JP7029232B2 - Body fat mass estimation method, body fat mass estimation device, and body fat mass estimation system - Google Patents

Description

The present invention relates to a body fat mass estimation method, a body fat mass estimation device, and a body fat mass estimation system.

Currently, the amount of visceral fat accumulated around the intestine or in the abdominal cavity is used as an index of the possibility of developing an adult disease or the like. Therefore, it is desirable for health management to measure the amount of fat accumulated in the internal organs and the like on a daily basis. In order to measure the amount of visceral fat on a daily basis, a device that allows an individual to measure the amount of fat including his / her own visceral fat at home or the like without going to a medical institution has been put into practical use. Such a device is described in, for example, Patent Document 1. In the abdominal cross-sectional area image display method described in Patent Document 1, the contour of the abdomen is detected by a sensor built in a smartphone or the like, and the visceral fat area in the cross section of the abdomen is based on the shape feature calculated from a part of the contour. Etc. are estimated.

Japanese Unexamined Patent Publication No. 2015-126833

However, the detection of the contour is performed by sequentially recording the angle and the amount of movement of the sensor, correcting the recorded points as appropriate, and connecting them together. When a plate-shaped member such as a smartphone is applied to its waist circumference, the angle of the smartphone held in one hand may change during detection. At this time, it is conceivable that the contour detection accuracy changes depending on the angle at which the smartphone or the like is applied to the waist circumference and the movement when the angle is changed. The change in detection accuracy appears as a variation in the detected contour. In the daily measurement of fat mass, it is not preferable that the detected value varies because it misleads the judgment of the continuous change of fat.
The present invention relates to a body fat mass estimation method, a body fat mass estimation device, and a body fat mass estimation system, which are suitable for daily measurement by the subject and capable of obtaining sufficient estimation accuracy. ..

One aspect of the body fat mass estimation method of the present invention is a first length measuring step of measuring the first length, which is the length in the width direction of the front surface of the body, and the length in the thickness direction of the side surface of the body. Includes a second length measuring step of measuring the second length, and a body fat mass estimation step of estimating the body fat content contained in the body from the first length and the second length. ..

The present invention provides a body fat mass estimation method, a body fat mass estimation device, and a body fat mass estimation system, which are suitable for daily measurement by the subject and capable of obtaining sufficient estimation accuracy. Can be provided.

It is a figure for demonstrating the body fat mass estimation system including the body fat mass estimation apparatus of one Embodiment of this invention. It is a functional block diagram of the control device shown in FIG. It is a flowchart for demonstrating the body fat mass estimation method of one Embodiment of this invention. It is a figure for demonstrating the width direction and the thickness direction of one Embodiment of this invention. FIG. 4 is a diagram showing an ellipse in which 1/2 of the first length shown in FIG. 4 is the semi-major axis and 1/2 of the second length is the semi-minor axis. It is a figure for demonstrating the basis which one Embodiment of this invention calculates the cross-sectional area of a body as an ellipse. It is a figure for demonstrating the effect of one Embodiment of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all drawings, similar components are designated by the same reference numerals, and duplicate description will be omitted as appropriate.
(Body fat mass estimation device, body fat mass estimation system)
FIG. 1 is a diagram for explaining a body fat mass estimation system 100 including a control device 105 which is a body fat mass estimation device according to an embodiment of the present invention. FIG. 2 is a functional block diagram of the control device 105 shown in FIG.
The body fat mass estimation system 100 of the present embodiment is a body fat mass estimation system that estimates the amount of visceral fat and subcutaneous fat (hereinafter, both are collectively referred to as “body fat”), and is a body fat mass estimation system. It is a suitable system for the estimator to measure body fat mass on a daily basis. The body fat mass estimation system simulates a cross section of the torso of the person to be estimated, and estimates the body fat mass from the area of body fat occupied in this cross section. The cross section of the present embodiment is a plane orthogonal to the height direction in a slightly lower part of the navel of the person to be estimated.

