Body shape data acquisition system, body shape data acquisition program, and computer-readable non-transitory storage medium

Abstract

The present disclosure provides a body shape data acquisition system capable of simply acquiring body shape data. The body shape data acquisition system (50) includes: an input unit (51) and a measurement unit (52) that acquire biological information of a user; a storage unit (54) that stores a plurality of reference body shape data for which the biological information corresponds; a selection unit (53) that selects reference body shape data corresponding to the biological information of the user acquired by the input unit (51) and the measurement unit (52) from among the reference body shape data stored in the storage unit (54); and an acquisition unit (55) that acquires body shape data of the user using the reference body shape data selected by the selection unit (53).

Description

[0001] Cross Reference to Related Applications

[0002] This application claims priority to Japanese Patent Application No. 2019-022352 filed on February 12, 2019, the contents of which are incorporated herein by reference. TECHNICAL FIELD

[0003] The present disclosure relates to a body shape data acquisition system, a body shape data acquisition program, and a computer-readable non-transitory storage medium recording the program, which acquire body shape data of a user. BACKGROUND

[0004] A three-dimensional human model that represents a personal body shape is effectively utilized in various fields such as health care, games, clothing, and the like. Body shape data for generating a personal human model can be acquired by optically three-dimensionally scanning a human body. Further, in Japanese Patent No. 5990820 B, a device is disclosed that calculates lean body weight, fat mass, and the like of each part of an arm, a leg, and the like from biological information (body weight, bioelectrical impedance (BIA), and the like) obtained by measurement, determines the size of each part and the size of fat of each part based on these, and acquires body shape data. SUMMARY

[0005] However, in the method of acquiring body shape data by optically three-dimensionally scanning a human body, in order to perform three-dimensional scanning, it is necessary to attach a marker to the human body (or a suit with a marker can be worn), or a special camera such as a stereo camera is necessary. Further, in the method of Japanese Patent No. 5990820 B, a measuring device capable of performing a complex operation for calculating the size of each part and the size of fat of each part is necessary. Further, in the method of Japanese Patent No. 5990820 B, in the case where more accurate body shape data is desired to be acquired, more detailed operation of each part is necessary, and time is necessary.

[0006] Further, in the method of Japanese Patent No. 5990820 B, for each part of an arm, a leg, and the like, body shape data is acquired by deforming a reference model such as a cylinder or an elliptical hammer based on the body composition of length, fat mass, lean body weight, and the like, but the reference model sometimes deviates from the actual body shape, and in this case, the amount of change with respect to the reference model becomes too large, and an error is easily generated.

[0007] Therefore, an object of the present disclosure is to provide a body shape data acquisition system that can simply acquire body shape data.

[0008] A body shape data acquisition system according to one aspect includes: a biological information acquisition unit configured to acquire biological information of a user; a storage unit configured to store a plurality of reference body shape data each of which is associated with biological information; a selection unit configured to select, from among the reference body shape data stored in the storage unit, a reference body shape data corresponding to the biological information acquired by the biological information acquisition unit; and a body shape data acquisition unit configured to acquire body shape data of the user using the reference body shape data selected by the selection unit.

[0009] With this configuration, a plurality of reference body shape data each of which is associated with biological information is prepared, and a reference body shape data corresponding to the biological information of the user is selected from among the reference body shape data to acquire the body shape data of the user, so the body shape data can be acquired simply without measuring the size of each part of the user's body. Note that the body shape data acquisition unit can use the selected reference body shape data as the body shape data of the user as it is, or can use the selected reference body shape data after making slight modifications or adjustments thereto as the body shape data of the user.

[0010] In the body shape data acquisition system, the selection unit can select a plurality of reference body shape data each of which corresponds to the biological information acquired by the biological information acquisition unit, and the body shape data acquisition unit can generate synthesized body shape data by synthesizing the plurality of reference body shape data selected by the selection unit, and acquire the body shape data using the synthesized body shape data.

[0011] With this configuration, compared to a case where one reference body shape data is used directly, the body shape data that corresponds more to the biological information of the user can be acquired. Note that the body shape data acquisition unit can use the synthesized body shape data as the body shape data of the user as it is, or can use the synthesized body shape data after making slight modifications or adjustments thereto as the body shape data of the user.

[0012] In the body shape data acquisition system, the selection unit can select one reference body shape data corresponding to the biological information acquired by the biological information acquisition unit, and the body shape data acquisition unit can modify the one reference body shape data selected by the selection unit to acquire the body shape data.

[0013] With this configuration, the reference body shape data can be modified in accordance with the body shape of the user to acquire a body shape model of the user. In particular, by this modification, the size of a part of the body whose correlation with the biological information is weak and whose estimation accuracy is likely to be low can be adjusted. Note that the body shape data acquisition unit can use the modified reference body shape data as the body shape data of the user as it is, or can use the modified reference body shape data after making further slight modifications or adjustments thereto as the body shape data of the user.

[0014] In the body shape data acquisition system, the body shape data acquisition section can correct the synthesized body shape data to acquire the body shape data.

[0015] With this configuration, the body shape data can be acquired on the basis of the synthesized body shape data corrected in accordance with the user's body shape. In particular, by this correction, the size of a body part whose correlation with biological information is weak and whose estimation accuracy is likely to be low even by the synthesis of the reference body shape data can be adjusted. Note that the body shape data acquisition section can directly use the corrected synthesized body shape data as the user's body shape data, or can further slightly correct or adjust the corrected synthesized body shape data to use it as the user's body shape data.

[0016] In the body shape data acquisition system, the body shape data acquisition section can correct in accordance with a correction instruction, and the storage section can store the content of the correction.

[0017] With this configuration, the content of the correction in accordance with the correction instruction can be stored in advance.

[0018] In the body shape data acquisition system, the body shape data acquisition section can correct using an operation input, information representing the user's body shape, or the content of the correction stored in the storage section as the correction instruction.

[0019] With this configuration, the instruction to correct can be given by various methods. In particular, in the case where the correction is made in accordance with the content of the correction stored in the storage section, the correction is made in accordance with the content of the correction made in the past, and thus the instruction to correct does not need to be given each time the body shape data is acquired. Note that the information representing the body shape can also be the user's clothing size.

[0020] In the body shape data acquisition system, the body shape data acquisition section can correct the size and / or posture of a bone.

[0021] With this configuration, the size and / or posture of a bone whose correlation with biological information is weak can be adjusted to acquire body shape data that is closer to the user's body.

