculates human body component calculation results according to the uploaded device measurement information through corresponding device calculation models, the human body component management component feeds back the human body component calculation results to the corresponding devices through the transfer component, sends the corresponding device calculation models, and sends human body physiological information to some devices, the test results of different devices are associated, different devices are classified according to test accuracy, the test results of devices with higher accuracy levels are used to correct the measurement results of devices with high convenience but low accuracy levels, and therefore, the calculation accuracy of devices with low accuracy levels is improved.

Description

[TECHNICAL FIELD]

[0001] The present application relates to a human body composition management system and a management method thereof. [BACKGROUND]

[0002] There are many kinds of human body composition measurement devices today, but different measurement techniques differ in measurement methods, convenience, and accuracy. Generally, the measurement method of a measurement device with high convenience tends to have lower accuracy, and the measurement method of a measurement device with higher accuracy tends to have higher cost and inconvenient testing. [SUMMARY]

[0003] The present application overcomes the shortcomings of the prior art and provides a human body composition management system and a management method thereof.

[0004] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0005] A human body composition management system, characterized in that it comprises

[0006] A mobile phone device with a built-in human body dimension image recognition measurement system, which is used to estimate human girth information through human body dimension image recognition, calculate human body fat rate according to human girth information, and display self-calculated human body fat rate or feedback human body composition calculation results;

[0007] An electronic girth tape device, which is used to measure human girth information, calculate human body fat rate according to human girth information, and display self-calculated human body fat rate or feedback human body composition calculation results;

[0008] A four-electrode body fat scale device, which is preset with human physiological information, is used to measure human lower body bioelectrical impedance information, calculate human body composition information according to human physiological information and human lower body bioelectrical impedance information, and display self-calculated human body composition information or feedback human body composition calculation results;

[0009] An eight-electrode body fat scale device, which is preset with human physiological information, is used to measure human whole body bioelectrical impedance information, calculate human body composition information according to human physiological information and human whole body bioelectrical impedance information, and display self-calculated human body composition information or feedback human body composition calculation results;

[0010] A bone density scanning device, which is used to measure human body composition by two different energy x-rays, obtain human body composition information, and display self-measured human body composition information or feedback human body composition information;

[0011] The human body composition management component presets the measurement accuracy level of each device and the calculation model of each device based on the measurement information, the calculation model of the device with low accuracy level can correct its parameters according to the data of the device with high accuracy level, and is used for receiving the measurement information of each device and feeding back the corresponding human body composition calculation result through the corresponding calculation model;

[0012] The transfer component is connected with the mobile phone device, the electronic girth tape device, the four-electrode body fat scale device, the eight-electrode body fat scale device, the bone density scanning device and the human body composition management component respectively, is used for uploading the measurement information of each device to the human body composition management component, feeding back the human body composition calculation result of the human body composition management component and the calculation model of the corresponding device in the human body composition management component to the corresponding device, and sending the human physiological information to part of the devices.

[0013] The human body composition management system as described above, characterized in that the human body composition management component comprises an input module connected with the transfer component and used for receiving the measurement information of each device.

[0014] The human body composition management system as described above, characterized in that the human body composition management component comprises a user management module used for setting the user account and the human physiological information, recording the historical measurement information of each device and storing the calculation model of each device.

[0015] The human body composition management system as described above, characterized in that the human body composition management component comprises a data validity judgment module used for judging whether the uploaded measurement information of the device matches the user account in the user management module.

[0016] The human body composition management system as described above, characterized in that the human body composition management component comprises a data correction module used for controlling the calculation model of the device with low accuracy level to correct its parameters according to the calculation result of the device with high accuracy level.

[0017] The human body composition management system as described above, characterized in that the human body composition management component comprises an auxiliary information subscription module used for correlating the measurement information between each device and expanding the calculation result of each device.

[0018] The human body composition management system as described above, characterized in that the human body composition management component comprises a self-learning module, when N sets of effective measurement data and high-accuracy-level device measurement data are uploaded to the device as reference data, the self-learning module is used for recalculating the parameters of the calculation model of the device through regression analysis.

[0019] The human body composition management system as described above, characterized in that the human body composition management component comprises a model updating module, which updates the device calculation model correction parameters in the data correction module and the device calculation model recalculation parameters in the self-learning module to the user management module and uploads to the corresponding device.

