Human body composition detector and control method thereof

Abstract

The embodiment of the invention provides a human body composition detector and a control method thereof, and relates to the technical field of human body composition detectors. The method comprises the following steps: weighing the assembly; the mounting rack comprises a first mounting rack, a second mounting rack and a third mounting rack, the third mounting rack is fixedly connected with the weighing assembly, the second mounting rack is provided with a hand test assembly, the first mounting rack is provided with a display screen, and the first mounting rack, the second mounting rack and the third mounting rack are all provided with ultrasonic detection devices; the first mounting rack is detachably connected with the second mounting rack through a first connecting assembly, and the second mounting rack is detachably connected with the third mounting rack through a second connecting assembly. By means of the device, the problem that carrying is inconvenient due to the fact that the size is too large is solved, and then the effect of convenient carrying is achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of human body composition detectors, and in particular, to a human body composition detector and a control method thereof. Background Art

[0002] As people pay more and more attention to their health, the demand for accurate monitoring of personal health data continues to increase. As a device that can measure human body composition (such as fat, water, muscle mass, etc.), the accuracy and convenience of the body composition analyzer are crucial to health management.

[0003] Traditional body composition detectors are usually integrated into one piece, which makes the equipment bulky, expensive, and inconvenient to carry, thus limiting the user experience and the efficiency of health management. Summary of the invention

[0004] The embodiment of the present invention provides a human body composition detector and a control method thereof, so as to at least solve the problem in the related art that the device is large in size and inconvenient to carry.

[0005] According to one embodiment of the present invention, a human body composition detector is provided, comprising: Weighing components; The mounting frame includes a first mounting frame, a second mounting frame and a third mounting frame, the third mounting frame is fixedly connected to the weighing assembly, the second mounting frame is provided with a hand test assembly, the first mounting frame is provided with a display screen, and the first mounting frame, the second mounting frame and the third mounting frame are all provided with an ultrasonic detection device; The first mounting frame is detachably connected to the second mounting frame via a first connecting assembly, and the second mounting frame is detachably connected to the third mounting frame via a second connecting assembly.

[0006] In an exemplary embodiment, the hand testing assembly includes handrails disposed on both sides of the second mounting frame and hand detection electrodes fixed on the handrails.

[0007] In an exemplary embodiment, the weighing assembly includes a horizontally disposed foot detection electrode and a weighing pan disposed below the foot detection electrode.

[0008] In an exemplary embodiment, the first connecting assembly includes a first connecting member arranged at the bottom of the first mounting frame and a first connecting hole arranged at the top of the second mounting frame, the vertical interface of the first connecting member is trapezoidal, the inner side wall of the first connecting hole is provided with a first spring jumping bean abutting against the side surface of the first connecting member, and the horizontal cross-sectional area of ​​the first connecting hole is larger than the horizontal cross-sectional area of ​​the first connecting member.

[0009] In an exemplary embodiment, a main control terminal is provided in the third mounting frame, and the main control terminal is electrically connected to the display screen, hand detection electrodes, foot detection electrodes, weighing plate, and ultrasonic detection device, respectively, for receiving detection information of the hand detection electrodes, foot detection electrodes, and weighing plate, converting the detection information to obtain detection data, and displaying the detection data through the display screen.

[0010] In an exemplary embodiment, a rubber stopper is provided around the foot detection electrode, and a flexible conductive foot pad is provided on the surface of the footstep detection electrode.

[0011] In an exemplary embodiment, a horizontal top plate is fixedly provided on the top of the first mounting frame.

[0012] According to another embodiment of the present invention, a method for controlling a human body composition detector is provided, which is applied to the aforementioned human body composition detector, and includes: Acquiring human body detection information, wherein the human body detection information at least includes hand detection information collected by a preset hand detection electrode, foot detection information collected by a preset foot detection electrode, ultrasonic detection information collected by an ultrasonic detection device, and weight information; constructing a first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the weight information and a first matrix construction rule; A first correlation value is determined according to the first analysis matrix and a preset reference matrix, and a component adjustment strategy is determined according to the first correlation value.

[0013] In an exemplary embodiment, constructing the first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the weight information and the first matrix construction rule includes: The hand detection information, foot detection information, ultrasonic detection information, and weight information are micro-filtered by a preset micro-filtering model to obtain an initial data set, wherein the initial data set only includes data that meets specific preset conditions; Scaling the initial data set using a preset micro-feature scaling model to obtain a target data set; The first analysis matrix is ​​constructed according to the target data set and the preset first matrix construction rule.