[0022] The body shape data acquisition system can further include a display section that displays a human body model based on the body shape data, the body shape data acquisition section can correct in accordance with a correction instruction based on an operation input, the display section can accept the operation input, and a screen including the human body model reflecting the correction can be displayed.

[0023] With this configuration, the user can perform the operation input for the correction instruction while confirming the human body model reflecting the correction on the screen.

[0024] In the body shape data acquisition system described above, the storage unit can be a database that stores the biological information and the reference body shape data in association with each other, and the selection unit can determine the biological information that is close to the biological information acquired by the biological information acquisition unit from among the biological information stored in the database, and select the reference body shape data that is associated with the determined biological information in the database.

[0025] With this configuration, the biological information that is close to the acquired biological information can be determined from among the biological information stored in the database using the Euclidean distance, and the reference body shape data can be selected.

[0026] In the body shape data acquisition system described above, the storage unit can be a database that stores the biological information and the reference body shape data in association with each other, and the selection unit can determine the biological information that is close to the biological information acquired by the biological information acquisition unit from among the biological information stored in the database using a synthetic vector of new eigenvectors of the biological information acquired by the biological information acquisition unit as an origin, which are processed from the biological information by principal component analysis, and select the reference body shape data that is associated with the determined biological information in the database.

[0027] With this configuration, the biological information that is close to the acquired biological information can be determined from among the biological information stored in the database by performing principal component analysis on the biological information, and the reference body shape data can be selected.

[0028] In the body shape data acquisition system described above, the storage unit can store a prediction algorithm that learns an input of the biological information and an output of the reference body shape data corresponding to the biological information, and the selection unit can select the output when the biological information acquired by the biological information acquisition unit is input to the prediction algorithm as the reference body shape data corresponding to the biological information acquired by the biological information acquisition unit.

[0029] With this configuration, the reference body shape data corresponding to the acquired biological information can be selected using a machine learning model.

[0030] In the body shape data acquisition system described above, the biological information can be at least one of gender, age, height, weight, bioelectrical impedance between the hands and feet, bioelectrical impedance between the hands, bioelectrical impedance between the feet, fat mass, lean body mass, fat thickness, and muscle mass. Alternatively, in the body shape data acquisition system described above, the biological information can include information obtained by measurement of bioelectrical impedance.

[0031] With this configuration, in order to acquire the body shape data, the body shape data can be acquired from information such as gender, age, height, weight, bioelectrical impedance, and fat mass calculated from the bioelectrical impedance, which are comparatively easily acquired.

[0032] A body shape data acquisition program of one aspect causes a computer provided with a storage section in which a plurality of reference body shape data corresponding to biological information are stored to function as the following configuration: a biological information acquisition section that acquires biological information of a user; a selection section that selects, from the reference body shape data stored in the storage section, the reference body shape data corresponding to the biological information acquired by the biological information acquisition section; and a body shape data acquisition section that acquires the body shape data of the user using the reference body shape data selected by the selection section.

[0033] Also, with this configuration, a plurality of reference body shape data corresponding to biological information are prepared, and the reference body shape data corresponding to the biological information of a user is selected therefrom to acquire the body shape data of the user, so the body shape data can be acquired simply without measuring the dimensions of each part of the user's body. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 A diagram for illustrating a body shape data acquisition system of an embodiment.

[0035] Figure 2 A diagram for illustrating a use scenario of a measuring device of an embodiment.

[0036] Figure 3 A block diagram for illustrating a configuration of a body shape data acquisition system of an embodiment.

[0037] Figure 4 A diagram for illustrating an example of a database of an embodiment.

[0038] Figure 5 A diagram for illustrating an example of a human body model based on body shape data of an embodiment.

[0039] Figure 6 A diagram for illustrating the calculation of similarity in a first selection method of an embodiment.

[0040] Figure 7 A diagram for illustrating the calculation of similarity of an embodiment.

[0041] Figure 8 A diagram for illustrating the generation of synthetic body shape data of an embodiment.

[0042] Figure 9 A diagram for illustrating a correction screen for performing correction based on manual operation of an embodiment.

[0043] Figure 10A flowchart of the body shape data acquisition method of the embodiment.

[0044] Figure 11 A flowchart of the body shape data acquisition method of the embodiment. DETAILED DESCRIPTION

[0045] Embodiments of the present disclosure will be described below with reference to the accompanying drawings. Note that the embodiments described below represent one example of a case where the present disclosure is implemented, and the present disclosure is not limited to the specific configurations described below. In implementing the present disclosure, the specific configurations corresponding to the embodiments can be appropriately adopted.

[0046] In this specification, body shape data refers to data for expressing a body shape. The body shape data can be data for expressing a two-dimensional shape of a body, but in the present embodiment is data for expressing a three-dimensional shape of a body. In the case where the body shape data is data for expressing a three-dimensional shape, the data form thereof can be any of a wireframe, a surface, a solid, a voxel, a polygon, and the file format thereof can be any of JSON, STL, PLY, or the like. The body shape data can also not be data for expressing a two-dimensional or three-dimensional shape by itself, but can be a set of parameters for expressing the sizes of the respective parts of a body. In this case, the parameters are applied to a predetermined human body model, and thus a human body model according to the parameters is obtained.

[0047] Figure 1 A diagram of the body shape data acquisition system of the embodiment. Furthermore, Figure 2 A diagram of a usage scheme of the measuring device of the embodiment. In the present embodiment, the body shape data acquisition system 50 is composed of the measuring device 10 and an information processing terminal (hereinafter referred to as "user terminal") 20. The measuring device 10 is a body composition meter, and is capable of measuring body weight and body composition as biological information. The measuring device 10 is provided with a main body portion 11 and a handle unit 12.

[0048] The main body portion 11 and the handle unit 12 are electrically connected by a connection cord 13. The handle unit 12 is capable of being housed in a housing portion 14 provided in the main body portion 11. When the handle unit 12 is housed in the housing portion 14, the connection cord 13 is wound by a non-illustrated winding mechanism inside the main body portion 11, and is housed inside the main body portion 11.

[0049] The main body portion 11 is provided with a power supply electrode 111R and a measurement electrode 112R on the right side of the upper surface, and is provided with a power supply electrode 111L and a measurement electrode 112L on the left side of the upper surface.

