Measuring device

Abstract

To provide a human body measuring device capable of urging a person who is negative about measurement of body composition to use the device.SOLUTION: A measuring device includes: an electric resistance value acquisition unit for acquiring an electric resistance value of one or more parts of the body of a person to be measured; and a type determination unit for determining a type indicating body characteristics of the person to be measured from one or more predetermined viewpoints by using the electric resistance value.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a measuring device for the human body. [Background technology]

[0002] As a method for measuring a person's body composition, a measuring device using BIA (Bioelectrical Impedance Analysis) is known (see, for example, Patent Document 1). This measuring device estimates (measures) body composition by passing a weak current through the body and measuring the electrical resistance. For this estimation, the height, weight, etc. of the person being measured are required, and it is also desirable to have information such as gender and age. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2010-220855 Summary of the Invention [Problem to be solved by the invention]

[0004] As mentioned above, estimating body composition requires detailed information such as the subject's height, weight, sex, and age, so even if a measuring device experience event were held at a place where many people gather, such as an event venue, people who do not want to enter (declare) detailed information would be reluctant to use the measuring device. People who are reluctant to use measuring devices include those who are not very health-conscious and those who are not confident about their physical condition.

[0005] If height, weight, etc. are not entered, accurate body composition estimation cannot be performed even if electrical resistance values ​​are measured using a measuring device, which results in people being reluctant to use the measuring device. [Means for solving the problem]

[0006] In view of the above, the inventors have invented a measuring device that can encourage even people who are reluctant to measure their body composition to use the device, and as a result, can also lead to the collection of a variety of data.

[0007] One embodiment of the measuring device has an electrical resistance value acquisition unit that acquires electrical resistance values ​​of one or more parts of the subject's body, and a type determination unit that uses the electrical resistance values ​​to determine a type that represents the subject's physical characteristics from one or more specified perspectives.

[0008] This configuration allows the subject to know the results of the assessment of their physical characteristic type, which cannot be uniformly determined from information such as gender and age alone. This makes it possible to use and combine regression equations depending on the type. Furthermore, the subject can use the measurement device as if it were a game, which can encourage people who are reluctant to measure their body composition to do so.

[0009] In the above measurement device, the type determination section may determine the type using the electrical resistance value, regardless of whether the type matches the actual physical characteristics of the person being measured.

[0010] By determining a type that is unrelated to the actual physical characteristics of the person being measured, it is possible to encourage the person being measured to use the measuring device as if it were a game.

[0011] In the above measurement device, the type determination section may determine the type set in a determination item for determining the person being measured from a predetermined viewpoint, using the electrical resistance value.

[0012] In the above-mentioned measuring device, the determination item may be an index including at least one of sex, race / ethnicity, and evolution.

[0013] In the above-described measuring device, the judgment item may be an index including at least one of a game character, an anime character, and a historical figure.

[0014] In the above-mentioned measuring device, the type determination unit may display the degree to which type the subject's body belongs to, out of the types set in the determination items for determining the subject from a predetermined perspective.

[0015] In this way, by determining and displaying the type to which the person to be measured belongs, the person to be measured is less likely to feel reluctant to take the measurement.

[0016] The measuring device may include a body composition calculation unit that calculates the body composition value of the subject using the electrical resistance value and an algorithm according to the determined type.

[0017] With this configuration, it is possible to accurately calculate the body composition according to the subject's physical characteristics.

[0018] The measuring device may notify the value of the body composition without notifying the determined type.

[0019] In some cases, it may be more important for the subject to know the value of body composition than the type, in which case the body composition value may be notified without notifying the type.

[0020] The above-mentioned measuring device may have a deviation determination unit that compares the body composition value corresponding to the body type selected by the subject with the calculated body composition value and determines the deviation from the body type selected.

[0021] This configuration allows the subject to understand the difference between his or her own body type and the ideal body type.

