JP6431300B2 - Biological information measuring device - Google Patents

Description

  The present invention relates to a biological information measuring device that measures biological information such as body weight and body composition, and more particularly to a technique for identifying a measurer.

Conventionally, body weight is measured for the purpose of self-health and physical condition management. In recent years, there is a biological information measuring device that measures bioelectrical impedance in addition to body weight and calculates various body compositions such as body fat percentage and basal metabolism from the measured values. In such a biological information measuring device, since basic information such as the height and gender of the measurer is required to calculate various body compositions, for example, assuming a case where multiple people in the home measure, Basic information can be registered in advance for each user.
In the case of a biometric information measuring apparatus that can be registered by a user, it is necessary to specify a measurement user. In Patent Document 1, a measurement person is specified using bioimpedance as a determination condition. It is used as a determination condition, and a measurer is specified from a user registrant who applies to a certain range of bioimpedance and a certain range of weight with respect to the measurement result.

However, when a user whose bioimpedance or weight is close to the measured value is specified as a measurer among registered users, there is a problem that the measurer cannot be specified accurately among registered users whose bioimpedance or weight is close.
In particular, when a biological information measuring device is used between families, there is a case where a measurement person is mistakenly specified because there are cases where a parent and a child or a sibling have a similar body shape.
The measurement result is stored in the biological information measuring device or externally output (including transmission), so that it can be used for the periodic and long-term physical condition management of the measurer. In particular, the operator's specific error is particularly problematic.

JP 2001-204705 A JP 2002-345774 A

  An object of the present invention is to specify a measurer more accurately from registered users.

(1) In the first aspect of the invention, the weight measuring means for measuring the weight of the measurer, the bioimpedance measuring means for measuring the bioimpedance of the measurer, and the measurement time for detecting the measurement time measured by the measurer A detection means, a user registration means for registering the user of the measurer, an allowable range based on an added value obtained by adding an allowable value to the measured value of the measured body weight and a subtracted value obtained by subtraction, and a measured value of the measured bioimpedance At least one of an addition value obtained by adding an allowable value and an allowable range obtained by subtracting a subtraction value , and an addition time obtained by adding an allowable time to the detected measurement time and an allowable range obtained by subtracting the subtraction time are set for each user. a measurement history storage means for storing a measurement history, and at least one, and the measurement time of the present that the detection of the current body weight and bioelectrical impedance obtained by the measurement By comparing the respective tolerance in the measurement history for each user stored in the measurement history storage unit, to provide a biological information measurement device is characterized in that comprises a user recognition means for recognizing a user, a .
(2) In the invention described in claim 2, the user registration means stores gender, age specifying information, and height as basic information for each user, and measures the measured weight and bioimpedance and the recognized user. Further comprising: body composition calculation means for calculating the body composition of the user from the corresponding stored basic information; and output means for outputting the measured body weight and the calculated body composition or bioimpedance. A biological information measuring device according to claim 1 is provided.
(3) In the invention according to claim 3, the user recognizing means has at least one of the weight measured this time and the bioimpedance measured this time within the permissible range corresponding to the measurement history, and the current measurement. An evaluation point is assigned to the measurement history whose time is within the allowable range of the measurement time of the measurement history, and the total score of the evaluation points for each user or the user with the highest average score is the measurer. The biological information measuring device according to claim 1, wherein the biological information measuring device is recognized.
(4) The invention described in claim 4 includes a calculation unit that obtains a median value of an allowable value and a subtraction value of each allowable range in the measurement history as weight, bioelectrical impedance, and measurement time with respect to the measurement history. The biological information measuring device according to claim 1, 2, or 3 is provided.

According to the invention, at least one of the allowable range of the measured weight and the allowable range of the bioelectrical impedance and the allowable range of the detected measurement time is stored as a measurement history for each user, and at least one of the current weight and the bioelectrical impedance is stored. In addition, since the user is recognized by comparing the current measurement time with each allowable range in the measurement history for each user, the measurer can be identified more accurately and easily from among the registered users. .

It is an external appearance block diagram of a biological information measuring device. It is a functional block diagram of a biological information measuring device. It is explanatory drawing which represented the content of the memory | storage data of a user information storage part and measurement result historical data notionally. It is explanatory drawing showing the detail of the display screen of a display part. It is a block diagram in the case of making a control part, a weight sensor, and an A / D conversion part function as a measurement habit detection means. It is a block diagram in the case of making a control part, a measurement electrode, and an A / D conversion part function as a measurement habit detection means. It is a block diagram in the case of making a control part and a push switch function as a measurement habit detection means. It is a flowchart showing the whole measurement processing operation. It is explanatory drawing showing essential conditions and determination conditions corresponding to each history data of each registered user. It is a flowchart showing a measurer recognition process. It is explanatory drawing showing essential conditions and determination conditions corresponding to each history data of each registered user in the second embodiment. It is a flowchart showing the detail of the measurer identification process in 2nd Embodiment. It is explanatory drawing showing the preservation | save content of the measurement result log | history in a modification.

Hereinafter, a preferred embodiment of the biological information measuring device of the present invention will be described in detail with reference to FIGS.
(1) Outline of Embodiment In the biological information measuring apparatus of the present embodiment, not only the measurement result of the target measurement object, but also the measurement habits when each user registered in advance measures, for example, at the time of measurement first A measurer is specified by using one or a plurality of measurement habit information such as information on a placed foot (either left or right), information on a previously lowered foot, measurement time, and the like.
For this reason, the biological information measuring device detects measurement habits in addition to measurement of body weight and bioelectrical impedance, and stores measurement habit information as history data of measurement results for each registered user.
Then, the measurement result is compared with the past measurement result history, and in addition to the conventional identification conditions such as bioimpedance and body weight, it is determined whether the measurement habit, for example, the foot at the start of riding matches, The accuracy of identifying the measurer is improved by recognizing the registration number having the highest history ratio as the measurer.
In this way, it is possible to identify the measurer in consideration of different behavioral habits (measurement habits) by each registered user at the time of measurement, and it is possible to recognize a measurer having a close body shape with high accuracy.

(2) Details of Embodiment: First Embodiment FIG. 1 shows an external configuration of a biological information measuring apparatus to which the present embodiment is applied, (a) is a plan view, (b) is a front view, c) is a rear view.
As shown in FIG. 1 (a), the biological information measuring apparatus 1 of the present embodiment includes an apparatus main body 10. On the upper surface of the apparatus main body 10, there are a display unit 11 and left and right and up and down according to the arrangement of legs. Measurement electrodes 12 and an operation unit 13 are arranged at four positions.
On the back side of the apparatus main body 10, weight sensors 15Lf, 15Lb, 15Rf, and 15Rb are arranged at four corners as shown by dotted lines in FIG. 1 (a) and as shown in FIGS. 1 (b) and 1 (c). Further, push switches 16L and 16R are arranged at both front corners of the apparatus main body 10.
As shown in FIG. 1B, a power switch 14 is disposed on the rear side surface of the apparatus main body 10.

The apparatus main body 10 is a casing with a flat surface on which a measurement subject rides.
An electronic circuit, a power source, a power source holding unit, and the like (not shown) are provided inside the apparatus body 10.