[0050] The handle unit 12 has a substantially rod-like shape, and has a handle main body 15 in the center thereof, and a grip 16R and a grip 16L provided on both sides of the handle main body 15. A display panel 17 and operation buttons 18A to 18D are provided on the handle main body 15. Further, the grip 16R has an energization electrode 161R and a measurement electrode 162R, and the grip 16L has an energization electrode 161L and a measurement electrode 162L.

[0051] In Figure 2 In the use example shown, the user stands on the main body portion 11 barefoot and upright, and holds the handle unit 12 with both hands while stretching both arms forward, whereby the measurement of biological information can be performed. At this time, the toe root of the right foot contacts the energization electrode 111R, the rear heel of the right foot contacts the measurement electrode 112R, the toe root of the left foot contacts the energization electrode 111L, the rear heel of the right foot contacts the measurement electrode 112L, the palm of the right hand contacts the energization electrode 161R, the fingers of the right hand contacts the measurement electrode 162R, the palm of the left hand contacts the energization electrode 161L, and the fingers of the left hand contacts the measurement electrode 162L.

[0052] Further, the main body portion 11 has a load cell for measuring body weight inside, as shown in Figure 2 As shown, the body weight of the user standing on the main body portion 11 can be measured.

[0053] The user terminal 20 is a portable terminal having a computer capable of executing an application program, an internal memory such as a flash memory, a touch panel, various connectors, and the like. Further, the user terminal 20 has a wireless communication device for connecting to the Internet, and a close proximity communication device for connecting to other devices in the vicinity. The measurement device 10 has a close proximity communication device for connecting to other devices in the vicinity. The measurement device 10 and the user terminal 20 can be paired with each other, whereby various information can be transmitted and received by close proximity wireless communication.

[0054] Figure 3 A block diagram showing the configuration of the body shape data acquisition system of the embodiment. The body shape data acquisition system 50 has an input portion 51, a measurement portion 52, a selection portion 53, a storage portion 54, an acquisition portion 55, a correction instruction reception portion 56, and a display portion 57.

[0055] The measurement unit 52 is provided to the measurement device 10. As for the configurations other than the measurement unit 52, any one of the measurement device 10 and the user terminal 20 can be provided, or all of the configurations can be provided to the measurement device 10 to constitute the body shape data acquisition system 50 by the measurement device 10 alone. Further, the selection unit 53, the storage unit 54, the acquisition unit 55, and the correction instruction reception unit 56 can be provided to another device that communicates with the measurement device 10 or the user terminal 20 via the Internet, and the body shape data acquisition system 50 can be constituted by the another device, the measurement device 10, and the user terminal 20. In this case, the another device can be shared by a plurality of measurement devices 10 or user terminals 20.

[0056] In the present embodiment, the input unit 51 and the measurement unit 52 are provided to the measurement device 10, and the other configurations are provided to the user terminal 20. Further, in the present embodiment, the user terminal 20 is a general-purpose computer, and the selection unit 53, the storage unit 54, the acquisition unit 55, and the correction instruction reception unit 56 are constituted by the user terminal 20 by executing an application program that operates on an operating system thereof by a processor. The application program can be provided to the user terminal 20 by being downloaded from the communication Internet by the user terminal 20, or can be provided to the user terminal 20 by a non-transitory recording medium.

[0057] The input unit 51 receives an on / off operation of a power supply of the measurement device 10, various setting operations, and an input operation of biological information by a user. Specifically, the input unit 51 receives an input operation of biological information such as age, sex, height, and the like. The measurement unit 52 measures biological information such as body weight, bioelectrical impedance, and the like of the user. Further, the measurement unit 52 applies biological information such as height, body weight, bioelectrical impedance, and the like of the user to a prescribed regression equation to perform an operation, thereby acquiring biological information such as a fat rate of the whole body and each part of the body. Thus, the biological information has contents input by the user at the input unit 51 (input biological information), contents measured at the measurement unit 52 (measured biological information), and contents calculated by the operation at the measurement unit 52 (calculated biological information).

[0058] The measurement unit 52 is provided with a load cell for measuring body weight. The load cell is constituted by a strain body of a metal member that deforms according to a load and a strain gauge attached to the strain body. When the user stands on the measurement device 10, the strain body of the load cell is flexed and the strain gauge is stretched due to the load of the user. The resistance value (output value) of the strain gauge changes according to the stretching. The measurement unit 52 calculates the body weight from the difference between the output value of the load cell when no load is applied (zero point) and the output value when the load is applied. Note that, as for the configuration of the body weight measurement using the load cell, the same configuration as a general body weight scale can be used.

[0059] The measurement unit 52 further includes the electrodes 111R, 111L, 112R, 112L, 161R, 161L, 162R, 162L described above and a current control circuit that causes current to flow to each of the electrodes 161R, 161L, 111R, 111L.

[0060] The measurement of the bioelectrical impedance of the entire body and each body part in the measurement unit 52 is performed, for example, as follows.

[0061] (1) The measurement of the bioelectrical impedance of the entire body uses the current supplied from the current supply electrode 161L and the current supply electrode 111L, and measures the potential difference between the measurement electrode 162L in contact with the left hand and the measurement electrode 112L in contact with the left foot in the current path that flows through the left hand, the left arm, the chest, the abdomen, the left leg, and the left foot.

[0062] (2) The measurement of the bioelectrical impedance of the right leg uses the current supplied from the current supply electrode 161R and the current supply electrode 111R, and measures the potential difference between the measurement electrode 112L in contact with the left foot and the measurement electrode 112R in contact with the right foot in the current path that flows through the right hand, the right arm, the chest, the abdomen, the right leg, and the right foot.

[0063] (3) The measurement of the bioelectrical impedance of the left leg uses the current supplied from the current supply electrode 161L and the current supply electrode 111L, and measures the potential difference between the measurement electrode 112L in contact with the left foot and the measurement electrode 112R in contact with the right foot in the current path that flows through the left hand, the left arm, the chest, the abdomen, the left leg, and the left foot.

[0064] (4) The measurement of the bioelectrical impedance of the right arm uses the current supplied from the current supply electrode 161R and the current supply electrode 111R, and measures the potential difference between the measurement electrode 162L in contact with the left hand and the measurement electrode 162R in contact with the right hand in the current path that flows through the right hand, the right arm, the chest, the abdomen, the right leg, and the right foot.

