JP2012065724A - Fat thickness measuring apparatus and fat thickness calculation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a fat thickness measuring apparatus, method and program that improve accuracy of an optical fat thickness measurement.SOLUTION: The fat thickness measuring apparatus includes: a light emission unit that emits light entered into a living body; a sensor unit with a light receiving part that receives light appearing on a surface of the living body and detects a light receiving amount; an input unit that inputs characteristic information indicative of characteristics of the living body; and a processing unit wherein the processing unit includes a control unit emitting light at a prescribed amount of light emission and a calculating unit obtaining a correction value associated with the characteristic information inputted from the input unit and calculating a fat thickness using the obtained correction value and the light receiving amount.

Description

  The present invention relates to a fat thickness measuring apparatus and a fat thickness measuring program for obtaining fat thickness using light.

  Conventionally, as a device for measuring fat thickness, light is incident on a living body from a light source disposed on the surface of the living body, and the incident light receives light that appears on the living body surface again through the living body. An apparatus for measuring the thickness has been proposed. For example, as a fat thickness measurement device, a light emitting unit that illuminates the living body, a light receiving unit that receives light emitted from the living body surface through the light emitting unit, a forming unit that shapes the living body surface into a predetermined shape, and receives light There is known an apparatus including a calculation unit that calculates subcutaneous fat thickness based on the amount of received light. Further, the thickness of the fat layer is calculated based on one or more sensors having different distances between light transmission and reception, an absorbance change measuring means for measuring the absorbance change in the living tissue by the sensor, and the ratio of the obtained absorbance change. 2. Description of the Related Art A living body fat layer thickness measuring apparatus including a fat layer thickness calculating unit is known.

JP 2003-210465 A JP 11-239573 A

  The present invention has been made in view of the above circumstances, and an object thereof is to provide a fat thickness measurement apparatus and a fat thickness measurement program that improve the measurement accuracy of optical fat thickness measurement.

  A fat thickness measurement apparatus which is one embodiment includes a sensor unit, an input unit, and a processing unit. The sensor unit includes a light emitting unit that emits light incident on the living body, and a light receiving unit that receives the light that appears on the surface of the living body and detects the amount of light received. The input unit inputs feature information indicating the features of the living body. The processing unit uses the control unit that causes the light emitting unit to emit light with a predetermined light emission amount, the correction value associated with the feature information input from the input unit, and the light reception amount, and the fat thickness of the living body. And a calculation unit for obtaining.

  Moreover, the fat thickness measuring apparatus which is one of the other embodiments includes a first sensor unit, a second sensor unit, and a processing unit. The first sensor unit includes a light emitting unit that emits light incident on the living body, and a light receiving unit that receives the light that appears on the surface of the living body and detects the amount of light received. The second sensor unit includes an oscillating unit that outputs a current to a living body and a receiving unit that receives a current appearing on the surface of the living body and detects a current amount. The processing unit includes a control unit and a calculation unit. The control unit performs control for causing the light emitting unit to emit light with a predetermined light emission amount and control for causing the oscillation unit to oscillate with a current amount of a predetermined frequency. A calculation part calculates | requires the fat thickness of the said biological body using the correction value linked | related with the electric current amount measured by the said 2nd sensor part, and the said received light quantity.

  According to the embodiment, there is an effect that the measurement accuracy of optical fat thickness measurement is improved.

It is a block diagram which shows one Example of the fat thickness measuring apparatus of Embodiment 1. FIG. FIG. 3 is a cross-sectional view illustrating an example of the sensor unit according to the first embodiment. 6 is a diagram illustrating an example of functions of a processing unit according to the first embodiment. FIG. FIG. 6 is a flowchart illustrating an example of an operation of a processing unit according to the first embodiment. It is a figure which shows an example of the relationship of the moisture retention rate of the biological body of each age. It is a figure which shows the data structure of one Example of an age-correction value table. It is a figure which shows an example of the relationship between received light quantity and fat thickness. It is a block diagram which shows one Example of the fat thickness measuring apparatus of Embodiment 2. It is a figure which shows an example of the function of the process part of Embodiment 2. FIG. FIG. 10 is a flowchart illustrating an example of an operation of a processing unit according to the second embodiment. It is a figure which shows one Example of the data structure of a humidity-correction value table, a temperature-correction value table, a date-correction value table, and a region-correction value table. It is a figure which shows one Example of the display of guidance. It is a block diagram which shows one Example of the fat thickness measuring apparatus of Embodiment 3. It is sectional drawing which shows one Example of the sensor part of Embodiment 3. It is a figure which shows an example of the function of the process part of Embodiment 3. FIG. 10 is a flowchart illustrating an example of an operation of a processing unit according to the third embodiment. It is a figure which shows one Example of the data structure of an electric current value-correction value table. FIG. 16 is a diagram illustrating an example of a hardware configuration of a computer according to a fourth embodiment.

The first embodiment will be described below with reference to the drawings.
In the first embodiment, the amount of received light that appears on the surface of a living body when light is incident on the living body is measured again, a correction value derived from the relationship between the characteristics (age) of the living body and the amount of water is obtained, and the received light amount is calculated based on the correction value. Correction is performed, fat thickness is obtained using the corrected received light amount, and fat thickness measurement accuracy is improved.

  FIG. 1 is a diagram illustrating an example of hardware of the fat thickness measurement apparatus according to the first embodiment. The fat thickness measuring apparatus 1 in FIG. 1 includes a sensor unit 2, a processing unit 3, a recording unit 4, a drive unit 7, an acquisition unit 8, an input unit 9, and an output unit 10. The sensor unit 2 includes a light emitting unit 5 that emits light in the infrared region and a light receiving unit 6 that detects the amount of light received in the infrared region. The wavelength of light is, for example, in the infrared region, and it is preferable to use 820 nm to 865 nm. However, the wavelength of light is not limited to the above wavelength as long as it is not easily affected by moisture contained in the living body. For example, considering the spectral characteristics of water, it is conceivable to use light having a wavelength of 950 nm or less in order to avoid the water absorption range. The sensor unit 2 includes a light emitting unit 5 that emits light incident on the living body one or more times, and a light receiving unit 6 that receives the emitted light that appears on the surface of the living body and detects the amount of light received. Moreover, you may provide the cover filter which protects so that the light emission part 5 and the light-receiving part 6 may not contact a biological body directly. The sensor unit 2, the light emitting unit 5, the light receiving unit 6, and the cover filter will be described later. The living body is a human being, an animal, or the like.

  The processing unit 3 includes a control unit 31 and a calculation unit 32. The processing unit 3 may use a central processing unit (CPU) or a programmable device (such as a field programmable gate array (FPGA) or a programmable logic device (PLD)). The control unit 31 and the calculation unit 32 will be described later.

  The recording unit 4 records programs, tables, data, and the like. The recording unit 4 is a memory such as a read only memory (ROM) or a random access memory (RAM), a hard disk, or the like. The recording unit 4 may record data such as parameter values and variable values, and can also be used as a work area.