[0020] The human body composition management system as described above, characterized in that the human body composition management component comprises an output module for viewing the device measurement information, the calculation module and the calculation result.

[0021] A human body composition management method using the human body composition management system as described above, characterized in that it comprises

[0022] S1, the measurement information of the mobile phone device, the electronic tape measure device, the four-electrode body fat scale device, the eight-electrode body fat scale device or the bone density scanning device built-in human body dimension image recognition measurement system is uploaded to the human body composition management component through the transfer component;

[0023] S2, the human body composition management component calculates the human body composition calculation result through the corresponding device calculation model according to the uploaded device measurement information;

[0024] S3, the human body composition management component feeds back the human body composition calculation result to the corresponding device through the transfer component and sends the corresponding device calculation model, and sends the human physiological information to part of the devices.

[0025] The beneficial effects of the present application are:

[0026] The present application correlates the test results of different devices, classifies different devices according to the test accuracy, uses the test results of the devices with higher accuracy to correct the measurement results of the devices with high convenience but low accuracy, and fuses the measurement data of multiple devices to dynamically optimize the data model, so as to ensure that even in the case where there is no higher-accuracy data for auxiliary correction for a long time, the output result can be more reliable. [BRIEF DESCRIPTION OF DRAWINGS]

[0027] Figure 1 The system structure diagram of the present application. [DETAILED DESCRIPTION]

[0028] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings.

[0029] It should be noted that all directional indications, such as upper, lower, left, right, front, back, etc. in the embodiments of the present application are only used to explain the relative position relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly. In addition, the description of "preferred", "suboptimal" and the like in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "preferred", "suboptimal" can be explicitly or implicitly included at least one of the features.

[0030] As shown in Figure 1 A human body composition management system includes

[0031] A mobile phone device with a built-in human body dimension image recognition measurement system APP is used to estimate human body girth information through human body dimension image recognition, calculate human body fat rate according to human body girth information, and display self-calculated human body fat rate or feedback human body composition calculation results. Specifically, the front and side photos of the human body are taken through the mobile phone camera, the human body girth is estimated through image recognition technology, specifically including neck circumference, chest circumference, waist circumference, hip circumference, thigh circumference and upper arm circumference, and then the body fat rate and other human body composition information are calculated through the regression formula of girth and body fat rate.

[0032] An electronic girth tape device is used to measure human body girth information, calculate human body fat rate according to human body girth information, and display self-calculated human body fat rate or feedback human body composition calculation results. Specifically, the electronic girth tape device generally measures through Hall, grating, capacitance grating and other technologies. The girth information measured in the case is transmitted to the mobile phone through Bluetooth, and the body fat rate and other human body composition information are calculated by using the regression formula of girth and body fat rate, which is more accurate than the image recognition method.

[0033] A four-electrode body fat scale device is preset with human body physiological information, is used to measure human body lower body bioelectrical impedance information, calculate human body composition information according to human body physiological information and human body lower body bioelectrical impedance information, and display self-calculated human body composition information or feedback human body composition calculation results. Specifically, the human body physiological information includes height, weight, age, gender and other parameters, the body fat rate, muscle, water, bone mass and other human body composition information are calculated by measuring the bioelectrical impedance of the lower body of the human body in combination with the height, weight, age, gender and other parameters, which is more accurate than the electronic girth tape, and more parameters can be measured than the girth tape.

[0034] The eight-electrode body fat scale device is provided with preset human physiological information, is used for measuring whole body bioelectrical impedance information of a human body, calculating human body composition information according to the human physiological information and the whole body bioelectrical impedance information, and displaying the calculated human body composition information or the feedback human body composition calculation result. Specifically, the human physiological information includes height, weight, age, gender and other parameters. The body fat rate, muscle, water content, bone mass and other human body composition information of the human body are calculated by measuring the whole body bioelectrical impedance and combining the height, weight and other parameters, and the accuracy is higher than that of the four-electrode body fat scale device.

[0035] The bone density scanning device DEXA is used for measuring human body composition by two different energy x-rays, obtaining human body composition information, and displaying the measured human body composition information or the feedback human body composition information. Specifically, the whole body fat content, whole body muscle content, bone density, visceral fat and other human body composition information can be obtained by measuring the human body composition by two different energy x-rays, and the measurement accuracy is the highest, which is the standard for human body composition measurement.

