KR20200042392A - Apparatus and method of generating index value for comparing body composition changing performance - Google Patents

Abstract

Provided is a computing device for generating an index value to compare performance of a body composition change between users having different body composition. The computing device may comprise: a communication unit obtaining body composition data of a user from a connected body composition measurement device or updating the amount of a body composition change during a first period; a processor calculating a second period required for a pre-selected user group to achieve the amount of the body composition change; and an output unit generating an index value to compare performance of the body composition change between users having different body composition by using the first period and the second period.

Description

Apparatus and method for generating index values to compare body composition change performance {APPARATUS AND METHOD OF GENERATING INDEX VALUE FOR COMPARING BODY COMPOSITION CHANGING PERFORMANCE}

The following description relates to an apparatus and method for generating an index value for comparing body composition change performance between users having different body composition.

As more and more people are pursuing life values such as well-being or LOHAS (Lifestyle of Health and Sustainability), the healthcare market is steadily growing accordingly. Today, people measure their changes in body composition using body composition measuring devices placed in fitness centers, etc., and are analyzing their health status through the results.

However, in the case of the prior art, even if a plurality of users went on a diet for the same period, it was impossible to objectively compare who was on a better diet or not. This is because each user has different physical characteristics such as sex, age, height, weight, body fat mass, and skeletal muscle mass and initial body composition. For example, even if two different users lose the same amount of body fat, there is a need to calculate the performance differently because the time and effort required to achieve the change in body composition differ according to personal characteristics such as the initial body fat amount.

Korean Patent Registration No. 1470593 discloses an invention related to a method and apparatus for measuring a fitness index for grasping a user's basic fitness status. Specifically, the target patent includes a configuration that calculates a user's overall fitness index by applying a specific weight to each of cardiopulmonary endurance, muscle strength, muscular endurance, balance, flexibility, and body composition among the fitness elements. However, no technical idea has been disclosed as to how to compare changes in body composition of different users.

According to at least one embodiment, an apparatus and method for generating an index value that can objectively compare performance of changes in body composition between users having different physical characteristics and body composition are disclosed.

According to one aspect, a computing device for generating an index value for comparing performance of changes in body composition between users having different body composition is provided. The computing device is a communication unit that obtains the user's body composition data from the connected body composition measurement device or updates the user's body composition change amount during the first period, and calculates a second period required by a pre-selected user group to achieve the body composition change amount It may include a processor and an output unit that generates an index value that compares the performance of changes in body composition between users having different body components using the first period and the second period.

According to an embodiment, the processor selects a first user group having a reduced body fat amount or an increased skeletal muscle mass in a pre-selected storage device, and each user, age, gender, and height within the first user group has a predetermined correlation. The second user group having the above can be calculated as the previously selected user group.

According to another embodiment, the processor determines a time period required to reach a body fat mass and a skeletal muscle mass after the first period from a body fat mass and a skeletal muscle mass before the first period based on the body composition change data of the second user population. It can be calculated as the second period.

According to another embodiment, when the output unit is implemented as a display, the display may output the generated index value on a screen.

According to another embodiment, when the output unit is implemented as a printer, the printer may output a result sheet including the generated index value.

According to another aspect, a method of displaying an index value for comparing performance of changes in body composition between users having different body composition is provided. The method of displaying the index value may include the step of causing the output device to display an index value that compares the performance of changes in body composition between users having different body components by transmitting a command signal to the output device. The index value may indicate an index value calculated using a first period corresponding to a user's body composition change and a second period required by a preselected user group to achieve the body composition change.

According to one embodiment, the command signal includes a first command signal to display a pre-computed index value, at least one of the first period and the second period, and a second to calculate the index value And a third command signal including a command signal and the first period and calculating the second period corresponding to the first period.

According to another embodiment, the second period is calculated as a period required for the pre-selected user population to reach the body fat mass and skeletal muscle mass before the first period from the user's body mass and skeletal muscle mass after the first period. The selected user group is pre-selected as a second user group in which each of the user, age, gender, and height has a predetermined correlation or higher in the first user group in which body fat is decreased or skeletal muscle mass is increased, and the index value is the first user group. A value obtained by dividing two periods by the first period can be calculated as the index value.

