KR100627240B1 - Method and Apparatus of calculating body fat rates using Weight scale - Google Patents

Abstract

The present invention relates to a method and apparatus for calculating body fat percentage using a PC-connected scale.

Such an apparatus of the present invention includes an input unit for inputting the information and the set value of the meter; A memory for storing the inputted measurer information and the body fat comparison table by gender / age; Weight measuring means for measuring the current weight of the measurer; A body mass index calculator for calculating a body mass index from information input through the input unit and weight information stored in the memory after weight measurement; A body fat percentage calculation unit for calculating a body fat percentage from the body mass index by referring to a body mass comparison table corresponding to the measurer; A correction unit for correcting the calculated body fat percentage according to muscle mass, abdominal obesity, skeleton, and the like; And a display unit displaying the corrected body fat percentage.

Therefore, according to the present invention, the body mass index is calculated using body weight and height, which are physical quantities that can be directly measured in the measurement of the human body, and the body fat percentage is calculated, and then corrected according to personal characteristics. Can be.

Body fat percentage, body mass index, body fat index, weight scale, measurement

Description

Method and Apparatus of calculating body fat rates using Weight scale}             

1 is a block diagram showing a computer-connected scale system suitable for application of the present invention;

2 is a functional block diagram of a body fat percentage calculating device according to the present invention;

3 is a flowchart illustrating a procedure for calculating a body fat percentage according to the present invention;

4 is an example of an input screen of the dressing mode to recover from the input step shown in FIG.

5 is an example of an input screen for physique and constitution correction in the input step shown in FIG.

6 is an example of a body fat percentage graph screen by a single view measurement method,

7 is an example of a body fat percentage graph screen by a time series analysis method,

8 is an example of a graph showing a slope of a change in body fat percentage relative to a change in body mass index;

9 is an example of an actual measurement screen of the weight application state according to the present invention,

10 is an example of a measurement screen using a web.

* Explanation of symbols for main parts of the drawings

10: scale 20: personal computer

23: Application Software 30: Internet

40: weight management site 210; Input

220: calculator 230: weight measuring unit

240: Memory 240-1,240-2: DB

250: display unit

The present invention relates to a method and apparatus for calculating body fat percentage, and more particularly, to a method and apparatus for calculating body fat percentage using a PC-connected scale.

Recently, as the public's interest in health and obesity has increased, the use of body fat percentage as a measure of obesity and weight control has been expanded. However, currently available body fat measuring devices are cumbersome to use or risk of electrical contact, and the measured values are inaccurate and cannot be used as a criterion for determining obesity.

Conventional measurement methods for measuring body fat percentage include skinfold thickness measurement method, underwater body fat measurement method (underwater body density method), C / T imaging method, and body fat percentage measurement by body impedance (Bio-). Impedance Analysis) method is known.

Here, the skinfold thickness measurement method is a method of calculating the thickness of the subcutaneous fat by picking the flesh of a specific part of the body with a tool (eg, a caliper) that can measure the thickness. Usually, the triceps of the upper forearm and the sub-shoulder (lower scapula) are picked up to determine the obesity with the thickness. This method has the advantage that it can be measured by anyone using a portable tool, but it requires calculation after measurement, and it is impossible to measure alone depending on the area, and it is a measurement on the inner skin of clothing, which may cause shame. have. In addition, since human skin is soft and elastic, it may cause a large measurement error between a skilled person and a non-elderly person. Subcutaneous fat varies according to gender, age, and individual differences. There is a problem that is difficult to convert.

In addition, the method of measuring body fat (underwater body density) is to measure weight and volume in the water while the subject is immersed in water, and to measure the weight again outside the water. The volume is calculated by taking into account the temperature difference of the volume of water before and after the subject enters the water in consideration of the temperature of the water, and again measuring or calculating the amount of residue (lung, intestine, and the amount of air remaining in the body) of the subject. Use it as a value to get the final volume. These values are used to calculate body fat percentage. Underwater body fat measurement requires a large tank that can be fully submerged and volumetric, and in addition, equipment such as oxygen dilution / helium-oxygen respirator for residue measurement is required. In addition, the subject should be fully trained in the method of measurement and safety before the measurement, and he / she needs a professional who can prepare for the knowledge and safety. The measurement by this method is to be submerged in water with full breath, so the subject has to suffer some pain. For this reason, this method is only used for body fat research in specialized research facilities. This method also measures volume and weight, not directly measuring body fat, and obtains experimental output from these values.

