JP2019013731A - Consumption energy amount calculation method and monitoring system - Google Patents

Abstract

To provide a system capable of calculating a consumption energy amount for cycling movement.SOLUTION: A system 1 having a consumption energy monitoring unit 20 for calculating the amount of consumption energy of a person subject to measurement is provided. The consumption energy monitoring unit includes a first unit 22a for estimating a first consumption energy amount when the person subject to measurement travels by a bicycle, by the following expressions (2)-(5): eVOC=c1 VM+c2 Hu+c3 Hd (2); 0.048≤c1≤0.210 (3); 0.463≤c2≤2.605 (4); and 0.020≤c3≤0.602 (5).SELECTED DRAWING: Figure 1

Description

  The present invention relates to an energy consumption calculation method and a monitoring device.

Patent Document 1 discloses a calorie consumption calculation method that can easily and accurately calculate calorie consumption during exercise with a change in altitude of a subject with a single calculation formula without requiring an exercise form and a plurality of calculation formulas. Proposed. Specifically, it is described that calorie consumption Cal at the time of exercise of the subject is calculated by the following equation (1) based on outputs of a triaxial acceleration sensor and an atmospheric pressure sensor attached to the subject.
Cal = W · (k1 · Itotal + k2 · (Ha + k6) + k3 · (Hd + k7) + k4) · k5
... (1)
Where W is the subject's body weight, Itotal is the cumulative acceleration, Ha is the acquired increase, Hd is the acquired decrease, k1 is a coefficient for converting the cumulative acceleration into the oxygen intake, and k2 is the oxygen intake correction by the acquired increase , K3 is a coefficient for correcting oxygen intake by the amount of decrease in acquisition, k4 is oxygen intake at rest, k5 is a calorie conversion coefficient for converting oxygen intake into calories, and k6 is an increase in acquisition And k7 is a coefficient for correcting the amount of decrease in acquisition.

JP 2008-220517 A

  There is a demand for determining the amount of energy consumed in cycling exercises.

One aspect of the present invention is a method including a first step of estimating a first energy consumption amount when a measurement subject is moving on a bicycle. The first step includes the following steps.
1. Cumulative acceleration (vector norm) VM per unit time measured by a three-axis acceleration sensor that measures the measurement subject's acceleration, the amount of increase (velocity increase) Hu per unit time, and the unit time of the measurement subject Estimating the oxygen consumption eVO ₂ C during movement by bicycle according to the following formulas (2) to (5) including the percentage descent amount (decrease speed) Hd.
2. A first energy consumption amount is obtained based on the estimated oxygen consumption amount eVO ₂ C.
eVO ₂ C = c1 · VM + c2 · Hu + c3 · Hd (2)
0.048 ≦ c1 ≦ 0.210 (3)
0.463 ≦ c2 ≦ 2.605 (4)
0.020 ≦ c3 ≦ 0.602 (5)
In equations (2) to (5), the unit of oxygen consumption eVO ₂ C is ml / kg / min, the unit of cumulative acceleration VM is G / min, the unit of increase Hu is m / min, and the amount of decrease Hd. The unit is m / min, the unit of coefficient c1 is ml / kg / G, and the unit of coefficients c2 and c3 is ml / kg / m.

  The lower limit of the condition (3) may be 0.075 or 0.102. The upper limit of condition (3) may be 0.183 or 0.156. The lower limit of condition (4) may be 0.820 or 1.177. The upper limit of the condition (4) may be 2.248 or 1.891. Further, the lower limit of the condition (5) may be 0.117 or 0.214. The upper limit of condition (5) may be 0.505 or 0.408.

  In recent years, young people and older generations are increasingly interested in cycling exercises for the purpose of improving their health, and the method of the present invention makes it possible to estimate the energy consumption during cycling outdoors including slopes.

The above step 2 for obtaining the first consumed energy amount includes obtaining the consumed energy amount CAL per unit time by the following equation (6) including the oxygen consumed amount eVO ₂ C and the weight W of the measurement subject. But you can.
CAL = k1 · W · eVO ₂ C (6)
However, the unit of energy consumption CAL is kcal / min, the unit of weight W is kg, and the unit of calorie conversion coefficient k1 is kcal / ml. An example of the calorie conversion coefficient k1 is 4.825.