[0014] In an exemplary embodiment, after scaling the initial data set by using a preset micro-feature scaling model to obtain a target data set, the method further includes: Based on the target data set, determining a grayscale value corresponding to the human body detection information; Obtaining the pixel points of the grayscale value in a preset pixel area; Acquire the distribution characteristics of the pixel points through a first model; The component adjustment strategy is determined according to the distribution characteristics.

[0015] According to yet another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any one of the above method embodiments when run.

[0016] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0017] Through the present invention, since the mounting frame is composed of a first mounting frame, a second mounting frame and a third mounting frame that are detachably connected, the detector can be disassembled into multiple sub-devices during transportation and then assembled and transported separately, which greatly facilitates transportation. Therefore, the problem of large size and inconvenience in transportation can be solved, thereby achieving the effect of improving transportation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a structural schematic diagram of a human body composition detector; Figure 2 yes Figure 1 A magnified view of the structure at center; Figure 3 It is a structural cross-sectional view of a human body composition detector; Figure 4 The invention is a flow chart of a control method of a human body composition detector.

[0019] In the figure: 11, bottom plate; 12, flexible conductive foot pad; 21, first mounting frame; 211, first connecting member; 22, second mounting frame; 221, first connecting hole; 222, first spring jumping bean; 223, adjustment slot; 224, slider; 225, screw member; 23, third mounting frame; 24, top plate; 31, armrest; 32, hand detection electrode; 4, display screen. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0021] In the following, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0022] In addition, in the present application, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to the change in the orientation of the components in the drawings.

[0023] In this application, unless otherwise specified or limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium. In addition, the term "coupling" can be a way of achieving electrical connection for signal transmission.

[0024] As used herein, "about," "substantially," or "approximately" includes the stated value and an average value that is within an acceptable range of variation from the particular value as determined by one of ordinary skill in the art taking into account the measurements in question and the errors associated with the measurement of the particular quantity (i.e., the limitations of the measurement system).

[0025] This embodiment provides a human body composition detector. Figure 1 is a structural diagram of a human body composition detector according to an embodiment of the present invention. Figure 1 As shown, it includes a weighing assembly and a mounting frame, and an ultrasonic detection device arranged in the mounting frame, the weighing assembly includes a horizontally arranged base plate 11, a foot detection electrode arranged on the base plate 11, and a weighing plate arranged below the foot detection electrode, a foot pad is provided at the bottom of the base plate 11, the foot detection electrode is horizontally arranged, and a flexible conductive foot pad 12 is laid on the surface of the foot detection electrode, and a rubber limiter for fiberizing the foot is provided around the foot detection electrode; wherein, the foot detection electrode is used to detect the bioelectrical impedance of the human foot, the weighing plate is used to detect the body weight, the flexible resistance pad is convenient for replacement for different users to avoid cross infection, and the rubber limiter can prompt the foot detection, thereby ensuring the accuracy of the foot detection.

[0026] like Figure 1 and Figure 3As shown, the mounting frame is fixedly connected to one end of the base plate 11 through a supporting plate, and a hand test assembly and a display screen 4 for displaying detection information are provided on the mounting frame. A horizontal top plate 24 is provided on the top of the mounting frame to leave expansion space for function expansion. Generally, a lighting lamp can be installed on the top plate 24, and an ultrasonic detection device can also be installed on the top plate 24, and other detection devices can also be installed; the hand test assembly includes handrails 31 arranged on both sides of the mounting frame and hand detection electrodes 32 fixed on the handrails 31, and the hand detection electrodes 32 are used to detect the bioelectrical impedance of the human hand; the ultrasonic detection device is usually configured as an ultrasonic detector, which is used to detect the user's bone density and water content, etc., so as to compare the detection results based on the bioelectrical impedance of the hands and feet.