The display unit 11 is composed of a liquid crystal display.
The display unit 11 of the present embodiment employs a segment system, but a dot matrix liquid crystal display can also be employed.
The display unit 11 displays input information input at the time of user registration, measurement results such as weight and body fat percentage, and the like.
Each display item and display area of the display unit 11 will be described later.

The measurement electrodes 12Lf, 12Lb, 12Rf, and 12Rb are for measuring the bioimpedance of the measurement subject on the apparatus body 10, and a total of four electrodes are arranged on the front, rear, left, and right.
The measurement electrode 12Lf, 12Lb, 12Rf, 12Rb measures the resistance value between the electrodes, thereby calculating the bioimpedance of the measurer.
Actually, a weak constant current of high frequency is applied from one electrode, a voltage drop is measured at the other one electrode, and a resistance value between both electrodes is measured from this voltage drop.

The measurement electrodes 12Lf, 12Lb, 12Rf, and 12Rb are distinguished and displayed by L and R with respect to the left and right, and subscripts f and b with respect to the front and rear depending on the arrangement location.
In measurement, the measurer places the toe side and the heel side of the left and right feet on the measurement electrodes 12Lf, 12Lb, 12Rf, and 12Rb with the arch interposed therebetween.
In the following description, as a symbol for designating the measurement electrode, 12L or 12R is designated when specifying either left or right regardless of front and rear, and either front or rear is specified regardless of left or right. In this case, they are expressed as 12f and 12b, and when any one or all of the measurement electrodes are specified regardless of whether they are front, rear, left or right, they are expressed as 12.
The notation of this subscript is the same for the weight sensors 15Lf, 15Lb, 15Rf, 15Rb, and the push switches 16L, R.

The measurement electrode 12 can function as a part of measurement habit detection means for detecting a measurement habit of the measurer.
That is, in the measurement electrode 12, the resistance value between the electrodes is detected. From the detection order, which of the left and right feet is put on by the measurer first and / or which of the left and right feet is The order of the foot when getting on and off, such as whether it was lowered first, is detected and stored as measurement habit information.

The operation unit 13 includes an upper key 13a, a lower key 13b, a clear key 13c, and a setting key 13d.
The up and down keys 13a and 13b are keys for making a transition to another screen on a display screen having no setting items and changing the contents (numerical values and items) of the setting items on the display screen having the setting items.
The clear key 13c is a key for clearing each item and value being displayed and returning to the previous screen.
The setting key 13d is a key for confirming an item set on a display screen with a setting item and shifting to the next setting item and the next display screen.
Various selections such as input of basic information (height, sex, date of birth) for each user (measurement person), selection of a user, and selection of various modes are performed by operating each key of the operation unit 13.

  The biological information measuring apparatus 1 is configured such that, after the measurement is completed, when a non-operation state of the operation unit 13 has elapsed for a predetermined time (for example, 1 minute), the biological information measurement device 1 shifts to a power saving state and the liquid crystal display of the display unit 11 is turned off. ing. In this power saving state, when any key of the operation unit 13 is pressed, the power saving state is canceled and calibration is started.

  The power switch 14 is a switch that cuts off all power supply from the power source to each unit such as the display device 11 and a control unit described later.

The weight sensors 15Lf, 15Lb, 15Rf, and 15Rb are sensors for measuring the weight of the measurer on the biological information measuring device 1, and are configured by four load cells in the present embodiment.
Each weight sensor 15 outputs a physical quantity corresponding to the weight value of the measurer, and the weight of the measurer is calculated based on each output value.
The body weight of the measurer calculated from each detection value of the weight sensor 15 is used to calculate the body composition BMI (Body Mass Index) and basal metabolism together with the basic information registered for the measurer. The body weight of the measurer includes the body impedance calculated from the detection value of the measurement electrode 12 and basic information, and the body fat percentage, the built-in fat level (rate), the body age, the bone level, and the skeletal muscle. Level and moisture content are calculated.

Each weight sensor 15 measures a load applied during measurement in units of 10 g.
In the present embodiment, the weight calculated in units of 10 g is used for storage in a measurement result history, which will be described later, and calculation of biological information such as body fat percentage, and the display device 11 is rounded to the nearest 100 g. Are all displayed in units of 10 g, or all units of 100 g can be used.
However, for simplification in the following description, a case where the unit is 100 g in storage, calculation, and display will be described.

The weight sensor 15 can function as a part of measurement habit detection means for detecting a measurement habit of the measurer.
In other words, the weight sensor 15 detects the load applied to each sensor. From the detection order, which one of the left and right feet is put on by the measurer first and / or which of the left and right feet is first. The left / right order of the foot and the front / back / left / right order when getting on and off, such as whether it has been lowered, are detected and stored as measurement habit information.

The push switches 16L and 16R are arranged at two positions on the back side of the apparatus main body 10 and the front left and right, and are switches that detect that the measurer gets on the biological information measuring apparatus 1 (step-on).
When the biological information measuring device 1 is in a power saving state, when step-on is detected by the push switch 16, the measurement is started after returning from the power saving state.

The push switch 16 can function as a part of measurement habit detection means for detecting a measurement habit of the measurer.
That is, of the push switches 16L and 16R arranged on the left and right, when the measurer gets on the biological information measuring device 1, the side that was pushed first (the side that was previously turned on) Or / and the side that has been turned off first after the measurement is determined to be the foot that has been lowered first, the order of the feet when getting on and off is detected and stored as measurement habit information.

In the biological information measuring apparatus 1 according to the present embodiment, the case where the two push switches 16L and 16R are arranged on the front left and right will be described. However, the push switches 16L and 16R may be arranged on the rear left and right. You may make it arrange | position to.
In particular, when the push switch 16 is made to function as a part of the measurement habit detecting means, it is possible to detect the order of getting on and off and / or getting off about the front, rear, left and right by arranging in four places. It is possible to detect the measurement practice of the person with higher accuracy.

FIG. 2 shows functional blocks of the biological information measuring apparatus 1.
The biological information measuring apparatus 1 includes a control unit 20 that performs various controls on the entire apparatus such as calculation of biological information based on measurement results, display control thereof, storage in a measurement result history, and control corresponding to an input operation.
The control unit 20 includes a display unit 11, an operation unit 13, a push switch 16, A / D conversion units 31 and 32, a date and time information measurement unit 33, a communication unit 34, an audio output unit 35, and a nonvolatile memory that functions as a storage device 40 is connected.

The A / D conversion unit 31 converts the analog detection value input from each weight sensor 15 into a digital value and supplies the digital value to the control unit 20.
The A / D conversion unit 32 converts the analog detection value input from each measurement electrode 12 into a digital value and supplies the digital value to the control unit 20.

  The date / time information measuring unit 33 functions as a time measuring unit that measures the current date / time in units of year / month / day / hour / minute / second as date / time information, and supplies the measured date / time information to the control unit 20. The date information may be supplied at every predetermined timing, or may be supplied in response to a request from the control unit 20.