The method may further include a second step of estimating a second energy consumption amount that the measurement subject is moving on foot. This second step may include the following steps.
3. Estimating the oxygen consumption amount eVO ₂ W during walking from the following equations (7) to (10) including the cumulative acceleration VM, the increase amount Hu, and the decrease amount Hd.
4). A second energy consumption amount is obtained based on the estimated oxygen consumption amount eVO ₂ W.
eVO ₂ W = w1 · VM + w2 · Hu + w3 · Hd (7)
0.022 ≦ w1 ≦ 0.070 (8)
0.770 ≦ w2 ≦ 1.886 (9)
0.098 ≦ w3 ≦ 1.082 (10)
However, the unit of the coefficient w1 is ml / kg / G, and the units of the coefficients w2 and w3 are ml / kg / m.

The lower limit of condition (8) may be 0.030 or 0.038. The upper limit of condition (8) may be 0.062 or 0.054. The lower limit of the condition (9) may be 0.956 or 1.142. The upper limit of condition (9) may be 1.700 or 1.514. The lower limit of condition (10) may be 0.262 or 0.426. The upper limit of condition (10) may be 0.918 or 0.754. In the above step 4, it is possible to obtain the energy consumption by using the EVO ₂ W instead of EVO ₂ C in equation (6).

Another aspect of the present invention is a first sensor that measures a cumulative acceleration VM per unit time measured by a three-axis acceleration sensor that measures a measurement person's acceleration, and a displacement of the measurement person's altitude. An energy consumption monitoring unit for determining the energy consumption amount of the subject based on the measurement data including the increase amount Hu per unit time of the subject and the decrease amount Hd per unit time of the subject measured by It is a system that has. The energy consumption monitoring unit includes a first unit that estimates a first energy consumption amount that the measurement subject is moving on a bicycle, and the first unit moves on a bicycle according to the above formulas (2) to (5). A unit for estimating the oxygen consumption eVO ₂ C in the medium. The consumption energy monitoring unit may include a unit for obtaining the consumption energy amount CAL per unit time according to the above equation (6).

The energy consumption monitoring unit may include a second unit that estimates a second energy consumption amount that the measurement subject is moving on foot, and the second unit is calculated from the above formulas (7) to (10). May include a unit that estimates the oxygen consumption eVO ₂ W during walking.

  This system may be a system connected to the cloud having an interface for receiving measurement data from a user terminal including a three-axis acceleration sensor and a first sensor. The system may be a user terminal having a triaxial acceleration sensor and a first sensor. One embodiment of the present invention may be a mobile terminal equipped with the system described above. Another aspect of the present invention is a program having instructions for causing a computer to function as the system described above.

The block diagram which shows the outline | summary of a system. The figure which shows the correlation of the oxygen consumption measured in the horizontal ground cycling test, and vector norm VM. The figure which shows the information of a to-be-measured person. The figure which shows a measurement protocol. The figure which shows the various numerical values measured in the slope cycling test. The figure which shows the information of a to-be-measured person. The figure which shows a measurement protocol. The figure which shows an example of the measured value. The figure which shows the correlation with the actual value of the oxygen consumption measured in verification measurement, and an estimated value. The figure which shows a Bland-Altman analysis result. The figure which shows the information of a to-be-measured person. The figure which shows a measurement protocol. The figure which shows an example of the measured value. The flowchart which shows the outline | summary of the process in a monitoring unit.

  FIG. 1 shows an outline of an example of a system for monitoring human activities. This system (monitoring system) 1 includes a portable or wearable terminal (user terminal) 10 worn by a user (measured person, subject) 2 and a terminal 10 via a cloud 9 such as a computer network such as the Internet. And a connected server system 50. Although the system for monitoring the amount of activity can be provided only by the terminal 10, in this example, data is accumulated in the server system 50 via the cloud 9, and later, in more detail or by an updated method. The present invention will be described based on the system 1 to be analyzed. An example of the terminal 10 is a smart phone or a portable terminal that can be worn on the body of the user 2 and may be mounted on the bicycle 3 while moving on the bicycle 3. The terminal 10 may be a wristwatch-type or glasses-type wearable terminal.