[0065] (5) The measurement of the bioelectrical impedance of the left arm uses the current supplied from the current supply electrode 161L and the current supply electrode 111L, and measures the potential difference between the measurement electrode 162L in contact with the left hand and the measurement electrode 162R in contact with the right hand in the current path that flows through the left hand, the left arm, the chest, the abdomen, the left leg, and the left foot.

[0066] In this way, the measurement unit 52 causes current to flow from each of the current supply electrodes to a prescribed part of the user's body, measures the potential difference generated in the current path, and calculates the bioelectrical impedance of the entire body or each body part of the user based on each value of the current and the potential difference. The configuration for the measurement of the bioelectrical impedance can use the same configuration as that of a general body composition meter.

[0067] Furthermore, the measurement unit 52 applies the input biometric information and the measured biometric information to a predetermined regression equation to perform calculations, thereby obtaining calculated biometric information such as fat percentage, fat mass, lean body mass, muscle mass, visceral fat mass, visceral fat level, internal fat area, subcutaneous fat mass, basal metabolic rate, bone mass, body water content, BMI (Body Mass Index), intracellular fluid volume, and extracellular fluid volume. The calculation structure for the calculated biometric information can also be similar to that of a typical body composition monitor. It should be noted that the calculated biometric information can be obtained using a machine learning model that takes the input biometric information and the measured biometric information as input and outputs the calculated biometric information.

[0068] As described above, the input unit 51 acquires biological information through operation input, and the measurement unit 53 acquires biological information through measurement or measurement and calculation, and both function as a biological information acquisition unit that acquires biological information.

[0069] The storage unit 54 includes a database in which biological information and reference body shape data (hereinafter referred to as “reference body shape data”) are associated with each other. Figure 4 This is a diagram showing an example of a database according to an embodiment of the present invention. Figure 4 In the example shown in FIG. 1 , the biometric information of gender, age, height, weight, BMI, and fat percentage is associated with the reference body shape data and is formed into a single record for each measurement number. It should be noted that the biometric information stored in the storage unit 54 may include not only gender, age, height, weight, BMI, and fat percentage themselves, but also multipliers or ratios thereof.

[0070] Figure 5 1 is a diagram showing an example of a human body model based on body shape data according to an embodiment. In this example, the body shape data is three-dimensional data in a wireframe format.

[0071] like Figure 4 As shown, the database stores many combinations of biological information and reference body shape data. It should be noted that the database may also store a table that associates measurement numbers with biological information and a table that associates measurement numbers with reference body shape data.

[0072] The selection section 53 selects the reference body shape data corresponding to the biological information acquired at the input section 51 and the measurement section 52 from the reference body shape data stored in the storage section 54. In the present embodiment, as described above, in the database of the storage section 54, the gender, age, height, weight, BMI, and fat rate are stored in correspondence with the reference body shape data, and therefore the selection section 53 extracts the gender, age, height of the user input to the input section 51 and the weight, BMI, and fat rate of the user measured by the measurement section 54, and searches the database for the biological information close thereto. Note that, as described above, in the case where the multiplier or ratio of the gender, age, height, weight, BMI, and fat rate is included in the database of the storage section 54, the selection section 53 calculates the multiplier or ratio corresponding thereto.

[0073] The acquisition section 55 acquires the body shape data of the user using the reference body shape data selected by the selection section 53. Hereinafter, as the method of selection of the reference body shape data in the selection section 53 and acquisition of the body shape data in the acquisition section 55, the two methods will be described.

[0074] (First method of selection of reference body shape data and acquisition of body shape data)

[0075] In the first method of selection of the reference body shape data and acquisition of the body shape data, the selection section 53 selects one reference body shape data, and the acquisition section 55 acquires the body shape data of the user using the reference body shape data. The selection section 53 searches the biological information stored in the storage section 54 (hereinafter referred to as "stored information") for the biological information similar to the biological information acquired at the input section 51 and the measurement section 52 (hereinafter referred to as "acquired information"), and selects the reference body shape data corresponding to the stored information most similar to the acquired information. As the method of this selection, three examples will be described below.

[0076] (First selection method)

[0077] In the first selection method, the selection section 53 searches for the stored information having a high degree of similarity to the acquired information. The degree of similarity is calculated from the difference between the acquired information and the stored information. Specifically, the degree of similarity is calculated based on the Euclidean distance between the acquired information and the stored information in a multidimensional coordinate space having the gender, age, height, weight, BMI, and fat rate as variables.

[0078] The following equation (1) is an equation for calculating the degree of similarity in the first selection method.

[0079] [Equation 1]

[0080]

[0081] Here, i is the number of the stored information, j is the number of the variable constituting the multidimensional space coordinate, S iis the similarity between the i-th stored information and the acquired information, v ij is the vector of the jth variable storing information of the i-th variable, v 0j is the vector of the jth variable of the acquired information. According to formula (1), the closer the Euclidean distance between the acquired information and the stored information, the higher the similarity S i The bigger.

[0082] Figure 6 This is a diagram illustrating the calculation of similarity in the first selection method of the embodiment. Figure 6 In the example, for ease of understanding, a three-dimensional coordinate space using only height, weight, and fat percentage as variables is shown. However, when gender, age, height, weight, BMI, and fat percentage are used as variables, the Euclidean distance in the six-dimensional coordinate space is calculated. Figure 6 In the example, the hollow circle (“○” in the figure) is the acquired information, the small dot (“·” in the figure) is the stored information, and the solid circle (“●” in the figure) is the stored information that is closest (similar) to the acquired information.

[0083] It should be noted that when similarity is calculated using the Euclidean distance, the difference between variables may be weighted as shown in the following formula (2).

[0084] [Formula 2]

[0085]

[0086] Here, W j is the weight (importance) of the jth variable.

[0087] The selection unit 53 selects the reference body shape data associated with the storage information closest to the acquired information, that is, the storage information with the highest similarity.

[0088] (Second option)

[0089] In the second selection method, the selection unit 53 also searches for stored information with a high degree of similarity to the acquired information. However, in the second search method, the acquired information and stored information are processed by principal component analysis, and the similarity is calculated based on a composite vector of new eigenvectors with the acquired information as the origin.

[0090] The following formula (3) is a formula for calculating the similarity in the second selection method.

[0091] [Formula 3]

[0092]

[0093] Here, j (pca) is the number of the main component axis that constitutes the multidimensional space coordinate, vij (pca) is the i-th stored information with respect to the inherent vector of the acquired information.