In addition, the method by C / T imaging is not widely used as a method of using a tomography system, but it has been known in recent years by trying in obesity-related medical centers. Tomography allows you to see the cross-section of your body, which you can use to determine the fat area in your cross section. This method is very accurate and groundbreaking in that the distribution and area of the fat layer can be seen while actually seeing it. However, in order to obtain the actual body fat rate, tomography of all parts of the body is performed and the area must be calculated one by one, and there is a problem that a very expensive equipment and a specialist with expertise are needed.

In addition, the measurement of body fat by body impedance (Bio-Impedance Analysis) is the most common method of measuring body fat, and there are many related products. The basic idea of this method is to calculate the body's "electrical volume" to find the body's volume. The volume thus measured is used in the same way as the body fat measurement method. Impedance is a resistance component for alternating current electrical signals. By looking at the human body as a resistor, measuring the impedance when a current with a certain frequency flows, and correcting these values with experimental factors, the "electric volume" can be obtained. Here, the electrical volume refers to the volume of substances that can pass electricity in the human body, that is, substances containing a lot of moisture. Therefore, the volume thus obtained is directly converted into body water content, and the body fat percentage is calculated based on the body water content. Since the measurement of the body fat percentage by impedance is made based on the amount of moisture in the human body, the measurement error can be minimized only when the distribution of moisture in the human body is stable. After drinking a large amount of water or eating / exercising / drinking, there is a problem that the error becomes large because the body's moisture content or moisture distribution is not stable. Another problem is that body fat analyzers are cumbersome to use. In general, the method of holding by hand is used to measure the height and weight of the subject arbitrarily, and there is a problem in that the normal measurement result is obtained when the correct posture is taken during the measurement. Body fat scales including home scales have the advantage of being able to apply the correct weight, rather than inputting the weight arbitrarily, but it is cumbersome to take off the socks.

The present invention provides a method and apparatus for calculating a body fat percentage using a PC (PC) connected scale that can accurately measure body fat by reflecting the characteristics of the individual subject to the maximum based on simple measurements and statistical data to solve the above problems. The purpose is to provide.

In order to achieve the above object, the method of the present invention comprises the steps of generating and storing a body fat control table for each gender and age; Inputting information of the measurer such as the gender, age, height, and weight of the measurer; Measuring weight using a PC (PC) connected digital scale; Calculating a body mass index of the measurer from the measured weight value and the input height value; Reading the body fat control table of the gender and age corresponding to the condition of the measurer in the stored body fat control table and calculating the body fat percentage by the calculated body mass index; Correcting the calculated body fat percentage according to a physical condition of a measurer; And outputting the corrected body fat percentage.

The weight measuring step calculates an actual weight value by subtracting the weight input in the input step from the measured weight value, and calculates an error of the measured weight value according to the change in measurement time using the lowest weight value of previously recorded data. In the correcting and calculating the body fat percentage, when there is no value of the corresponding body mass index in the body fat control table, the body fat percentage is calculated using the slope of the adjacent value.

In addition, in order to achieve the above object, the device of the present invention includes an input unit for inputting the information and the set value, such as the meter; A memory for storing the inputted measurer information and the body fat comparison table by gender / age; Weight measuring means for measuring the current weight of the measurer; A body mass index calculator for calculating a body mass index from information input through the input unit and weight information stored in the memory after weight measurement; A body fat percentage calculation unit for calculating a body fat percentage from the body mass index by referring to a body mass comparison table corresponding to the measurer; A correction unit for correcting the calculated body fat percentage according to muscle mass, abdominal obesity, skeleton, and the like; And a display unit for displaying the corrected body fat percentage.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a computer-connected scale system suitable for application of the present invention, the scale system to which the present invention is applied comprises: a scale 10 capable of measuring the current weight of the measurer; Personal computer (PC: 20) connected to the USB port and inputting the information of the user or managing the data for each person in the DB, the Internet (30) for connecting the personal computer (20) with the weight management site (40), diet related It is composed of a weight management site 40 for providing information or data.