  The drive unit 7 is a drive circuit for causing the light emitting unit 5 to emit light. For example, the control unit 31 receives a pulse that adjusts the light emission amount and period of the light emitting unit 5, and outputs a current corresponding to the pulse to the light emitting unit 5. Note that a method such as Pulse Width Modulation (PWM) is conceivable for controlling the current value by the pulse.

  The acquisition unit 8 receives an analog signal corresponding to the amount of light received by the light receiving unit 6, converts the received analog signal into a digital signal, and outputs the digital signal to the processing unit 3. For example, it may be possible to amplify the voltage value of an analog signal and then convert it to a digital signal. The acquisition unit 8 includes, for example, an analog-digital converter. The acquisition unit 8 records received light data (amount of received light), which is a received digital signal, in the recording unit 4.

  The input unit 9 inputs the start of fat thickness measurement and various settings of the fat thickness measuring apparatus 1. For example, if the output unit 10 is a display, a touch panel provided on the display as the input unit 9 may be considered. A keyboard, a switch, etc. can be considered. The display may be a liquid crystal display, for example.

The output unit 10 is an output device such as a display or a printer. The output unit 10 displays, for example, the fat thickness that is the calculation result of the processing unit 3.
The sensor unit 2 will be described.

  FIG. 2 is a cross-sectional view showing an embodiment of the sensor unit. In the example of FIG. 2, a skin part 21 showing an epidermis and dermis inside a living body, a fat layer 22 and a muscle layer 23 are shown. And the sensor part 2 of the fat thickness measuring apparatus 1 is closely_contact | adhered and arrange | positioned on the skin part 21. FIG. The sensor unit 2 includes a hole 24 that houses the light emitting unit 5 that emits light in the infrared region, and a hole 25 that houses the light receiving unit 6 that detects the amount of light received in the infrared region. The light emitting unit 5 is, for example, a light emitting diode (LED) or a semiconductor laser in the near infrared region, and it is desirable to use a chip LED. The light receiving unit 6 receives light that propagates while being scattered and absorbed inside the living body and appears again on the surface of the living body. For example, it is desirable to use a photodiode.

  The hole 24 has a size that can accommodate the light emitting unit 5, and the shape may be, for example, a cylindrical shape or a cubic shape. The hole 25 has a size that can accommodate the light receiving unit 6, and the shape may be, for example, a cylindrical shape or a cubic shape. In the present embodiment, the light emitting unit 5 and the light receiving unit 6 are arranged so as to be embedded in the surface of the casing of the fat thickness measuring apparatus 1. Further, cover filters 26 and 27 for protecting the light emitting unit 5 and the light receiving unit 6 are provided so that the light emitting unit 5 and the light receiving unit 6 do not directly contact the living body. The cover filters 26 and 27 are desirably arranged so that the surfaces thereof are the same height as the housing surface. The reason why the surface of the casing of the fat thickness measuring device 1 and the surface of the cover filters 26 and 27 are desirably the same is to prevent the fat thickness from being deformed by pressing the living body with the sensor unit 2. is there. Further, the living body surface and the surfaces of the cover filters 26 and 27 are brought into close contact with each other, and an air layer is prevented from being formed between the living body surface and the surfaces of the cover filters 26 and 27, and is generated between the living body surface and the surfaces of the cover filters 26 and 27. This is to reduce reflection. Note that the cover filters 26 and 27 may be made of, for example, plastic or glass having a thin flat plate shape and low reflection. Further, the colors of the cover filters 26 and 27 may be transparent or colored.

  In this example, the structure of the sensor unit 2 is shown in FIG. 2 in order to suppress the influence of the surrounding environment such as extraneous light. However, the structure of the sensor unit 2 is not limited to FIG. Any structure that can be measured is acceptable. For example, the light emitting unit 5 and the light receiving unit 6 may protrude from the housing surface.

  The interval between the light emitting unit 5 and the light receiving unit 6 is determined by the size of the light emitting unit 5, the amount of light emission, the size of the light receiving unit 6, the amount of light received, and the like. In the case of downsizing the sensor unit 2, it is preferably 10 mm to 15 mm. However, the interval between the light emitting unit 5 and the light receiving unit 6 is not limited to 10 mm to 15 mm.

  In addition, the attachment angle of the light emission part 5 should just be an angle which can inject light from the light emission part 5 to a biological body. It is desirable that the light receiving unit 6 be disposed at an angle at which the light appearing on the living body surface can be received efficiently and the influence of reflection can be avoided as much as possible.

The processing unit 3 will be described.
FIG. 3 is a functional block diagram showing an embodiment of the processing unit 3. The processing unit 3 includes a control unit 31 and a calculation unit 32.

  The control unit 31 causes the light emitting unit 5 to emit light with a predetermined light emission amount. In the example of FIG. 3, a light emission control signal for controlling the light emitting unit 5 is output from the control unit 31. In the example of FIG. 3, the control unit 31 acquires input data from the input unit 9. The input data includes, for example, data such as feature information, and may be age information input by the user. Further, in the example of FIG. 3, the control unit 31 outputs a fat thickness calculation instruction for obtaining the fat thickness and feature information and the like to obtain a correction value from the recording unit 4. However, the calculation unit 32 may directly acquire the feature information without using the control unit 31.

  The feature information is information indicating the characteristics of the living body, and for example, age information indicating age can be considered. Further, in order to obtain the correction value, the feature information is recorded in advance in the recording unit 4 in association with the correction value. In the case where each correction value is associated with each age, for example, a correction value obtained from the amount of water contained in the living body corresponding to each age of 0 to 100 years is recorded in association with each other. It is conceivable to record an age-correction value table to be described later.

The calculation unit 32 obtains a correction value corresponding to feature information (described later) input from the input unit 9, and obtains a fat thickness using the obtained correction value and the amount of received light. The fat thickness Y can be expressed by Equation 1.
Y = PD × exp ((− L × C) × α) × a + b (Formula 1)
Y: fat thickness L: optical path length α: correction value PD: received light quantity C: scattering coefficient + absorption coefficient a: slope b: intercept

  The correction value α is a value used to determine the fat thickness while suppressing the influence of the moisture amount when the amount of received light changes depending on the moisture amount contained in the living body. If the living body has a lot of water, the light output from the light emitting unit 5 will be emitted from the place close to the light emitting unit 5 to the surface of the living body. Therefore, the light receiving unit 6 reduces the amount of light received from the surface of the living body. . This is considered to be due to the effect that the light output from the light emitting unit 5 is scattered by the moisture contained in the skin portion 21 shown in FIG. 2 before reaching the light receiving unit 6. Therefore, the correction value α used to suppress the influence of the amount of received light due to moisture is used. The slope a is a value derived from the slope of a linear straight line obtained statistically using actual measurement values obtained by measuring each of a plurality of fat thicknesses a plurality of times. The intercept b is a value indicating the intercept of the linear straight line obtained statistically using the actual measurement values obtained by measuring each of the plurality of fat thicknesses a plurality of times. Further, the optical path length L is a distance between the light emitting unit 5 and the light receiving unit 6 in this example. However, since it may be a value expressed using the optical path length of the light scattered in the living body, the optical path length may be longer than the distance between the light emitting unit 5 and the light receiving unit 6. The received light amount PD is received light data (received light amount) acquired from the acquisition unit 8 and indicates a voltage value. The optical path length L, scattering coefficient + absorption coefficient C, slope a, and intercept b are recorded in the recording unit 4. The exp () indicates e to the power (^), for example, exp (a) = e ^ a.