  The terminal 10 includes a sensor group 11, a processor 12 including a function for processing data obtained from the sensor group 11, a user interface 13 that performs input / output, and communication that can be connected to the cloud 9 via a mobile phone network or the like. A unit 14 and a memory 15 are included. The sensor group 11 includes, but is not limited to, a three-axis acceleration sensor 11a, an altimeter 11b, a pulse meter 11c, and a thermometer 11d. An example of the sensor (first sensor) 11b for measuring the altitude is a barometer. In this example, not the absolute value of the altitude but a relative altitude displacement (altitude change) associated with movement can be accurately measured. A sensor is preferred.

The processor 12 provides various functions by expanding an application (software, a program including an instruction for executing processing described below) 15 a downloaded to the memory 15. One of the functions provided by the processor 12 is an activity amount (consumption energy amount) monitoring function (consumption energy monitoring unit) 20. The monitoring unit (monitor) 20 includes a measurement unit 26 that acquires predetermined measurement data from the sensor group 11, and the type of activity of the user 2, for example, walking, cycling (moving on a bicycle), private vehicle Alternatively, an activity type determination unit 21 that determines whether the vehicle is moving or taking a break in other transportation, and an oxygen consumption amount estimation unit (VO2 unit) that estimates the oxygen consumption amount eVO ₂ by a predetermined estimation formula based on the activity type. ) 22, an energy consumption estimation unit (CAL unit) 23 for obtaining an energy consumption using the estimated oxygen consumption, and measurement data 29 including an estimation value and a sensor measurement value used for estimation, The unit 24 provided to the server system 50 via the communication unit 14 and the required energy consumption and the like are used. And an output unit 25 provided to the user 2 via the user interface 13.

The VO2 unit 22 uses the oxygen consumption estimation formula (2) set for cycling when it is determined that the activity mode (movement mode) is moving (cycling) on a bicycle. Oxygen consumption per unit time during walking using the first unit 22a for determining the oxygen consumption amount eVO ₂ C of the child and the estimation formula (7) of the oxygen consumption amount set for walking when it is determined to be walking And a _second unit 22b for determining the quantity eVO ₂ W. Respective estimation equations and parameters are as shown in the above equations (2) to (5) and (7) to (10).

  The CAL unit 23 calculates energy consumption during cycling and walking as needed using the equation (6) including the oxygen consumption determined by the VO2 unit 22. Further, the determined energy consumption is provided to the user 2 by the output unit 25 via the user interface 13. The output unit 25 may provide biological information such as a pulse and a body temperature measured by another sensor to the user 2 via the user interface 13 simultaneously or in parallel.

  The server system 50 that can communicate with the terminal 10 via the cloud 9 includes an interface 51 that receives the measurement data 29 via the cloud 9, a database 52 that stores the measurement data 29 and the like, information provided from the terminal 10, For example, a unit 54 that monitors the activity of the user 2 based on the measurement data 29 and a service provider (advisor) unit 53 that advises the user 2 on the activity policy based on the processing results of the measurement data 29 and the monitoring unit 54 Including.

The monitoring unit 54 includes a unit 55 that monitors the amount of energy consumed. The energy consumption monitor 55 includes an activity type determination unit 56, an oxygen consumption amount estimation unit (VO2 unit) 57 that estimates the oxygen consumption amount eVO ₂ by a predetermined estimation formula based on the activity type, and an estimated oxygen consumption amount. An energy consumption amount estimation unit (CAL unit) 58 that uses the energy consumption amount to obtain the energy consumption amount and an output unit 59 that supplies the obtained energy consumption amount to the terminal 10 of the user 2 are included. The VO2 unit 57 includes a first unit 57a for obtaining an oxygen consumption amount eVO ₂ C per unit time during cycling using the equation (2), and an oxygen consumption per unit time during walking using the equation (7). A second unit 57b for determining the quantity eVO ₂ W. Respective estimation formulas and parameters used in the VO2 unit 57 are as shown in the above formulas (2) to (5) and (7) to (10). When the processing capability of the terminal 10 of the user 2 is low, the output unit 59 obtains the energy consumption based on the measurement data 29 received via the interface 51 and includes the data of the acceleration sensor 11a and the altitude sensor 11b, and the output unit 59 Is provided to the terminal 10 via the terminal 2 so that the user 2 can confirm.