As shown in FIG. 1, the body fat mass estimation system 100 includes an image pickup device 103, a control device 105, and an output device 107 that image a range including the torso of the target person to be estimated. As shown in FIG. 2, the control device 105 measures the first length, which is the length in the width direction of the front surface of the body, from the image information about the image captured by the image pickup device 103, and the thickness direction of the side surface of the body. Includes an image processing unit 35 that measures the second length, which is the length of the body, and a body fat amount estimation unit 37 that estimates the amount of body fat contained in the body from the first length and the second length. There is. The image processing unit 35 functions as a first length measuring unit and a second length measuring unit of the present embodiment. Such a control device 105 functions as a body fat mass estimation device of the present embodiment. Further, the result of estimation by the control device 105 is output to the output device 107.

Further, the body fat mass estimation system 100 of the present embodiment includes a mirror 101 which is a mirror member installed at a position where the body of the estimated person is photographed. The output device 107 outputs the estimation result to the mirror 101. Such a mirror 101 functions as an output screen in the body fat mass estimation system 100.
As shown in FIG. 1, in addition to the image M of the estimated person, the mirror 101 includes weather information 101c such as date and time 101a, time 101b, temperature, physique information 101d such as height, pulse 101e, and measurement information 101f regarding abdominal circumference. A body temperature of 101 g or the like is displayed.
In order to realize the above configuration, the mirror 101 of the present embodiment is a so-called half mirror that transmits a part of the incident light and reflects the other part. The output device 107 has a screen (not shown) such as a liquid crystal screen and a driver (not shown) that controls an image on the back surface of the mirror 101 with respect to the front surface facing the estimated person. When the date and time 101a is displayed on the screen by the driver, the displayed image is transmitted through the mirror 101 and displayed on the surface of the mirror 101.

In this embodiment, the image displayed on the mirror 101 is not limited to the body temperature 101 g from the date and time 101a. For example, by displaying the measurement procedure used for estimating the body fat mass on the mirror 101, the usability of the estimated person of the body fat mass estimation system is improved.
Further, the present embodiment is not limited to the mirror 101 having an information display function. The mirror 101 may be any shape as long as it can confirm the posture of the person to be estimated and the state reflected in the image pickup apparatus 103.

The image pickup apparatus 103 is a camera having a function of capturing a range including the body of the person to be estimated. In the present embodiment, it is preferable that the image of the estimated person captured by the image pickup apparatus 103 and the image M reflected on the mirror 101 match. Therefore, the image pickup apparatus 103 is installed so as to face the lens (not shown) from the same side as the mirror 101 with respect to the estimated person. Further, the image pickup apparatus 103 is required to have a resolution at which the image processing unit 35 can determine a specific position of the estimated person's hand from the image captured by the image pickup apparatus 103. The performance such as the resolution required for the image pickup apparatus 103 is determined by the relationship with the performance of the image processing unit 35.

The control device 105 may be any device as long as it can execute the calculation for estimating the body fat mass. As the device used as the control device 105, for example, there is a general-purpose personal computer in addition to a device specifically configured for estimating body fat mass. The control device 105 can also be realized by executing software of a body fat mass estimation method described later on a general-purpose personal computer.

[Body fat mass estimation method]
The body fat mass estimation method of the present embodiment is based on a first length measuring step of measuring the first length, which is the length in the width direction of the front surface of the target body, and a length in the thickness direction of the side surface of the body. It includes a second length measuring step of measuring a certain second length, and a body fat mass estimation step of estimating the body fat mass contained in the body from the first length and the second length. Further, the body fat mass estimation method of the present embodiment further includes an imaging step of imaging a range including the body, and the first length measuring step and the second length measuring step relate to the image acquired by the imaging step. Measure the first or second length from the information. Such a body fat mass estimation method of the present embodiment is executed in the body fat mass estimation system 100 shown in FIG.
FIG. 3 is a flowchart for explaining the body fat mass estimation method of the present embodiment. Hereinafter, the body fat mass estimation method of the present embodiment will be described together with the flowchart shown in FIG.