  Another method for obtaining the received light amount PD will be described. In order to improve the measurement accuracy of fat thickness, for example, the light emitting unit 5 may emit light at a plurality of light emission amounts and at the same light emission amount twice or more within a predetermined period in a predetermined period. Good. The control unit 31 outputs a light emission control signal that causes the light emitting unit 5 to emit light with a plurality of light emission amounts and the same light emission amount twice or more within a period. In that case, a determination unit is further provided in the calculation unit 32 to determine whether the amount of received light received by the light receiving unit 6 is valid. The determination unit sets one or more light emission amounts to be determined in advance, acquires two or more light reception amounts corresponding to each of the determination target light emission amounts, and acquires each of the two or more acquired light reception amounts. Find the difference. For example, when two received light amounts are acquired, the difference between the received light amount A and the received light amount B is obtained. When three received light amounts are acquired, the difference between the received light amount A and the received light amount B, the difference between the received light amount A and the received light amount C, and the difference between the received light amount B and the received light amount C are obtained. Next, the determination unit determines that the plurality of received light amounts corresponding to the plurality of lights emitted within the period are valid when the differences obtained for each of the determination target emission amounts are all within the threshold value. When it is determined that the received light amount is effective, the fat thickness is obtained using a plurality of received light amounts corresponding to the plurality of light determined to be effective emitted during the period.

  In the example of FIG. 3, the calculation unit 32 acquires the amount of received light (data) from the acquisition unit 8. Further, the calculation unit 32 refers to the age-correction value table of the recording unit 4 using the feature information, and acquires a correction value corresponding to the age included in the feature information. Thereafter, the calculation unit 32 obtains the fat thickness using the received light amount and the correction value, and outputs the fat thickness to the output unit 10.

The operation of the processing unit 3 will be described.
FIG. 4 is a flowchart showing an embodiment of the operation of the processing unit 3. In step S <b> 1, the control unit 31 of the processing unit 3 acquires input data from the input unit 9. The input data includes feature information. For example, data indicating the age of the user input by the user is acquired from the input unit 9. Information indicating that the fat thickness measurement is started is also acquired from the input unit 9.

  In step S <b> 2, when the calculation unit 32 receives the fat thickness calculation instruction from the control unit 31, the received light data is acquired from the acquisition unit 8 in order to obtain the fat thickness. In step S <b> 3, the calculation unit 32 acquires feature information from the control unit 31, refers to the age-correction value table of the recording unit 4, and acquires a correction value corresponding to the age included in the feature information. The age-correction value table is a table created by calculating correction values for each age using the relationship between the age and the water retention rate of the skin tissue shown in FIG.

FIG. 5 is a graph showing experimentally obtained data with the water retention rate [%] on the vertical axis and the age [years] on the horizontal axis.
FIG. 6 is a diagram illustrating an example of the data structure of the age-correction value table. The age-correction value table 61 shown in FIG. 6 has “age” and “correction value”. Age is recorded in “age”. In this example, age is recorded in order from 0 years old, and “0”, “1”, “2”. In “correction value”, a correction value is recorded in association with each age recorded in “age”. The correction value is a value used to suppress the influence of the amount of received light due to moisture.

  If the living body has a lot of moisture, the light output from the light emitting unit 5 comes out from the place close to the light emitting unit 5 to the living body surface, so that the amount of light received from the living body surface that can be received by the light receiving unit 6 is reduced. . In humans, the younger the age, the greater the water retention rate as shown in FIG. 5, and thus the amount of received light tends to decrease. For this reason, in the measurement of fat thickness using light, the fat thickness is smaller as it is younger, and the fat thickness increases as it is older. Therefore, in order to suppress the influence of moisture, the measurement is actually performed a plurality of times for a plurality of living bodies having the same fat thickness and different moisture amounts. Although the amount of received light varies depending on the amount of moisture in the living body, it is known that the fat thickness is the same in advance, so a correction value that makes the fat thickness the same or close is obtained for each moisture amount. Then, an age-correction value table is created by associating the average of the calculated correction values for each water content with the water content for each age. It is conceivable that the water content of each age is determined by age, the water retention rate of the skin tissue, and actual measurement. In this example, “hosei_0”, “hosei_1”, “hosei_2”... Indicating the correction values are recorded. The correction value according to age is smaller as it is younger and larger as it is older.

  In step S4, the calculation unit 32 acquires the received light data and the correction value, and obtains the fat thickness using the above equation 1. The calculating unit 32 outputs the obtained fat thickness data to the output unit 10. The output unit 10 that has received the fat thickness data presents the fat thickness to the user using an image or sound.

  According to the first embodiment, there is an effect that the measurement accuracy of optical fat thickness measurement is improved. FIG. 7 is a diagram showing that the variation in fat thickness is reduced by the correction. In FIG. 7, the output value [V] of the light receiving unit 6 is recorded on the vertical axis, and the fat thickness [mm] is recorded on the horizontal axis. A curve 71 in FIG. 7 is an asymptotic line of the measurement value represented by a rhombus without correction. A straight line 72 in FIG. 7 is an asymptotic line of measurement values represented by a square when correction is performed. In the example of FIG. 7, it can be seen that the variation in fat thickness is reduced by correcting the amount of received light with the amount of moisture. In other words, since the output value indicating the amount of received light represented by a rectangle is in a range close to the straight line 72, it can be seen that variation in fat thickness with respect to the amount of received light can be suppressed.

  The calculation method of the correction value stored in the age-correction value table of FIG. 6 is not limited to the above, and the correction value obtained from the amount of melanin contained in the living body corresponding to each age other than the amount of water, It may be recorded in association. It is conceivable that the light output from the light emitting unit 5 is absorbed by the melanin contained in the skin part 21 shown in FIG. And if there is much melanin in the living body, the light output from the light emitting unit 5 is absorbed without being reflected, so that the amount of light received from the surface of the living body that can be received by the light receiving unit 6 is reduced. It is done.

  Therefore, the measurement is actually performed a plurality of times for a plurality of living bodies having the same fat thickness and different melanin amounts. Although the amount of received light varies depending on the amount of melanin in the living body, since it is known that the fat thickness is the same in advance, a correction value that makes the fat thickness the same or close is obtained for each melanin amount. Then, an age-correction value table is created by associating the average of the calculated correction values for each melanin amount with the average melanin amount for each age. It is conceivable that the amount of melanin at each age can be determined by age and actual measurement. In general, since there are many opportunities to tan in sunlight during daily life, the correction value according to age increases as the age increases and decreases as the age increases.