The communication unit 34 functions as an output unit for outputting various measurement results obtained by the biological information measuring apparatus 1 to the outside.
The measurement result by the communication unit 34 is output wirelessly in this embodiment, but may be output by wire.
As an example in the case of wired, for example, output to various storage media such as a USB memory, and output to an external device such as a personal computer or a portable terminal via various cables are possible.
As a method of outputting measurement results by wireless communication by the communication unit 34, Bluetooth (Bluetooth (registered trademark)), infrared communication, NFC (registered trademark), ZigBee (registered trademark), WiMAX (Worldwide Interoperability Access (registered trademark)) Various short-range wireless communications such as Wi-Fi (Wireless Fidelity (registered trademark)) and various wireless communications such as 3G system and 4G system can be used.
The communication unit 34 according to the present embodiment is configured to be able to input and output data using one or a plurality of methods among these various wired and wireless communications.

The voice output unit 35 is an output device that outputs a guidance voice for operation guidance corresponding to each input operation screen during an input operation, and outputs a beep sound after the measurement is completed.
About the sound and sound by the audio | voice output part 35, although it is set to ON which outputs as a default setting, it can be changed to OFF setting by user operation. Note that the default setting may be reversed.

The nonvolatile memory 40 is configured by a storage medium that stores various data, and stores a user information storage unit 41, measurement result history data 42, and other data.
FIG. 3 conceptually shows the contents of the stored data of the user information storage unit 41 and the measurement result history data 42.
As shown in FIG. 3A, the user information storage unit 41 stores user number, gender, height, and age specifying information as basic information for each user (measurer). The age specifying information may be information that can calculate the age of the user at the time of measurement, and corresponds to the age of the user at the time of registration, the registration date, the date of birth, and the like.

The measurement result history data 42 stores a user 1 history 421, a user 2 history 422,... For each registered user number.
Each user history of the measurement result history data 42 stores weight (kg), bioelectrical impedance (Ω), measurement date / time (year / month / day / minute), and measurement habit information as shown in FIG. . As the measurement habit information, in the present embodiment, data for specifying the foot on the side that was placed first at the time of measurement is stored.
In the present embodiment, the case where the number of user registrations is four is described. However, any number of users can be registered as long as a plurality of measurers need to be recognized, such as five assuming a family of five. Yes, it can be unlimited.
In FIG. 3, bioelectrical impedance is represented by BI. The same applies to other drawings.

FIG. 4 shows details of the display screen of the display unit 11.
FIG. 4 is a display screen showing the weight and body fat percentage after the measurement.
The display unit 11 functions as an output unit that displays the measurement result.
As shown in FIG. 4, the display unit 11 includes six display areas from the first display unit 111 to the sixth display unit 116.
The first display unit 111 and the second display unit 112 are regions in which measurement results and input values in input operations are displayed.
When the measurement result is displayed, the weight is displayed on the first display unit 111, and the calculated body composition value is sequentially switched every predetermined time (for example, 2 seconds) on the second display unit 112. Is displayed. The second display unit 112 sequentially displays body fat percentage, BMI, basal metabolism, skeletal muscle level, bone level, visceral fat level, water content, body age, and body fat percentage. While these body compositions are sequentially switched and displayed on the second display unit 112, the weight is continuously displayed on the first display unit 111.

  On the other hand, when the input value is displayed in the input operation, the year is displayed on the first display unit 111 and the date is displayed on the second display unit 112 in the input operation for setting the date and time or the user's birth date. In the date and time setting, the input time (hours and minutes) is displayed on the first display unit 111 after inputting the date.

The first display unit 111 and the second display unit 112 display measured values and input values, and display units (kg, cm,%, Kcal) of displayed items and display items corresponding to each display content. The supplementary characters (year, month, day, hour, minute, age) for are displayed.
In FIG. 4, the body weight (61.3 kg) and the body fat percentage (15.5%) are displayed as the measurement results after the measurement.

  The third display unit 113 is a graph that displays how far each body composition displayed on the second display unit 112 is from the standard value. A total of nine levels are displayed, including the standard three levels, the lower three levels, and the higher three levels.

The fourth display unit 114 displays item names of items being displayed on the first display unit 111 and the second display unit 112. In FIG. 4, the item name “weight” for the display of the first display unit 111 is displayed, and the item name “body fat percentage” for the display of the second display unit 112 is displayed.
Although not displayed in FIG. 4, “during measurement” is displayed on the fourth display unit 114 during measurement.

The fifth display unit 115 displays the user number and gender.
As for the user number displayed on the fifth display unit 115, the specified user number is displayed when the user is specified before the start of measurement, and the user automatically recognized from the measurement result in the automatic recognition mode. The number is displayed.
The gender displayed in the fifth display unit 115 is the gender stored in the user information storage unit 41 corresponding to the designated or automatically recognized user number, as shown in FIG. , “Female”.

  The sixth display unit 116 is a display area in which various states of the biological information measuring device 1 are displayed, and displays a remaining battery level display, a radio wave reception state, and the like.

Returning to FIG. 2, the control unit 20 includes a CPU that performs various arithmetic processes according to a program, a ROM that stores the program, a RAM as a work area, and the like.
The control unit 20 performs various processes such as calculation, display, and storage of biological information according to a measurement processing program stored in various storage media, and performs a measurer identification process in the present embodiment. As a functional block for performing each of these processes according to a program, the control unit 20 includes a weight calculation unit 21, a bioelectrical impedance calculation unit 22, a boarding / alighting determination unit 23, a body composition calculation unit 24, a measurer identification unit 25, and a measurement result storage control unit. 26.

The weight calculation unit 21 calculates the weight of the measurer from each weight value detected by each weight sensor 15 and converted into a digital signal by the A / D conversion unit 31. Specifically, the weight of the measurer is calculated by summing up the respective weight values.
The weight calculation unit 21 supplies the calculated weight of the measurer to the body composition calculation unit 24.

The bioelectrical impedance calculation unit 22 detects the resistance value between the measurement electrode 12L and the measurement electrode 12R detected by each measurement electrode 12 and converted into a digital signal by the A / D conversion unit 32 (between the left foot-body-right foot). The bioelectrical impedance of the measurer is calculated from the resistance value. For the calculation of the bioelectrical impedance, a known calculation method is adopted, and other body compositions are also calculated based on known calculation formulas and statistical data.
The bioelectrical impedance calculating unit 22 supplies the calculated biometric impedance of the measurer to the body composition calculating unit 24.

  The boarding / alighting determination unit 23 determines the step-on of the measurer based on a signal (switch ON signal) supplied from the push switch 16. As described above, when step-on is detected in the power saving state, the power saving state is canceled and measurement is started.

The body composition calculation unit 24 corresponds to the weight supplied from the weight calculation unit 21, the bioimpedance supplied from the bioimpedance calculation unit 22, and the user number identified by the designated user number or the measurer identification unit 25. Then, each body composition of the measurer is calculated using the user information (gender, height, age calculated from the date of birth) recorded in the user information storage unit 41.
The measured body weight and each calculated body composition are displayed on the display unit 11.