In the body fat mass estimation method of the present embodiment, first, the switch of the control device 105 is turned on (step S401), and the process is started. In this embodiment, the control device 105 also controls the mirror 101, the image pickup device 103, and the output device 107. For example, when the control device 105 is turned on, the image pickup device 103 starts imaging of the estimated person E standing in front of the mirror 101.
The image processing unit 35 measures the first length, which is the length in the width direction of the front surface of the body of the estimated person, and measures the second length, which is the length in the thickness direction of the side surface of the body. Here, the surface of the torso of the presumed person viewed from the direction facing the navel is defined as the front surface of the torso. Then, with respect to the front surface, the surface of the torso viewed from two directions orthogonal to the navel on the plane is defined as the side surface, and the back surface with respect to the front surface is defined as the back surface.
Here, the "width direction" and the "thickness direction" will be described with reference to FIGS. 4 (a) and 4 (b). FIG. 4A is a diagram showing the first length A of the body Eb in the width direction. FIG. 4B is a diagram showing the second length B of the body Eb in the thickness direction. 4 (a) and 4 (b) show a state in which the estimated person E stands in front of the mirror 101 shown in FIG. 1, and the estimated person E in FIG. 4 (a) is the body Eb. It stands with its front facing the Y direction of the axis shown in the figure. The estimated person E in FIG. 4A stands with the front surface of the body Eb facing the X direction of the coordinate axes shown in the figure.

The width direction of the torso is from one side surface (body side) of the torso to the other side surface (body side) of the two axes (X direction and Y direction) orthogonal to the height direction (Z direction of the coordinate axes shown in the figure). Refers to the direction (X direction of the coordinate axes shown in the figure). The first length A in the width direction of the body shown in FIG. 4A is the length of the body in the X direction in the body view. The X direction in the present embodiment may be the −X direction.
The width direction of the body refers to the direction from the front to the back of the body among the two axes (X direction and Y direction) orthogonal to the height direction (Z direction of the coordinate axes shown in the figure). This direction is the Y direction in FIG. 4A. In FIG. 4B, since the estimated person is rotated 90 degrees in the YX direction from the state shown in FIG. 4A, the thickness direction in FIG. 4B is in the X direction of the coordinate axis. Match. The second length B in the thickness direction of the body shown in FIG. 4 (b) is the length in the X direction shown in the figure of the body Eb. The X direction in the present embodiment may be the −X direction.
Further, in the present embodiment, in both FIGS. 4 (a) and 4 (b), the estimated person E puts his / her hand HL and hand HR on his / her torso Eb. By doing so, in the present embodiment, it is possible to prevent the boundary between the width and the thickness of the body Eb of the presumed person E from becoming unclear due to clothing, and as will be described later, the first length A and the first length A and the first Both ends of the two length B are clarified.

(Imaging process)
The body fat mass estimation method of the present embodiment includes an imaging step of imaging a range including the body. Then, the image processing unit 35 shown in FIG. 1 measures the first length or the second length from the information related to the image acquired by the imaging step in the first length measuring step and the second length measuring step. do. That is, in the present embodiment, the image pickup apparatus 103 images the range including the body Eb of the estimated person E shown in FIGS. 4 (a) and 4 (b), respectively (step S402). The image information P of the image generated by the imaging is input to the image processing unit 35 of the control device 105 as shown in FIG. In this embodiment, the image generated by imaging is used as a moving image.
At the time of measurement, in the present embodiment, a mark indicating the standing position of the estimated person E is attached in front of the mirror 101 so that the estimated person E always keeps a constant distance from the image pickup apparatus 103. There may be. The mark may be any shape, such as a straight line, a circle, an illustration imitating a shoe sole, or the like, as long as the estimated person E knows where to stand for imaging. Further, in the present embodiment, for example, an infrared sensor or the like may be used as a distance measuring sensor, and the position of the estimated person E may be instructed to the estimated person E, or the instruction may be displayed on the mirror 101. It may be done by. Further, in the present embodiment, the control device 105 may perform a process of correcting the size of the image obtained by imaging to the actual size.