[0036] The human body composition management component is provided with a measurement accuracy level of each device and a calculation model of each device based on the measurement information. The calculation model of the device with low accuracy level can correct its parameters according to the calculation result of the device with high accuracy level, and is used for receiving the measurement information of each device and feeding back the corresponding human body composition calculation result after calculation by the corresponding calculation model. Specifically, the human body composition management component can run on a server or as an important component of a mobile phone. On the other hand, among the above devices, the mobile phone device with built-in human body dimension image recognition measurement system is the most convenient, only two photos are needed; the electronic tape measure device is the second, the size of the electronic tape measure is small and convenient to carry; the four-electrode body fat scale device needs to be measured barefoot, and the volume is large and not convenient to carry; the eight-electrode body fat scale device needs to be measured barefoot and hold the handle at the same time, and the volume is large and not convenient to carry; the bone density scanning device DEXA needs to be measured in a professional physical examination institution or hospital, and the cost is high and not suitable for daily use. Therefore, the measurement accuracy level of the preset device is sequentially sorted from low to high as the mobile phone device, the electronic tape measure device, the four-electrode body fat scale device, the eight-electrode body fat device and the bone density scanning device.

[0037] The transfer component is connected with the mobile phone device, the electronic tape measure device, the four-electrode body fat scale device, the eight-electrode body fat scale device, the bone density scanning device and the human body composition management component, respectively, is used for uploading the measurement information of each device to the human body composition management component, feeding back the human body composition calculation result of the human body composition management component and the calculation model of the corresponding device in the human body composition management component to the corresponding device, and sending the human physiological information to part of the devices. Specifically, the transfer component can be a gateway or a mobile phone.

[0038] The human body composition management method of the human body composition management system comprises

[0039] S1, the mobile phone device, the electronic girth tape device, the four-electrode body fat scale device, the eight-electrode body fat scale device or the bone density scanning device built-in human body dimension image recognition measurement system measure information is uploaded to the human body composition management component through the transfer component;

[0040] S2, the human body composition management component calculates the human body composition calculation result according to the uploaded device measurement information through the corresponding device calculation model; wherein the device calculation model of the low accuracy level can correct its own parameters according to the high accuracy level device calculation result, so as to improve the calculation accuracy of the low accuracy level device.

[0041] S3, the human body composition management component feeds back the human body composition calculation result and sends the corresponding device calculation model to the corresponding device through the transfer component, and sends the human physiological information to part of the device, so that the device directly uses the device calculation model to calculate the human body composition result by itself.

[0042] As shown in Figure 1 The human body composition management component comprises an input module connected with the transfer component, for receiving the measurement information of each device. Specifically, the input module collects the data of each device, which can be structured data that has been arranged. For example, the girth information obtained by the mobile phone APP through image recognition technology, and the body fat rate calculated through the girth information; the girth information of the electronic girth tape, and the body fat rate calculated through the girth information; the body weight, impedance, body fat rate and other human body composition parameters measured by the four-electrode body fat scale; the body weight, impedance, body fat rate and other human body composition parameters measured by the eight-electrode body fat scale. The data collected by the input module from each device can also be unstructured data, such as the photo of the paper DEXA test report of the bone density scanning device. Since DEXA is a professional medical device, it rarely reserves an interface for connecting to the public network, so the system reserves a function of extracting the test result from the paper report. The paper report can read the information in the report through OCR technology, and convert the user's whole body fat content, whole body muscle content, bone density, visceral fat and other information into structured information for processing by the subsequent modules. The input module can also associate the user's basic information and measurement data, including the user's height, birth date, gender, ID and other human physiological information and personal information.

[0043] As shown in Figure 1As shown, the human body composition management component includes a user management module for setting user accounts and human physiological information, recording historical measurement information of each device, and storing calculation models of each device. Specifically, the user management module can manage all test data according to user IDs, and each piece of data needs to record the actual information such as the height and age of the user at the time of testing. At the same time, a relational database is used, and the data of each device is saved in a list separately, and the devices are associated through IDs. Each device has a calculation model, which is managed according to the user ID and the device model. The calculation model can be used online, that is, the device sends the basic information to the calculation model, and the calculation model returns the human body composition parameters supported by the device. In the initial state, the default model is used, and when the model is updated, the new model is used for calculation. At the same time, the calculation model can also be synchronized to the device for offline use on the device.