According to another embodiment, the method of displaying the index value includes obtaining the user's body composition data according to a predefined data transaction method, and the user's body composition during the first period based on the obtained body composition data And updating the change and calculating a value obtained by dividing the second period by the first period as the index value.

According to another embodiment, the method for displaying the index value may include a period required to reach a body fat mass and a skeletal muscle mass before the first period of the user to a body fat mass and a skeletal muscle mass after the first period in the preselected user population. The calculation may further include calculating as the second period.

According to another embodiment, the step of obtaining the user's body composition data includes: receiving the user's body composition data from a connected body composition measurement device, receiving the user's body composition data input through a user interface, and An index value including any one of the steps of extracting the body composition data of the user from a designated code image may be displayed.

According to another aspect, an apparatus for measuring body composition is provided that generates an index value for comparing performance of changes in body composition between users having different body components. The body composition measuring device is a user identification unit for identifying a user whose body composition is measured through the body composition measurement device using user information input through a user interface, an electrode unit for measuring current body composition data for the identified user, a plurality of A memory for storing body composition data for a predetermined period of users, updating the amount of change in body composition of the identified user during the first period using the previous body composition data of the identified user received from the memory and the current body composition data, A processor for calculating a second period required for a preselected user group to achieve the amount of change in body composition, and comparing body composition change performance between users having different body composition using the first period and the second period Includes an output that generates exponential values Can.

According to another aspect, a computing device for generating an index value for comparing performance of changes in body composition between users having different body composition is provided. The computing device includes a communication unit that updates a user's first body composition change amount during processing, a processor that calculates a second body composition change amount predicted to be achievable by the pre-selected user group according to the result of the big data analysis, and the first It may include an output unit for generating an index value for comparing body composition change performance between users having different body composition using the body composition change amount and the second body composition change amount.

According to an embodiment, the output unit may generate a value obtained by dividing the amount of change in the first body component by the amount of change in the second body component as the index value.

According to another aspect, a method of displaying an index value for comparing performance of changes in body composition between users having different body composition is provided. The method of displaying the index value may include the step of causing the output device to display an index value that compares the performance of changes in body composition between users having different body components by transmitting a command signal to the output device. The index value may indicate an index value calculated using the first body composition change amount of the user during the first period and the second body composition change amount predicted to be achievable by the preselected user group during the first period.

According to an embodiment, the command signal includes at least one of a first command signal to display a pre-computed exponential value, a change amount of the first body component, and a change amount of the second body component, and a method to calculate the index value. It may include any one of a second command signal and a third command signal that includes the first body composition change amount and calculates the second body composition change amount using the first body composition change amount.

According to another embodiment, the index value may be calculated as a value obtained by dividing the amount of change in the first body component by the amount of change in the second body component.

According to another embodiment, the method for displaying the index value may include obtaining body composition data of the user according to a predefined data transaction method, and retrieving the user of the user during the first period based on the received body composition data. The method may include updating a first body component change amount and calculating a value obtained by dividing the second body component change amount by the first body component change amount as the index value.

According to another aspect, an apparatus for measuring body composition is provided that generates an index value for comparing performance of changes in body composition between users having different body components. The body composition measuring apparatus includes a user identification unit for identifying a user measuring body composition through the body composition measuring apparatus using user information input through a user interface, an electrode unit for measuring current body composition data for the identified user, a plurality of A memory for storing body composition measurement values for a predetermined period of users, using the previous body composition data of the identified user received from the memory and the current body composition data to determine the amount of change in the first body composition of the identified user during the first period. A processor that calculates a second body composition change amount predicted to be achievable during the first period by a user group pre-selected according to the result of the big data analysis, and different body components using the first body composition change amount and the second body composition change amount Sieve between users Minutes may comprise an output for generating an index value to be compared for changes in performance.