Referring to FIG. 1, the scale 10 is connected to a PC 20 in a USB manner to measure a weight of a measurer, and the personal computer 20 uses hardware 21, an operating system 22, and an application 23. It includes and communicates with the scale 10, processes the body fat percentage calculation procedure according to the present invention, and manages the measurement information of the measurer in a database. The personal computer 20 may access the web server of the weight management site 40 through the Internet 30, and may use various services provided by the weight management site 40.

Figure 2 is a functional block diagram of the body fat percentage calculation apparatus according to the present invention, the device of the present invention, the memory unit 240, weight measuring unit 230, weight measuring unit 230, the measurement information and gender / age body fat comparison table is stored The body fat index that calculates the body fat percentage by comparing the body mass index of the body mass index calculator 222 and the body mass index calculator 22 that calculate the body mass index from the information input through the input unit 210 and the weight information after the measurement with the corresponding body fat control table. The calculator 223 includes a correction unit 250 for correcting the calculated body fat percentage according to muscle / obesity / skeleton, and a display unit 250 for displaying the corrected body fat percentage.

Referring to FIG. 2, the input unit 210 is a keyboard or the like for inputting measurement information required for calculating the body fat percentage, and the control unit 220 is a component implemented by the microprocessor 221 and software, and the body mass index calculation unit 222 and the like. And a body fat percentage calculator 223 and a correction unit 224. The weight measuring unit 230 measures the current weight of the measurer, and various data and a body fat comparison table are stored in advance in the memory 240, and the display unit 250 displays the measured weight value and the body fat percentage.

The body mass index calculator 222 calculates the body mass index using the measured weight value and the height information of the measurer. At this time, in order to measure the correct weight of the measurer, by subtracting the weight set in the dressing and recovery mode to measure more accurate weight, and using the minimum weight in order to consider the change in weight, time series analysis is applied.

The body fat percentage calculator 223 calculates the body fat percentage of the measurer using a body mass index calculated by the body mass index calculator 222 and a standard body fat control table determined according to the gender and age of the measurer. If the calculated body mass index is not in the body fat control table, it is calculated as a slope using adjacent values.

The corrector 224 calculates a more accurate body fat rate by correcting the body fat rate calculated by the body fat rate calculator 223 according to the physical condition (characteristic) of the measurer.

3 is a flowchart illustrating a procedure for calculating a body fat percentage according to the present invention.

Referring to Figure 3, the body fat percentage calculation procedure according to the present invention comprises the step of generating and storing the body fat control table for each gender, age (S1), and inputting the information of the measurer such as sex, age, height, weight of the measurer (S2), Measuring the weight (S3), subtracting the weight to calculate the actual weight value (S3, S4), correcting the error of the measured weight value according to the change of the measurement time (S5), from the measured weight value Calculating the body mass index (S6), reading the body fat index of the corresponding gender age from the stored body fat index (S6), calculating the body fat percentage by the body mass index (S7), and correcting the calculated body fat percentage according to the muscle level (S8), correcting the calculated body fat percentage according to the abdominal obesity degree (S9), correcting the calculated body fat percentage according to the physique (skeleton) (S10), and finally outputting the body fat percentage (S11). In this case, the method may further include correcting by a difference value from the input high precision medical device measurement value.

1. Create / Store Body Fat Control Table

The present invention is a method for converting the body fat percentage based on a standard body fat control table obtained through statistical investigation. Investigate the factors that may affect body fat (sex, age, height, weight, abdominal obesity, muscle mass, physique, etc.) from a large number of specialists and examine the correlation between these factors and body fat percentage. It was. As a result of the investigation, the highly correlated factor is used as a basic index of body fat conversion, and the remaining factors are used to obtain additional corrections. The results showed that the correlation between body mass index (index indicating body weight and height) and body fat percentage was very high.