[0022] In the above-described measuring device, the measuring device may notify the determined deviation without displaying the calculated body composition value.

[0023] In some cases, it is more important for the subject to know how far the subject's body composition differs from their ideal, rather than the actual body composition value itself. In such cases, the body composition value may be notified without being displayed.

[0024] The above-described measuring device can be realized by loading and executing one aspect of a program into a computer, that is, the program causes a computer to function as a type determination unit that acquires an electrical resistance value of a subject's body from a measuring device that measures the electrical resistance value, and determines a type that represents the subject's physical characteristics from one or more predetermined perspectives using the electrical resistance value. [Effects of the Invention]

[0025] By using the measuring device of the present invention, even people who are reluctant to measure their body composition can be encouraged to use the measuring device, which can also lead to the collection of data from people with a variety of conditions. [Brief explanation of the drawings]

[0026] [Figure 1] FIG. 1 is a schematic diagram of a measurement device according to an embodiment of the present invention. [Figure 2] Figure 2 is an example of a screen displaying judgment items according to age characteristics. [Figure 3] FIG. 3 shows an example of a screen displaying judgment items according to gender characteristics. [Figure 4] FIG. 4 shows an example of a screen displaying evaluation items according to evolutionary characteristics. [Figure 5] FIG. 5 is a flowchart showing an example of a processing process in the measurement device of the present invention. [Figure 6] FIG. 6 is a schematic diagram of the measurement device in the second embodiment. [Figure 7] FIG. 7 is a flowchart showing an example of a processing process in the measurement device according to the second embodiment. [Figure 8] FIG. 8 is a schematic diagram of the measurement device in the third embodiment. [Figure 9]FIG. 9 is a flowchart illustrating an example of a processing process of the measurement device according to the third embodiment. [Figure 10] FIG. 10 shows an example of a screen on which the subject selects his or her ideal body shape. [Figure 11] FIG. 11 is an example of a screen showing the deviation between the body composition value of the subject and the body composition value of the ideal body type. DETAILED DESCRIPTION OF THE INVENTION

[0027] An example of a schematic configuration diagram of a measurement device according to an embodiment of the present invention is shown in Figure 1. Measurement device 1 is a device that measures electrical resistance values ​​of the body, such as impedance, reactance, and resistance, by passing a weak current through the subject.

[0028] Measurement device 1 comprises main body 2, right hand grip 3R, and left hand grip 3L. Main body 2 comprises platform 20 on which the subject stands, display 21, weight measurement unit 22, electrical resistance value acquisition unit 23, type determination unit 24, and memory unit 25. It is preferable to measure body composition by having the subject stand barefoot on platform 20 and grasp right hand grip 3R with their right hand and left hand grip 3L with their left hand, but it is also possible to use only platform 20 without using right hand grip 3R or left hand grip 3L, or to use only right hand grip 3R and left hand grip 3L without using platform 20.

[0029] The platform 20 is equipped with a right-foot current-carrying electrode 201R, a right-foot measurement electrode 202R, a left-foot current-carrying electrode 201L, and a left-foot measurement electrode 202L. The right hand grip 3R is equipped with a right-hand current-carrying electrode 31R and a right-hand measurement electrode 32R, and the left hand grip 3L is equipped with a left-hand current-carrying electrode 31L and a left-hand measurement electrode 32L.

[0030] The display unit 21 is a display device that displays the results of arithmetic processing performed by the type determination unit 24 and the like, and may be, for example, a liquid crystal display, an organic EL display, or the like, but is not limited to these.

[0031] The weight measurement unit 22 is equipped with a load cell for measuring the weight of the person being measured. The load cell is composed of a strain element made of a metal member that deforms in response to a load, and a strain gauge attached to the strain element. When the person being measured stands on the platform 20, the load of the person being measured causes the strain element of the load cell to bend, causing the strain gauge to expand and contract. The resistance value (output value) of the strain gauge changes in response to this expansion and contraction.