  The advisor unit (advisor) 53 refers to the history of energy consumption 52a of each user periodically stored in the database, and advises the difference between the schedule planned by each user 2 and the energy consumption, This includes functions such as providing alarms for excessive or insufficient energy consumption and providing advice on living and activity environments.

The monitoring units 20 and 55 employed in the system 1 are devices having a new function for estimating the oxygen consumption eVO ₂ C during cycling in a slope using an accelerometer 11a and an altimeter (barometer) 11b. is there. In recent years, young people and older generations have become increasingly interested in cycling exercises for the purpose of improving their health, and it has been desired to provide a device for estimating energy consumption during cycling in the outdoors including slopes. The inventors of the present application have proposed a calorimeter that estimates energy consumption during inclined walking, and the following equation (11) is used to estimate the oxygen consumption per unit time necessary for calculating energy consumption. ).
VO ₂ = a · VM + b · Hu + c · Hd (11)
VO ₂ is the oxygen consumption per unit time / unit weight (ml / kg / min), and VM is the vector norm of the triaxial acceleration sensor, that is, the accumulated acceleration per unit time (G / Min, G is gravitational acceleration), Hu is the amount of increase per unit time (increase speed, m / min), and Hd is the amount of decrease per unit time (downward speed, m / min). When the barometer is used, the ascending speed and the descending speed H (the ascending amount and the descending amount per unit time) can be obtained using the following equation (12).
H = 18410 (1 + 0.003661 · tv) {log (P1) −log (P2)}
(12)
P1 and P2 are atmospheric pressures (hPa) at points before and after movement measured at 1 minute intervals, and tv is an average temperature (° C.) during measurement.

When the moving speed and the gradient are known, the ascending speed and the descending speed H may be obtained by the following equation (13).
H = ν · sin {tan ⁻¹ (s / 100)} (13)
ν is the velocity (m / min), and s is the gradient (%).

The inventors obtained the values of the coefficients a, b and c in the above equation (11) as follows. First, measurements were taken on flat ground. In this measurement, the oxygen consumption VO ₂ using a portable breath gas analyzer (Metamax 3B, Cortex (Leipzig)) and the vector norm (cumulative acceleration) VM using an accelerometer are measured to obtain the coefficient a. It was. Specifically, 5 adult males and 2 adult females (29-57 years old) performed a 5-minute cycling test at a speed of 5, 10, 15, 25 km / h on a flat ground (bicycle circuit). The oxygen consumption VO ₂ and the vector norm VM were measured. The result is shown in FIG. FIG. 3 shows information on seven persons to be measured, and FIG. 4 shows a protocol for this measurement.

FIG. 2 shows the relationship between the oxygen consumption VO _{2 in} the final 3 minutes and the vector norm VM in each horizontal cycling test. By this measurement, the correlation coefficient r is 0.972, the risk factor P is 0.0001 or less, and the average value of the coefficient a is 0.129 (± standard deviation (SD) 0.027, ml / kg / G). I was asked.

Next, measurements were taken on slopes. In this measurement, the oxygen consumption VO ₂ using a portable breath gas analyzer when moving on a slope by bicycle and the vector norm VM using an accelerometer were measured, and the coefficients b and c were obtained. Specifically, eight adult males and one adult female (aged 25-57 years old) performed cycling tests twice on a slope with each person subjectively at a fast speed and a slow speed. VO ₂ and vector norm VM were measured. The slope conditions are a horizontal distance of 1150m and an altitude difference of 62m. The test protocol is a first phase 111 with a 5-minute break at the highest altitude, a second phase 112 with a bicycle down to the lowest altitude, In Phase 113, we took a break for 5 minutes at the lowest altitude, and in the fourth phase 114, we went to the highest altitude and climbed by bicycle. The result is shown in FIG. FIG. 6 shows information on nine persons to be measured, FIG. 7 shows a protocol for the main measurement, and FIG. 8 shows an example of measurement values measured in the main test.

Specifically, after a 5-minute break (first phase 111), the subject went down the slope by bicycle (second phase 112), and after a 5-minute break (third phase 113), climbed the slope by bicycle. (Fourth phase 114). In the first test, the pedal was slowly pedaled on the uphill, and in the second test, the pedal was pedaled at a high speed on the uphill. During this cycling, the oxygen consumption VO ₂ and the vector norm VM were measured as in the horizontal cycling test, and the pulse rate HR (beats / min) was further measured. Altitude displacement during cycling was measured by changing the barometric pressure on the barometer.