Therefore, the present invention obtains the body mass index of the measurer as accurately as possible, and classifies the correlation between the body mass index and the body fat percentage according to gender and age to form a comparison table (hereinafter referred to as the 'body fat comparison table'), and then uses the body fat index to calculate the body mass index. It is to convert body fat percentage through measurement. In order to obtain a more accurate body fat percentage, the body fat percentage can be accurately calculated in consideration of the characteristics of the constitution and the body that are exceptional in body size by correcting the calculated body fat percentage in consideration of factors such as abdominal obesity, muscle mass, and physique.

The following Table 1 is an example of a body fat control table that can be used in the present invention, an example of the case of male and 11 years old, and the following Table 2 is an example of the case of male and 12-14 years old.

Body mass index Body fat percentage 8 8 . . . . . . 17.14 18.1 18.05 20 19.97 20.7 21.89 21.4 22 22.1 23.57 24.7 24.55 25.8 25.53 26.9 . . . . . . 35 37.5

Body mass index Body fat percentage 8 8 . . . . . . 17.14 18.1 18.05 20 19.97 20.7 21.89 21.4 22 22.1 23.57 24.7 24.55 25.8 25.53 26.9 . . . . . . 35 37.5

The body fat check list is just one example, and it is natural that the standard body fat check list is changed in various forms according to the circumstances of the times.

2. Setting value input step

4 is an example of an input screen of the dressing and recovery mode in the body fat percentage calculation procedure shown in FIG. 3, and FIG. 5 is an example of an input screen for physique and constitution correction in the body fat percentage calculation procedure shown in FIG. 3.

In the present invention, the physical quantity that can be directly measured is accurately measured and used as an index. The most important and accurate physical quantity that can be measured in the measurement of the human body related to obesity may be referred to as 'weight' and 'height'. The scale 10 applied to the present invention measures the weight with a 50g scale, so it can measure up to a very accurate value.

In addition, accurate body weight measurement is the basis for calculating body fat percentage, but in general, when measuring clothes, the body fat percentage conversion value is bound to show a considerable error. Therefore, there is a need for a method capable of measuring weight in view of the weight. The scale 10 according to the present invention is provided with a function for setting the weight to obtain the weight of a pure body except the weight.

Referring to FIG. 4, the relative weight is input by using the input unit 210 in the dressing mode and return mode input screen, for example, 1.0 Kg in summer, 1.3 Kg in spring and autumn, and 1.8 in winter. Enter Kg.

In addition, the user information input screen, as shown in Figure 5, input the user's name, gender, age, body type, physical activity information, and the like, the target weight, height, chest circumference, waist circumference, hip circumference, etc. Enter it. These inputs can be used for calibration that takes into account the physical characteristics of the measurer.

3. Weight measurement and body mass index

While the actual body fat rate does not change greatly during the day, the existing body fat rate measuring device differs greatly depending on the weight at the time of measurement. This is because the body fat percentage is directly converted based on the weight at the time of measurement. For example, before / after meals, before / after exercise, and / or after stool, the body weight of the human body may show a difference of 1.5 kg or more even during the day. Therefore, the scale 10 of the present invention adopts a measurement method in consideration of the change in weight. That is, since the daily minimum weight may represent the weight that changes during the day, the body weight index is calculated based on the daily minimum weight.

In addition, body mass index does not change significantly over several days compared to weight changes. Ingested food usually changes in body composition within 24 to 48 hours. Therefore, a time series analysis of the weights of the days before the present day can produce a more accurate body mass index. For example, when the measurement results are shown in Table 3 below, the differences in the measurement of body fat percentage by the single-point measurement method and the time series analysis method are as follows.

date January 1 January 2 January 3 January 4 January 5 Actual weight 70 70.55 70.15 72 70 Body fat percentage by single point measurement 22.15 22.29 22.19 22.65 22.15 Body fat percentage by time series measurement 22.15 22.24 22.18 22.31 22.38

First, when comparing the measurement results of Table 3, it can be seen that the method by the single-point measurement in January 4 measured 1.5 ~ 2kg more than the usual body fat was also converted to significantly higher. Given that weight can vary by about 1.5kg during the day and that body fat percentage does not change significantly between days, it is easy to determine that the body fat percentage is incorrect. In contrast, the results of the time series analysis showed that the results were only slightly higher than usual. This is a result obtained by correcting the body weights with the recent weights at the time of January 4 measurement, and it can be seen that the result is close to the actual body fat change. Such changes in body fat percentage can be intuitively confirmed through the graphs shown in FIGS. 6 and 7, so that the validity of both methods can be easily compared.