(First length measurement process and second length measurement process)
As shown in FIG. 3, the image processing unit 35 measures the first length A and the second length B from the image information P (step S403).
Hereinafter, an example of specific measurement of this embodiment will be described.
In the present embodiment, in the first length measuring step and the second length measuring step, the first length A and the second length B are measured by measuring the distance between two points of the plurality of contact members. .. In the present embodiment, the contact member is a pair of hands of the estimated person E whose body fat mass is estimated in the body fat mass estimation step, and the distance between specific parts of the pair of hands is measured.
More specifically, in this embodiment, as shown in FIG. 4, the estimated person E puts his / her hand on his / her torso Eb. In the present embodiment, the image processing unit 35 recognizes the specific positions of the hand HR and the hand HL from the captured image, and the distance between the specific position of the hand HR and the specific position of the hand HL is the first length A and the first. (2) The start and end of the length of length B are used.

In order to realize such processing, for example, in the present embodiment, the radial styloid through which a straight line extending a specific position of the hand HR and a specific position of the hand HL in the direction of the wrist extending one point between the thumb and the index finger passes. The position of the protrusion. In this case, in the present embodiment, prior to the imaging step, the estimated person E standing in front of the mirror 101 spreads both hands laterally so that the imaging device 103 can image the wrist. The control device 105 detects the position of the radial styloid process on the wrist in substantially real time from the moving image obtained by imaging. Subsequently, the estimated person E places the hand HL and the hand HR on both sides of the waist so as to be aligned with both ends of the line passing slightly below the navel. The control device 105 follows the movement of the position of the radial styloid process recognized earlier, recognizes the position of the radial styloid process of the hand HL and the hand HR, respectively, and sets this interval as the first length A or The second length is B.

In the above process, if the control device 105 fails to acquire the lengths of the first length A and the second length B, such as when the position of the radial styloid protrusion cannot be recognized, the control device 105 again performs an image. May be obtained to obtain the first length A and the second length B. Further, in the present embodiment, the mirror 101 indicates that the acquisition of the lengths of the first length A and the second length B has failed, and the acquisition of the lengths of the first length A and the second length B is performed. You may notify the presumed person E to do it again.
Further, in the above processing, the change is more important than the measured values of the first length A and the second length B, and even if the position of the radial styloid process is erroneously determined (other parts of the hand). Is determined to be a radial styloid process), but it is considered that it does not matter if this erroneous determination occurs in the same way every time. Further, in the present embodiment, it is determined whether the clothes of the person to be measured are thin clothes such as a T-shirt or thick clothes such as a jacket, and the acquired length is appropriately corrected according to the thickness of the clothes. It may be a thing.

Further, the first length measuring step and the second length measuring step of the present embodiment are not limited to those described above. For example, the contact member of the present embodiment is not limited to the hand of the estimated person E, but may be a jig or the like that sandwiches the body Eb, or the estimated person E puts one of the body Eb on the wall surface. The other member may be pressed against another member (including a hand) by leaning against it. Further, the present embodiment is not limited to the one in which two contact members are used as a pair. For example, one belt-shaped member may be wound around the body Eb, and the distance between two points of the belt member in contact with the body Eb may be measured.
Further, the present embodiment is not limited to measuring both the first length A and the second length B by using the contact member. For example, as for the length of the body Eb in the width direction, a contact member may be used because there are arms on both sides of the body Eb and it is difficult to determine the boundary of the end portion of the body Eb. Since the arm overlaps the body Eb on the side surface of the Eb, it is not necessary to use the contact member because the boundary of the body Eb can be easily identified.

(Body fat mass estimation process)
Further, in the body fat mass estimation method of the present embodiment, the body fat mass contained in the body Eb is estimated from the first length A and the second length B (step S404).
The estimation of the body fat mass in step S404 shows the relationship between the body fat mass and at least one of the parameters based on the first length A, the second length B and the first length A or the second length B. Estimate body fat mass from related information. Here, the parameter based on the second length B and the first length A or the second length B is not the first length A or the second length B itself, but the first length A or the second length. It points to a parameter calculated using B. In this embodiment, the amount of body fat is represented by the cross-sectional area of body fat in the cross-sectional area of the abdomen. Further, as a parameter, for example, the circumference of the abdominal circumference and the like can be considered.