[0094] Figure 7 is a graph for explaining the calculation of the similarity of the embodiment. In Figure 7 In the example, in order to facilitate understanding, a case where principal component analysis is performed with the first to third principal components as variables is shown, but the number of principal components can be larger than 3 or smaller than 3. In Figure 7 In the example, the hollow circle (the "O" in the drawing) is the acquired information, the small dot (the "·" in the drawing) is the stored information, and the solid circle (the "●" in the drawing) is the stored information that is closest (similar) to the acquired information.

[0095] Note that the axes of the plurality of principal component analyses can be combined by weighting as shown in the following formula (4).

[0096] [Formula 4]

[0097]

[0098] Here, W j (pca) is the j-th stored information with respect to the acquired information. (pca) is the weight (importance) of the principal component axis.

[0099] The selection section 53 selects the reference body shape data with which the stored information that is closest to the acquired information, that is, the stored information with the highest similarity, is established. Note that in the present embodiment, the similarity is evaluated on the basis of the processing of the stored information and the acquired information by principal component analysis, but the processing method of the information is not limited to principal component analysis, and can be any processing method based on dimension reduction of high-dimensional biological information, such as processing based on singular value decomposition.

[0100] (Third selection method)

[0101] In the third selection method, the storage section 54 stores a prediction algorithm that learns with biological information as input and reference body shape data corresponding to the biological information as output. As the prediction algorithm, a prediction algorithm that learns by constructing a hierarchical neural network of at least three or more layers with biological information as input and reference body shape data or a feature amount thereof as output can be used. Note that, as the prediction algorithm, in addition to the neural network, other machine learning models such as k-means, SVM (Support Vector Machine), random forest, and the like can be used.

[0102] The selection section 53 selects the output when the acquired information is input to the prediction algorithm as the reference body shape data corresponding to the acquired information.

[0103] The acquisition section 55 acquires the body shape data of the user using the reference body shape data selected by the selection section 53. The acquisition section 55 first sets the reference body shape data directly as the body shape data of the user. The acquisition section 55 can also correct the reference body shape data as the body shape data of the user. The correction will be described later.

[0104] (Second method of selection of reference body shape data and acquisition of body shape data)

[0105] In the second method of selection of reference body shape data and acquisition of body shape data, the selection section 53 selects a plurality of reference body shape data, and the acquisition section 55 acquires the body shape data of the user using the selected plurality of reference body shape data. Specifically, the selection section 53 searches for a prescribed number of storage information closest to the acquisition information by any one of the above-described first to third selection methods, and selects a plurality of reference body shape data that have correspondence with these storage information. The acquisition section 55 performs a synthesis process on the plurality of reference body shape data selected by the selection section 53, thereby generating a synthesized body shape data.

[0106] Figure 8 A diagram for explaining the generation of the synthesized body shape data of the embodiment. In the example of Figure 8 , an example in which a synthesis process is performed considering only the first principal component axis that represents the shape of the abdomen is shown for ease of explanation. In the example of Figure 8 , the selection section 53 selects, for the first principal component axis, the storage information Dl closest to the acquisition information D0, and the storage information D2 closest to the storage information Dl in the opposite direction on the axis from the acquisition information D0.

[0107] As shown in Figure 8 , in the case where the storage information Dl and D2 are obtained as the two storage information closest to the acquisition information D0, assuming that the respective similarities are S 1 and S2, as shown in Figure 8 , the acquisition section 55 is made to calculate the synthesized body shape data Mc by dividing the shape between the reference body shape data Ml corresponding to the storage information Dl and the reference body shape data M2 corresponding to the storage information D2 in the ratio of S 1 :S2.

[0108] The following describes in detail the synthesis process of the acquisition unit 55 generating the synthesized body shape data. The acquisition unit 55 calculates the position information of each point of the point group constituting the body shape model represented by the synthesized body shape data. Specifically, the acquisition unit 55 calculates the position information of each of the above-mentioned points, wherein the position information includes similarity in the variable according to each axis (variable) in the multidimensional coordinate space composed of multiple axes (variables). It should be noted that the axis (variable) can also be a main component axis. The position information P of the k-th point k of the point group constituting the body shape model represented by the synthesized body shape data, including the similarity in the variable on the j-th axis j in the multidimensional coordinate space composed of multiple axes kj The calculation formula of is shown in the following formula (5).

[0109] [Formula 5]

[0110]

[0111] Here, S c,j (1) 、S c,j (2) ,……,S c,j (t) The similarity between each of the t pieces of stored information selected by the selection unit 53 and the acquired information on axis j is calculated in order to calculate the similarity on axis j. In addition, G is a function with similarity as a variable, α kj is the interpolation rate of point k on axis j. It should be noted that P 0，k (1，2，...t) is the position information of a point corresponding to point k of the body shape model represented by the synthetic body shape data, in the point group constituting the body shape model represented by the reference body shape data, wherein the reference body shape data corresponds to any one of the t pieces of storage information selected for calculating the similarity on the axis j. Alternatively, P 0，k (1，2，...t) Alternatively, it may be average position information of each point corresponding to point k of the body shape model represented by the synthesized body shape data in a point group constituting each body shape model represented by reference body shape data corresponding to a plurality of the t pieces of stored information.

[0112] The acquisition unit 55 performs the multi-dimensional coordinate space consisting of a plurality of axes (variables) according to each axis (variable). Figure 8 The synthesis process shown in the figure is to synthesize them to generate the synthesized body shape data. The position information P of the k-th point k of the point group constituting the body shape model represented by the synthesized body shape data is synthesized by synthesizing the position information of each axis in the multidimensional coordinate space composed of multiple axes as a variable. k The calculation formula of is shown in the following formula (6).

[0113] [Formula 6]

[0114]

[0115] Here, C j It is the contribution rate of the j-th axis (variable) used to calculate the similarity to the generation of the synthetic body shape data.

[0116] It should be noted that, regardless of the position of acquiring the information, the acquiring unit 55 may perform the synthesis process so as to use the middle point between the two selected stored information as the synthesized body shape data.

[0117] Furthermore, in cases where the reference body shape data is not three-dimensional data but is defined by a set of parameters representing the dimensions of various body parts, as described above, interpolation of these parameters may be performed instead of the above-described synthesis process to generate the synthesized body shape data. Furthermore, for example, if the first principal component in principal component analysis of the stored information represents waist circumference, and if the waist circumferences of the two closest reference body shape data are 63 cm and 65 cm, the waist circumference of the synthesized body shape data, whichever is between the two reference body shape data, may be set to 64 cm.