[0044] The default model of each device calculation model is circumference body fat rate = A1*waist circumference + A2*hip circumference + A3*chest circumference + A4*thigh circumference + A5*calf circumference + A6*gender + A7; body fat rate of four-electrode body fat scale = B1*body weight + B2*height + B3*gender + B4*age + B5*lower limb impedance + B6; body fat rate of eight-electrode body fat scale = C1*body weight + C2*height + C3*left hand impedance + C4*right hand impedance + C5*torso impedance + C6*left foot impedance + C7*right foot impedance + C8. The coefficients A, B, and C are set to default values when the device is shipped, and the coefficients of the model are recalculated through linear regression according to the body fat rate provided by the higher-precision device during self-learning.

[0045] As shown in Figure 1 The human body composition management component includes a data validity judgment module for judging whether the uploaded device measurement information matches the user account in the user management module. Specifically, the data validity judgment module can judge whether the uploaded data is the real measurement data of the user, so as to avoid data interference caused by measuring with someone else's ID. Whether the change of the user parameter is reasonable is used to judge, such as whether the change of gender and age is reasonable, such as the inconsistency of gender and registration, or the change of birth date, which is marked as invalid data.

[0046] The data validity judgment module can judge whether the data test process uploaded is abnormal. For a body fat scale, if the impedance change in a short period of one week is greater than 10% or the body weight change is greater than 20%, it is marked as abnormal data; for an electronic circumference tape, if the change of a certain circumference in a short period of one week is greater than 10%, it is marked as abnormal data.

[0047] The data validity judgment module can judge whether the data can be used as reference data for correction by the lower accuracy level device. For the DEXA device, the user information on the confirmation report and the user information on the system are matched, mainly the age and gender, which can be used as reference data. For the body fat scale and the electronic girth tape, except for abnormal data, there are 3 valid measurements within a week, and the coefficient of variation of the three measurements is less than 5%, so the average value can be used as reference data, wherein the coefficient of variation C·V=(standard deviation SD / average value Mean)×100%).

[0048] As shown in Figure 1 , the human body composition management component includes a data correction module for controlling the low accuracy level device calculation model to correct its own parameters according to the high accuracy level device calculation result. Specifically, when new data is generated by the device with lower accuracy level, it is checked whether there is a device with higher accuracy level within a week to provide reference for the correction of the device with lower accuracy level.

[0049] All devices with accuracy level higher than the current device are searched from high to low according to the accuracy level. If the following conditions are met, the correction reminder is triggered: the data validity judgment module has already calculated the reference data that can be used; the time of generating the reference data is not more than one week away from the time of generating the new data by the device with lower accuracy level; the difference between the reference data and the new data generated by the device with lower accuracy level is greater than 15%. If the difference is small, there is no need to correct it.

[0050] After the user confirms the correction, a correction value is calculated, and the new data will be added to the correction value. After that, the measurement data of the user using the device will also be added to the correction value until the correction mechanism is triggered again. Among them, the correction value = reference data - measurement value of the device with lower accuracy. Generally, the test device will cooperate with the human body composition management system APP to view the historical data. The user confirmation is also realized on the APP. The data correction module triggers the APP pop-up window to display the reminder of whether to correct. After the user clicks to confirm, the data correction is completed, and the correction value is sent to the corresponding device through the transfer component.

[0051] As shown in Figure 1 , the human body composition management component includes an auxiliary information subscription module for correlating the measurement information between devices and expanding the calculation results of each device. Specifically, the auxiliary information subscription module mainly provides the accurate data measured by each device to other devices for use, with the purpose of improving the accuracy of the calculation of human body composition parameters by other devices. When other devices cannot complete the calculation of certain parameters relying on their own data, the auxiliary information can provide the necessary calculation conditions.

[0052] The subscription data provided by the electronic girth meter and the body fat scale shall meet the following conditions: the latest data without being marked as abnormal; the measurement time is not more than one week from the current time. The subscription data provided by the DEXA shall meet the following conditions: the age is greater than 20 years old, and the measurement time is not more than 3 months from the current time; the age is less than 20 years old, and the measurement time is not more than 1 month from the current time.