[0032] The electrical resistance value acquisition unit 23 measures and acquires the electrical resistance value based on the potential difference generated in the current path measured by passing a weak current of a predetermined frequency from each current-carrying electrode to a predetermined part of the subject's body and the current.

[0033] Measurement of electrical resistance values ​​such as impedance (biological impedance) of the subject's whole body and each body part is carried out, for example, as follows. (1) When measuring the bioimpedance of the whole body, current is supplied using the left hand current-carrying electrode 31L and the left foot current-carrying electrode 201L, and the potential difference is measured between the left hand measurement electrode 32L in contact with the left hand and the left foot measurement electrode 202L in contact with the left foot in the current path that flows through the left hand, left arm, chest, abdomen, left leg, and left foot. (2) When measuring the bioimpedance of the right leg, current is supplied using the right hand current-carrying electrode 31R and the right foot current-carrying electrode 201R, and the potential difference between the left foot measurement electrode 202L in contact with the left foot and the right foot measurement electrode 202R in contact with the right foot is measured along the current path that flows through the right hand, right arm, chest, abdomen, right leg, and right foot. (3) When measuring the bioimpedance of the left leg, current is supplied using the left hand current-carrying electrode 31L and the left foot current-carrying electrode 201L, and the potential difference between the left foot measurement electrode 202L in contact with the left foot and the right foot measurement electrode 202R in contact with the right foot is measured along the current path that flows through the left hand, left arm, chest, abdomen, left leg, and left foot. (4) When measuring the bioimpedance of the right arm, current is supplied using the right hand current-carrying electrode 31R and the right foot current-carrying electrode 201R, and the potential difference between the left hand measurement electrode 32L in contact with the left hand and the right hand measurement electrode 32R in contact with the right hand is measured along the current path that flows through the right hand, right arm, chest, abdomen, right leg, and right foot. (5) When measuring the bioimpedance of the left arm, current is supplied using the left hand current-carrying electrode 31L and the left foot current-carrying electrode 201L, and the potential difference between the left hand measurement electrode 32L in contact with the left hand and the right hand measurement electrode 32R in contact with the right hand is measured along the current path that flows through the left hand, left arm, chest, abdomen, left leg, and left foot.

[0034] The electrical resistance value acquiring unit 23 may pass a weak current of one frequency, or may pass currents of multiple frequencies such as low-frequency current and high-frequency current. Furthermore, the electrical resistance value to be measured may be not only impedance, but also reactance and resistance, which may be measured separately as electrical resistance values.

[0035] The type determination unit 24 is realized by a predetermined arithmetic processing unit in the main body unit 2 executing a predetermined computer program. The storage unit 25 is also built into the main body unit 2 and stores the computer program executed by the arithmetic processing unit and data used for calculations in processing the computer program. The storage unit 25 is configured with a storage medium such as an SSD or HDD. The storage unit 25 may be a portable storage medium that is detachable from the main body unit 2. The arithmetic processing unit reads and writes information from the storage unit 25. The display unit 21, the arithmetic processing unit, and the storage device may be integrated into a tablet computer, smartphone, or the like. The computer program may be stored in the storage unit 25 in advance, downloaded by the arithmetic processing unit via a network and stored in the storage unit 25, or stored in the storage unit 25 via a portable storage medium.

[0036] The type determination unit 24 uses the electrical resistance values ​​of one or more parts of the person being measured measured by the electrical resistance value acquisition unit 23 to determine which type the person being measured belongs to in a determination item for determining the person being measured from a certain aspect (type determination).

[0037] Here, a judgment item refers to one or more items for determining a certain aspect of a subject, such as gender, age, race / ethnicity, or evolution. A type refers to a group classified according to electrical resistance in a certain judgment item. For example, the gender judgment item sets types such as male or female to classify subjects by gender; the age judgment item sets types such as young, middle-aged, or elderly to classify subjects by age; the race / ethnicity judgment item sets types such as Asian, Nordic, African American, or Arab to classify subjects by race or ethnicity; and the evolution judgment item sets types such as ape-man, primitive man, archaic man, modern man, or modern man to classify subjects by evolutionary stage.