  As shown in FIG. 5, the average value of the coefficient b when rising is 1.534 (± standard deviation (SD) 0.357, ml / kg / m), and the average value of the coefficient c when falling is 0.311. (± standard deviation (SD) 0.097, ml / kg / m).

Furthermore, a verification measurement was performed. In this measurement, an outdoor course including horizontal and tilt is moved by bicycle, and oxygen consumption VO ₂ using a portable breath gas analyzer, vector norm VM using an accelerometer, and altitude displacement are measured. The estimated value of oxygen consumption was compared with the measured value. The estimated value used the following formula | equation (14) using the coefficient a, b, and c calculated | required from said result.
eVO ₂ = 0.129VM + 1.534Hu + 0.311Hd (14)

Specifically, 5 adult males and 2 adult females (28-57 years old) cycling (testing) on an outdoor course with a horizontal distance of 2,500 m and an altitude difference of 15 m, and going up and down. the consumption VO _2, and the vector norm VM, and a high displacement at which increase amount Hu and descent amount (drop) Hd were measured. FIG. 9 shows the relationship between the measured value of the oxygen consumption and the estimated value using the equation (14), and FIG. 10 shows the result of the Bland-Altman analysis. In addition, FIG. 11 shows information of seven persons to be measured (subjects), FIG. 12 shows the altitude difference of the outdoor course used for the main measurement, and FIG. 13 shows an example of the measured values measured in the main test. Yes. After the person to be measured who break over 5 minutes to a bicycle, then paddled for about 15 minutes pedal outdoors course, measured oxygen consumption VO ₂ therebetween, and the vector norm VM, high displacement Hu and Hd (atmospheric pressure variation And pulse (heart rate) HR.

  FIG. 9 is a scatter diagram. As shown in the figure, the oxygen consumption amount obtained from the actual value (shown on the horizontal axis) of the oxygen consumption amount by expiration gas analysis and the formula (14) obtained by the verification test. The estimated value (shown on the vertical axis) is a high correlation with a correlation coefficient r of 0.923, a risk factor P of 0.0001 or less, and a slope of the regression line shown by a solid line of 0.994. In FIG. 9, the identity line is indicated by a broken line. The Bland-Altman analysis of FIG. 10 shows the correlation between the difference between the estimated value of the oxygen consumption shown on the vertical axis and the measured value and the average value of the estimated value of the oxygen consumption shown on the horizontal axis and the measured value. The 95% confidence interval (± 2SD, SD: standard deviation) indicated by a broken line above and below the average error indicated by the solid line includes most measurement points. Therefore, it can be seen that also in this analysis, the estimated value of the oxygen consumption amount and the actually measured value show a high correlation.

From the above, as an equation for obtaining the estimated value eVO ₂ C of oxygen consumption during cycling (when traveling by bicycle), using the coefficients a, b and c obtained above, the equation (2 )It was set.
eVO ₂ C = c1 · VM + c2 · Hu + c3 · Hd (2)
The coefficient c1 is preferably 0.129 ± 3SD, may be 0.129 ± 2SD, or 0.129 ± 1SD based on the coefficient a obtained above. The standard deviation SD of the coefficient c1 (coefficient a) is 0.027. The coefficient c2 is preferably 1.534 ± 3SD, more preferably 1.534 ± 2SD, or 1.534 ± 1SD based on the coefficient b obtained above. The standard deviation SD of the coefficient c2 (coefficient b) is 0.357. The coefficient c3 is preferably 0.311 ± 3SD, may be 0.311 ± 2SD, or 0.311 ± 1SD from the coefficient c obtained above. The standard deviation SD of the coefficient c3 (coefficient c) is 0.097.

  In FIG. 14, the outline | summary of the process in the monitoring unit 20 is shown with the flowchart. In step 71, the measurement unit 26 acquires measurement data 29 including the output of the triaxial acceleration sensor 11a and the output of the altimeter 11b, for example, the barometer, every unit time, in this example, every minute. In step 72, the activity form determination unit 21 determines the activity form of the user 2, for example, the movement form. In this example, it is determined whether the user 2 is walking or cycling. As a method for determining the movement form, for example, the inventors of the present application use the output value and ratio data of the three-axis acceleration sensor 11a disclosed in Japanese Patent Application Laid-Open No. 2011-30603 (Japanese Patent No. 5330143). A method of judging can be adopted.