1 is a block diagram of an apparatus for generating an index value for comparing performance of changes in body composition according to an embodiment.
2A and 2B are exemplary diagrams for explaining a process in which an index value generating device calculates an index value according to another embodiment.
3 is an exemplary diagram illustrating a process of an index value generating device calculating an index value according to another embodiment.
FIG. 4 is an exemplary diagram illustrating a process in which an index value generating device calculates an index value when a plurality of body components is changed according to another embodiment.
5 is an exemplary diagram illustrating various embodiments in which an index value generating device acquires body composition data.
6 illustrates a user interface displaying an index value according to an embodiment.
7 illustrates a body composition measuring device generating an index value according to an embodiment.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be implemented in various forms. Accordingly, the embodiments are not limited to a specific disclosure form, and the scope of the present specification includes modifications, equivalents, or substitutes included in the technical spirit.

The terms first or second may be used to describe various components, but these terms should be interpreted only for the purpose of distinguishing one component from other components. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

When an element is said to be "connected" to another element, it should be understood that other elements may be present, either directly connected to or connected to the other element.

Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as “include” or “have” are intended to designate the existence of a described feature, number, step, action, component, part, or combination thereof, and one or more other features, numbers, or steps. It should be understood that it does not preclude the existence or addition possibility of the operation, components, parts or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art. Terms such as those defined in a commonly used dictionary should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined herein. Does not.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. In describing with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of reference numerals, and duplicate descriptions thereof will be omitted.

1 is a block diagram of an apparatus for generating an index value for comparing performance of changes in body composition according to an embodiment. The index value generating device 100 may generate an index value for comparing body composition change performance among users having different body components. More specifically, the index value generating apparatus 100 may generate a first index value for objectively comparing the rate of change in body composition between different users. In addition, the index value generating apparatus 100 may generate a second index value for objectively comparing the rate of change in body composition between different users based on the target value of the body composition.

Referring to FIG. 1, the index value generating apparatus 100 may include a communication unit 110, a processor 120, and an output unit 130. For example, the index value generating device 100 may be implemented in the form of a computing device or a user terminal for generating an index value. The communication unit 110 may obtain body composition data from a body composition measurement device connected through a communication interface. Specifically, the communication unit 110 may be implemented in the form of a communication module including a communication interface. For example, the communication interfaces include Wireless LAN (WLAN), Wireless Fidelity (WiFi) Direct, Digital Living Network Alliance (DLNA), Wireless broadband (Wibro), World Interoperability for Microwave Access (Wimax), High Speed Downlink Packet Access (HSDPA), etc. The wireless Internet interface and Bluetooth (Bluetooth ™), Radio Frequency Identification (RFID), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication) You can. In addition, the communication interface may represent any interface (eg, a wired interface) capable of communicating with the outside.

The communication unit 110 may update the change in body composition of the user during the first period based on the obtained body composition data. As an embodiment, the communication unit 110 may obtain body composition data from the connected body composition measurement device, compare the obtained body composition data with the previous body composition data, and calculate and update the body composition change amount during the first period. In addition, as another embodiment, the communication unit 110 may receive the body composition change amount during the first period from the body composition measurement device having a storage function. In the following description, the first period may denote a time interval between the second time point when the body user data is measured again after a predetermined time has elapsed from the first time point when the specific user has measured the body composition data.

The processor 120 may calculate a second period required by the pre-selected user group to achieve a change in body composition of the user. Specifically, the processor 120 may select a first user group in which the amount of body fat is decreased or the amount of skeletal muscle is increased in the pre-selected storage device. The storage device may be implemented in the form of a storage device based on a network connection, such as a cloud server, as well as a storage device such as a hard disk or USB (Universal Serial Bus).

In addition, the processor 120 may include a 2-1 user group having a predetermined correlation or higher based on the age of the user within the first user group, or a second correlation having a predetermined correlation or higher based on the gender of the user. Based on the 2-2 user group and the height of the user, a 2-3 user group having a predetermined correlation or higher may be extracted. Also, the processor 120 may calculate users existing in the 2-1 user group, the 2-2 user group, and the 2-3 user group as the pre-selected user group (= second user group). .

The processor 120 is necessary for the second user group to achieve a change in body fat mass and / or a skeletal muscle mass change achieved by the user between the first periods according to the big data analysis based on the body composition change data of the second user group calculated above. The period can be calculated as the second period.