A second embodiment will be described.
Embodiment 2 measures the amount of received light that appears on the surface of a living body after light is incident on the living body, and then a correction value derived from the change in moisture contained in the living body due to the characteristics of the living body or the surrounding environment of the living body And the received light amount is corrected by the correction value, and the fat thickness is obtained using the corrected received light amount.

  FIG. 8 is a diagram illustrating an example of hardware of the fat thickness measurement apparatus according to the second embodiment. The fat thickness measuring device 81 of FIG. 8 includes a sensor unit 2, a data acquisition unit 82, a processing unit 83, a recording unit 84, a drive unit 7, an acquisition unit 8, an input unit 9, and an output unit 10. The input unit 9, output unit 10, drive unit 7, acquisition unit 8, data acquisition unit 82, and recording unit 84 are connected to the processing unit 83. Since the sensor unit 2, the drive unit 7, the acquisition unit 8, the input unit 9, and the output unit 10 have been described in the first embodiment, a description thereof will be omitted.

  The data acquisition unit 82 acquires measurement data from one or more types of measuring instruments provided in the fat thickness measuring device 81. The measuring device is, for example, a thermometer, a hygrometer, a clock, an instrument that acquires position information, or the like.

  The processing unit 83 includes a control unit 91 and a calculation unit 92. The processing unit 83 may use a CPU, a programmable device (FPGA, PLD), or the like. The control unit 91 and the calculation unit 92 will be described later.

  The recording unit 84 records programs, tables, data, and the like. The recording unit 84 is, for example, a memory such as a ROM or a RAM, a hard disk, or the like. The recording unit 84 may record data such as parameter values and variable values, and can also be used as a work area.

The processing unit 83 will be described.
FIG. 9 is a functional block diagram illustrating an example of the processing unit 83. The processing unit 83 includes a control unit 91 and a calculation unit 92.

  The control unit 91 causes the light emitting unit 5 to emit light with a predetermined light emission amount. In the example of FIG. 9, a light emission control signal for controlling the light emitting unit 5 is output from the control unit 91. In the example of FIG. 9, the control unit 91 acquires input data from the input unit 9. The input data is, for example, data such as feature information, and may be age information input by the user. In addition, the control unit 91 receives acquisition data from the data acquisition unit 82. In the second embodiment, measurement data and feature information may be acquired, or only measurement data may be acquired and feature information may not be acquired. Further, in the example of FIG. 9, the control unit 91 outputs the fat thickness calculation instruction for obtaining the fat thickness, the characteristic information, the measurement data, and the like to obtain the correction value from the recording unit 84. However, the calculation unit 32 may directly acquire feature information and measurement data without using the control unit 91.

  The feature information is information indicating the characteristics of the living body, and for example, age information indicating age can be considered. In addition, in order to obtain a correction value, the feature information is recorded in the recording unit 84 in association with the correction value in advance. In the case where each correction value is associated with each age, for example, a correction value obtained from the amount of water contained in the living body corresponding to each age of 0 to 100 years is recorded in association with each other. It is conceivable to record an age-correction value table to be described later.

The calculation unit 92 obtains a correction value corresponding to feature information (described later) input from the input unit 9, and obtains a fat thickness using the obtained correction value and the amount of received light. The fat thickness Y can be expressed by Equation 2.
Y = PD × exp ((− L × C) × β) × a + b (Formula 2)
Y: fat thickness L: optical path length β: correction value PD: received light amount C: scattering coefficient + absorption coefficient a: slope b: intercept

The correction value β is a value used for obtaining the fat thickness while suppressing the influence of the moisture amount when the amount of received light changes depending on the moisture amount contained in the living body. If the living body has a lot of water, the light output from the light emitting unit 5 will be emitted from the place close to the light emitting unit 5 to the surface of the living body. Therefore, the light receiving unit 6 reduces the amount of light received from the surface of the living body. Therefore, this value is used to suppress the influence of the amount of light received due to moisture. The correction value β is a correction value associated with measurement data acquired by the data acquisition unit 82, such as humidity, temperature, date / time, and position information. If the age correction value is α1, the humidity correction value is β1, the temperature correction value is β2, the date and time correction value is β3, and the position information correction value is β4, β can be expressed by Equation 3.
For age only: β = α1
For humidity only: β = β1
For temperature only: β = β2 (Formula 3)
For date and time only: β = β3
For position information only: β = β4
When determining by age, humidity, temperature, date and time, location information:
β = α1 × β1 × β2 × β3 × β4

  Further, the correction value β may be obtained by combining the correction values α1, β1, β2, β3, and β4. Further, in the above description, the correction value is obtained by integration, but the correction value β may be obtained by performing an operation for correction other than integration. The slope a is a value derived from the slope of a linear straight line obtained statistically using actual measurement values obtained by measuring each of a plurality of fat thicknesses a plurality of times. The intercept b is a value indicating the intercept of the linear straight line obtained statistically using the actual measurement values obtained by measuring each of the plurality of fat thicknesses a plurality of times. Further, the optical path length L is a distance between the light emitting unit 5 and the light receiving unit 6 in this example. However, since it may be a value expressed using the optical path length of the light scattered in the living body, the optical path length may be longer than the distance between the light emitting unit 5 and the light receiving unit 6. The received light amount PD is received light data (received light amount) acquired from the acquisition unit 8 and indicates a voltage value. The optical path length L, scattering coefficient + absorption coefficient C, slope a, and intercept b are recorded in the recording unit 84. The exp () indicates e to the power (^), for example, exp (a) = e ^ a.

  Another method for obtaining the received light amount PD will be described. As described in the first embodiment, in order to improve the measurement accuracy of fat thickness, for example, in a predetermined period in a predetermined period, a plurality of light emission amounts and the same light emission amount at least twice within the period The light emitting unit 5 may emit light. The control unit 91 outputs a light emission control signal that causes the light emitting unit 5 to emit light with a plurality of light emission amounts and the same light emission amount twice or more within a period. In that case, a determination unit is further provided in the calculation unit 92 to determine whether or not the amount of light received by the light receiving unit 6 is valid. The determination unit sets one or more light emission amounts to be determined in advance, acquires two or more light reception amounts corresponding to each of the determination target light emission amounts, and acquires each of the two or more acquired light reception amounts. Find the difference. For example, when two received light amounts are acquired, the difference between the received light amount A and the received light amount B is obtained. When three received light amounts are acquired, the difference between the received light amount A and the received light amount B, the difference between the received light amount A and the received light amount C, and the difference between the received light amount B and the received light amount C are obtained. Next, the determination unit determines that the plurality of received light amounts corresponding to the plurality of lights emitted within the period are valid when the differences obtained for each of the determination target emission amounts are all within the threshold value. When it is determined that the received light amount is effective, the fat thickness is obtained using a plurality of received light amounts corresponding to the plurality of light determined to be effective emitted during the period.

  In the example of FIG. 9, the calculation unit 92 acquires the amount of received light (data) from the acquisition unit 8. Also, the calculation unit 92 refers to the age-correction value table of the recording unit 84 using the feature information, and acquires a correction value corresponding to the age included in the feature information. The calculation unit 94 refers to the humidity-correction value table, the temperature-correction value table, the date-correction value table, and the region-correction value table of the recording unit 84 using each measurement data, and performs correction corresponding to each measurement data. Get the value. Thereafter, the calculation unit 94 obtains the fat thickness using each of the received light amount and the correction value and outputs the fat thickness to the output unit 10.