[0027] In order to facilitate transportation, a pair of rollers can be set at the bottom of the bottom plate 11, and the mounting frame is designed to be composed of a first mounting frame 21, a second mounting frame 22, and a third mounting frame 23 which are detachably connected from top to bottom, wherein the third mounting frame 23 is fixedly connected to the support plate, the hand detection component is arranged on both sides of the second mounting frame 22, the display screen 4 is arranged on the first mounting frame 21, and the top plate 24 is arranged on the top of the first mounting frame 21; since the mounting frame is divided into three detachably connected parts, the mounting frame can be divided into three parts for transportation during transportation, thereby reducing the transportation space. In addition, in order to adapt to different groups of people, an adjustment device can be provided on the second mounting frame 22 to adjust the height of the armrest 31, wherein the adjustment device includes adjustment slots 223 provided on both sides of the second mounting frame 22, a slider 224 fixedly connected to the end of the armrest 31 away from the hand detection electrode 32, and a screw 225 sleeved on the armrest 31; when the position of the armrest 31 needs to be adjusted, the armrest 31 can be slid, and the slider 224 slides to the target position along the adjustment slot 223 under the action of the armrest 31, and then the screw 225 is tightened to fix the armrest 31.

[0028] Among them, in order to ensure the stability of installation, the first mounting frame 21 is detachably connected to the second mounting frame 22 through a first connecting component, and the second mounting frame 22 is detachably connected to the third mounting frame 23 through a second connecting component, wherein the first connecting component can be the same as the second connecting component or different, as long as the stability of the connection is ensured; a main control end is provided in the third mounting frame 23, and the main control end is electrically connected to the display screen 4, the hand detection electrode 32, the foot detection electrode, the weighing plate, and the ultrasonic detection device, respectively, for receiving the detection information of the hand detection electrode 32, the foot detection electrode, and the weighing plate, and converting the detection information to obtain detection data, and displaying the detection data through the display screen 4; in particular, in order to perform all-round detection of the human body, ultrasonic detection devices can be set on the first mounting frame 21, the second mounting frame 22 and the third mounting frame 23 to perform targeted detection on different positions of the human body.

[0029] like Figure 2 and Figure 3 As shown, the first connecting component includes a first connecting member 211 arranged at the bottom of the first mounting frame 21 and a first connecting hole 221 arranged at the top of the second mounting frame 22. The vertical interface of the first connecting member 211 is trapezoidal, and the inner wall of the first connecting hole 221 is provided with a first spring jumping bean 222 abutting against the side of the first connecting member 211. The horizontal cross-sectional area of ​​the first connecting hole 221 is larger than the horizontal cross-sectional area of ​​the first connecting member 211; when the first connecting member 211 is inserted into the first connecting hole 221, the first connecting member 211 slides along the first connecting hole 221, and the first spring jumping bean 222 shrinks under the action of the first connecting member 211; when the first connecting member 211 slides to the bottom of the first connecting hole 221, since the first connecting member 211 is trapezoidal, the first spring jumping bean 222 gradually recovers along the side of the first connecting member 211, and finally limits the first connecting member 211, thereby ensuring the stability of the first connecting member 211.

[0030] In this embodiment, a human body composition detector control method is provided, which is applied to the aforementioned human body composition detector. Figure 4 is a flow chart of a method for controlling a human body composition detector according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps: Step S401, obtaining human body detection information, wherein the human body detection information at least includes hand detection information collected by a preset hand detection electrode, foot detection information collected by a preset foot detection electrode, ultrasonic detection information collected by an ultrasonic detection device, and weight information; In this embodiment, the hand detection electrodes installed on the armrests on both sides of the second mounting frame of the human composition analyzer are used to collect bioelectrical impedance data of the hands through contact with the user's hands. These electrodes can measure the resistance value when the current passes through the hands; similarly, the foot detection electrodes set on the weighing assembly are used to collect bioelectrical impedance data of the feet when standing. The foot detection electrodes are usually designed to be placed horizontally to ensure the comfort and accuracy of the user when standing. At the same time, the flexible conductive foot pads covered on the surface of the electrodes can enhance conductivity and hygiene. These data can be used to evaluate the body's water content, muscle mass and overall water distribution; due to the different propagation speeds and reflection characteristics of ultrasound in different tissues, the user's bone and soft tissue health status can be evaluated by analyzing these data, so an ultrasonic detection device (such as an ultrasonic detector) can be used to perform non-invasive detection of the user's bone density, muscle mass and body water content, so that the information such as water content and muscle mass obtained through bioelectrical impedance can be compared to ensure the accuracy of the data.

[0031] It should be noted that after obtaining the human body detection data, it needs to be analyzed and converted to facilitate subsequent processing.