The measurer identifying unit 25 compares the body weight, bioelectrical impedance, measurement habit information obtained by the current measurement with the measurement history for each user stored in the measurement result history data 42, so that the measurer's Identification, that is, identification of the user number of the measurer is performed.
Specifically, on the condition that the difference between the measured values of body weight and bioimpedance and the history value are both within a predetermined range, it is determined whether or not the measurement habits match, and the measurer's Recognize user number. As the degree of matching, the user number having the highest percentage of matching history is recognized as the user number of the measurer.
In the present embodiment, in addition to the conventional identification of the measurer based on the weight and the bioelectrical impedance, the measurer is further identified by including the degree of coincidence of the measurement habits, so that the measurer is more accurately recognized. be able to.

In this embodiment, as a measurement habit, the distinction of the foot on the side on which it was placed first at the time of measurement (right foot or left foot) is targeted, but other measurement habits can also be targeted.
For example, as a more detailed measurement habit, it is possible to set the order of getting on and off the feet when getting on (in addition to getting on the right foot and getting off on the left foot) in addition to the feet when getting on.
Furthermore, by distinguishing the toe side (front side) and the heel side (rear side) for each of the left and right feet, the place to be put on first, the order of putting on 4 places, and / or the order of taking it down shall be measurement habit information. Is also possible.
Although details will be described in the second embodiment, the measurement time can also be determined as a measurement habit.

  The measurement result storage control unit 26 is the user number of the measurer who has identified the current measurement result (including measurement habit information) and measurement time by the measurer identification unit 25 or the user of the measurer specified before the measurement. The user history 421 to 424 corresponding to the number is saved.

Next, the configuration of the measurement habit detection means will be described.
The biological information measuring device 1 uses measurement habit information as information for automatically recognizing a measurer in addition to weight and / or biological impedance. In the present embodiment, as measurement habit information, which foot has a habit of placing first in measurement, that is, the foot that has been put first is detected as measurement habit information and history-stored.
The measurement habit detecting means is configured by one or more of the weight sensor 15 and the A / D conversion unit 31, the measurement electrode 12 and the A / D conversion unit 32, and the push switch 16 together with the control unit 20.

FIG. 5 is a configuration diagram when the control unit 20, the weight sensor 15, and the A / D conversion unit 31 are caused to function as measurement habit detection means.
As shown in FIG. 5, the weight calculation unit 21 of the control unit 20 includes the left front weight value and the left rear weight value detected by the weight sensors 15Lf, 15Lb, 15Rf, and 15Rb via the A / D conversion unit 31. The right front weight value and the right rear weight value are supplied.
In the control unit 20, when the weight value is first supplied from the left weight sensor 15L (15Lf or 15Lb), the left foot is supplied first, and when the weight value is supplied first from the right weight sensor 15R (15Rf or 15Rb). Detects the right foot as measurement habit information.

Note that the weight sensor 15 measures the weight at a total of four locations on the left and right sides for weight calculation. Therefore, not only the left foot or the right foot is detected as measurement habit information, but also the first place on the left foot front side, the left foot rear side, the right foot front side, and the right foot rear side is detected as measurement habit information. You may do it. The first place is determined by the weight sensor 15 to which the weight value is first supplied.
Further, not only the first foot and the first place, but also the order in which the measurer places the front, rear, left and right four places on the biological information measuring device 1 is used as the measurement habit information and is supplied from each weight sensor 15. You may make it detect by the order of the weight value to be performed.
Moreover, not only the order of the foot and the part (part) on the side where the user first boarded the board, but also the leg to be lowered first when getting off the biological information measuring device 1, the separated part, and the order of separation are also measured. May be detected.
In this way, it is possible to detect the measurement habits in detail by detecting the front and rear, left and right places and order, as well as the feet, places and order when descending as measurement habit information, and it is possible to further improve the measurement accuracy of the measurer Become.

FIG. 6 is a configuration diagram when the control unit 20, the measurement electrode 12, and the A / D conversion unit 32 are caused to function as measurement habit detection means.
As shown in FIG. 6, the bioimpedance calculation unit 22 of the control unit 20 includes a left front and a left rear detected by the measurement electrodes 12Lf, 12Lb, 12Rf, and 12Rb via the A / D conversion unit 32. A resistance value a, a resistance value b between the left front and right front, a resistance value c between the left rear and right rear, and a resistance value d between the right front and right rear are supplied.
The control unit 20 places the left foot first when the resistance value a between the left front and left rear is supplied first, and puts the right foot first when the resistance value d between the right front and right rear is supplied first. It is detected as measurement habit information for the foot on the other side.

Note that the resistance values a to d are supplied from the A / D conversion unit 32 to the bioelectrical impedance calculation unit 22 based on the detection of each measurement electrode 12, so that the side first placed on the biometric information measurement device 1 Based on each of the above-described resistance values a to d, a set of places first placed on the left and right and front and rear sides may be used as measurement habit information. Furthermore, it is also possible to set the order of the set of places where the feet are placed as measurement custom information from the order in which the resistance values a to d are supplied.
Further, as in the case of the weight sensor 15, a pair of feet, foot portions, and the order of the pairs when getting off the biological information measuring device 1 may be added to or replaced with the measurement custom information.

FIG. 7 is a configuration diagram in the case where the control unit 20 and the push switch 16 function as measurement habit detecting means.
As shown in FIG. 7, the step-on signals detected by the left and right push switches 16 </ b> L and 16 </ b> R to detect the boarding of the measurer are supplied to the boarding / alighting determination unit 23 of the control unit 20 as a left-side value and a right-side value, respectively.
In the control unit 20, the foot on the push switch 16 side to which the step-on signal is first supplied is detected as measurement custom information for the foot on the side on which the step-on signal is first placed.

  As described above, the push switches 16 are arranged at four positions corresponding to the respective weight sensors 15, so that the four push switches 16Lf, 16Lb, From the order in which the step-on signals are supplied by 16Rf and 16Rb, the place to be placed first and the order of the left and right front and rear places (riding and getting off) may be used as the measurement custom information.

Next, the operation of the measurement process performed by the biological information measuring apparatus 1 configured as described above will be described.
FIG. 8 is a flowchart showing the entire measurement processing operation.
In response to the measurement person's operation, the control unit 20 switches the measurement mode (step 10). Measurement modes include an automatic recognition mode that automatically recognizes a measurer, a user-designated mode that performs measurement by designating a user, a guest mode that is measured by a measurer other than a registered user, a weight-only measurement mode that only measures body weight, etc. There are various measurement modes.
The measurement mode is selected by the measurer operating the operation unit 13, and the control unit 20 switches to the selected measurement mode.
Note that, when the measurement information is not selected by the measurer and gets on the biological information measuring apparatus 1, the control unit 20 selects the automatic recognition mode as the default mode.

The control unit 20 determines whether or not the switched measurement mode is the guest mode (step 11).
If it is the guest mode (step 11; Y), the control unit 20 acquires guest information (age, height, sex) input from the operation unit 13 by the measurer and stores it in the RAM (step 12).
In the guest information input operation by the measurer, the control unit 20 displays guidance of necessary input items on the display unit 11 and displays the input guest information.