[0038] In other words, the characteristics of electrical resistance when a weak current is passed through the body differ depending on physical characteristics such as limb length, muscle cross-sectional area, water ratio, and muscle fiber density. Therefore, if groups with different physique characteristics or muscle-fat balance can be classified as types in the assessment items (physical characteristics, more preferably groups based on classification of physique characteristics), it is possible to determine which type of assessment item the subject belongs to using the measured electrical resistance value, even without inputting information such as the subject's actual age, sex, height, and weight.

[0039] Therefore, the type determination unit 24 compares values ​​calculated using pre-created discriminant equations for various physical characteristics based on electrical resistance values ​​such as impedance, reactance, and resistance measured at multiple frequencies for a part or multiple parts of the subject with threshold values ​​for each type in the determination item stored in the memory unit described below, and determines which type in the determination item the subject belongs to.

[0040] As the discriminant for physical characteristics, various discriminant equations for physical characteristics can be used, such as a discriminant equation for the ratio of the length of the slender part to the length of the trunk, a discriminant equation for the balance of the muscle cross-sectional area of ​​the limbs, a discriminant equation for the density of muscle fibers, a discriminant equation for the water content of the fat layer, a discriminant equation for the water distribution in the muscle, etc.

[0041] Examples of the assessment items include, but are not limited to, assessment items according to age, gender, evolution, and race / ethnicity, as described above. The type determination unit 24 uses electrical resistance values ​​measured from one or more parts of the subject to determine a type representing the subject's physical characteristics from multiple types set for each assessment item. As described above, a type may be a group classified according to electrical resistance values ​​for a certain assessment item, such as a group classifying subjects from the perspective of body composition. The determined type of the subject does not necessarily match actual physical characteristics, including biological sex and race, and may not match the actual physical characteristics. For example, a subject may be classified as a female type in the gender assessment item even though he or she is actually male, or as an elderly type in the age assessment item even though he or she is actually in his or her twenties. By deliberately determining objectively clear facts, such as being male, being in one's twenties, or being Asian, users can enjoy the discrepancy between the objective facts and their body composition type, encouraging even those who are reluctant to use the measuring device 1 to use it as a game. While determining whether someone is male or female may seem meaningless because the facts are obvious, determining whether they have a masculine or feminine body type is meaningful for those who are biologically male but are striving for feminine physical characteristics. Furthermore, even within the same race and gender, there are many different body types, such as dark-skinned and fair-skinned Japanese people, and slender and muscular women. While biologically, these types are lumped together based on the appearance of Japanese women, determining a subject's type from body composition (electrical resistance) can provide the subject with new insights into their own bodies. The assessment items and their types can be non-existent, and can be based on the physical characteristics of non-existent characters, such as anime or game characters. It may also be based on the physical characteristics of a person who is no longer alive, such as a historical figure.

[0042] In the type determination by the type determination unit 24, as described above, the type to which the subject belongs may be clearly divided, such as male or female. Alternatively, for example, the gender determination item may be determined using a ratio, such as 30% male and 70% female, or the age determination item may be determined using an age range of 0 to 100 years. In this way, it is also possible to determine the degree to which the subject corresponds to each type, such as the degree to which the subject corresponds to a male, female, young, middle-aged, elderly, Asian female, or European / American male. In other words, the type determination by the type determination unit 24 may not only determine which of the pre-defined types the subject belongs to, but also determine the degree to which the subject corresponds to one of the pre-defined types.