The output unit 130 may generate an index value that compares body composition change performance between users having different body components using the first period and the second period calculated by the processor 120. The output unit 130 may be implemented in the form of an output device that displays the result of processing the transactiond data to the user.

As an embodiment, when the output unit 130 is implemented as a display, the display may output the generated index value on the screen to display the body composition change performance to the user. As another embodiment, when the output unit 130 is implemented as a printer, the printer may output a result sheet including the generated index value to the user. The descriptions of the displays and printers described above are merely exemplary descriptions for ease of understanding and should not be construed as limiting or limiting other embodiments. For example, it will be said that the embodiment in which the output unit 130 is implemented as a speaker outputting a user's body composition change performance through a voice signal is also included in the spirit of the invention.

As another embodiment, the index value generating apparatus 100 may calculate the first index value and the second index value based on the change in body composition. The communication unit 110 may update the user's first body composition change amount during the first period based on the body composition data received from the connected body composition measurement device. The processor 120 may calculate a second body composition change amount predicted to be achievable for a first period by a user group pre-selected according to the result of the big data analysis. The output unit 130 may generate an index value that compares the performance of changes in body composition between users having different body components by using the first body composition change amount and the second body composition change amount. Specifically, the output unit 130 may calculate a value obtained by dividing the amount of change in the first body component by the amount of change in the second body component as the first index value.

The processor 120 may select a first user group in which the amount of body fat is decreased or the amount of skeletal muscle is increased in the pre-selected storage device. In addition, the processor 120 may calculate a second user group having a predetermined correlation or higher with each user, age, gender, and height within the first user group as a pre-selected user group.

As another embodiment, the processor 120 may calculate a third body composition change amount predicted to be achievable by a pre-selected user group during a third period representing the entire diet period set for the user according to the big data analysis result. For example, the third body composition change amount may include a body composition change amount for each of a plurality of body composition parameters, such as body fat amount and skeletal muscle amount. The output unit 130 may generate an index value that compares the performance of changes in body composition between users having different body components by using the first body composition change amount and the third body composition change amount. Specifically, the output unit 130 may calculate a value obtained by dividing the amount of change in the first body component by the amount of change in the third body component as the second index value.

In the embodiment described with reference to FIG. 1, the index value generating apparatus 100 acquires body composition data, directly calculates the first period and the second period, and uses the calculated first period and second period to calculate the index value The process of creating it is explained. However, in the process of implementing the present embodiment, the configuration for calculating the exponent value is distributed through a plurality of subjects, and finally, it may be implemented by transmitting a command signal to output the exponent value. Hereinafter, the embodiment will be described in more detail.

2A and 2B are exemplary diagrams for explaining a process in which an index value generating device calculates an index value according to another embodiment. Referring to FIG. 2A, a process in which the first index value and the second index value are calculated using the body composition data of each of the user A, the user B, and the user C having different body components is illustrated.

The process of calculating the first index value and the second index value may be performed in-house in the body composition measuring device, a server running an application or a web service that outputs a body composition change performance, or a user executing the application and the web service It may be performed through a terminal or a computer. In addition, generating a command signal to output a first index value and a second index value that are final results by transmitting and receiving only the result of the processed data transaction by a plurality of subjects distributedly processing a series of calculation processes is also the scope of the present embodiment. It is said to be included in.

In the embodiment of FIG. 2A, the first period may indicate a period of change in body composition of a user who has performed at least two body composition measurements. Specifically, in FIG. 2A, a case in which all of the user A, the user B, and the user C took the same 30-day period from the first time point before the diet progressing to the second time point during which the diet was continued is performed. User A lost 2 kg of body fat during the first period representing the actual diet period, user B also lost 2 kg of body fat, and user C lost 1 kg of body fat. In this case, the index value generating device may calculate a second period corresponding to each user. Specifically, the second period may indicate a diet required period calculated through big data analysis from a group of users matching a specific user. That is, the index value generating device extracts a user group that shares a correlation between a particular user's personal characteristics and a predetermined value through big data analysis, and analyzes probability and statistical analysis of the extracted result (eg, a preselected user group). It is possible to provide an effect of calculating the second period with high reliability as a period for dieting by performing.