[0118] As described above, the acquisition unit 55 acquires a single piece of reference body shape data selected by the selection unit 53 in the first method, and synthesizes multiple pieces of reference body shape data selected by the selection unit 53 to acquire synthesized body shape data in the second method. Furthermore, the acquisition unit 55 has the function of correcting these reference body shape data and synthesized body shape data. The following describes a correction method based on this correction function.

[0119] The correction instruction accepting unit 56 accepts a correction instruction based on a manual operation by the user on the correction screen displayed on the display unit 57. The acquisition unit 55 corrects the reference body shape data and the synthesized body shape data according to the manual operation accepted by the correction instruction accepting unit 56. For this correction, the display unit 57 displays the correction screen, which includes a human body model represented by the reference body shape data and the synthesized body shape data and a table of the dimensions of each correctable body part.

[0120] Figure 9 This figure shows a correction screen for performing correction based on manual operation according to an embodiment. In the correction screen 571, a table T of the sizes of each part that can be corrected is included together with the human body model M. In the table T, the current size is shown with an indicator (bar graph) and a numerical value for each part that can be corrected. Figure 9 In this example, dimensions that are difficult to estimate from bioelectrical impedance are primarily correctable, such as skeletal dimensions like height, neck length, shoulder width, and arm length, as well as dimensions like neck circumference, wrist, and hip height. Additionally, posture factors such as the degree of back curvature (hunchback) can also be corrected.

[0121] The user can change the size of each part of the mannequin M in the correction screen 571 by directly designating the part. For example, as shown in Figure 9 when a pinch-out touch operation of the shoulders of the mannequin M is performed, the correction instruction accepting section 56 accepts a correction instruction based on the operation, and the acquisition section 55 corrects the reference body shape data and the synthesized body shape data in such a manner that the shoulder width is widened in accordance with the instruction. The display section 57 displays the mannequin M with the widened shoulder width in accordance with the corrected reference body shape data and the synthesized body shape data.

[0122] Further, as shown in Figure 9 when a pinch-in touch operation of the calf of the mannequin M is performed, the correction instruction accepting section 56 accepts a correction instruction based on the operation, and the acquisition section 55 corrects the reference body shape data and the synthesized body shape data in such a manner that the calf length is shortened in accordance with the correction instruction. The display section 57 displays the mannequin M with the shortened calf length in accordance with the corrected reference body shape data and the synthesized body shape data. Further, when a touch operation is directly performed on the mannequin M displayed in the correction screen 571 to change the size of the part, the change is immediately reflected in the table T as well.

[0123] Further, when the front end (right end) of the indicator is pulled to stretch the indicator in the table T, the display section 57 stretches the indicator. The correction instruction accepting section 56 accepts a correction instruction based on the operation, and the acquisition section 55 corrects the reference body shape data and the synthesized body shape data in such a manner that the corresponding part is corrected in accordance with the correction instruction. At the same time, the stretching of the indicator is reflected in the values of the table T. Furthermore, the display section 57 reflects the correction of the reference body shape data and the synthesized body shape data in the mannequin M as well.

[0124] Further, when an operation of rewriting the values in the table T is performed, the correction instruction accepting section 56 accepts a correction instruction based on the operation, and the display section 57 rewrites the values of the table T. In correspondence therewith, the acquisition section 55 corrects the reference body shape data and the synthesized body shape data in such a manner that the corresponding part is corrected in accordance with the correction instruction. The display section 57 further stretches the indicator in accordance with the rewritten values, and displays the mannequin M reflecting the correction of the reference body shape data and the synthesized body shape data.

[0125] In this way, the user can correct the reference body shape data and the synthesized body shape data to match their own body shape through the correction function of the acquisition unit 55. Furthermore, on the correction screen 571, the user can change the size of each part by directly manipulating the human body model generated using the reference body shape data and the synthesized body shape data. Alternatively, the user can change the size of each part by extending or retracting the indicator for each part, or by rewriting the numerical value for each part. In either case, the user can confirm the corrected human body model on the correction screen 571.

[0126] As Figure 9 In a variation of the example, it is possible to specify information representing the user's body shape, such as the dimensions of various body parts such as neck circumference, chest circumference, waist circumference, arm circumference, and thigh circumference, or the size of the clothing the user is wearing or the body type, thereby instructing corrections. For example, for suits, in the Japanese format, the size can be specified from 1 to 10, and the body type can be specified as YA, A, AB, BE, E, or K. Furthermore, in the British and American formats, the chest and waist sizes can be specified from 36 to 42, and the height category can be specified as Short (SHT), Regular (REG), or Long (LONG). Furthermore, in the European format, the chest size can be specified from 42 to 56, the waist size can be specified from Frop8 to Drop0, and the height category can be specified as Corco (C), Regolate (R), or Long (Lung). For example, in the Japanese system, when the user inputs the size and body type to the correction instruction accepting unit 56, the acquiring unit 55 corrects the numerical values ​​of the shoulder width, waist circumference, etc. according to the size and body type.

[0127] When the correction instruction accepting unit 56 receives a correction instruction, the acquiring unit 55 corrects the reference body shape data and the synthesized body shape data according to the correction instruction and stores the corrected information in the storage unit 54. The corrected information stored in the storage unit 54 is referenced the next time body shape data is acquired based on the acquisition information for the same user. In other words, if the storage unit 54 already stores previous corrected information for the same user, the correction instruction accepting unit 56 corrects the reference body shape data and the synthesized body shape data according to the corrected information. It should be noted that in this case, the user can also make corrections manually using the correction screen.

[0128] Further, in the case where the reference body shape data and the synthesized body shape data are corrected, the record of the reference body shape data and the synthesized body shape data corrected as new reference body shape data can be stored in the database of the storage section 54 together with the biological information of the user, and the database can be updated in this way. In particular, in the case where the storage section 54 is provided in another device different from the measuring device 10 and the user terminal 20, and is shared by a plurality of users, the corrections made by the plurality of users are reflected in the database, and the database is effectively updated.

[0129] When one reference body shape data is selected by the selection section 53, the acquisition section 55 uses the reference body shape data, and when a plurality of reference body shape data is selected by the selection section 53, the acquisition section 55 uses the synthesized body shape data generated by performing the synthesis process thereon. When a correction instruction is accepted by the correction instruction accepting section 56, the acquisition section 55 further corrects the reference body shape data and the synthesized body shape data, and acquires the body shape data of the user.