[0043] The type determination unit 24 may display on the display unit 21 which type of the determination item the subject belongs to. Examples of this display are shown in FIGS. 2 to 4. FIG. 2 is an example of a screen displaying determination items according to age, such as young, middle-aged, or elderly. FIG. 3 is an example of a screen displaying determination items according to gender, such as male or female. FIG. 4 is an example of a screen displaying determination items according to evolution, such as ape-men, hominids, archaic humans, modern humans, and modern humans. Note that ape-men, hominids, archaic humans, and modern humans can be modeled from skeletal specimens to calculate electrical resistance values. Note that, in the examples shown in FIGS. 2 to 4, the type of each determination item is determined using one-dimensional parameters, but the parameters for determining the type may be two or more dimensions.

[0044] If the type determination unit 24 has received input of the subject's age, sex, height, etc., it may use these to perform the above calculations. It may also use the weight measured by the weight measurement unit 22 to perform the above calculations.

[0045] The memory unit 25 stores various data necessary for executing the processing in the measurement device 1 of the present invention. For example, it stores a computer program for executing the arithmetic processing in the type determination unit 24, as well as type thresholds for each determination item in the type determination unit 24. For example, if the determination item is age, it stores thresholds for the young type, the middle-aged type, and the elderly type. If the determination item is gender, it stores thresholds for the male type and the female type. Furthermore, if the determination item is evolution, it stores thresholds for the ape-man type, the hominid type, the archaic type, the modern type, and the modern human type.

[0046] The measuring device 1 may have a communication function with other information processing devices such as a server. The measuring device 1 is provided with eight electrodes for both hands and feet, but may also be provided with four electrodes for only both feet, four electrodes for only both hands, or more than eight electrodes. [Example]

[0047] Next, an example of processing when the measurement device 1 of the present invention is used will be described with reference to the flowchart of FIG.

[0048] In the measurement device 1, the display unit 21 displays the judgment items, and accepts the selection of which judgment item to use for the judgment (S100).

[0049] The subject sits barefoot on the platform 20 of the measurement device 1, with their right foot positioned on the right leg current-carrying electrode and the right leg measurement electrode, and their left foot positioned on the left leg current-carrying electrode 201L and the left leg measurement electrode 202L. They also grip the right handgrip 3R with their right hand and the left handgrip 3L with their left hand. The electrical resistance value acquisition unit 23 passes weak currents of one or more frequencies from each current-carrying electrode to a predetermined part of the subject's body and measures the potential difference generated in the current path (S110). The electrical resistance value is then calculated based on the measured potential difference and current. Furthermore, if necessary, the weight is measured by the weight measurement unit 22.

[0050] The type determination unit 24 substitutes the electrical resistance value measured by the electrical resistance value acquisition unit 23, and in some cases the body weight, into each discriminant stored in the storage unit 25, and outputs the calculation results based on each discriminant (S120). Then, by referring to the storage unit 25, it determines which type the subject belongs to for the determination item selected in S100, based on the type threshold for the determination item and the calculation result of S120 (S130).

[0051] For example, if the judgment item selected in S100 is age and the result of the judgment using the discriminant in the type judgment unit 24 is that the person is judged to be an elderly type, the judgment screen is displayed on the display unit 21 as shown in Figure 2 (S140).

[0052] Alternatively, instead of accepting the selection of a specific judgment item in S100, the type to which the subject belongs may be determined for each of a plurality of predetermined judgment items. In this case, the type to which the subject belongs may be determined and displayed for each judgment item, such as age, gender, era, race / ethnicity, etc. Alternatively, instead of accepting the selection of a specific judgment item in S100, the judgment item may be accepted by having the subject select a judgment item after the electrical resistance value is measured by the electrical resistance value acquisition unit 23.

[0053] By performing the above-described process, it is possible to encourage voluntary measurement in a game-like manner even for people who are reluctant to use the measurement device 1. As a result, it is now possible to collect data from reluctant people, which has been difficult to collect in the past. [Example]

[0054] Next, we will explain another embodiment of the measuring device 1 of the present invention. In this embodiment, the body composition value of the subject is calculated by using a regression equation corresponding to the type of determination item determined in Example 1, for example.