In addition, when the user's body composition change is improved in a bad direction based on the initial body composition data, the period required for diet may be calculated as a negative value as a period required to restore the increased amount of body fat.

According to this principle, the second period of user A having the same amount of body composition change is predicted as 10 days, and the second period of other user B may be predicted as 30 days. Likewise, the index value generating device can predict the second period of the user C as 45 days based on the big data analysis. The apparatus for generating an index value may calculate a first index value related to the rate of change in body composition of the user according to Equation 1 below.

In Equation 1, the first period is described as an actual diet period and the second period as a diet required period for ease of understanding, but the actual body composition change period based on an increase in skeletal muscle mass and a decrease in body water content is used as the first period. Then, it is obvious to the expert in the technical field to use the period required for body composition change as the second period, and it will be said to be included in the spirit of the present embodiment.

The apparatus for generating an index value may predict the period required for a user group related to user A to lose 2 kg of body fat by using the initial body composition and personal characteristics of user A as 10 days. In this case, since the user A made a change in body composition corresponding to 10 days as the second period for 30 days as the first period, the apparatus for generating an index value can calculate the first index value for the rate of change in body composition as 0.33.

As another embodiment, the apparatus for generating an index value may generate a second index value indicating a rate of change in body composition with respect to a reference target value. 2A, a third period corresponding to each user is illustrated. The third period may be a predetermined period according to the user identification information, a period input by an expert such as a trainer, or a pre-selected user group may indicate a required period predicted to achieve the target value. In this case, the index value generating device may calculate the second index value associated with the rate of change of the body composition of the user according to Equation 2 below.

For example, since the user A generates a body composition change amount corresponding to the 10th day as the second period compared to the 3rd period (60 days), which is a preset total diet period, the second index value representing the body composition change rate is 10/60 = Can be calculated as about 17%.

FIG. 2B shows a case in which all users have additionally passed 15 days without a change in body composition in order to clearly explain the meanings of the first index value and the second index value proposed in this embodiment. The user A is unable to make an additional change in body composition for the first time, 45 days, and has created a change in body composition for the second period, 10 days, so the exponential value generating device sets the first exponent value for the rate of change in body composition to 10/45. = It can be calculated from about 0.22. However, since the user A generated only the amount of change in body composition corresponding to the 10th day as the second period compared to the third period (60 days), which is the preset total diet period, the second index value representing the rate of change of body composition is 10/60 = about As 17%, it can be fixed as in the embodiment of Fig. 2A. With the above principle, it may be obvious to those skilled in the art that the first exponent values of the remaining users B and C may be newly calculated.

The index value generating device of the present embodiment determines how much of the diet is completed compared to the first index value and the final diet goal to compare the different speeds of dieting with different users so far to reach the diet goal. By outputting the second index value, the effect of comparing diet performance more accurately can be expected.

3 is an exemplary diagram illustrating a process of an index value generating device calculating an index value according to another embodiment. Referring to FIG. 3, a process of calculating a first index value and a second index value using body composition data of each of user A, user B, and user C having different body components is illustrated. 2A and 2B, the body composition measuring apparatus of this embodiment is an index for comparing diet rates between users with different body components in a manner that predicts and tracks body composition change rather than a time period. You can create a value.

Also in the embodiment of FIG. 3, a case is described in which the same 30-day period is taken from the first time point when the user A, the user B, and the user C are all before the diet progresses to the second time point during which the diet continues. During the actual diet period of 30 days, user A lost 2 kg of body fat, user B also lost 2 kg of body fat, and user C lost 1 kg of body fat. In addition, in this embodiment, the entire diet period is 60 days, and a case in which users' diets are in progress is described.

The index value generating apparatus of this embodiment extracts a user group that shares a correlation between a particular user's personal characteristics and a predetermined value or more through big data analysis, and provides statistical values for the extracted result (eg, a preselected user group). Accordingly, the final target change amount corresponding to the entire diet period and the intermediate target change amount corresponding to the actual diet period can be calculated. Specifically, the index value generating device may calculate that user A must lose -6 kg on the 30th day to lose 10 kg of body fat during the entire diet period of 60 days. The index value generating device of the present embodiment provides an effect of calculating the intermediate target change amount more fitted to each user by setting the intermediate target change amount based on big data analysis, not arithmetic calculation based on the final target change amount. can do.