[0053] When the eight-electrode body fat scale subscribes the waistline information provided by the electronic girth meter: the eight-electrode body fat scale has the function of calculating visceral fat, and the eight-electrode body fat scale can internally store two calculation formulas, the first one is dependent on bioelectrical impedance, and the second one is dependent on bioelectrical impedance and waistline. When the eight-electrode body fat scale can subscribe to valid waistline data, the second formula is used, otherwise only the first formula is used. When the user is shown the visceral fat data, it is noted whether the waistline is used for auxiliary calculation.

[0054] When the eight-electrode body fat scale subscribes the bone area and bone density information of the DEXA: the eight-electrode body fat scale itself does not have the ability to count bone density, but can calculate bone mass, according to the definition of bone density: bone density = bone mass / bone area. Therefore, only by obtaining the bone area, the eight-electrode body fat scale can increase the function of calculating bone density. When subscribing to bone area and bone density, it is mainly to calibrate the bone density calculated by the eight-electrode, at this time the bone density calculation formula of the eight-electrode body fat scale is: bone density (eight-electrode) = bone mass (eight-electrode) / bone area (DEXA) + OFFSET. OFFSET = bone density (DEXA) - bone mass (eight-electrode calibration) / bone area (DEXA), the data of DEXA is updated, OFFSET and bone area (DEXA) will be updated, OFFSET is generally calculated after the new DEXA data appears, and the first eight-electrode body fat scale measurement data is generated. If the use period is exceeded, the eight-electrode body fat scale will temporarily close the function of calculating bone density. Within the data validity period, the user can use the eight-electrode body fat scale to focus on the change of bone density.

[0055] When the eight-electrode body fat scale subscribes the bone area and bone density information of the DEXA: the eight-electrode body fat scale itself does not have the ability to count bone density, but can calculate bone mass, according to the definition of bone density: bone density = bone mass / bone area. Therefore, only by obtaining the bone area, the eight-electrode body fat scale can increase the function of calculating bone density. When subscribing to bone area and bone density, it is mainly to calibrate the bone density calculated by the eight-electrode, at this time the bone density calculation formula of the eight-electrode body fat scale is: bone density (eight-electrode) = bone mass (eight-electrode) / bone area (DEXA) + OFFSET. OFFSET = bone density (DEXA) - bone mass (eight-electrode calibration) / bone area (DEXA), the data of DEXA is updated, OFFSET and bone area (DEXA) will be updated, OFFSET is generally calculated after the new DEXA data appears, and the first eight-electrode body fat scale measurement data is generated. If the use period is exceeded, the eight-electrode body fat scale will temporarily close the function of calculating bone density. Within the data validity period, the user can use the eight-electrode body fat scale to focus on the change of bone density. Figure 1As shown, the body composition management component includes a self-learning module. When the device uploads N sets of valid measurement data and high-accuracy device calculation results as reference data, it recalculates the device's calculation model parameters through regression analysis. Typically, there are 10 sets of valid measurement data. In this case, the data correction module adjusts measurement results based on single data points, which has a good correction effect in the short term, but the correction effect may decrease over time. However, the self-learning module effectively optimizes the model based on user characteristics. When a certain amount of valid test data and reference data is accumulated, the learning function is triggered. Because this is model optimization for a single user, using a small number of samples will not cause serious overfitting problems. Generally, with 10 pairs of valid original data and reference data, the model parameters can be recalculated through regression analysis. When adjusting the parameters of a device's counting model, the basic model is first retrieved, its features are retained, the coefficients of the features are removed, and then linear regression is performed using the prepared data to obtain new parameters. Generally, the model parameters can be adjusted once every 10 pairs of original data and reference data are added.

[0056] like Figure 1 As shown, the body composition management component includes a model update module. This module updates the device calculation model correction parameters from the data correction module and the device calculation model recalculation parameters from the self-learning module to the user management module and uploads them to the corresponding device. Specifically, after obtaining the new model, the user is prompted to confirm the model update. Typically, the testing device works with the body composition management system app to view historical data. The user confirms the model update on the app, transmits the new model to the corresponding device, sets the correction value on the device to 0, and then synchronously updates the model and correction value maintained in the user management module.