  After the guest information is input or when the guest mode is not set (step 11; N), the control unit 20 performs weight measurement (step 13). That is, the control unit 20 calculates the weight of the measurer by summing the weight values supplied from the four weight sensors 15 via the A / D conversion unit 31.

And the control part 20 judges whether the weight measurement was completed (step 14).
When the measurement is not completed (step 14; N), the control unit 20 determines whether or not there is a measurement error (step 15). When it is a measurement error (step 15; Y), the control unit 20 displays an error in a predetermined area of the display unit 11 (step 16), and ends the process.
Here, as a case where the measurement error is determined, for example, there is a case where the measurer gets off after putting only one foot, and in this case, the control unit 20 is supplied with weight values from the four weight sensors 15. It is judged as a measurement error because the weight value has become zero before starting measurement.
On the other hand, if it is not a measurement error (step 15; N), the control unit 20 returns to step 13 and continues the measurement.

  Next, the control unit 20 determines whether or not the mode switched in step 10 is the weight only measurement mode (step 17). If the mode is the weight only measurement mode (step 17; Y), the control unit 20 performs the measurement. The weight is displayed on the display unit 11 (step 18), and the process is terminated.

In the case of only the body weight measurement mode (step; Y), the measured weight is stored as the measurement history for the designated or automatically recognized measurer (user) by displaying the measurement result and then moving to step 22. You may make it do.
When the measurement person is automatically recognized in the weight only measurement mode, the biometric impedance is removed from the determination target. For this reason, there is a possibility that the accuracy of automatic recognition is lowered. Therefore, whether or not the automatically recognized user is correct is always determined based on the confirmation display on the display unit 11 and the confirmation operation of the measurer. You may make it preserve | save as.

On the other hand, if the measurement mode is not the body weight only mode (Step 17; N), the control unit 20 measures the bioelectrical impedance (BI) (Step 19).
That is, the control unit 20 calculates the biometric impedance of the measurer from each resistance value supplied from the measurement electrode 12 via the A / D conversion unit 32.

And the control part 20 judges whether the measurement of bioelectrical impedance was completed (step 20).
When the measurement is not completed (step 20; N), the control unit 20 determines whether or not there is a measurement error (step 21). When it is a measurement error (step 21; Y), the control unit 20 proceeds to step 16 to display an error in a predetermined area of the display unit 11 and ends the process. The case where a measurement error is determined is the same as in the case of weight measurement.
On the other hand, if it is not a measurement error (step 21; N), the control unit 20 returns to step 19 and continues the measurement.

Next, the control unit 20 determines whether or not the mode switched in step 10 is the automatic recognition mode (step 22).
If it is not the automatic recognition mode (step 22; N), that is, if it is the user designation mode and the guest mode, the control unit 20 proceeds to step 26 because there is no need for automatic recognition.
On the other hand, when the automatic recognition mode is set (step 22; Y), the controller 20 performs a measurer identification process for automatically identifying the measurer using the measured weight, bioelectrical impedance, and measurement habit information (step). 23). Details of the measurer identification process will be described later.

After the identification of the measurer is completed, the control unit 20 performs a measurer confirmation process (step 24).
That is, the control unit 20 displays the user number corresponding to the automatically recognized measurer on the fifth display unit 115 (see FIG. 4) of the display unit 11. For the measurer confirmation, the displayed user number is confirmed, and if it is correct, the setting key 13d is pressed, and if it is wrong, the user number displayed by the upper key 13a or the lower key 13b is changed. The measurer is confirmed by pressing the setting key 13d later.
The control unit 20 determines the measurer from the user number displayed on the fifth display unit 115 when the measurer presses the setting key 13d.
Note that the control unit 20 displays the automatically identified measurer (user number) on the fifth display unit 115, and when the operation unit 13 is not operated within a predetermined time, and when the measurer performs the biological information measurement apparatus 1. When getting off, it is confirmed to the measurer of the displayed user number.

The control unit 20 determines whether the measurer is confirmed (step 25).
When the measurer is not fixed (step 25; N), that is, when the clear key 13c is pressed, the control unit 20 ends the process.
On the other hand, when the measurer is determined (step 25; Y) and in the user designation mode (step 22; N), the control unit 20 stores the current measurement result (step 26). That is, the control unit 20 stores the weight, bioimpedance, measurement date and time, and measurement habit information in the measurement result history data 42 corresponding to the determined user number of the measurer.

Further, in parallel with the storage of the measurement result, the control unit 20 displays the measurement result on the display unit 11 (step 27) and ends the process.
In the display of the measurement result, as illustrated in FIG. 4, the control unit 20 displays the measured body weight value on the first display unit 111, and the body fat percentage value calculated from the body weight, the bioimpedance, and the user information. The display unit 112 displays a level display of the body fat percentage on the third display unit 113.
The fourth display unit 114 displays the item names of items being displayed on the first display unit 111 and the second display unit 112, and the fifth display unit 115 displays the user number and gender of the confirmed measurer. Is displayed.
The second display unit 112 first displays the value of the body fat percentage, and thereafter, every predetermined time (2 seconds in the present embodiment), the body fat percentage, BMI, basal metabolism, skeletal muscle level, bone level, Visceral fat level, water content, body age, body fat percentage are displayed in order. As the second display unit 112 is switched, the level display of the third display unit 113 and the item name of the fourth display unit 114 are also switched and displayed.
The body composition such as the body fat percentage displayed on the second display unit 112 is calculated from the body weight, bioelectrical impedance, and basic information, and the level display of the third display unit 113 is obtained from the statistics of the display item. Calculated based on standard values.

Next, details of the measurer identification process (step 23) will be described.
In the measurer identification process of this embodiment, each element (weight, BI, measurement habit information) of the measurement result is compared with each history information of each registered user, and the degree of coincidence with each measurement history data is scored. The user who has the highest average score for each user is recognized by the measurer.
That is, the essential condition is that the difference between the measured weight and the weight of the history data is within a predetermined range, and that the difference between the measured BI and the BI of the history data is within a predetermined range (conventional condition), Furthermore, the determination condition is whether or not the current measurement habit information matches the measurement habit information of the history data. Then, a score n (n = 1 point in the present embodiment) is assigned to the history information that satisfies both essential conditions and satisfies the determination conditions.
Then, the total score and the average score for all the history data for each user are obtained, and the user with the highest average score is recognized as the current measurer.

A specific example will be described. Now, as a result of the measurement for the measurer, it is assumed that the body weight is 58.6 kg, the bioelectrical impedance (BI) is 525Ω, and the measurement habit information (the first foot of riding) is the left foot.
The essential conditions are that the weight difference is within ± 2 kg and the BI difference is within ± 100Ω.
In addition, the determination condition is whether or not the measurement habit information (legs at the start of riding) matches, and the case where the determination condition is satisfied is +1 point.

Therefore, the measurement history in which the body weight is in the range of 56.6 kg to 60.6 kg and the bioelectrical impedance is in the range of 425 Ω to 625 Ω satisfies the essential conditions.
Further, as measurement habit information, the score of the measurement history in which the first foot is the left foot is 1 point.