6 is an example of a body fat percentage graph screen by a conventional single-view measurement method, Figure 7 is an example of a body fat percentage graph screen by a time series analysis method according to the present invention.

In the graph of FIG. 6, it can be seen that the body fat percentage fluctuates excessively according to the weight, so that the reliability of the value decreases. The graph of FIG. 7 shows a gentle change, corresponding to the actual body mass index.

When the correct weight value is obtained by weight correction, the body mass index is calculated from the weight and height. At this time, the body mass index at the time of measurement shows a large difference according to before / after meals, before / after exercise, and before / after stool as described above. Therefore, in the present invention, the body mass index error is determined by time series analysis to reduce the body mass index error at the time of measurement, and the body fat percentage is obtained using this value.

A normal body mass index is obtained by the following equation, and the moving average body mass index according to the present invention is obtained by the following equation. In Equation 2, the moving average weight is obtained as in Equation 3 below.

Body mass index (referred to as a moving average body mass index) by time series analysis according to the present invention is a moving average weight divided by the square of the height as shown in Equation 2, the moving average weight as shown in Equation 3 It is calculated considering the minimum weight of 3 days ago. In other words, the weight is calculated by considering the importance of the date based on the weight of the previous day on the basis of the current date.The importance of the day is 20% of the present, 40% of 1 day ago, 25% of 2 days ago, 3 You can set the day before to 15%.

Table 4 shows an example of obtaining a body mass index according to the present invention when all the previous data are present, and Table 5 below shows an example of obtaining a body mass index according to the present invention when there is no part of the previous data.

 division  weight  importance  Rate applied value  Now  69  20%  69 × 0.2 = 13.8  Lowest 1 day ago  68  40%  27.2  Lowest 2 days ago  69  25%  17.25  Lowest 3 days ago  70  15%  10.50  Final moving average weight  68.75  Final moving average body mass index 68.75 / (1.75) ² = 22.45

Considering the importance of the day, the height of the measuring person is 175 Cm, the minimum weight is 70 Kg 3 days ago, 69 Kg is minimum 2 days ago, 68 Kg is 1 day ago, and 69 Kg is currently measured. The moving average is 68.75 Kg as shown in Table 4, and the final moving average body mass index is 22.45.

If there is no corresponding data, the ratio of the date is added to the ratio of the next date as shown in Table 5 below. In other words, when the height of the measurer is 175 Cm, the minimum weight is 70 Kg 3 days ago, there is no weight measured 2 days ago, the minimum weight is 68 Kg 1 day ago, and the current weight is 69 Kg. In addition to the importance of 1 day ago, the moving average body weight is 68.5 Kg as shown in Table 5, and the final moving average body mass index is 22.38.

 division  weight  importance  Rate applied value  Now  69  20%  69 × 0.2 = 13.8  Lowest 1 day ago  68  40% + 25%  68 × 0.65 = 44.2  0%  Lowest 3 days ago  70  15%  10.50  Final moving average weight  68.5  Final moving average body mass index 68.5 / (1.75) ² = 22.38

4. Body fat percentage calculation stage

Once the body mass index is found, the body fat index is read according to the gender and age of the measurer to calculate the corresponding body fat percentage from the body mass index. In this case, the conversion of body fat percentage by the body fat comparison table may be converted into a case in which there is no data corresponding to the 'body fat comparison table' and a case in which there is no corresponding data. In other words, if there is data that corresponds exactly to the 'body fat comparison table', the body fat index corresponding to the body mass index of the reference table is directly obtained. Obtained from the body fat percentage calculated on the basis of

For example, if the body fat index corresponding to the measurer is shown in Table 6 below, and the calculated body mass index is 23.98, the body fat index of the measurer is 21.2 because the body mass index is present on the body fat index.