The operation of the processing unit 83 will be described.
FIG. 10 is a flowchart illustrating an example of the operation of the processing unit 83. In step S <b> 101, the control unit 91 of the processing unit 83 acquires input data from the input unit 9. The input data includes feature information. For example, feature information (data) indicating the age of the user input by the user is acquired from the input unit 9. Information indicating that the fat thickness measurement is started is also acquired from the input unit 9. In step S <b> 102, the control unit 91 acquires any of measurement data such as humidity, temperature, date / time, and position information from the data acquisition unit 82. It should be noted that whichever comes first in step S101 and step S102.

In step S <b> 103, when the calculation unit 92 receives the fat thickness calculation instruction from the control unit 91, the received light data is acquired from the acquisition unit 8 in order to obtain the fat thickness.
In step S104, the calculation unit 92 acquires feature information from the control unit 91, refers to the age-correction value table of the recording unit 84, and acquires a correction value corresponding to the age included in the feature information. In addition, the calculation unit 92 acquires measurement data from the control unit 91 and performs measurement with reference to the humidity-correction value table, the temperature-correction value table, the date-correction value table, and the region-correction value table of the recording unit 84. Get the correction value corresponding to the data.

  FIG. 11 is a diagram illustrating an example of a data structure of a humidity-correction value table, a temperature-correction value table, a date / time-correction value table, and a region-correction value table. The humidity-correction value table 111 has “humidity” and “correction value”. In “humidity”, a humidity range is recorded. In this example, “−30”, “31-40”, “41-50”, “51-60”, “61-65”, and “66-” are recorded. Yes. “-30” indicates that the humidity is 30% or less, “31-40” indicates that the humidity is 31% to 40%, and “41-50” indicates that the humidity is 41% to 50%. It is shown that. “51-60” indicates that the humidity is 51% to 60%, “61-65” indicates that the humidity is 61% to 65%, and “66-” indicates that the humidity is 66% or more. It is shown that. In “correction value”, a correction value is recorded in association with each humidity range recorded in “humidity”. In this example, “situdo_0”, “situdo_1”, “stuido_2”,... Indicating the correction values for the humidity range are recorded. The correction value based on the humidity increases as the humidity increases and decreases as the humidity decreases. The setting of the humidity range is not limited to the above humidity range.

  The temperature-correction value table 112 has “temperature” and “correction value”. The temperature range is recorded in “temperature”. In this example, “−0” indicating temperature indicates that the temperature is 0 ° C. or less, and “1-5” indicates that the temperature is 1 ° C. to 5 ° C. “6-10” indicates that the temperature is 6 ° C. to 10 ° C. “11-15” indicates that the temperature is 11 ° C. to 15 ° C., “16-20” indicates that the temperature is 16 ° C. to 20 ° C., and “21-25” indicates that the temperature is 21 ° C. to 25 ° C. "26-30" indicates that the temperature is 26 ° C to 30 ° C. “31-35” indicates that the temperature is 31 ° C. to 35 ° C., “36-40” indicates that the temperature is 36 ° C. to 40 ° C., and “41-45” indicates that the temperature is 41 ° C. to 45 ° C. “46−” indicates that the temperature is 46 ° C. or lower. In “correction value”, a correction value is recorded in association with each temperature range recorded in “temperature”. In this example, “ondo_0”, “ondo_1”, “ondo_2”... Indicating the correction values for the temperature range are recorded. The setting of the temperature range is not limited to the above range.

  The date-correction value table 113 includes “date and time” and “correction value”. In “Date”, a date range is recorded, and in this example, one day is divided into 24 equal parts, and time is allocated every hour from midnight. In the date-time-correction value table 113 of FIG. 11, “0”, “1”, “2”... “23” are recorded. The setting of the date / time range is not limited to the above range, and for example, any time may be set as the date / time range. In “Correction Value”, a correction value is recorded in association with each date / time range recorded in “Date / Time”. In this example, “nitiji_0”, “nitiji_1”, “nitiji_2”... Indicating the correction values for the date and time range are recorded. As for the correction value for the date and time range, for example, it is conceivable that the correction value is set lower during the period after eating or bathing, and the correction value is increased during the midnight.

  The region-correction value table 114 has “region” and “correction value”. In “area”, the area range is recorded. In this example, “Hokkaido”, “Aomori”, “Iwate”,... Are recorded. In this example, although the area is divided for every prefecture, it is not limited to the above. For example, the area may be divided for each country, or the area may be divided by latitude and longitude. In “correction value”, a correction value is recorded in association with each region recorded in “region”. In this example, “tiiki_0”, “tiiki_1”, “tiiki_2”... Indicating the correction values for the area are recorded.

  A method for obtaining each measurement data will be described. In selecting “humidity”, the calculation unit 92 acquires measurement data corresponding to the current humidity from the control unit 91, and selects a humidity that matches the acquired current humidity with reference to the recording unit 84. In the selection of “temperature”, the calculation unit 92 acquires measurement data corresponding to the current temperature from the control unit 91, and selects a temperature that matches the acquired current temperature. In the selection of “date and time”, measurement data corresponding to the current date and time is acquired, and a date and time that matches the current date and time is selected with reference to the recording unit 84. In the selection of “region”, the calculation unit 92 acquires the current position included in the position information from the control unit 91, and selects a region that matches the acquired current position with reference to the recording unit 84. Note that the user may input the humidity, temperature, date / time, and position information from the input unit 9.

  Also in the second embodiment, the correction value stored in the region-correction value table 114 may be obtained by paying attention to the amount of melanin in the living body instead of the amount of water in the living body. For example, the low-latitude region has longer sunshine hours than the high-latitude region, so that a person living in the low-latitude region may have more melanin than a person living in the high-latitude region. Therefore, it is conceivable to make the correction value smaller as the latitude is lower and larger as the latitude is higher.

  Further, a correction value may be determined by displaying a screen for selecting a correction value as shown in FIG. In the example of FIG. 12, “1) the current location (outdoor, indoor, outdoor)” and “2) the current sensible temperature (hot, just good, cold)” are displayed. When “1) Current location (outdoor, indoor, outdoor)” is displayed, the correction associated with “outdoor”, “indoor”, “outdoor” and “outdoor”, “indoor”, “outdoor” in the region-correction value table If each value is recorded, select and enter the location where the user is currently. Then, the calculation unit 92 selects a correction value associated with one of the input “outdoor”, “indoor”, and “outdoor”. When “2) Current sensible temperature (hot, just good, cold)” is displayed, “hot”, “just good”, “cold” and “hot” “just good” “cold” are displayed in the temperature-correction value table. If each of the associated correction values is recorded, the location where the user is present is selected and input. Then, the calculation unit 92 selects a correction value associated with one of the input “hot”, “just right”, and “cold”.