Further, as the relationship information, an arithmetic expression or a table showing the relationship between the first length A and the second length B, the above parameters, and the amount of body fat can be considered. The arithmetic expression may be any function as long as the body fat mass can be obtained by using the first length A and the second length B or parameters as variables. In the present embodiment, for example, the calculation formula is an ellipse having a cross-sectional area parallel to the width direction of the body Eb, the length of the major axis is the first length A, and the length of the minor axis is the second length B. The calculation formula for calculating the body fat mass is determined.
FIG. 5 is a diagram showing an ellipse having 1/2 of the first length A as the major axis and 1/2 of the second length B as the minor axis. The area S of the ellipse shown in FIG. 5 is calculated by the following equation (1). In the body fat mass estimation step, the body fat mass estimation unit 37 calculates the body fat mass by substituting the first length A and the second length B or a parameter into the calculation formula.

6 (a) to 6 (e) are views for explaining the basis for calculating the cross-sectional area of the body Eb as an ellipse, and all of them show the cross-section of the abdomen of the human body taken by CT scan. In any of FIGS. 6 (a) to 6 (e), subcutaneous fat E, visceral and muscle C, visceral fat D and spine F are observed from the cross section of the abdomen. According to FIG. 6, the amount of visceral fat and subcutaneous fat (body fat) increases from FIG. 6A to FIG. 6E, and the cross-sectional area increases as the amount of body fat increases. You can see that. It can be seen that as the body fat increases, the shape of the cross section becomes longer on the minor axis of the ellipse and approaches the circle from the ellipse. In the present embodiment, as an example showing the amount of body fat, the area obtained by subtracting the area occupied by the internal organs, bones, muscles, etc. from the cross-sectional area of the abdomen can be taken as the area of body fat. At this time, it is assumed that the cross-sectional area of the internal organs and bones of the human body is substantially constant regardless of the physique, and the muscle mass is an average value.
In addition, as described above, this embodiment is not limited to showing the amount of body fat by the area occupied in the cross section of the abdomen, and is shown by, for example, the weight of body fat, a plurality of levels, and the like. May be good.

Next, an example using the relational information of the present embodiment as a table will be described. The table can be any table that associates at least one of the first length A, the second length B, and the parameters based on the first or second length with the body fat mass. You may. In this embodiment, the amount of body fat is represented by the cross-sectional area of body fat in the cross-sectional area of the abdomen. Further, as a parameter, for example, the circumference of the abdominal circumference and the like can be considered. In the body fat mass estimation step, the body fat mass estimation unit 37 acquires the body fat mass by comparing the first length A and the second length B or the parameters on the table.

Table 1 illustrates the table of this embodiment. Table 1 correlates the first length A and the second length B with the cross-sectional area Sd of body fat occupied in the cross-sectional area of the abdomen. In the table shown in Table 1, the numerical range assumed in advance as the first length A and the second length B is divided into the first length A and the second length B in multiple stages according to the measurement accuracy. The cross-sectional area Sd of the body fat is associated with the pair of the first length A and the second length B of each stage. In such a table of Table 1, the first length A and the second length B are measured in advance for a plurality of estimated persons, and the cross-sectional area showing the body fat mass of the estimated person is measured by a method such as CT scan. Created by measuring. The body fat mass estimation unit 37 receives the first length A and the second length B measured by the image processing unit 35, and identifies the cross-sectional area Sd corresponding to the first length A and the second length B. .. Then, the specified cross-sectional area Sd is output to the output device 107 (step S405). The output device 107 generates an image including text and drawings including information indicating the cross-sectional area Sd, and displays the image on the mirror 101.

(Perimeter estimation process)
By the way, at present, the circumference of the abdominal circumference is used together with hyperlipidemia, hyperglycemia, and hypertension as an index of metabolic syndrome. Therefore, in the present embodiment, the body fat mass estimation step further includes a circumference estimation step of estimating the circumference length L of the body from the first length A and the second length B.
The circumference of the ellipse is expressed by the following equation (2).