Body mass index Body fat percentage . . . 20.44 20.2 23.98 21.2 21.19 21.8 . . .                                             

However, if the body mass index of the measurer is 22.40, the body mass index does not exist in the body fat control table. When the body fat control table is as shown in Table 6 above, the graph of the slope of body fat percentage change relative to the body mass index change is as shown in FIG. 8.

Referring to Figure 8, the horizontal axis represents the body mass index and the vertical axis represents the body fat percentage, according to the present invention the method for obtaining the body fat rate by the slope of the change in body fat percentage change according to the present invention is as follows.

First, after calculating the slope according to the following equation (4), using the slope to obtain the body fat percentage as shown in the following equation (5).

Therefore, as shown in Table 6 and FIG. 8, when the body mass index is 22.40, the body fat percentage is calculated as 20.2 + ((22.40-20.44) * ((21.2-20.2) / (23.98-20.44)) = 20.75.

5. Body fat percentage correction stage

After calculating the body fat percentage by the body fat comparison table as above, the final body fat percentage is obtained through correction as shown in Equation 6 below. In other words, the final body fat percentage is obtained by the body fat percentage obtained from the body fat comparison table according to the body size, body type, and obesity degree.

In the embodiment of the present invention, the correction is a 'muscle correction coefficient' corresponding to the muscle mass of the measurer, the 'abdominal obesity correction coefficient' corresponding to the abdominal obesity degree, and the 'physique correction coefficient' corresponding to the physique (skeleton) as shown in Equation 6 below. This correction factor is merely an example, and may be considered by considering only one of these correction elements or by adding other elements.

Body weights are very different for people with very high muscle mass or thick skeletal muscles, or for people with very low muscle mass or thin bones. Wrestlers, for example, have lower body fat percentages than those of the same body weight, while those with severe abdominal obesity have higher body fat rates. Therefore, it is necessary to correct according to the constitution or constitution of each individual. These corrections allow even those with unusual physique or constitution to get precise measurements.

First, classify according to muscle mass (physique or constitution) through survey of a large number of samples (number of samples with statistical significance) for each item, and obtain a correction factor for each grade. That is, a sample corresponding to the normal body mass index (21-23) is selected to examine body fat percentage, muscle mass, abdominal obesity, and physique. The average muscle mass, abdominal obesity, and physique (shoulder width) of the entire sample are then calculated and classified into five classes according to the distribution of body fat percentage. Then, the range of muscle mass, abdominal obesity, and physique (shoulder width) of each grade is obtained, and the correction coefficients of each grade are obtained from the difference between the percent body fat of the control table and the percent body fat of each grade.

Table 7 below is an example of a muscle correction table for correction according to the muscle mass obtained through the above procedure.

Muscle Ownership Information Muscle correction factor A lot of muscle  0.8 Some muscle  0.9 Medium (normal type)  One Insufficient muscles (lack of exercise)  1.1 Very lacking muscle (severe lack of exercise)  1.2

When the muscle correction table is defined as shown in Table 7, check the grade according to the muscle mass of the measurer and apply the corresponding correction factor. In other words, the body fat percentage of the control table is multiplied by the correction factor of the grade corresponding to the muscle correction table to determine the muscle body fat percentage.

The abdominal obesity rating is then checked and the corresponding correction factor is applied. To correct abdominal obesity, the abdominal obesity correction table is first defined by gender. Table 8 below is an example of an abdominal obesity correction table for men, and defines correction factors according to abdominal obesity.

Abdominal obesity  Correction factor 0.85 or less  0.8 0.85-0.9  0.9 0.9-0.95  One 0.95-1.0  1.1 1.0 or higher  1.2

The abdominal obesity-corrected body fat percentage is obtained by multiplying the first-corrected body fat percentage according to the measurer's abdominal obesity degree.

Then check the grade of the physique (skeleton) and apply the appropriate correction factor. The physique correction is obtained by multiplying the abdominal obesity body fat percentage by the correction factor of the corresponding grade in the physique correction table. The correction according to the physique (skeleton) may vary depending on the scale of the physique (for example, shoulder width, head size, bone thickness, etc.) that can be classified, but the physique correction table is shown in the following table. Same as 9.