  When the correction value stored in the region-correction value table 114 is a value determined by paying attention to the melanin amount in the living body, the degree of sunburn related to the melanin amount is displayed as the screen 121 for selecting the correction value. It is also possible to output an option for asking questions.

  In step S105, the calculation unit 92 obtains the fat thickness using the above equation 2 using the received light data and the correction value. The calculating unit 92 outputs the obtained fat thickness data to the output unit 10. The output unit 10 that has received the fat thickness data presents the fat thickness to the user using an image or sound.

  According to the second embodiment, the amount of light received by entering the living body and reappearing on the surface of the living body is measured, and then the correction derived from the change in moisture contained in the living body due to the characteristics of the living body or the surrounding environment of the living body A value is obtained, the received light amount is corrected by the correction value, and the fat thickness is obtained using the corrected received light amount. As a result, the measurement accuracy of fat thickness is improved.

A third embodiment will be described.
In the third embodiment, the amount of light that is incident on a living body and the amount of light received on the surface of the living body is measured again, the moisture content of the living body is measured by a moisture sensor, and a correction value derived from the measured moisture content is obtained. The received light amount is corrected by the value, and the fat thickness is obtained using the corrected received light amount.

  FIG. 13 is a diagram illustrating an example of hardware of the fat thickness measurement apparatus according to the third embodiment. 13 includes a sensor unit 2 (first sensor unit), a moisture sensor unit 132 (second sensor unit), a processing unit 133, a recording unit 134, a drive unit 7, an acquisition unit 8, and an input. Unit 9, output unit 10, drive unit 137, and acquisition unit 138. The input unit 9, output unit 10, drive unit 7, acquisition unit 8, drive unit 137, acquisition unit 138, and recording unit 134 are connected to the processing unit 133. Since the sensor unit 2, the drive unit 7, the acquisition unit 8, the input unit 9, and the output unit 10 have been described in the first embodiment, a description thereof will be omitted.

  The moisture sensor unit 132 measures the moisture content of the living body and is provided in the vicinity of the sensor unit 2. A living tissue is composed of cells and an extracellular fluid filling them, and the cells are composed of an intracellular fluid and a cell membrane. The path through which current flows depends on the frequency. When the frequency is low, the current does not pass through the cell membrane but flows outside the cell, and when the frequency is high, the current passes through the cell membrane. Therefore, the moisture sensor unit 132 causes a current having a constant output value to flow through the living body at a preset frequency from the oscillation unit 135, and the current that appears on the living body surface is received by the receiving unit 136. The data is output to the acquisition unit 138. For example, the moisture sensor unit 132 measures the amount of moisture up to a depth of the skin's stratum corneum. The oscillator 135, the receiver 136, and the acquisition unit 138 will be described later.

  The processing unit 133 includes a control unit 151 and a calculation unit 152. The processing unit 133 may use a CPU, a programmable device (FPGA, PLD), or the like. The control unit 151 and the calculation unit 152 will be described later.

  The recording unit 134 records programs, tables, data, and the like. The recording unit 134 is, for example, a memory such as a ROM or a RAM, a hard disk, or the like. The recording unit 134 may record data such as parameter values and variable values, and can also be used as a work area.

  The drive unit 137 is a drive circuit for causing the oscillation unit 135 to oscillate. For example, the control unit 151 receives a signal that adjusts the current amount and period of the oscillation unit 135 and outputs a current corresponding to the signal to the oscillation unit 135.

  The acquisition unit 138 receives an analog signal corresponding to the amount of current received by the reception unit 136, amplifies the received analog signal, converts the analog signal into a digital signal, and outputs the digital signal to the processing unit 133. The acquisition unit 138 includes, for example, an analog-digital converter. The acquisition unit 138 records moisture data (current value), which is a received digital signal, in the recording unit 134.

  14A and 14B are cross-sectional views showing one embodiment of the sensor unit and the moisture sensor unit. In the examples of FIGS. 14A and 14B, a skin part 21 showing an epidermis and dermis inside a living body, a fat layer 22 and a muscle layer 23 are shown. And the sensor part 2 of the fat thickness measuring apparatus 1 is closely_contact | adhered and arrange | positioned on the skin part 21. FIG. Since the sensor unit 2 has been described in the first embodiment, a detailed description thereof will be omitted.

  The moisture sensor unit 132 includes a hole 141 that stores the oscillation unit 135 that outputs current and a hole 142 that stores the reception unit 136 that receives current. The oscillation unit 135 has a terminal that outputs a current in contact with the living body. The light receiving unit 6 receives the current that appears on the surface of the living body again from the inside of the living body. The receiving unit 136 has a terminal for receiving a current in contact with the living body. Each of the terminals of the oscillating unit 135 and the receiving unit 136 is, for example, a conductor, such as Cu (copper), Al (aluminum), or Au (gold).

  The hole 141 has a size that can accommodate the oscillating portion 135, and the shape may be, for example, a cylindrical shape or a cubic shape. The hole 142 is sized to accommodate the receiving unit 136, and the shape may be, for example, a cylindrical shape or a cubic shape. In the present embodiment, the oscillating unit 135 and the receiving unit 136 are arranged so as to be embedded in the surface of the casing of the fat thickness measuring device 131. In addition, it is desirable that the height of the housing surface of the fat thickness measuring device 131 and the surface of each terminal be the same. The reason is to prevent the fat thickness from being deformed by pressing the living body with the sensor unit 2. Further, the living body surface, the surface of each of the terminals of the oscillating unit 135 and the receiving unit 136 are brought into close contact with each other to avoid the formation of an air layer between the surface of the living body and each of the terminals. However, the terminals of the oscillating unit 135 and the receiving unit 136 may be in contact with the living body, and may protrude from the housing surface.

The interval between the oscillation unit 135 and the reception unit 136 is determined by the size of the oscillation unit 135, the amount of current to be output, the size of the reception unit 136, and the amount of current to be received.
Further, it is desirable to reduce the size of the moisture sensor unit 132.

The arrangement of the sensor unit 2 and the moisture sensor unit 132 will be described.
Since the sensor unit 2 measures the fat thickness of the living body, the position of the moisture sensor unit 132 is preferably close to the sensor unit 2. As shown in A of FIG. 14, the moisture sensor unit 132 may be disposed between the light emitting unit 5 and the light receiving unit 6 of the sensor unit 2. As shown in B of FIG. 14, the moisture sensor unit 132 may be disposed outside the light emitting unit 5 and the light receiving unit 6 of the sensor unit 2 instead of between the light emitting unit 5 and the light receiving unit 6.

The processing unit 133 will be described.
FIG. 15 is a diagram illustrating an example of functional blocks of the processing unit 133. The processing unit 133 includes a control unit 151 and a calculation unit 152. The control unit 151 causes the light emitting unit 5 to emit light with a predetermined light emission amount. In the example of FIG. 15, a light emission control signal for controlling the light emitting unit 5 is output from the control unit 151. In the example of FIG. 15, the control unit 151 acquires input data from the input unit 9. The input data may be, for example, data input by the user. In the example of FIG. 15, the control unit 151 outputs a fat thickness calculation instruction or the like for obtaining the fat thickness to the calculation unit 32.