Under the condition of B> A, the approximate expression of the above equation (2) is expressed as the following equation (3).

In this embodiment, the first length A and the second length B are measured for a plurality of estimated persons, and the perimeter L is calculated using the first length A and the second length B. Then, a CT scan or the like is performed on the same subject, and the cross-sectional area Sd of body fat occupying the cross-sectional area of the abdomen is observed. Further, a table may be created by associating the circumference L with the cross-sectional area Sd. An example of such a table is shown in Table 2. In Table 2, the first length A and the second length B are not recorded, and the circumference L and the cross-sectional area Sd are directly associated with each other. The table shown in Table 2 is an example of a table for associating a parameter based on the first length A or the second length with the amount of body fat.

In this embodiment, the body fat mass estimation unit 37 receives the first length A and the second length B measured by the image processing unit 35, and approximates the first length A and the second length B as described above. Substitute in the formula to calculate the circumference (perimeter) of the ellipse. Then, the calculated perimeter L is output to the output device 107 as the perimeter of the abdominal circumference of the estimated person. The output device 107 generates an image including text and drawings including information indicating the circumference L, and displays the image on the mirror 101.
The present embodiment is not limited to the configuration in which the body fat mass estimation unit 37 outputs the cross-sectional area Sd and the peripheral length L to the output device 107 and displays them on the mirror 101. The cross-sectional area Sd and the peripheral length L may be, for example, output to a printer (not shown) and printed. Further, the cross-sectional area Sd and the circumference L may be output to a speaker (not shown) and notified to the estimated person by voice.

FIG. 7 is a diagram for explaining the effect of the present embodiment described above. The vertical axis of FIG. 7 shows the area of visceral fat of a plurality of estimated persons obtained by the CT scan shown in FIG. 6, and the horizontal axis shows the cross-sectional area Sd of the body of the same estimated person obtained in the present embodiment. (In FIG. 7, it is referred to as "abdominal circumference cross-sectional area"). As is clear from FIG. 7, the cross-sectional area Sd of the body obtained by this embodiment has a high correlation of 0.80 with the area of visceral fat obtained by CT scan. Further, the straight line y obtained from the plot shown in FIG. 7 using the least squares method is
y = 0.286x-47.069 ... (4)
Can be expressed as.
According to this embodiment, for example, the calculation formula for obtaining the above "y" is stored in the body fat mass estimation unit 37, and the elliptical cut is cut from the measured first length A and second length B. The area can be obtained, and this cross-sectional area can be substituted into the equation (4) to obtain the area of the visceral fat of the estimated person.
However, this embodiment is not limited to estimating the amount of visceral fat among body fat. For example, the amount of subcutaneous fat or the total amount of body fat is obtained from the CT scan image shown in FIG. 6, and an equation expressing the relationship between the amount of subcutaneous fat and the amount of body fat and the area of the ellipse obtained in the present embodiment is expressed. It can also be stored in the body fat mass estimation unit 37. In this way, the present embodiment can estimate the subcutaneous fat mass and the body fat mass.

In the body fat mass estimation method, body fat mass estimation device, and body fat mass estimation system of the present embodiment described above, the first length A and the second length B can be obtained only by the person to be estimated standing in front of the mirror 101. Can be measured. In addition, it is not necessary for the presumed person to take off his / her clothes when measuring the first length A and the second length B. Therefore, in the body fat mass estimation method, the body fat mass estimation device, and the body fat mass estimation system of the present embodiment, the estimated person can easily obtain the estimated value of the body fat mass by himself / herself. Such an embodiment is effective for health management because the estimated person can continuously obtain an estimated value of his / her own body fat mass and observe the progress thereof. Further, in the present embodiment, the body fat mass can be estimated by the measurement of the lengths of the first length A and the second length B with less variation, so that the estimated value of the obtained body fat mass varies. Less is. Therefore, the present invention can obtain a reliable estimate of body fat mass.
As described above, the present embodiment is a body fat mass estimation method and a body fat mass estimation device that are suitable for daily measurement by the subject and can obtain sufficient estimation accuracy. And a body fat mass estimation system can be provided.