[0130] The display section 57 displays a human model using the body shape data acquired by the acquisition section 55. In the present embodiment, the reference body shape data (and the synthesized body shape data synthesized therefrom) is data represented by a wire frame, and the human model displayed by the display section 57 is a curved surface model obtained by transforming the wire frame. Note that the data form of the human model displayed can be the same as that of the reference body shape data, and the display section 57 can display the reference body shape data, the synthesized body shape data, or data obtained by correcting them, as the human model directly. Further, the body shape data acquisition system 50 can not have the display section 57, and can transmit only the body shape data acquired by the acquisition section 55 to another device.

[0131] When the human model is displayed on the display section 57, a rotation operation can be performed, and a zoom-in or zoom-out operation can be performed. Further, the body shape data can be provided with information of joints, and the hands and feet of the human model can be made movable.

[0132] Figure 10 A flowchart of the body shape data acquisition method of the embodiment. Figure 10 The flowchart shows an example in which the selection section 53 selects one reference body shape data. First, the input section 51 accepts an operation input of inputting biological information such as the gender, age, and height of the user, the measurement section 52 measures biological information such as the body weight and bioelectrical impedance, and calculates biological information such as the body fat rate, and the various biological information (acquired information) is output to the selection section 53 (step S101). Next, the selection section 53 refers to the database of the storage section 54 to determine one stored information closest to the acquired information, selects one reference body shape data corresponding to the determined stored information, and outputs to the acquisition section 55 (step S102).

[0133] The correction instruction receiving section 56 judges whether the contents of the past correction are stored in the storage section 54 (step S103), and in the case where the contents of the past correction are stored (YES in step S103), the acquisition section 55 corrects the reference body shape data with the correction contents as the correction instruction (step S104). When the contents of the past correction are not stored in the storage section 54 (NO in step S103), and after the correction is made according to the stored correction contents, it is judged whether the correction instruction from the user is received by the correction instruction receiving section 56 (step S105).

[0134] When the correction instruction from the user is received by the correction instruction receiving section 56 (YES in step S105), the reference body shape data is corrected according to the correction instruction (step S106), and the corrected contents are stored in the storage section 54 (step S107). In the case where the correction instruction from the user is not received (NO in step S105), and after the reference body shape data is corrected, the acquisition section 55 acquires the reference body shape data (the corrected reference body shape data in the case where the correction is made) as the body shape data of the user, and outputs it to the display section 57 (step S108). The display section 57 displays the human body model according to the body shape data (step S109).

[0135] Figure 11 A flowchart of the body shape data acquisition method of the embodiment. Figure 11 The flowchart shows an example in which the selection section 53 selects a plurality of reference body shape data. First, the input section 51 receives the operation input of the input biological information such as the sex, age, height, etc. of the user, the measurement section 52 measures the biological information such as the body weight, bioelectrical impedance, etc., and calculates the biological information such as the fat rate, etc., thereby acquiring various biological information (acquired information), and outputs it to the selection section 53 (step S111). Next, the selection section 53 refers to the database of the storage section 54 to determine a plurality of (for example, three) biological information (stored information) closest to the acquired information, acquires a plurality of reference body shape data corresponding to each of the determined stored information, and outputs it to the acquisition section 55 (step S112).

[0136] The acquisition section 55 synthesizes the plurality of reference body shape data selected by the selection section 53, and generates synthesized body shape data (step S113). The correction instruction section 56 judges whether or not the content of the correction performed in the past is stored in the storage section 54 (step S114), and in the case where the content of the correction performed in the past is stored (YES in step S114), the acquisition section 55 corrects the synthesized body shape data using the correction content as a correction instruction (step S115). When the content of the correction is not stored in the storage section 54 (NO in step S114), and after the correction is performed according to the stored correction content, it is judged whether or not a correction instruction from the user is accepted by the correction instruction acceptance section 56 (step S116).

[0137] When a correction instruction from the user is accepted by the correction instruction acceptance section 56 (YES in step S116), the synthesized body shape data is corrected according to the correction instruction (step S117), and the corrected content is stored in the storage section 54 (step S118). When a correction instruction from the user is not accepted (NO in step S116), and after the synthesized body shape data is corrected, the acquisition section 55 acquires the body shape data according to the synthesized body shape data (the corrected synthesized body shape data in the case where correction is performed), and outputs it to the display section 57 (step S119). The display section 57 displays the human body model according to the body shape data (step S120).

[0138] As described above, according to the body shape data acquisition system 50 of the present embodiment, a plurality of reference body shape data is prepared in advance, and when biological information of the user is acquired, the body shape data of the user is acquired by selecting the reference body shape data corresponding to the biological information, so the biological information of the user only needs to be acquired to the extent necessary for selecting the reference body shape data prepared in advance, and the body shape data of the user can be easily acquired. In the above-described embodiment, in the database, a plurality of reference body shape data is associated with gender, age, height, weight, BMI, and fat rate as biological information, respectively, so as the biological information of the user, it is sufficient to acquire these information.

[0139] Further, the number of records stored in the database of the storage section 54 can be reduced, and thus the storage section 54 can be provided in a small user terminal 20 having a limited capacity.

[0140] Note that in a case where only a small amount of information of the user's biological information stored in the database can be acquired, for example, even in a case where only gender, age, height, and weight are acquired as the user's biological information, biological information close to such user's biological information can be searched from the database, and the reference body shape data corresponding to the user's biological information can be selected. Further, in the body shape data acquisition system 50, the measurement unit 52 is not essential, and the above-described selection processing in the selection unit 53 can be performed using the user's own biological information input to the input unit 51 and / or biological information measured by another body composition meter.

[0141] Further, the selection unit 53 can determine the user's attributes such as height and occupation from the user's own biological information input to the input unit 51, and select stored information for which corresponding biological information belongs to the same attributes as the user. Thus, the reference body shape data corresponding to the data of the biological information belonging to the same attributes as the user is selected, and therefore stored information close to the actual user's body shape can be expected to be selected.

[0142] Further, in a case where the bioelectrical impedance is measured as the user's biological information, as in the above-described embodiment, the bioelectrical impedance between the hands and feet (whole body) can be measured, or the bioelectrical impedance between the hands can be measured by a device corresponding to the handle unit 12, or the bioelectrical impedance between the feet can be measured by a device corresponding to the main body unit 11. That is, according to the body shape data acquisition system 50 of the present embodiment, even in a case where only the bioelectrical impedance between the hands or the bioelectrical impedance between the feet is obtained without obtaining the bioelectrical impedance of the whole body, the user's body shape data can be acquired using such bioelectrical impedance.