The apparatus for generating an index value may calculate a first index value related to a user's rate of change in body composition according to Equation 3 below.

With this principle, the user A had to lose 6 kg of body fat on the 30th day as an intermediate target change amount, but actually lost only 2 kg, so the index value generating device calculates the first index value for the rate of change in body composition as 0.33. You can.

In addition, the index value generating device may calculate a second index value related to the rate of change of the body composition of the user according to Equation 4 below.

In this case, the user A has a final target change amount of 10 kg of body fat during the entire diet period of 60 days, but the actual weight loss is only 2 kg, so the second index value can be calculated as 20%. As described above, the apparatus for generating an index value of this embodiment diets at an appropriate rate to some extent more accurately so far according to the intermediate target change amount and the final target change amount predicted using the user group according to the big data analysis based on the current user's body composition state. The effect of outputting a first index value to compare whether or not to proceed and a second index value indicating how much a diet has been completed compared to a final diet target can be expected.

In the above-described embodiment, a process in which an index value is generated when one parameter (for example, body fat amount) of a plurality of body composition parameters of users is changed to help understanding has been described. Hereinafter, a process of calculating the first index value and the second index value when a plurality of body composition parameters of users are simultaneously changed will be described.

FIG. 4 is an exemplary diagram illustrating a process in which an index value generating device calculates an index value when a plurality of body components is changed according to another embodiment. In the embodiment of FIG. 4, user A, user B, and user C all changed body composition for 30 days (the first period) from the first time point indicating before the start of the diet to the second time point during the diet. Specifically, during the actual diet period of 30 days, user A lost 2 kg of body fat, increased 3 kg of skeletal muscle mass, and user B also lost 2 kg of body fat, and increased 3 kg of skeletal muscle mass. In addition, user C lost 1 kg of body fat and increased skeletal muscle mass of 3 kg. The apparatus for generating an index value may extract a user group corresponding to user A using the personal characteristics of user A (such as sex or height) and initial body composition data. In addition, the index value generating device requires a 10-day diet period for the pre-selected user group to lose 2 kg of body fat using the big data analysis result including the amount of change in body composition of the extracted user group, and to increase the skeletal muscle 3 kg. Calculate that a 45 day diet period is required. As a result, the index value generating device may calculate the total diet required period of each user by using the required period (second period) corresponding to each of the plurality of body composition parameters. In the case of user A, since the body composition change amount of a plurality of body composition parameters corresponding to the second period (diet required period) of 55 days for 30 days in the first period (actual diet period) was achieved, the first aspect of the rate of change in body composition The exponent value can be calculated according to Equation 1 as 55/30 = about 1.83. In addition, in the case of user B, since the amount of change in body composition corresponding to 45 days as the second period was achieved during the first period of 30 days, the first index value for the rate of change in body composition may be calculated as 45/30 = about 1.5. .

The apparatus for generating an index value according to the present embodiment can predict a period required for a pre-selected user group matching a user to achieve a predetermined change in body composition based on big data analysis. The required period may be predicted for each body composition parameter. For example, in a state where the amount of body fat is high, a small resource is required to lose body fat, but in a state where the amount of body fat is small, more resources are required to lose the same body fat. The apparatus for generating an index value of this embodiment calculates a period required for diet from a user group having a correlation between a user's personal characteristics and body composition specifications and a predetermined value or more, and generates index values for a body composition change rate and a body composition change rate, respectively, to generate different body components. It is possible to compare the performance of changes in body composition among users having.

In addition, the index value generating device may generate an index value using effort scores or effort indexes corresponding to the actual amount of change in body composition of the user. For example, the effort score or the effort index may indicate a score or index required by the user group to achieve a predetermined change in body composition according to a predetermined condition.