The above embodiments and examples include the following technical ideas.
<1> The first length measuring step for measuring the first length, which is the length in the width direction of the front surface of the target body, and the second length, which is the length in the thickness direction of the side surface of the body, are measured. A body fat mass estimation method comprising a second length measuring step and a body fat mass estimation step of estimating the body fat mass contained in the body from the first length and the second length.
<2> The body of <1>, wherein at least one of the first length measuring step and the second length measuring step measures the distance between two points of one or a plurality of abutting members that abut on the body. Fat mass estimation method.
<3> The contact member is a pair of hands of the target whose body fat mass is estimated in the body fat mass estimation step, and the first length measuring step and the second length measuring step are the pair. <2> Body fat mass estimation method for measuring the distance between specific parts of a hand.
<4> The image pickup step of imaging the range including the body is further included, and the first length measurement step and the second length measurement step are the first length from the information related to the image acquired by the image pickup step. A method for estimating body fat mass according to any one of <1> to <3>, which measures the second length.
<5> In the body fat mass estimation step, the relationship between the first length, the second length, and at least one of the parameters based on the first length or the second length and the body fat mass. A method for estimating the amount of body fat according to any one of <1> to <4>, which estimates the amount of body fat from the related information indicating.
<6> The relational information is a predetermined arithmetic expression, and the body fat mass estimation step is performed on the first length, the second length, and the first length or the second length. The method for estimating body fat mass in <5>, wherein at least one of the parameters based on the above is substituted into the above-mentioned calculation formula.
<7> The calculation formula is an ellipse having a cross-sectional area parallel to the width direction of the body, the length of the major axis being the first length, and the length of the minor axis being the second length. The method for estimating the amount of body fat according to <6>, which is an expression for calculating the amount of body fat.
<8> The related information is a table that associates the first length, the second length, and at least one of the parameters based on the first length or the second length with the amount of body fat. The body fat mass estimation step controls the first length, the second length, and at least one of the parameters based on the first length or the second length against the table, <5>. How to estimate body fat mass.
<9> Any of <1> to <8>, wherein the body fat mass estimation step further includes a circumference estimation step of estimating the circumference length of the body from the first length and the second length. One method for estimating body fat mass.
<10>
A first length measuring unit that measures the first length, which is the length in the width direction of the front surface of the target body, and a second length that measures the second length, which is the length in the thickness direction of the side surface of the body. The amount of body fat contained in the body is estimated from the length measuring unit, the first length measured by the first length measuring unit, and the second length measured by the second length measuring unit. A body fat mass estimation device, including a body fat mass estimation unit.
<11> The first length that measures the first length, which is the length in the width direction of the front surface of the body, from the image information about the image pickup unit that captures the range including the target body and the image captured by the image pickup unit. The length measuring unit, the second length measuring unit for measuring the second length which is the length of the side surface of the body in the thickness direction, and the first length and the second length are included in the body. A body fat mass estimation system including a body fat mass estimation unit for estimating a body fat mass, an output section for outputting a body fat mass estimation section including the body fat mass estimation section, and an output section for outputting an estimation result by the body fat mass estimation section.
<12> The body fat mass estimation system according to <11>, comprising a mirror member installed at a position where the body is imaged, and the output unit outputs the estimation result to the mirror unit.

35 ... Image processing unit 37 ... Body fat mass estimation unit 100 ... Body fat mass estimation system 101 ... Mirror 101a ... Date and time 101b ... Time 101c ... Meteorological information 101d ... Physique information 101e ... Pulse 101f ... Measurement information 101g ... Body temperature 103 ... Imaging device 105 ... Control device 107 ... Output device

Claims (7)