  Further, the control unit 151 causes the oscillation unit 135 to output a current having a predetermined frequency. In the example of FIG. 15, an oscillation control signal for controlling the oscillation unit 135 is output from the control unit 151. For example, the frequency is desirably 0.1 Hz to 1.0 Hz. Further, the output timing of the current may be the same as that for emitting light, or the timing may be shifted.

In the example of FIG. 15, the control unit 151 acquires input data from the input unit 9. The input data may be, for example, data input by the user.
The calculation unit 152 receives moisture data measured by the moisture sensor unit 132, obtains a correction value corresponding to the moisture data, and obtains a fat thickness using the obtained correction value and received light amount. The fat thickness Y can be expressed by Equation 4.
Y = PD × exp ((− L × C) × γ) × a + b (Formula 4)
Y: fat thickness L: optical path length γ: correction value PD: received light quantity C: scattering coefficient + absorption coefficient a: slope b: intercept

  The correction value γ is a value used for obtaining the fat thickness while suppressing the influence of the moisture amount when the amount of received light changes depending on the moisture amount contained in the living body. If the living body has a lot of water, the light output from the light emitting unit 5 will be emitted from the place close to the light emitting unit 5 to the surface of the living body. Therefore, the light receiving unit 6 reduces the amount of light received from the surface of the living body. Therefore, this value is used to suppress the influence of the amount of light received due to moisture. The slope a is a value derived from the slope of a linear straight line obtained statistically using actual measurement values obtained by measuring each of a plurality of fat thicknesses a plurality of times. The intercept b is a value indicating the intercept of the linear straight line obtained statistically using the actual measurement values obtained by measuring each of the plurality of fat thicknesses a plurality of times. Further, the optical path length L is a distance between the light emitting unit 5 and the light receiving unit 6 in this example. However, since it may be a value expressed using the optical path length of the light scattered in the living body, the distance between the light emitting unit 5 and the light receiving unit 6 may be the optical path length. The received light amount PD is received light data (received light amount) acquired from the acquisition unit 8 and indicates a voltage value. The optical path length L, scattering coefficient + absorption coefficient C, slope a, and intercept b are recorded in the recording unit 4. The exp () indicates e to the power (^), for example, exp (a) = e ^ a.

  The moisture data is information indicating a current value of a living body and a value corresponding to the amount of moisture. In addition, in order to obtain the correction value, the moisture data is previously recorded in the recording unit in association with the correction value. It is conceivable to record a current value-correction value table to be described later.

  Another method for obtaining the received light amount PD will be described. In order to improve the measurement accuracy of fat thickness, for example, the light emitting unit 5 is caused to emit light at a plurality of light emission amounts and at the same light emission amount twice or more within a predetermined period in a predetermined period. Also good. The control unit 151 outputs a light emission control signal for causing the light emitting unit 5 to emit light with a plurality of light emission amounts and the same light emission amount twice or more within a period. In that case, a determination unit is further provided in the control unit 151 to determine whether or not the amount of light received by the light receiving unit 6 is valid. When it is determined that the received light amount is effective, the fat thickness is obtained using a plurality of received light amounts corresponding to the plurality of light determined to be effective emitted within the period.

  In the example of FIG. 15, the calculation unit 152 acquires the amount of received light (data) from the acquisition unit 8. Further, the calculation unit 152 refers to the current value-correction value table of the recording unit 4 using the moisture data, and acquires a correction value corresponding to the current value. Thereafter, the calculation unit 152 obtains the fat thickness using the received light amount and the correction value, and outputs the fat thickness to the output unit 10.

The operation of the processing unit 133 will be described.
FIG. 16 is a flowchart illustrating an example of the operation of the processing unit 133. In step S161, the control unit 151 of the processing unit 133 acquires input data indicating that the fat thickness measurement is started from the input unit 9.

In step S162, when the calculation unit 152 receives the fat thickness calculation instruction from the control unit 151, the light reception data is acquired from the acquisition unit 8 in order to obtain the fat thickness.
In step S163, the calculation unit 152 acquires moisture data from the control unit 151, refers to the current value-correction value table of the recording unit 134, and acquires a correction value corresponding to the current value included in the moisture data. FIG. 17 is a diagram illustrating an example of the data structure of the age-correction value table. The current value-correction value table 171 shown in FIG. 17 has “current value” and “correction value”. In the “current value”, the current value is recorded, and in this example, the current value is recorded in order from 0 mA. In this example, “0”, “1”, “2”... Indicating current values are recorded. The current value range setting is not limited to the above. In “correction value”, a correction value is recorded in association with each of the current values recorded in “current value”. The correction value is that the light output from the light emitting unit 5 is emitted from a location close to the light emitting unit 5 to the living body surface when the living body has a lot of moisture. This value is used to suppress the influence of the amount of received light due to moisture. In this example, “denryu_0”, “denryu_1”, “denryu_2”... Indicating the correction values are recorded. The correction value based on the current value has a larger water content as the current value is larger, and a smaller water content as the current value is smaller.

  In step S164, the calculation unit 152 obtains the fat thickness using the above equation 4 using the received light data and the correction value. The calculation unit 152 outputs the obtained fat thickness data to the output unit 10. The output unit 10 that has received the fat thickness data presents the fat thickness to the user using an image or sound.

According to the third embodiment, by obtaining the fat thickness using the correction value associated with the measured current value, there is an effect of improving the measurement accuracy of the optical fat thickness measurement.
The first, second, and third embodiments may be used for mobile terminals such as mobile phones, personal handy-phone systems (PHS), and portable personal computers.

A fourth embodiment will be described.
Embodiment 4 demonstrates the case where the process of Embodiment 1, 2, 3 is implement | achieved using a computer.

  FIG. 18 is a diagram illustrating an example of a hardware configuration of a computer according to the fourth embodiment. A computer hardware 1800 includes a CPU 1801, a recording unit 1802, a recording medium reading device 1803, an input / output interface 1804 (input / output I / F), a communication interface 1805 (communication I / F), and the like. Further, each of the above components is connected by a bus 1806.

The CPU 1801 executes a process necessary for obtaining the fat thickness performed by the above-described processing units 3, 83, and 133 stored in the recording unit 1802.
The recording unit 1802 records programs executed by the CPU 1801 and data. It is also used as a work area. The recording unit 1802 has the functions of the recording units 4, 84, and 134 described above. The recording unit 1802 is, for example, a ROM, a RAM, a hard disk drive, or the like.

  The recording medium reading device 1803 controls reading / writing of data with respect to the recording medium 1807 according to the control of the CPU 1801. Then, the data written under the control of the recording medium reading device 1803 is recorded on the recording medium 1807, or the data recorded on the recording medium 1807 is read. The detachable recording medium 1807 includes a magnetic recording device, an optical disc, a magneto-optical recording medium, a semiconductor memory, and the like as a computer-readable non-transitory recording medium. The magnetic recording device includes a hard disk device (HDD). Optical discs include Digital Versatile Disc (DVD), DVD-RAM, Compact Disc Read Only Memory (CD-ROM), CD-R (Recordable) / RW (ReWritable), Universal Serial Bus (USB) memory, and the like. Magneto-optical recording media include Magneto-Optical disk (MO). Semiconductor memory includes flash memory. Note that the recording unit 1802 is also included in a non-transitory recording medium.