Shoulder width (Cm)  Physique Correction Factor 45 or less 1.2 45-48 1.1 48-51 One 51-54 0.9 54 or more 0.8

As such, the correct body fat percentage is finally output and displayed as shown in FIG. 9 in consideration of the degree of muscle, abdominal obesity, and shoulder width of the measurer. 9 shows an example of an actual measurement screen according to the present invention, in which a measured weight, a calculated body mass index, and a corrected body fat percentage are displayed.

On the other hand, due to the nature of the conversion through the above-described statistics, it will be difficult to correct 100% of the exceptional value of individuals with unusual constitutions. Therefore, it is possible to input the difference value between the measured value obtained from the high precision measuring device and the scale measurement value for each individual, so that the individual can be corrected for more accurate measurement. If the individual using the scale is convinced of his or her body fat percentage, the value may be entered, and the value calculated on the scale is then corrected based on the input value.

10 is an example of a screen for calculating the body fat percentage using the web according to the present invention.

In the body fat calculation method using the body fat check table according to the present invention, if you know some body information such as accurate weight and height, the body fat percentage can be calculated without additional measurement. Therefore, anybody connected to the network can find out their body fat by implementing the body fat conversion algorithm implemented on the scale.

Referring to FIG. 10, when the user accesses a web service site, the user logs in, enters information of a measurer, and enters body information such as weight and height to calculate body fat percentage and displays the graph together.

As described above, according to the present invention, after obtaining a body mass index using body weight and height, which are physical quantities that can be directly measured in the measurement of the human body, the body fat percentage is calculated and then corrected according to personal characteristics. Accurately determine your body fat percentage. In particular, since the digital scale used in the present invention measures the weight with a 50g scale, it can be measured up to a very accurate value, and in consideration of the weight, the body fat percentage is calculated only by the pure weight of the measurer.

In addition, while the actual body fat percentage does not change significantly during the day, the existing body fat rate measuring device differs significantly depending on the weight at the time of measurement, but the present invention accurately calculates the body fat rate by considering the change in body weight using daily minimum weight and time series analysis. can do.

In addition, even if the same body weight, body fat percentage varies greatly depending on the constitution and physique of the individual, in the present invention, the body fat rate can be accurately calculated by accurately correcting the body fat rate in consideration of the physical characteristics of the measurer such as muscle mass, abdominal obesity, and physique (skeleton). Can be. In addition, the present invention continuously measures the body fat percentage of the individual, and analyzes the accumulated data to increase the accuracy more, and to use the data processing capability of the computer for this purpose.

Claims (8)

delete Generating and storing the body fat control table according to gender and age; Inputting information of the measurer such as the gender, age, height, and weight of the measurer; Measuring weight using a PC (PC) connected digital scale; Calculating a body mass index of the measurer from the measured weight value and the input height value; Reading the body fat control table of the gender and age corresponding to the condition of the measurer in the stored body fat control table and calculating the body fat percentage by the calculated body mass index; Correcting the calculated body fat percentage according to a physical condition of a measurer; And Outputting the corrected body fat percentage; The weight measuring step The actual weight value is calculated by subtracting the input weight from the measured weight value in the input step, and using the minimum weight value of previously recorded data, correcting the error of the measured weight value according to the change in the measurement time. Body fat percentage calculation method using a PC-connected scale. The method of claim 2, wherein the calculating of the body fat percentage When there is no value of the body mass index in the body fat control table, the body fat percentage calculation method using a PC-connected scale, characterized in that for calculating the body fat percentage using the slope of the adjacent value. delete delete delete delete An input unit for inputting measurement information and setting values; A memory for storing the inputted measurer information and the body fat comparison table by gender / age; Weight measuring means for measuring the current weight of the measurer; A body mass index calculator for calculating a body mass index from information input through the input unit and weight information stored in the memory after weight measurement; A body fat percentage calculation unit for calculating a body fat percentage from the body mass index by referring to a body mass comparison table corresponding to the measurer; A correction unit for correcting the calculated body fat percentage according to muscle mass, abdominal obesity, skeleton, and the like; And And a display unit for displaying the corrected body fat percentage.

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