5 is an exemplary diagram illustrating various embodiments in which an index value generating device acquires body composition data. Referring to FIG. 5, the index value generating apparatus 500 may acquire body composition data of a user based on various embodiments 511, 512, and 513. The index value generating apparatus 500 may acquire user's body composition data according to a predefined data transaction method. The predefined data transaction method will be described in more detail below.

As an embodiment, the index value generating apparatus 500 may obtain body composition data by receiving 511 the user's body composition data from a connected body composition measurement device. The exponential value generating device 500 and the body composition measuring device may transmit and receive data through a communication interface. For the communication interface, the above-described description may be applied as it is, and detailed description thereof will be omitted.

As another embodiment, the index value generating apparatus 500 may acquire 512 the body composition data of the user input through the user interface. For example, the user interface may be implemented as a graphic object on the user terminal. For example, the user may manually input his body composition data through an input device such as a mouse or keyboard. In addition, the user can input his body composition data by touching the display screen on the user terminal.

As another embodiment, the index value generating apparatus 500 may extract 513 the body composition data of the user from the designated code image. For example, the designated code image may be implemented as an information code, such as a barcode image or a quick response (QR) code image, to represent an image output on a print including body composition data of a specific user. The exponential value generating apparatus 500 may obtain body composition data of a user by recognizing a code image.

The embodiments for obtaining the body composition data described above are merely exemplary descriptions for understanding, and should not be interpreted as limiting or limiting other embodiments. It will be said that the method of obtaining the body composition data by the index value generating device 500 includes the technology that can be borrowed at the time of the patent application or the range that can be evenly substituted in the future. For example, a method of estimating body composition data based on a body image or a method of reading body composition data based on an OCR (Optical Character Reader), etc. It can be described as one of.

6 illustrates a user interface displaying an index value according to an embodiment. Referring to FIG. 6, a user interface showing an index value for comparing body composition change performance between users having different body components is illustrated.

The method of displaying an index value may include sending an instruction signal to an output device, thereby causing the output device to display an index value that compares the performance of changes in body composition between users having different body components. The index value may be calculated using a first period corresponding to a change in body composition of the user and a second period required by a pre-selected user group to achieve the change in body composition.

The method of displaying the index value can be performed by sending any one of a plurality of command signals to the output device. The plurality of command signals includes a first command signal to display a pre-computed index value, at least one of the first period and the second period, and a second command signal and the second command to calculate the index value. It may include a first period, and may include a third command signal to calculate the second period corresponding to the first period.

Referring to the embodiment of FIG. 6, the method of displaying the exponential value may include transmitting a command signal to the output device to display the first graphic object 610 corresponding to skeletal muscle variability. For example, the skeletal muscle change score may represent an index value for the rate of change of skeletal muscle mass according to Equation 1 or Equation 3 described above. The first graphic object 610 may intuitively represent the user state by variously changing the color, position, and size according to the degree of change of the skeletal muscle weight of the user.

Also, the method of displaying the index value may include transmitting a command signal to the output device to display the second graphic object 620 corresponding to the body fat change grade. Similarly, the body fat change score may represent an index value for the rate of change in body fat mass according to Equation 1 or Equation 3 described above.

In addition, the method for displaying the index value is a command signal for the output device to display the third graphic object 630 for the integrated change grade by using the index value for the rate of change of skeletal muscle mass and the rate of change for the amount of body fat. It may include the step of transmitting. In the embodiment of Fig. 6, the results of the evaluation of the body composition of the user are displayed as A + grades, but this is only an illustrative description and should not be construed as limiting or limiting other embodiments.

As another embodiment, the index value shown through the user interface may be calculated using the first body composition change amount of the user during the first period and the second body composition change amount predicted to be achievable by the preselected user population during the first period. It might be. In this case, the method of displaying the index value can be executed by sending any one of a plurality of command signals to the output device. The plurality of command signals includes a first command signal to display a pre-calculated exponential value, at least one of the first body component change amount and the second body component change amount, and a second command signal to calculate the index value and the It may include any one of a third command signal including a first body composition change amount and calculating the second body composition change amount using the first body composition change amount. The index value of this embodiment may be calculated as a value obtained by dividing the amount of change in the first body composition by the amount of change in the second body composition.