FIG. 9 shows essential conditions and determination conditions corresponding to each history data of each registered user 1 to 4.
FIGS. 9A to 9D correspond to the respective users 1 to 4 and represent history data (excluding measurement date and time) for each past measurement (history data) and determination contents.
As shown in FIG. 9, the case where the above-described essential conditions (weight, BI) are satisfied is indicated by ○, the case where it is not satisfied is indicated by ×, 1 point is displayed when the determination condition is satisfied, and 0 point is displayed when the determination condition is not satisfied. .
In addition, in FIG. 9, although the score according to the determination condition is described regardless of whether or not both essential conditions are satisfied (see (b)), the measurement person's identification process satisfies both essential conditions. Only the points in the measurement history are subject to addition.

When the total score (average score) of all history data satisfying two essential conditions is obtained for each user, the user 1 has 5 total scores, the average score is 1, and the user 2 has both the total score and average score. 0 points, user 3 has a total score of 3 points, an average score of 0.6 points, and user 4 has a total score of 0 points.
The average score here is an average score for the total history number data of the user. That is, the value excluding the total score is not the number of cases satisfying both essential conditions but the total number of history data.
From the above results, the user 1 (5 total points, 1 average point) having the highest total score (or average score) of all history data satisfying the essential conditions is identified as the current measurer.

As shown in FIG. 9, when the measurer is recognized only by whether the weight and BI are within a predetermined range as in the prior art, the user 1, the user 3, and the user 4 are candidates. One person cannot be specified. And when using the biological information measuring device 1 in a family, the weight and the bioelectrical impedance are not similar to each other, such as inability to distinguish between two children, or mother and adult daughter, father and adult son, etc. In some cases, the measurer cannot be recognized or cannot be accurately recognized.
On the other hand, according to the biological information measuring apparatus 1 of the present invention, the measurement habits stored in the past measurement history are detected by detecting and storing the measurement habits different for each measurer as measurement habits. Since the measurer is recognized based on whether or not they match, the measurer can be recognized more accurately.

FIG. 10 is a flowchart showing the measurer identification process.
The measurer identification process in FIG. 10 is a process for recognizing the measurer (user) based on the number of measurement history data satisfying the determination condition (matching measurement habit information) as well as the two essential conditions.

The meaning of each character used in the flowchart of FIG. 10 is as follows.
X: number of registered users N: number of measurement history of user X W: current measurement result (weight)
WH: Measurement history body weight by user X WR: Weight discrimination allowable weight I: Current measurement result (bioimpedance)
IH: Measurement history impedance of user X IR: Bioimpedance identification tolerance F: Current measurement result (measurement habit information)
FH: History measurement habit information of user X

The control unit 20 first obtains an identification allowable range and a score (step 30).
That is, the control unit 20 sets the body weight identification allowable weight (WR) to ± 2 g and the bioelectrical impedance identification allowable value (IR) to ± 100Ω. Further, as a determination condition, a case where the measurement habit information matches is defined as +1 point.

The control unit 20 repeats the first loop of steps 31 to 31-2 for the number of registered users (X). In the first loop, the control unit 20 repeats the evaluation score conversion process (steps 32-32-2) by the second loop by the number of measurement histories (N) of the registered user X as a target.
First, the control unit 20 determines whether or not the current measurement result (body weight) W is within the range of WH ± WR (kg) (step 33). That is, the control unit 20 reads the Nth measurement history of the user X from the measurement result history data 42 and subtracts the value obtained by adding the weight identification allowable weight WR to the measurement history body weight WH (WH ± WR (kg)). ) Is determined, and it is determined whether or not the current measurement result (body weight) W is within the range of both values obtained (within the allowable body weight range).

If the current measurement result (body weight) W is outside the weight tolerance range (step 33; N), the control unit 20 does not satisfy the essential condition, so that it is not subject to point addition and performs point determination for the next measurement history. .
On the other hand, if the weight is within the allowable range (step 33; Y), the control unit 20 determines whether or not the current measurement result (bioimpedance) I is within the range of IH ± IR (Ω) with respect to the measurement history. Is determined (step 34). That is, the control unit 20 subtracts the value obtained by adding the bioelectrical impedance identification allowable value IR to the measurement history impedance IH of the measurement history (Nth measurement history of the user X) in the loop target (IH ± IR (Ω )) Is determined, and it is determined whether or not the current measurement result (bioimpedance) I is within the range of both values obtained (within the allowable bioimpedance range).

In the present embodiment, the case where it is determined whether or not the current measurement result (body weight) W is within the range of WH ± WR (step 33) has been described. It may be determined whether or not the measurement result (body weight) W is within a range of both values (W ± WR) obtained by adding or subtracting the weight identification allowable weight WR.
Further, the difference between the current measurement result (body weight) W and the measurement history body weight WH by the user X may be calculated, and the determination may be made based on whether or not the absolute value of the difference is equal to or less than the weight identification allowable weight WR. .
Also, instead of storing the current measurement values W and I as measurement results in the measurement result history 42 as they are, the W ± WR values are stored, and the measurement values W are stored in the measurer recognition process on and after the next time. It may be determined whether or not it is within the range of the finished W ± WR.
The above determination can be similarly modified for the determination (step 34) as to whether or not the current measurement result (bioimpedance) I is within the range of I ± IR.

If the current measurement result (bioimpedance) I is outside the allowable range of bioimpedance (step 34; N), the control unit 20 does not satisfy the essential condition, and is determined not to be added, and is added for the next measurement history. I do.
On the other hand, when the bioelectrical impedance is within the allowable range (step 34; Y), since the measurement history satisfies both the essential conditions, the control unit 20 determines whether or not the measurement habit information matches ( Step 35). That is, the control unit 20 determines whether or not the current measurement result (measurement habit information) F matches the history measurement habit information FH of the user X in the measurement history.
Note that the current measurement result (measurement habit information) F and the history measurement habit information FH of the user X are detected by the configuration of any one of the measurement habit detection means described with reference to FIGS.

When the measurement habit information does not match (step 35; N), the control unit 20 makes a point determination for the next measurement history as a point not to be added.
On the other hand, when the measurement habit information matches (step 35; Y), the determination condition is satisfied together with both of the essential conditions, so the control unit 20 sets the measurement history (N) as a target to be added, and the user X's One point is added to the determination point (step 36).

  After the evaluation score conversion process in steps 33 to 36 is repeated by the number of measurement histories (N) for the user X, the control unit 20 calculates the average score of the user X (step 37). That is, the control unit 20 calculates the average score for the user X as the evaluation score by dividing the added point value obtained by the scoring processing for the user X by the number of measurement histories (N).

  Similarly, the control unit 20 calculates evaluation points (average points) for all users (steps 31 to 31-2), and whether there is a user who may be a measurer from the evaluation points of all users. Is determined (step 38). That is, when the average score of all users is 0, the control unit 20 determines that there is no registered user that may be a measurer (no corresponding user). In addition, you may make it judge that there is no applicable user, when the average score of all the users is below a predetermined reference point.