[0055] An example of a schematic configuration diagram of the measurement device 1 in this embodiment is shown in Fig. 6. The measurement device 1 in this embodiment further comprises a body composition calculation unit 26 in addition to the measurement device 1 in Fig. 1 .

[0056] Body composition calculation unit 26 calculates the value of the body composition of the subject using a regression equation corresponding to the type of the subject in the determination items determined by type determination unit 24. When type determination unit 24 determines one type, the body composition value is calculated using the regression equation for that type in the determination item. When type determination unit 24 determines types in multiple determination items, the body composition value of the subject is calculated by weighting the extent to which the regression equation for the type in each determination item is used.

[0057] The memory unit 25 stores a regression equation for each type of each judgment item. This regression equation is calculated based on measurements (electrical resistance values) of various people's bodies to obtain body composition, for example, by measuring the electrical resistance values ​​between specified body parts, and the regression equation is stored according to the type of each judgment item. A regression equation may be stored for each type of each judgment item, or regression equations may be stored according to multiple judgment items and multiple types. For example, the regression equation for Asian women (who belong to the "Asian" type in the race / ethnicity assessment item and the "female" type in the gender assessment item), the regression equation for Asian men (who belong to the "Asian" type in the race / ethnicity assessment item and the "male" type in the gender assessment item), the regression equation for Scandinavian women (who belong to the "Scandinavian" type in the race / ethnicity assessment item and the "female" type in the gender assessment item), the regression equation for Scandinavian men (who belong to the "Scandinavian" type in the race / ethnicity assessment item and the "male" type in the gender assessment item), the regression equation for African-American women (who belong to the "African-American" type in the race / ethnicity assessment item), A regression equation may be stored for each combination of types in multiple determination items, such as a regression equation for African American men (who belong to the type "African American" in the race / ethnicity determination item and the type "male" in the gender determination item), a regression equation for Arab women (who belong to the type "Arab" in the race / ethnicity determination item and the type "female" in the gender determination item), and a regression equation for Arab men (who belong to the type "Arab" in the race / ethnicity determination item and the type "male" in the gender determination item).

[0058] The body composition calculation unit may calculate the body composition value of the subject using a predetermined algorithm according to the subject's type determined by type determination unit 24. This algorithm may use a regression equation that calculates the body composition value using the measured electrical resistance value described above, or a machine learning model that uses the measured electrical resistance value as an input value and outputs the body composition value as an output value.

[0059] Next, an example of processing when using the measurement device 1 in this embodiment will be described with reference to the flowchart in Fig. 7. Note that the processing from S200 to S230 is the same as the processing from S100 to S130 in Example 1, and therefore a description thereof will be omitted.

[0060] In S230, when type determination unit 24 determines the type of the subject for each determination item, it identifies a regression equation for each type in the determination item stored in storage unit 25. Then, the identified regression equation is used to calculate the subject's body composition value (S250).

[0061] For example, if a determination is made only for the gender determination item, body composition calculation unit 26 calculates the body composition value of the subject using a regression equation for the type to which the subject belongs in the gender determination item.

[0062] Furthermore, when multiple determination items are being determined, for example, a determination item for gender and a determination item for race / ethnicity, if the type determination unit 24 determines the type of the subject as 80% Asian female, 15% Asian male, and 5% Arab female, the body composition value may be calculated by using these ratios as weights in the regression equation. That is, the body composition value of the subject is calculated by performing a predetermined calculation, such as adding up values ​​weighted as 80% by the regression equation for Asian female, 15% by the regression equation for Asian male, and 5% by the regression equation for Arab female.

[0063] Then, body composition calculation section 26 causes display section 21 to display the determined body composition value of the subject (S250).