  An input / output device 1808 is connected to the input / output interface 1804, receives information input by the user, and transmits the information to the CPU 1801 via the bus 1806. Further, operation information and the like are displayed on the display screen in accordance with a command from the CPU 1801.

  The input / output device 1808 includes an input unit 9 and an output unit 10. In the case of the first embodiment, the input / output device 1808 is a device that includes the sensor unit 2, the drive unit 7, and the acquisition unit 8, and controls the light emission of the light emitting unit 5 of the sensor unit 2 and the light receiving unit 6. The CPU 1801 inputs / outputs a signal for controlling the received light and received light data from the acquisition unit 8.

  In the case of the second embodiment, the input / output device 1808 includes the sensor unit 2, the data acquisition unit 82, the drive unit 7, and the acquisition unit 8. A signal for controlling the light emission of the light emitting unit 5 and the light receiving unit 6 of the sensor unit 2 and the light receiving data from the obtaining unit 8 are input to and output from the CPU 1801.

  In the case of the third embodiment, the input / output device 1808 is a device including the sensor unit 2, the drive unit 7, the acquisition unit 8, the moisture sensor unit 132, the drive unit 137, and the acquisition unit 138. A signal for controlling the light emission of the light emitting unit 5 and the light receiving unit 6 of the sensor unit 2 and the light receiving data from the obtaining unit 8 are input to and output from the CPU 1801. Further, a signal for controlling the oscillation of the oscillation unit 135 of the moisture sensor unit 132 and the reception of the reception unit 136 and the moisture data from the acquisition unit 138 are input to and output from the CPU 1801.

  The communication interface 1805 is an interface for performing Local Area Network (LAN) connection, Internet connection, or wireless connection with another computer as necessary. It is also connected to other devices and controls data input / output from external devices.

  By using a computer having such a hardware configuration, the various processing functions described above are realized. In that case, a program describing the processing contents of the functions that the system should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing content can be recorded on a computer-readable recording medium 1807. The various processing functions are the flowcharts described in the first, second, and third embodiments.

  When distributing the program, for example, a recording medium 1807 such as a DVD or a CD-ROM in which the program is recorded is sold. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded in the recording medium 1807 or the program transferred from the server computer in its recording unit 1802. Then, the computer reads the program from its own recording unit 1802 and executes processing according to the program. Note that the computer can also read a program directly from the recording medium 1807 and execute processing according to the program. Further, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

  The present invention is not limited to the above-described embodiment, and various improvements and modifications can be made without departing from the gist of the present invention. Each embodiment may be combined with each other as long as there is no contradiction in processing.

DESCRIPTION OF SYMBOLS 1 Fat thickness measuring apparatus 2 Sensor part 3 Processing part 4 Recording part 5 Light emission part 6 Light receiving part 7 Drive part 8 Acquisition part 9 Input part 10 Output part 24, 25 Hole part 26, 27 Cover filter 31 Control part 32 Calculation part 61 Age -Correction value table 81 Fat thickness measuring device 82 Acquisition unit 83 Processing unit 84 Recording unit 91 Control unit 92 Calculation unit 111 Humidity-correction value table 112 Temperature-correction value table 113 Date-correction value table 114 Region-correction value table 131 Fat Thickness measuring device 132 Moisture sensor unit 133 Processing unit 134 Recording unit 135 Oscillating unit 136 Receiving unit 137 Driving unit 138 Acquisition unit 141, 142 Hole unit 151 Control unit 152 Calculation unit 171 Current value-correction value table 1800 Hardware 1801 CPU
1802 Recording unit 1803 Recording medium reader 1804 Input / output interface 1805 Communication interface 1806 Bus 1807 Recording medium 1808 Input / output device

Claims (8)

A light emitting unit that emits light incident on the living body, a sensor unit having a light receiving unit that receives light that appears on the surface of the living body and detects the amount of light received;
An input unit for inputting feature information indicating features of the living body;
Calculation for obtaining fat thickness of the living body using a control unit that causes the light emitting unit to emit light with a predetermined light emission amount, a correction value associated with the feature information input from the input unit, and the light reception amount A processing unit comprising:
A fat thickness measuring apparatus comprising:   The calculation unit acquires age information indicating age as the feature information, and calculates the fat thickness of the living body using the correction value and the received light amount associated with the acquired age information. The fat thickness measuring apparatus according to claim 1. The fat thickness measurement apparatus further includes a data acquisition unit that acquires measurement data from one or more types of measuring instruments,
The fat thickness measurement apparatus according to claim 1, wherein the calculation unit obtains the fat thickness of the living body using the correction value and the received light amount associated with each of the measurement data. The data acquisition unit acquires measurement data indicating humidity from the measuring instrument,
The fat thickness measurement according to claim 3, wherein the calculation unit obtains the fat thickness of the living body using the correction value associated with the measurement data indicating the acquired humidity and the received light amount. apparatus. A light emitting unit that emits light incident on a living body, a first sensor unit that includes a light receiving unit that receives light that appears on the surface of the living body and detects the amount of light received;
An oscillating unit that outputs a current to a living body; a second sensor unit that includes a receiving unit that receives a current appearing on the surface of the living body and detects a current amount;
A control unit that performs control for causing the light emitting unit to emit light with a predetermined light emission amount, control for causing the oscillation unit to oscillate with a current amount having a predetermined frequency, and a current amount measured by the second sensor unit A calculation unit that calculates a fat thickness of the living body using the correction value associated with the received light amount and the received light amount;
A fat thickness measuring apparatus comprising: On the computer,
Obtaining feature information indicating the features of the living body input from the input unit,
A light emitting unit that emits light incident on the living body is controlled to emit light at a predetermined light emission amount;
The amount of received light detected by the light receiving unit that receives light that appears on the surface of the living body is obtained,
Obtaining the fat thickness of the living body using the correction value associated with the feature information input from the input unit and the received light amount;
A fat thickness measurement program for executing a process. Get measurement data from one or more types of instruments,
A fat thickness measurement program that causes the computer to execute a process of obtaining fat thickness of the living body using the correction value and the amount of received light associated with each of the measurement data. On the computer,
Obtaining feature information indicating the features of the living body input from the input unit,
A light emitting unit that emits light incident on the living body is controlled to emit light at a predetermined light emission amount;
The amount of received light detected by the light receiving unit that receives light that appears on the surface of the living body is obtained,
Control the oscillation unit that outputs current to the living body to oscillate with a current amount of a predetermined frequency,
Obtain the amount of current detected by the receiving unit that receives the current appearing on the surface of the living body,
Using the correction value associated with the amount of current and the amount of received light to determine fat thickness,
A fat thickness measurement program for executing a process.