It is a method of estimating body fat mass using a control device.
An imaging process in which the area including the vicinity of the navel of the torso of the estimated person is imaged using an imaging device, and
The first length measurement in which the control device measures the first length, which is the length in the width direction of the front surface of the body of the estimated person near the umbilical cord, from the information related to the image acquired by the imaging step by image processing. Process and
The second length measured by the control device by image processing, which is the length in the thickness direction of the side surface of the body of the estimated person near the umbilicus from the information related to the image acquired by the imaging step. Measurement process and
The control device determines the amount of body fat contained in the body of the estimated person from the relationship information indicating the relationship between the first length and the second length and the amount of body fat contained in the abdomen of the estimated person. Including the estimation step of body fat mass
The body fat mass estimation step does not estimate the body fat mass contained in the body of the person to be estimated by using the bioimpedance method, but uses the relevant information as the relevant information.
(1) The body fat mass measured from the abdomen of the plurality of estimators is shown by using the first length and the second length or parameters based on them measured from a plurality of estimators as variables. function
(2) The relationship between the first length and the second length measured from a plurality of estimators or parameters based on them and the amount of body fat measured from the abdomen of the plurality of estimators is shown. A method for estimating body fat mass, which comprises estimating using at least one of the tables . In the first length measuring step and the second length measuring step, a part of the surface of a pair of hands is brought into contact with the vicinity of the navel, respectively, and the distance between the parts abutting near the navel. The body fat mass estimation method according to claim 1, further comprising measuring. The function according to claim 1 or 2 , wherein the length of the major axis indicates the relationship between the area of the ellipse having the first length and the length of the minor axis has the second length, and the amount of body fat. Body fat mass estimation method. The body fat mass estimation step is
The body according to any one of claims 1 to 3 , further comprising a perimeter estimation step of estimating the perimeter of the torso of the estimated person in the vicinity of the umbilical cord from the first length and the second length. Fat mass estimation method. An imaging unit that captures the area including the vicinity of the navel of the torso of the estimated person,
A first length measuring unit that measures the first length, which is the length in the width direction of the front surface of the torso of the estimated person near the navel, from the information related to the image captured by the imaging unit.
A second length measuring unit that measures the second length, which is the length in the thickness direction of the side surface of the torso of the estimated person near the navel, from the information related to the image captured by the imaging unit .
Relationship between the first length measured by the first length measuring unit and the second length measured by the second length measuring unit and the amount of body fat contained in the abdomen of the person to be estimated. Includes a body fat mass estimation unit that estimates the body fat mass contained in the body of the person to be estimated from the information .
The body fat mass estimation unit does not estimate the body fat mass contained in the body of the estimated person by using the bioimpedance method, but uses the related information as the relevant information.
(1) The body fat mass measured from the abdomen of the plurality of estimators is shown by using the first length and the second length or parameters based on them measured from a plurality of estimators as variables. function
(2) The relationship between the first length and the second length measured from a plurality of estimators or parameters based on them and the amount of body fat measured from the abdomen of the plurality of estimators is shown. A body fat mass estimation device characterized in that estimation is performed using at least one of the tables . An imaging unit that captures the area including the vicinity of the navel of the torso of the estimated person,
A first length measuring unit that measures the first length, which is the length in the width direction of the front surface of the torso of the estimated person near the navel, from the information related to the image captured by the imaging unit.
A second length measuring unit that measures the second length, which is the length in the thickness direction of the side surface of the torso of the estimated person near the navel, from the information related to the image captured by the imaging unit .
The amount of body fat that estimates the amount of body fat contained in the body of the estimated person from the relationship information indicating the relationship between the first length and the second length and the amount of body fat contained in the abdomen of the estimated person. Estimator and
Includes an output unit that outputs the result of estimation by the body fat mass estimation unit.
The body fat mass estimation unit does not estimate the body fat mass contained in the body of the estimated person by using the bioimpedance method, but uses the related information as the relevant information.
(1) The body fat mass measured from the abdomen of the plurality of estimators is shown by using the first length and the second length or parameters based on them measured from a plurality of estimators as variables. function
(2) The relationship between the first length and the second length measured from a plurality of estimators or parameters based on them and the amount of body fat measured from the abdomen of the plurality of estimators is shown. A body fat mass estimation system characterized by estimating using at least one of the tables . The body fat mass estimation system according to claim 6 , further comprising a mirror member installed at a position that captures the vicinity of the navel of the body of the estimated person, and the output unit outputs the estimation result to the mirror member . ..

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