[0064] By performing the above-described processing, it is possible to calculate and display the value of the body composition of the subject using a regression equation corresponding to the type of the determination item determined in Example 1. That is, even if input of age, sex, height, weight, etc. is not accepted, type determination unit 24 classifies the subject into a type of the determination item using each electrical resistance value measured at multiple frequencies for one or multiple parts of the subject, so that body composition calculation unit 26 can perform arithmetic processing using a regression equation corresponding to the type of the determination item to calculate the value of the body composition of the subject.

[0065] In this embodiment, a regression equation corresponding to the type of the determination item determined in Example 1 is used, but this is not limited to this. For example, even without indicating a specifically named type, physical characteristics may be determined and a regression equation corresponding to the determined type may be used to calculate the body composition value of the subject. Also, the type does not necessarily have to be determined in the determination item. Furthermore, without notifying the determined type, the body composition value of the subject may be notified to the display unit 21 and displayed on the display unit 21. [Example]

[0066] Next, another embodiment of the measuring device 1 of the present invention will be described. In this embodiment, the body composition value of the subject calculated in Example 2 is used to determine the deviation (distance) from the subject's ideal body type.

[0067] An example of a schematic configuration diagram of the measurement device 1 in this embodiment is shown in Fig. 8. The measurement device 1 in this embodiment further includes a deviation determination unit 27 in addition to the measurement device 1 in Fig. 6 .

[0068] The deviation determining unit 27 uses the body composition value determined by the measuring device 1 to determine the deviation from the body composition value of the body type selected as the ideal by the subject.

[0069] The storage unit 25 further stores body composition values ​​for a plurality of ideal body types as models, and may also store average ranges of body composition values ​​based on predetermined standards, such as those for sex, age, race / ethnicity, and occupation, or those for celebrities, historical figures, and characters.

[0070] Next, an example of processing when using the measurement device 1 in this embodiment will be described with reference to the flowchart in Fig. 9. Note that the processing from S300 to S340 is the same as the processing from S200 to S240 in Example 2, and therefore the description will be omitted.

[0071] The subject selects his / her ideal body type at any stage of the process up to S350, and this selection is accepted by deviation determination unit 27. For example, the selection of the ideal body type is accepted from a body type selection screen shown in Fig. 10. In Fig. 10, the ideal body type selected by the subject is indicated by the area enclosed by a dashed line.

[0072] After calculating the subject's body composition in body composition calculation unit 26, the body composition values ​​of the subject's ideal body type, such as body fat and muscle mass, are extracted from memory unit 25 and compared with the body composition values ​​calculated in S340, such as body fat and muscle mass, to calculate the discrepancy. The discrepancy can be calculated, for example, by calculating the difference. Deviation determination unit 27 then displays the discrepancy calculated as above on display unit 21 (S360), as shown in FIG. 11. FIG. 11 is a schematic diagram showing a graph of the discrepancy between the subject's body fat percentage and the subject's ideal body type. While FIG. 11 also shows the average range of body composition values ​​by gender, it is also possible to display the average range of body composition values ​​by age, race / ethnicity, occupation, and other assessment items and types, as well as the body composition values ​​of celebrities.

[0073] This allows the subject to know the deviation of his or her body composition value from the ideal body type.

[0074] Also, while Figure 11 shows the subject's body fat percentage, it is also possible to simply display the deviation. For example, in the case of Figure 11, if the subject's body fat percentage is 21% and the subject's selected ideal body type has a body fat percentage of 27%, it is also possible to display only the deviation (distance) from the ideal body type, such as "You are 6% short of your ideal body type." This makes it possible to avoid displaying the subject's own body composition values, such as body fat percentage, and makes it easier for the subject to use.