[0032] Step S402, constructing a first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the body weight information and a first matrix construction rule; In this embodiment, a first analysis matrix is ​​constructed to facilitate the analysis of the relationship between relevant data, thereby providing data support for subsequent health decisions.

[0033] Among them, the collected data can be preprocessed, including filtering to remove noise, outlier detection and elimination, and possible normalization to ensure the quality and consistency of the data; then the data is further screened using a preset micro-filtering model to ensure that only high-quality data that meets specific health assessment standards is included in the analysis matrix; and the bioelectrical impedance data and ultrasound detection data of the hands and feet are scaled using a micro-feature scaling model to eliminate the impact of different dimensions and magnitudes, so that the data are on the same comparison standard; the preprocessed and scaled data are then integrated into a multidimensional analysis matrix according to a specific mathematical model to reflect different aspects of body composition, such as fat distribution, water content, muscle mass, etc.

[0034] Step S403: determining a first correlation value according to the first analysis matrix and a preset reference matrix, and determining a component adjustment strategy according to the first correlation value.

[0035] In this embodiment, the first analysis matrix is ​​compared with a reference matrix determined based on historical data to determine the degree of correlation between the body composition and the reference value, thereby determining whether the identity composition needs to be adjusted and the best adjustment strategy, thereby achieving health monitoring of the user.

[0036] Among them, the calculation of the first correlation value can be to compare the analysis matrix with a preset reference matrix, determine the difference between the relevant elements in the matrix, thereby forming a difference matrix, and then calculate the value of the difference matrix, and use the calculation result as the first correlation value; the correlation value between the first analysis matrix and the reference matrix can also be directly calculated according to the Pearson correlation coefficient. When the correlation value is within the preset range, the value is used as the first correlation value, otherwise an abnormal error is reported and subsequent adjustment and repair processing is performed; the ingredient adjustment strategy includes dietary adjustment strategy, exercise adjustment strategy, etc. For example, if the analysis results show that the user's body fat percentage is high, it may be necessary to adjust the diet and increase the amount of exercise, and so on.

[0037] In an optional embodiment, constructing the first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the weight information and the first matrix construction rule includes: Step S4021, performing micro-filtering processing on the hand detection information, foot detection information, ultrasonic detection information, and weight information through a preset micro-filtering model to obtain an initial data set, wherein the initial data set only includes data that meets specific preset conditions; Step S4022, scaling the initial data set using a preset micro-feature scaling model to obtain a target data set; Step S4023: construct the first analysis matrix according to the target data set and the preset first matrix construction rule.

[0038] In this embodiment, the micro-filtering process includes filtering the data through a micro-filtering model, and the micro-scaling process includes scaling the data features of the initial data set through a micro-feature scaling model, wherein the micro-filtering model includes: CDFM(D,T,P,F1,F2,...,Fn)=TM(REM(CFM(D,F1,F2,...,Fn),P),T) Among them, CDFM is the initial data set, D is the collection of hand detection information, foot detection information, ultrasonic detection information, and weight information, T is the threshold of each data point, P is the preset category, F1, F2,..., Fn are preset logical conditions, TM is the data point in the data set that is greater than or equal to the threshold, REM is the data point that meets the preset category, and CFM is the data point that meets the preset conditions.

[0039] The micro-feature scaling model can be a normalization model that converts data of different dimensions to the same level so that data from different levels can be compared and calculated.

[0040] In an optional embodiment, after scaling the initial data set by using a preset micro-feature scaling model to obtain a target data set, the method further includes: Step S4024, determining the grayscale value corresponding to the human body detection information based on the target data set; Step S4025, obtaining the pixel points of the grayscale value in the preset pixel area; Step S4026, obtaining the distribution characteristics of the pixel points through the first model; Step S4027, determining the component adjustment strategy according to the distribution characteristics.

[0041] In this embodiment, after the data in the target data set is normalized, its value is usually in the range of 0 to 255. Therefore, in order to observe the characteristics of the parameter data more intuitively, the normalized parameter data can be mapped to pixel points, thereby converting the parameter data into more intuitive pixel data, and then judging whether the relevant data is reasonable based on the distribution characteristics of these pixel points, thereby determining whether the intelligent switch station is working normally.