When it is determined that the user 2 is cycling (moving on a bicycle), a process (first step) for estimating an energy consumption (first energy consumption) during cycling (moving on a bicycle) is performed. . In this example, in step 73, the oxygen consumption amount estimation unit 22 obtains the oxygen consumption amount eVO ₂ C per unit time during cycling from the equation (2) by the first unit 22a.

On the other hand, when it is determined that the user 2 is walking, a process (second step) for estimating an energy consumption amount (second energy consumption amount) while walking (moving on foot) is performed. In this example, in step 74, the oxygen consumption estimation unit 22 uses the second unit 22b to estimate oxygen consumption per unit time during walking using the oxygen consumption estimation formula (7) set for walking. The consumption eVO ₂ W is obtained. Regarding the estimation formula (7) for obtaining the estimated value eVO ₂ W of the oxygen consumption during walking, “Yamazaki T, Gen-no H, Kamijo Y, Okazaki K, Masuki S, and Nose H. A new device to estimate VO2 during incline walking by accelerometry and barometry. Med Sci Sports Exerc, 41: 2213-2219, 2009 ”. In this document, the average value of the coefficient a is 0.044, the average value of the coefficient b is 1.365, and the average value of the coefficient c is 0.553. According to the latest measurement results of the inventors, the coefficient a The average value is 0.046 (± standard deviation SD0.008), the average value of coefficient b is 1.328 (± SD 0.186), and the average value of coefficient c is 0.590 (± SD 0.164). Therefore, in step 74, the following estimation formula (7) is used.
eVO ₂ W = w1 · VM + w2 · Hu + w3 · Hd (7)
The coefficient w1 is preferably 0.046 ± 3SD from the coefficient a obtained above, may be 0.046 ± 2SD, or may be 0.046 ± 1SD. The coefficient w2 is preferably 1.328 ± 3SD, preferably 1.328 ± 2SD, or 1.328 ± 1SD from the coefficient b obtained above. The coefficient w3 is preferably 0.590 ± 3SD from the coefficient c obtained above, may be 0.590 ± 2SD, or may be 0.590 ± 1SD.

When the oxygen consumption amount is obtained, in step 75, the energy consumption amount estimation unit 23 obtains the consumed energy amount CAL by the following estimation formula (6).
CAL = k1 · W · eVO ₂ C (6)
As the weight W, a value stored in advance in the memory 15 by the user via the monitoring unit 20 can be used. As an example of the calorie conversion coefficient k1, 4.825 may be used as a value assuming 50% sugar, 50% lipid, and 0% protein. The determined energy consumption CAL may be optionally provided to the user 2 via the output unit 25 in step 76 or may be provided to the server system 50 via the cloud 9.

  As described above, in the monitoring system 1 of the present invention, it is possible to accurately estimate the oxygen consumption amount during cycling exercise on an outdoor road including a slope, and the user can obtain the energy consumption amount with high accuracy. Can be provided. Further, based on the obtained energy consumption, it is possible to provide a service that leads to maintaining and promoting the health of the user.

1 Monitoring system

Claims (10)