When there is no corresponding user (step 38; N), the control unit 20 determines that the current measurer is not a registered user but a guest (step 39), and returns to the main routine.
On the other hand, when there is a corresponding user (step 38; Y), the control unit 20 determines the user having the highest evaluation score (average score) as the current measurer (step 40), and returns to the main routine.

Next, a second embodiment will be described.
In the first embodiment described above, the registered user who has the highest proportion of measurement histories with the same measurement habit information is used as the measurement habit information by using the first foot (left and right) placed on the biological information measuring device 1 as the measurement habit information. The case of recognizing as a measurement measurer has been described.
In contrast, in the second embodiment, the measurement date and time (of which the measurement time) stored in the measurement result history is used as measurement habit information in addition to the foot on the side on which it is placed first, thereby automatically recognizing the measurer. Is a higher accuracy.
In the second embodiment, for example, when measuring in the morning, when measuring before going to bed, when measuring before taking a bath, when measuring in the daytime, etc., each registered user may measure at approximately the same time zone. It is based on the lifestyle habits of each person.
The configuration of the biological information measuring apparatus 1 according to the second embodiment is the same as that of the first embodiment.

FIG. 11 shows essential conditions and determination conditions corresponding to each history data of each registered user 1 to 4 in the second embodiment.
11 (a) to 11 (d) correspond to each of the users 1 to 4, and for each past measurement (history data), the history data including the measurement date and time, the measurement date and time, and the starting foot of the measurement habit information. Represents the determination contents.
In FIG. 11, as described with reference to FIG. 9, the case where the essential condition (weight, BI) is satisfied is represented by ◯, and the case where the essential condition is not satisfied is represented by ×, and the score for the determination condition is represented.

Indispensable conditions and determination conditions in the second embodiment are defined as follows.
That is, the essential condition is that the weight difference is within ± 2 kg and the BI difference is within ± 100Ω.
As a determination condition, +4 points are defined as measurement habit information when the feet at the start of riding match.
As the measurement date and time of the determination condition, +4 points when the time difference of the measurement time is within t1 = 0.25 hour (range of ± 0.25 hour), the time difference is within t2 = 0.5 hour (± 0.5). Time range) (excluding time difference within 0.25 hour) +2 points, time difference is within t3 = 1 hour (± 1 hour range) (excluding time difference 0.25 hour) plus +1 point It is prescribed.
As for the time difference between the measurement times, other points may be defined in accordance with the time difference between the current measurement time and the measurement time of the measurement history so that the point becomes larger as the time difference is smaller. As the time difference in this case, for example, other time differences such as t1 = 1 hour, t2 = 2 hours, t3 = 3 hours, etc. can be set.

Under this determination condition, in FIG. 11, as a result of measurement for the measurer, the body weight is 58.6 kg, the bioelectrical impedance (BI) is 525Ω, and the measurement date and time is 20:00 on March 09, 2014 as measurement habit information. For example, the determination result and the score for the essential condition, the determination condition are displayed, taking as an example the case where the first foot is the left foot for 35 minutes.
Therefore, in the example of FIG. 11, the measurement history in which the weight is in the range of 56.6 kg to 60.6 kg and the bioelectrical impedance is in the range of 425 Ω to 625 Ω satisfies the essential conditions.
In addition, as for the determination conditions, the measurement history in which the foot at the start of riding is the left foot is 4 points, while the measurement history from 20:20 to 20:50 is 4 points, and the measurement time is from 20:05. 2 points of measurement history that is 21:05 (excluding 20: 20-20: 50), and measurement time is 19: 35-21: 35 (excluding 20: 05-21: 05) The measurement history is 1 point.

Then, when the total score (average score) of all the history data satisfying the two essential conditions is obtained for each user, the total score of the user 1 is 32 points, the average score is 6.5 points, the user 2 is the total score, the average score Both points are 0 points, user 3 has a total score of 20 points, average score is 4.0 points, and user 4 has a total score of 11 points and an average score of 2.2 points.
From the above results, the user 1 (the total score of 32 points and the average score of 6.5 points) having the highest total score (or average score) of all the history data satisfying the essential conditions is identified as the current measurer. .

  As shown in FIG. 11, when only the foot at the start of riding described in the first embodiment is used as the determination condition, the score of the user 3 exceeds the user 1 and is erroneously recognized. By further considering the lifestyle of measurement date and time (time) as a condition, the measurer (user 1) can be more accurately identified.

FIG. 12 is a flowchart showing details of the measurer identification process in the second embodiment.
In FIG. 12, the same steps as those in the first embodiment described in FIG. 10 are denoted by the same step numbers, and the description thereof is omitted as appropriate.
Further, for each character used in FIG. 12, T represents the current measurement result (measurement time), TH represents the measurement history time of user X, and the other characters are the same as in FIG.

The control unit 20 first obtains an identification allowable range and a score (step 30). That is, the control unit 20 acquires the contents of the essential conditions defined for the second embodiment and the score of the determination conditions.
Then, the control unit 20 repeats the first loop of steps 31 to 31-2 for the number of registered users (X). In the first loop, the control unit 20 repeats the evaluation score conversion process (steps 32-32-2) by the second loop by the number of measurement histories (N) of the registered user X as a target.

As in the first embodiment, the control unit 20 determines whether or not both the current measurement result (body weight) W and the current measurement result (bioimpedance) I are within an allowable range (steps 33 and 34). .
When both the body weight and the bioelectrical impedance measured this time are within the allowable range (step 33; Y, step 34; Y), the control unit 20 calculates the current measurement result (measurement time) T and the measurement history time TH of the user X. The difference ΔT is obtained and the degree of the difference is determined (step 341).
The controller 20 adds 4 points if the calculated difference ΔT is within ± 15 minutes (step 342), adds 2 points if it is within ± 30 minutes (step 343), and if within ± 1 hour. One point is added (step 344).

  After the point addition processing based on the measurement time (steps 341 to 344), the control unit 20 determines whether or not the measurement habit information matches (step 35), and if it is constant (step 35; Y), Four points are added to the measurement history N of the user X (step 36).

After the evaluation score conversion process in steps 33 to 36 is repeated by the number of measurement histories (N) for the user X, the control unit 20 calculates the average score of the user X (step 37).
Similarly, the control unit 20 calculates evaluation points (average points) for all users (steps 31 to 31-2), and whether there is a user who may be a measurer from the evaluation points of all users. Judgment is made (step 38).

  If there is no corresponding user (step 38; N), the control unit 20 determines that the measurer is a guest (step 39), and if there is a corresponding user (step 38; Y), the user with the highest evaluation score (average score). Are determined to be the current measurer (step 40), and the process returns to the main routine.

  As described above, according to the first embodiment and the second embodiment, not only the history of body weight and bioelectrical impedance but also the measurement person is recognized including the measurement habits that are characteristic when the user measures. Therefore, the measurer can be recognized more accurately.