In addition, the method of displaying the index value includes obtaining the body composition data of the user according to a predefined data transaction method, and updating the first body composition change amount of the user during the first period based on the received body composition data. The method may further include calculating a value obtained by dividing the amount of change in the second body component by the amount of change in the first body component as the index value.

6 is only an exemplary user interface, various changes are possible in the process of implementing the idea of the present embodiment, and a modified embodiment will also be included in the idea of the present invention. For example, the index value generating device may output an index value for the user's body composition change rate, and it may also be possible to express the index value for the body composition change rate together with a plurality of graphic objects 610, 620, and 630. In this embodiment, the grade (eg, A +) for the rate of change in body composition is displayed, but it is also included in the scope of this embodiment that is expressed as a number such as an overall score or rank.

7 illustrates a body composition measuring device generating an index value according to an embodiment. Referring to FIG. 7, the body composition measuring apparatus 700 may include a user identification unit 710, an electrode unit 720, a memory 730, a processor 740, and an output unit 750. The user identification unit 710 may identify a user whose body composition is measured through the body composition measurement apparatus 700 using user information input through the user interface. For example, the user information may be implemented with a user name, a user's phone number, a user's social security number, or a user's member number.

The electrode unit 720 is in contact with the body of the identified user, and can measure current body composition data of the identified user. Hereinafter, the current body composition data refers to body composition data measured within a predefined time from a point in time when the user contacts the electrode unit 720. In addition, the previous body composition data means body composition data measured a predetermined time before the current body composition data is measured (for example, 1 hour or a day or a week, etc.).

The memory 730 may store body composition data for a predetermined period of time by a plurality of users. For example, the memory 730 may store the first previous body composition data and the current body composition data of the user B together with the first previous body composition data, the second previous body composition data, and the current body composition data of the user A.

The processor 740 may update the amount of change in the body composition of the identified user during the first period using the current body composition data and the previous body composition data of the identified user received from the memory 730. In addition, the processor 740 may calculate a second period required by the pre-selected user population to achieve the amount of change in body composition.

The output unit 750 may generate an index value that compares performance of changes in body composition between users having different body components using the first period and the second period. By way of example, but not limitation, the output unit 750 may be implemented as an output device such as a display or printer.

In another embodiment, the processor 740 of the body composition measuring apparatus 700 uses the previous body composition data of the identified user received from the memory 730 and the current body composition data to identify the first user of the identified user during the first period. Changes in body composition can be updated. In addition, the processor 740 may calculate a second body composition change amount predicted to be achievable for a first period of time by a user group pre-selected according to the result of the big data analysis. In this case, the output unit 750 may generate an index value comparing the performance of body composition change between users having different body components using the first body component change amount and the second body component change amount.

As described above, a method for generating an index value or displaying an index value based on Equation 1, Equation 2, Equation 3, and Equation 4 is applicable to the body composition measuring apparatus 700 as it is. It will be apparent to those skilled in the art that it is included in the scope of the embodiments.

The embodiments described above may be implemented with hardware components, software components, and / or combinations of hardware components and software components. For example, the devices, methods, and components described in the embodiments include, for example, a processor, controller, arithmetic logic unit (ALU), digital signal processor (micro signal processor), microcomputer, field programmable gate (FPGA). It can be implemented using one or more general purpose computers or special purpose computers, such as arrays, programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and / or data may be interpreted by a processing device, or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the transmitted signal wave. The software may be distributed on networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. Computer-readable media may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the computer-readable medium may be specially designed and configured for the embodiments, or may be known and usable by those skilled in the computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and / or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if replaced or substituted by equivalents, appropriate results can be achieved.

Claims (1)

In the computing device for generating an index value for comparing the performance of changes in body composition between users having different body composition,
A communication unit that acquires user's body composition data from a connected body composition measurement device or updates a user's body composition change amount during a first period;
A processor that calculates a second period required by the preselected user population to achieve the amount of body composition change; And
An output unit that generates an index value comparing performance of changes in body composition between users having different body components using the first period and the second period
Computing device comprising a.

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