[0057] like Figure 1 As shown, the body composition management component includes an output module for viewing measurement information from various devices, a calculation module, and calculation results. Specifically, relevant information can be viewed through the body composition management system app.

[0058] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. All equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct or indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A body composition management system, characterized by: The application relates to a mobile phone device with a built-in human body dimension image recognition measurement system, which is used for estimating human body girth information through human body dimension image recognition, calculating human body fat rate according to the human body girth information, and displaying the calculated human body fat rate or feedback human body composition calculation results; The application relates to an electronic girth meter device, which is used for measuring human body girth information, calculating human body fat rate according to the human body girth information, and displaying the calculated human body fat rate or feedback human body composition calculation results; The application relates to a four-electrode body fat scale device, which is preset with human body physiological information, used for measuring human body lower body bioelectrical impedance information, calculating human body composition information according to the human body physiological information and the human body lower body bioelectrical impedance information, and displaying the calculated human body composition information or feedback human body composition calculation results; The application relates to an eight-electrode body fat scale device, which is preset with human body physiological information, used for measuring human body whole body bioelectrical impedance information, calculating human body composition information according to the human body physiological information and the human body whole body bioelectrical impedance information, and displaying the calculated human body composition information or feedback human body composition calculation results; The application relates to a bone density scanning device, which is used for measuring human body composition through two different energy x-rays, obtaining human body composition information, and displaying the measured human body composition information or feedback human body composition information; The application relates to a human body composition management component, which is preset with measurement accuracy levels of each device and preset with calculation models of each device based on each measurement information, wherein the calculation model of a device with low accuracy level can correct its own parameters according to data of a device with high accuracy level, is used for receiving measurement information of each device and calculating and feeding back corresponding human body composition calculation results through the corresponding device calculation model, and is used for sending human body physiological information to part of the devices. The application relates to a transfer component, which is connected with the mobile phone device, the electronic girth meter device, the four-electrode body fat scale device, the eight-electrode body fat scale device, the bone density scanning device and the human body composition management component respectively, is used for uploading measurement information of each device to the human body composition management component, feeding back human body composition calculation results of the human body composition management component and the corresponding device calculation model in the human body composition management component to the corresponding device, and sending human body physiological information to part of the devices. The human body composition management component comprises an input module connected with the transfer component and used for receiving measurement information of each device.

2. The body composition management system of claim 1, wherein: The human body composition management component comprises a user management module used for setting a user account and human body physiological information, recording historical measurement information of each device, and storing calculation models of each device.

3. The body composition management system of claim 2, wherein: The human body composition management component comprises a data validity judgment module used for judging whether the uploaded device measurement information matches the user account in the user management module.

4. The body composition management system of claim 3, wherein: The human body composition management component comprises a data correction module used for controlling the calculation model of a device with low accuracy level to correct its own parameters according to the calculation results of a device with high accuracy level.

5. The body composition management system of claim 4, wherein: The human body composition management component comprises an auxiliary information subscription module used for correlating measurement information among each device and expanding the calculation results of each device.

6. The body composition management system of claim 5, wherein: The human body composition management component comprises a self-learning module, which is used for recalculating parameters of a device calculation model through regression analysis when N groups of effective measurement data and high-accuracy-level device measurement data are uploaded to the device as reference data.

7. A body composition management system according to claim 6, wherein: ​ 8. The body composition management system of claim 7, wherein: The human body composition management component includes a model updating module, which updates the device calculation model correction parameters in the data correction module and the device calculation model recalculation parameters in the self-learning module to the user management module and uploads them to the corresponding device.

9. A body composition management system according to claim 8, wherein: The human body composition management component includes an output module for viewing the device measurement information, the calculation module, and the calculation results.

10. A body composition management method using the body composition management system according to any one of claims 1 to 9, characterized by: It includes S1. The measurement information of the mobile phone device, the electronic tape measure device, the four-electrode body fat scale device, the eight-electrode body fat scale device, or the bone density scanning device with built-in human body dimension image recognition measurement system is uploaded to the human body composition management component through the transfer component; S2. The human body composition management component calculates the human body composition calculation results according to the uploaded device measurement information through the corresponding device calculation model; S3. The human body composition management component feeds back the human body composition calculation results to the corresponding device through the transfer component, sends the corresponding device calculation model, and sends the human physiological information to part of the devices.

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