[0042] Among them, the pixel area is a pixel map area set according to preset rules (such as a nine-square grid or other fixed pixel size); the distribution characteristics include pixel position characteristics, pixel grayscale characteristics, distance distribution between pixels, pixel grayscale distribution, pixel grayscale mean, variance, skewness and regional kurtosis, etc.; the first feature distribution information includes the distribution feature information of pixels under normal circumstances; the first model can be a DNN neural network deep learning model, a spectral clustering model, or a CNN convolutional neural network model or other models.

[0043] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0044] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0045] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0046] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0047] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0048] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0049] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0050] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0051] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0052] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0053] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0054] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A human body composition detector, characterized in that: include: Weighing components; The mounting frame comprises a first mounting frame (21), a second mounting frame (22) and a third mounting frame (23), wherein the third mounting frame (23) is fixedly connected to the weighing assembly, the second mounting frame (22) is provided with a hand test assembly, the first mounting frame (21) is provided with a display screen (4), and the first mounting frame (21), the second mounting frame (22) and the third mounting frame (23) are all provided with an ultrasonic detection device; The first mounting frame (21) is detachably connected to the second mounting frame (22) via a first connecting assembly, and the second mounting frame (22) is detachably connected to the third mounting frame (23) via a second connecting assembly.

2. A human body composition detector according to claim 1, characterized in that: The hand testing assembly comprises handrails (31) arranged on both sides of the second mounting frame (22) and hand detection electrodes (32) fixed on the handrails (31).

3. A human body composition detector according to claim 2, characterized in that: The weighing assembly includes a horizontally arranged foot detection electrode and a weighing pan arranged below the foot detection electrode.

4. A human body composition detector according to claim 1, characterized in that: The first connection assembly comprises a first connection member (211) arranged at the bottom of the first mounting frame (21) and a first connection hole (221) arranged at the top of the second mounting frame (22); the vertical interface of the first connection member (211) is trapezoidal; the inner side wall of the first connection hole (221) is provided with a first spring jumping bean (222) abutting against the side surface of the first connection member (211); and the horizontal cross-sectional area of ​​the first connection hole (221) is larger than the horizontal cross-sectional area of ​​the first connection member (211).

5. A human body composition detector according to claim 3, characterized in that: The third mounting frame (23) is provided with a main control terminal, which is electrically connected to the display screen (4), the hand detection electrode (32), the foot detection electrode, the weighing plate, and the ultrasonic detection device, and is used to receive detection information from the hand detection electrode (32), the foot detection electrode, and the weighing plate, convert the detection information to obtain detection data, and display the detection data through the display screen (4).

6. A human body composition detector according to claim 3, characterized in that: A rubber stopper is arranged around the foot detection electrode, and a flexible conductive foot pad (12) is arranged on the surface of the footstep detection electrode.

7. A human body composition detector according to claim 1, characterized in that: A horizontal top plate (24) is fixedly provided on the top of the first mounting frame (21).

8. A method for controlling a human body composition detector, characterized in that: The human body composition detector applied to any one of claims 1 to 5 comprises: Acquiring human body detection information, wherein the human body detection information at least includes hand detection information collected by a preset hand detection electrode (32), foot detection information collected by a preset foot detection electrode, ultrasonic detection information collected by an ultrasonic detection device, and weight information; constructing a first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the weight information and a first matrix construction rule; A first correlation value is determined according to the first analysis matrix and a preset reference matrix, and a component adjustment strategy is determined according to the first correlation value.

9. The method according to claim 8, characterized in that The step of constructing a first analysis matrix according to the hand detection information, the foot detection information, the ultrasonic detection information, the body weight information and the first matrix construction rule includes: Performing micro-filtering processing on the hand detection information, foot detection information, ultrasonic detection information, and weight information through a preset micro-filtering model to obtain an initial data set, wherein the initial data set only includes data that meets specific preset conditions; Scaling the initial data set using a preset micro-feature scaling model to obtain a target data set; The first analysis matrix is ​​constructed according to the target data set and the preset first matrix construction rule.

10. The method according to claim 9, characterized in that After scaling the initial data set by using the preset micro-feature scaling model to obtain the target data set, the method further includes: Based on the target data set, determining a grayscale value corresponding to the human body detection information; Obtaining the pixel points of the grayscale value in a preset pixel area; Acquire the distribution characteristics of the pixel points through a first model; The component adjustment strategy is determined according to the distribution characteristics.

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