A method having a first step of estimating a first energy consumption amount when a measurement subject is moving on a bicycle,
In the first step, the accumulated acceleration VM per unit time measured by a three-axis acceleration sensor that measures the acceleration of the measurement subject, the amount of increase Hu per unit time of the measurement subject, and the measurement subject's Estimating the oxygen consumption eVO ₂ C while traveling by bicycle according to the following formula including the descending amount Hd per unit time;
Determining the first energy consumption based on the estimated oxygen consumption eVO ₂ C.
eVO ₂ C = c1 · VM + c2 · Hu + c3 · Hd
0.048 ≦ c1 ≦ 0.210
0.463 ≦ c2 ≦ 2.605
0.020 ≦ c3 ≦ 0.602
However, the unit of the oxygen consumption amount eVO ₂ C is ml / kg / min, the unit of the cumulative acceleration VM is G / min, the unit of the increase amount Hu is m / min, and the unit of the decrease amount Hd is m / min. The unit of min, the coefficient c1 is ml / kg / G, and the units of the coefficients c2 and c3 are ml / kg / m. In claim 1,
Determining the first consumed energy amount includes obtaining a consumed energy amount CAL per unit time according to the following formula including the oxygen consumed amount eVO ₂ C and the weight W of the measurement subject.
CAL = k1 ・ W ・ eVO ₂ C
However, the unit of the energy consumption CAL is kcal / min, the unit of the weight W is kg, and the unit of the calorie conversion coefficient k1 is kcal / ml. In claim 1 or 2, further
A second step of estimating a second energy consumption amount when the measurement subject is moving on foot;
The second step includes estimating the oxygen consumption amount eVO ₂ W during walking by the following equation including the cumulative acceleration VM, the increase amount Hu, and the decrease amount Hd:
Determining the _second energy consumption based on the estimated oxygen consumption eVO ₂ W.
eVO ₂ W = w1 ・ VM + w2 ・ Hu + w3 ・ Hd
0.022 ≦ w1 ≦ 0.070
0.770 ≦ w2 ≦ 1.886
0.098 ≦ w3 ≦ 1.082
However, the unit of the coefficient w1 is ml / kg / G, and the units of the coefficients w2 and w3 are ml / kg / m. Cumulative acceleration VM per unit time measured by a three-axis acceleration sensor that measures the measurement subject's acceleration, and the unit of the measurement subject measured by a first sensor that measures the altitude displacement of the measurement subject. A system having an energy consumption monitoring unit for obtaining an amount of energy consumed by the measurement subject based on measurement data including an increase amount Hu per time and a decrease amount Hd per unit time of the measurement subject,
The energy consumption monitoring unit includes a first unit that estimates a first energy consumption amount when the measurement subject is moving on a bicycle.
The first unit includes a cumulative acceleration VM per unit time measured by a three-axis acceleration sensor that measures acceleration of the measurement subject, an amount of increase Hu per unit time of the measurement subject, and a measurement result of the measurement subject. A system including a unit that estimates an oxygen consumption amount eVO ₂ C while traveling by bicycle according to the following formula including a descending amount Hd per unit time.
eVO ₂ C = c1 · VM + c2 · Hu + c3 · Hd
0.048 ≦ c1 ≦ 0.210
0.463 ≦ c2 ≦ 2.605
0.020 ≦ c3 ≦ 0.602
However, the unit of the oxygen consumption amount eVO ₂ C is ml / kg / min, the unit of the cumulative acceleration VM is G / min, the unit of the increase amount Hu is m / min, and the unit of the decrease amount Hd is m / min. The unit of min, the coefficient c1 is ml / kg / G, and the units of the coefficients c2 and c3 are ml / kg / m. In claim 4, further:
The energy consumption monitoring unit includes a unit for obtaining an energy consumption amount CAL per unit time according to the following formula including the oxygen consumption amount eVO ₂ C and the weight W of the measurement subject.
CAL = k1 ・ W ・ eVO ₂ C
However, the unit of the energy consumption CAL is kcal / min, the unit of the weight W is kg, and the unit of the calorie conversion coefficient k1 is kcal / ml. In claim 4 or 5, further
The energy consumption monitoring unit includes a second unit that estimates a second energy consumption amount that the measurement subject is moving on foot,
The second unit includes a unit that estimates an oxygen consumption amount eVO ₂ W during walking by the following expression including the cumulative acceleration VM, the increase amount Hu, and the decrease amount Hd.
eVO ₂ W = w1 ・ VM + w2 ・ Hu + w3 ・ Hd
0.022 ≦ w1 ≦ 0.070
0.770 ≦ w2 ≦ 1.886
0.098 ≦ w3 ≦ 1.082
However, the unit of the coefficient w1 is ml / kg / G, and the units of the coefficients w2 and w3 are ml / kg / m. In any of claims 4 to 6, further
A system comprising an interface for receiving the measurement data from a user terminal including the three-axis acceleration sensor and the first sensor. In any of claims 4 to 6, further
A system comprising the triaxial acceleration sensor and the first sensor.   A portable terminal equipped with the system according to claim 4.   A program having instructions for causing a computer to function as the system according to claim 4.

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