The embodiments of the present invention have been described above. However, the present invention is not limited to the described embodiments and the described modifications, and various modifications can be made within the scope described in each claim. .
For example, in the embodiment and modification described above, the measurement result history 42 stores the weight, bioimpedance (BI), and measurement date and time as measurement results, as shown in FIG. It is determined whether or not the essential condition is satisfied depending on whether or not the other value is included in the value obtained by adding the allowable value to any one of the above or whether the absolute value of the difference is equal to or smaller than the allowable value. Explained when to do.
As described above, the embodiment describes the case where the measurement value has a predetermined width. However, the history value is saved with a width (for example, 425Ω to 625Ω), and the measurement value is included in the history data. It may be determined whether or not there is.

FIG. 13 shows the stored contents of the measurement result history 42 in the modified example.
In this modification, as shown in FIG. 13, values obtained by adding allowable values ± WR and ± IR to the current measured values W and I are stored, and allowable time ± t1 hours (= 0.25 hours), ± t2 hours (= 0.5 hours), and ± t3 hours (= 1 hour).
As described above, the processing can be facilitated by storing the values obtained by adding or subtracting the allowable value and the allowable time in advance as the measurement history, instead of storing the value of the measurement value itself.
However, the value obtained by adding / subtracting the allowable time to / from the measurement time T is stored in the case of recognizing the measurer including the measurement time, corresponding to the second embodiment, and in the case of corresponding to the first embodiment. Stores the measurement time T itself.
In addition, when a measured value is required later, it can be easily known by obtaining a median value (average value) of both values obtained by addition and subtraction.

In the measurer identification processing of both embodiments described with reference to FIGS. 10 and 12, an average value of points for each measurement history for each user is calculated (step 37), and the user with the largest average value is recognized as the measurer. Explained the case.
On the other hand, when the number of measurement history data for each user is the same, the user having the largest total score may be recognized as the measurer.
Further, in the first embodiment, since the added points for each measurement history are binary values of 0 points and 1 point, a user having a large number of history data satisfying two essential conditions and having the same measurement habit information is defined as a measurer. You may make it recognize.

Further, in the measurer identification processing of both embodiments described above, the case where the measurer is recognized for all measurement history data for each user has been described.
On the other hand, the measurement history data measured within a predetermined period from the current measurement date (or measurement date) may be targeted. That is, an old history (for example, history data measured before m months from the current measurement) may be excluded.
By excluding old history data, recognition accuracy can be further improved.
In this case, since there is a high possibility that the number of histories measured within m months from the current measurement is different for each user, the user having the highest average score is recognized as the measurer, not the total score.

  Further, among the measurement history data of each user, the measurer may be recognized with respect to one history data measured (stored) last.

Further, in both of the embodiments described above, a case has been described in which a case where the determination condition for the foot placed on the tip of the measurement habit information is satisfied (when matching) is regarded as a point to be added.
On the other hand, the order in which the four places on the left and right sides are placed may be a measurement habit, and the score may be changed depending on the degree of order matching.
For example, the highest when the order of placement is the same (for example, 5 points), the highest when the first place is the same and the order is different (for example, 2 points), the highest The next highest point (for example, 1 point) may be used when the side legs match and the place or order is different, and the other points may be set as 0 points.
Even in the case of each of the above modifications, if the number of target historical data is the same, the user with the highest total score is recognized as a measurer, and the average is different when the number of historical data differs due to limitation of the target period, etc. The user with the highest score is recognized as the measurer.

  Further, in both of the described embodiments and modifications, the difference between the measured weight and the weight of the history data is within a predetermined range, and the difference between the measured BI and the history data BI is within the predetermined range. Although both of these are the essential conditions, only one of them may be the essential condition for comparison.

  In the second embodiment, the case where the previously placed foot and the measurement time are used as the measurement habit information has been described. However, only the measurement time is detected and stored as the measurement habit information, and the essential condition and the measurement time (determination condition). From the above, the measurer may be recognized.

In step 40, there may be a plurality of registered users who have the highest evaluation score (total score, average score> 0 points).
In such a case, a user whose evaluation on the measurement history of bioelectrical impedance is closest to the current measurement value is recognized as a measurer. Specifically, the measurer is authorized by any one of the following methods (a) to (c).
As described above, when the measurer cannot be identified only by the highest score, the measurer is certified using the bioimpedance instead of the body weight among the essential conditions for the following reason. That is, while the weight varies greatly in the short-term depending on conditions such as the timing of measurement before and after meals and the presence or absence of overdrinking, the bioimpedance is a value that hardly changes depending on such conditions. .

(A) Among essential conditions, a registered user who has the largest number of measurement histories that does not satisfy the allowable range of weight but satisfies the allowable range of bioelectrical impedance is certified as a measurer.
(B) Among the essential conditions, the weight (acceptable range) is not satisfied, but the biometric impedance has the highest evaluation score (total score, average score) when a measurement history satisfying the acceptable range is added to the determination condition. Authorize registered users as measurers.
(C) The registered user having the smallest difference (absolute value) between the biometric impedance of the measurement history and the bioimpedance measured this time for each user is certified as a measurer.
In addition, about the recognition by (c), you may make it perform when it cannot authenticate by (a) and (b).

DESCRIPTION OF SYMBOLS 1 Biological information measuring device 10 Apparatus main body 11 Display part 12 Measuring electrode 13 Operation part 13a Up key 13b Down key 13c Clear key 13d Setting key 14 Power switch 15 Weight sensor 16 Push switch 31, 32 A / D conversion part 33 Date / time information Measuring unit 34 Communication unit 35 Audio output unit 40 Non-volatile memory

Claims (4)

A weight measuring means for measuring the weight of the measurer;
Bioimpedance measuring means for measuring the bioimpedance of the measurer;
Measurement time detection means for detecting the measurement time measured by the measurer ;
User registration means for registering the user of the measurer;
An allowable range based on the subtracted value obtained by adding and subtracting an allowable value to the measured value of the measured body weight , and an allowable range based on the subtracted value obtained by adding and subtracting the allowable value to the measured value of the measured bioimpedance , and at least one, and the tolerance by subtracting the time obtained by subtracting a sum time obtained by adding the allowable time to the detected measurement time, measurement history storage means for storing as the measurement history for each user with,
By comparing at least one of the measured current weight and bioelectrical impedance, and the detected current measurement time, and each allowable range in the measurement history for each user stored in the measurement history storage unit, User recognition means for recognizing
A biological information measuring device comprising: The user registration means stores gender, age identification information, height as basic information for each user,
Body composition calculating means for calculating the body composition of the user from the measured weight and bioelectrical impedance and the stored basic information corresponding to the recognized user;
Output means for outputting the measured body weight and the calculated body composition or bioelectrical impedance;
The biological information measuring device according to claim 1, further comprising:   The user recognition means has at least one of the currently measured weight and the currently measured bioimpedance within the permissible range corresponding to the measurement history, and the current measurement time is within the permissible range of the measurement history. An evaluation score is given to the measurement history in the above, and the total score of the evaluation scores for each user's measurement history or the user with the highest average score is recognized as a measurer.
The living body information measuring device according to claim 1 or 2 characterized by things.   A calculation means for obtaining a median value of an addition value and a subtraction value of each allowable range in the measurement history as weight, bioelectrical impedance, and measurement time with respect to the measurement history;
The biological information measuring device according to claim 1, 2, or 3.

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