[0075] Alternatively, the calculated body composition value may not be displayed, but information on the deviation determined by deviation determining section 27 may be notified and displayed on display section 21. [Example]

[0076] As another example of each of the above-described embodiments, the functions of type determination unit 24, body composition calculation unit 26, deviation determination unit 27, memory unit 25, etc. may not be provided in measurement device 1, but may be realized as an application program in a device different from measurement device 1, for example, a computer including a portable communication terminal such as a smartphone or tablet computer, by acquiring measurements taken by measurement device 1. In this case, measurement device 1 is provided with electrical resistance value acquisition unit 23, and the electrical resistance value measured by electrical resistance value acquisition unit 23 is acquired by the above-described computer, and the type determination unit 24, body composition calculation unit 26, deviation determination unit 27, etc., which are realized by an application program on the computer, perform processing similar to that described above.

[0077] As another example of each of the above-described embodiments, a fortune-telling-like process may be implemented in combination with the subject's date of birth, blood type, etc. In this case, for example, by combining the subject's type or body composition value in a certain evaluation item with the subject's date of birth, blood type, etc. and performing a predetermined calculation, a specific result may be output, similar to fortune-telling.

[0078] Furthermore, as another example of each of the above-described embodiments, the motor skills of the person being measured may be acquired, and the acquired results may be further combined and processed by the type determination unit 24 or the like. [Industrial Applicability]

[0079] By using the measuring device 1 of the present invention, even people who are reluctant to measure their body composition can be encouraged to use the measuring device 1. This can also lead to the collection of data from people with a variety of conditions. [Explanation of symbols]

[0080] 1: Measuring equipment 2: Main body 3R: Right hand grip 3L: Left hand grip 20: Mounting stand 21: Display section 22:Weight measurement section 23: Electrical resistance value acquisition unit 24: Type determination section 25: Storage section 26:Body Composition Calculation Department 27: Deviation judgment unit 31R: Right hand energizing electrode 31L: Left hand energizing electrode 32R: Right hand measurement electrode 32L: Left hand energizing electrode 201R: Right foot energizing electrode 201L: Left foot electrode 202R: Right foot measurement electrode 202L: Left foot measurement electrode

Claims

1. an electrical resistance value acquiring unit that acquires an electrical resistance value of one or more parts of the body of the subject; a type determination unit that determines a type representing a physical characteristic of the subject from one or more predetermined viewpoints using the electrical resistance value; A measuring device comprising:

2. The type determination unit The type is determined using the electrical resistance value, regardless of whether it matches the actual physical characteristics of the person being measured.

2. The measuring device according to claim 1.

3. The type determination unit determining the type set in a determination item for determining the subject from a predetermined viewpoint using the electrical resistance value; 3. The measuring device according to claim 1 or 2.

4. The judgment items are: The indicators include at least one of gender, race / ethnicity, and evolution.

4. The measuring device according to claim 3.

5. The judgment items are: An index that includes at least one of game characters, anime characters, and historical figures.

4. The measuring device according to claim 3.

6. The type determination unit and displaying the degree to which type the body of the subject belongs to among the types set in the judgment items for judging the subject from a predetermined viewpoint.

6. The measuring device according to claim 1, wherein the measuring device is a measuring device for measuring a temperature of the object.

7. The measuring device is a body composition calculation unit that calculates a body composition value of the subject using the electrical resistance value and an algorithm corresponding to the determined type; 7. The measuring device according to claim 1, further comprising:

8. The measuring device is notifying the determined type but notifying the value of the body composition; 8. The measuring device according to claim 7.

9. The measuring device is a deviation determination unit that compares a body composition value corresponding to a body type selected by the subject with the calculated body composition value and determines a deviation from the selected body type; 9. The measuring device according to claim 1, further comprising:

10. The measuring device is notifying the determined deviation without displaying the calculated body composition value; 10. The measuring device according to claim 9.

11. Computer, a type determination unit that acquires an electrical resistance value from a measuring device that measures an electrical resistance value of the subject's body, and determines a type that represents a physical characteristic of the subject from one or more predetermined viewpoints using the electrical resistance value; A program characterized by functioning as

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