[0143] Further, according to the above-described embodiment, the user's body model can be visually understood at a glance from the user's biological information obtained by the input unit 51 and the measurement unit 52. In the display on the display unit 57, if the past body model and the target body model are displayed in superposition, the change since the past and the distance from the target body shape can be visually grasped.

[0144] Further, by outputting the body shape data in ".json", ".blender", ".stl", ".ply", or the like, it is also possible to use as character asset data of game, VR, AR, MR, or the like. Also, if various physical properties are given to the body shape data, it is possible to simulate movable areas, movement abilities, or the like of each part of the user. For example, it is possible to add a bone to the body shape data, and output as three-dimensional image data in JSON form or the like, thereby generating a character having a body shape data representing the user's characteristics in a game application development environment such as unity (registered trademark) or the like. Also, by using body composition data such as muscle mass, it is possible to give the character a strength of a jumping power, a strength of a strength, physical ability, or the like according to the user's body composition. It is also possible to express the motion of the character, the mannequin according to the physical ability in the display portion 57.

[0145] Also, by storing the history of the body shape data of the user in the storage portion 54, it is also possible to perform prediction of the future body shape using the progress of the body shape data. Further, it is also possible to set the body shape data of an athlete, a model, or the like as a target body shape, and grasp a similarity, a similar system of the body shape of the user and the target body shape.

[0146] Symbol explanation:

[0147] 10: measurement device;

[0148] 11: main body portion;

[0149] 111R, 111L: electrodes for energization;

[0150] 112R, 112L: electrodes for measurement;

[0151] 12: handle unit;

[0152] 13: connection cord;

[0153] 14: housing portion;

[0154] 15: handle main body;

[0155] 16R, 16L: grips;

[0156] 161R, 161L: electrodes for energization;

[0157] 162R, 162L: electrodes for measurement;

[0158] 17: display panel;

[0159] 18A to 18D: operation buttons;

[0160] 20: information processing terminal (user terminal);

[0161] 50: body shape data acquisition system

[0162] 51: input unit

[0163] 52: measurement unit

[0164] 53: selection unit

[0165] 54: storage unit

[0166] 55: acquisition unit

[0167] 56: correction instruction reception unit

[0168] 57: display unit

[0169] 571: correction screen

Claims

1. A body shape data acquisition system comprising: a biological information acquisition section that acquires biological information of a user, the biological information being at least one of a biological electrical impedance between hands and feet, a biological electrical impedance between both hands, a biological electrical impedance between both feet, and a muscle mass; a storage section that stores a plurality of reference body shape data in association with the biological information; a selection section that selects the reference body shape data corresponding to the biological information acquired by the biological information acquisition section from among the reference body shape data stored in the storage section; and a body shape data acquisition section that acquires body shape data of the user using the reference body shape data selected by the selection section, the body shape data being data for expressing a body shape.

2. The body shape data acquisition system according to claim 1, wherein the selection section selects a plurality of the reference body shape data corresponding to the biological information acquired by the biological information acquisition section, and the body shape data acquisition section generates synthesized body shape data by synthesizing the plurality of the reference body shape data selected by the selection section, and acquires the body shape data using the synthesized body shape data.

3. The body shape data acquisition system according to claim 1, wherein the selection section selects one of the reference body shape data corresponding to the biological information acquired by the biological information acquisition section, and the body shape data acquisition section corrects the one of the reference body shape data selected by the selection section, and acquires the body shape data.

4. The body shape data acquisition system according to claim 2, wherein the body shape data acquisition section corrects the synthesized body shape data, and acquires the body shape data.

5. The body shape data acquisition system according to claim 3, wherein the body shape data acquisition section corrects in accordance with a correction instruction, and the storage section stores a content of the correction.

6. The body shape data acquisition system according to claim 5, wherein the body shape data acquisition section corrects using an operation input, information expressing a body shape of the user, or the content of the correction stored in the storage section as the correction instruction.

7. The body shape data acquisition system according to any one of claims 3 to 6, wherein the body shape data acquisition section corrects a size and / or a posture of a skeleton.

8. The body shape data acquisition system according to claim 5, further comprising a display section that displays a human model based on the body shape data, wherein the body shape data acquisition section corrects in accordance with a correction instruction based on an operation input, the display section receives the operation input, and displays a screen including the human model reflecting the correction.

9. The body shape data acquisition system according to claim 1, wherein the storage section is a database that stores the biological information in association with the reference body shape data, the selection section determines the biological information close in Euclidean distance to the biological information acquired by the biological information acquisition section from among the biological information stored in the database, and selects the reference body shape data in association with the biological information determined in the database.

10. The body shape data acquisition system according to claim 1, wherein ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ The storage section is a database that stores the biological information in association with the reference body shape data, The selection section selects the reference body shape data corresponding to the biological information acquired by the biological information acquisition section from the reference body shape data stored in the storage section using a synthetic vector of new intrinsic vectors of the biological information acquired by the biological information acquisition section, which are processed by principal component analysis, as an origin of the biological information.

11. The body shape data acquisition system according to claim 1, wherein The storage section stores a prediction algorithm that learns an input of the biological information and an output of the reference body shape data corresponding to the biological information, The selection section selects the reference body shape data corresponding to the biological information acquired by the biological information acquisition section as an output when the biological information acquired by the biological information acquisition section is input to the prediction algorithm.

12. The body shape data acquisition system according to any one of claims 1 to 6, 8 to 11, wherein The selection section selects the reference body shape data based on at least one of the biological information acquired by the biological information acquisition section and the gender, age, height, weight, and BMI of the user.

13. A non-transitory storage medium readable by a computer, storing a body shape data acquisition program, wherein The body shape data acquisition program causes a computer provided with a storage section that stores a plurality of reference body shape data in association with biological information that is information of at least one of inter-limb bioelectrical impedance, inter-hand bioelectrical impedance, inter-foot bioelectrical impedance, and muscle mass to function as the following configuration: a biological information acquisition section that acquires the biological information of a user; a selection section that selects the reference body shape data corresponding to the biological information acquired by the biological information acquisition section from the reference body shape data stored in the storage section; and a body shape data acquisition section that acquires body shape data of the user using the reference body shape data selected by the selection section, The body shape data is data for expressing a body shape.

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