JP6711124B2 - Energy consumption calculation device and activity meter - Google Patents

Description

The present invention relates to a technique for calculating energy consumption of a user.

An apparatus that detects a body motion by an acceleration sensor and calculates and records the amount of exercise and the amount of energy consumed has been put into practical use. This type of device is called a pedometer or an activity meter (generally referred to as an "activity meter" in this specification).

The amount of energy consumed by a person in one day is roughly classified into three main categories: basal metabolic rate, active metabolic rate, and diet-induced thermogenesis. Basal Metabolic (BM) is energy that is consumed to maintain body temperature and vital activities such as breathing, and active metabolic rate is consumed by physical activities such as daily activities and exercise. It is the energy that is consumed. Further, diet-induced thermogenesis (DIT) means energy consumed by digestive and absorption activities after ingesting a meal.

In the conventional activity meter, a method of estimating the basal metabolic rate from information such as the user's age, sex, height, and weight, and estimating the metabolic rate from physical activity information detected by the acceleration sensor is widely used. .. On the other hand, diet-induced thermogenesis is generally estimated from the basal metabolic rate or the total value of the basal metabolic rate and the active metabolic rate. For example, in Patent Document 1, the amount of energy due to diet-induced heat production is obtained by multiplying the total value of basal metabolic rate and active metabolic rate by a coefficient of 0.11.

JP, 2013-85643, A

By the way, recent studies have revealed that the way of eating (feeding behavior) can influence the diet-induced thermogenesis. Specifically, it was reported that chewing slowly and well rather than urgently increases food-induced thermogenesis, and that eating three meals in the morning and afternoon at an appropriate time produces food-induced thermogenesis. Is reported to increase. There is also a report that diet-induced heat production increases when proper exercise is performed before eating.

However, in the conventional activity meter, since the effect of the above-mentioned eating behavior on the diet-induced thermogenesis is not considered at all, the calculated total energy consumption is larger than the actual energy consumption. Or, there was a possibility that it would be underestimated. Further, even if the user himself tries to improve his dietary habits or is advised to improve his dietary habits through health guidance, etc., there has been conventionally no means for confirming the effect (increased energy consumption) of the dietary habits. Therefore, it is difficult to maintain and improve the motivation of the user.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of accurately calculating the energy consumption of a user in consideration of how the user eats.

In order to achieve the above object, the present invention adopts the following configurations.

An energy consumption calculation device according to the present invention includes an activity information acquisition unit that acquires information on a physical activity performed by a user, a meal information acquisition unit that acquires information about a meal time taken by the user, and at least the physical activity. And a consumption energy calculation unit that calculates the total consumption energy consumed by the user in one day using the information regarding the meal time and the information regarding the meal time.

According to this configuration, it is possible to calculate the total energy consumption in consideration of the user's way of eating (eating behavior) by using the information about the meal time consumed by the user, and thus the total energy consumption can be calculated as compared with the conventional method. It becomes possible to calculate the consumed energy with high accuracy.

From the basal metabolic rate of the user, the activity metabolic rate calculated using the information of the physical activity, and the diet-induced thermogenesis calculated using the information on the meal time. The total energy consumption of the user may be calculated.

The total energy consumption of human beings is mainly composed of three factors, basal metabolism, active metabolism and diet-induced thermogenesis, of which the active metabolism depends on physical activity and diet-induced thermogenesis is the dietary intake. It may increase or decrease depending on the person (feeding behavior). Therefore, the amount of energy actually consumed by the user can be accurately calculated by calculating the amount of active metabolism using the information on physical activity and calculating the diet-induced heat production using the information on meal time. It will be possible.

The energy consumption calculation unit determines whether or not the eating behavior of the user is appropriate based on the information regarding the meal time, and the diet-induced heat production when the eating behavior of the user is not appropriate. The value may be smaller than the value of diet-induced thermogenesis when the eating behavior of the user is appropriate.

In this way, by estimating the influence of the way of eating (feeding behavior) on the diet-induced heat production, the total energy consumption of the user can be accurately calculated. In the present invention, the “how to eat (eating behavior)” refers to the situation or condition when the user eats a meal, particularly the situation or condition in terms of time. For example, the time spent for a meal (the length of time from the start to the end of the meal), the time when the meal is taken, the timing of the meal and exercise, and the like can be mentioned.

The heavier the user, the more the difference between the value of diet-induced thermogenesis when the eating behavior of the user is not appropriate and the value of the diet-induced thermogenesis when the eating behavior of the user is appropriate. It should be big. It is considered that the heavier the body weight, the larger the diet-induced thermogenesis, and therefore the magnitude of the effect (decrease) of the diet-induced thermogenesis when the eating behavior is not appropriate is more significant with the heavier the body weight. is there.

The information on the meal time includes information on the length of time the user has had a meal, and the energy consumption calculation unit has a time shorter than a predetermined length on the meal based on the information on the meal time. It is determined whether or not the time of the meal is shorter than the predetermined length, and the value of the food-induced thermogenesis is reduced as compared with the case where the time of the meal is longer than the predetermined length. Good.

Even if the meals have the same content, the energy consumption due to the diet-induced heat production differs depending on the length of the meal. For example, it has been reported that diet-induced thermogenesis is increased when eating slowly rather than when eating quickly. It is considered that this is because when chewing slowly, chewing increases and digestive and absorption activities increase. According to the present invention, by evaluating whether or not a meal is taken for a long time, it becomes possible to more accurately estimate the meal-induced heat production due to the meal than in the past.

The information on the meal time includes information on the time when the user has eaten the meal, and the energy consumption calculation unit deviates from the predetermined time zone based on the information on the meal time. If the time of ingesting the meal deviates from the predetermined time zone, compared to the case where the time of ingesting the meal is included in the predetermined time zone, It is advisable to reduce the value of induced heat production.

Even if the meals have the same contents, the energy consumption due to the diet-induced heat production will be different when the meals are taken at different times. For example, comparing a person who has a lifestyle that eats morning and daytime meals in a standard time zone with a person who has a nighttime lifestyle that skips the morning and eats dinner, the latter is more provocative than the former. There is also a report that sex heat production is reduced. According to the present invention, by evaluating whether or not the time at which a meal is taken is appropriate, it becomes possible to more accurately estimate the meal-induced heat production due to the meal than in the past.

The information about the meal time includes information about the time when the user took a meal, and the energy consumption calculation unit took the meal based on the information about the physical activity and the information about the meal time. It is determined whether or not the user was exercising within a predetermined time before time, and if the user was exercising within the predetermined time, the user within the predetermined time Higher values of diet-induced thermogenesis are better than those without exercise.

Exercise before meals increases meal-induced thermogenesis, even with the same diet. For example, some reports recommend that proper exercise be performed 20 to 30 minutes before meals. According to the present invention, by assessing whether or not exercise was performed before meals by referring to information on physical activity, it is possible to more accurately estimate meal-induced heat production due to the meal than before. Become.

The present invention can be understood as an energy consumption calculation device having at least a part of the above-mentioned configurations and functions. Further, the present invention can be understood as an activity meter including an acceleration sensor and a consumed energy calculation device. Further, the present invention can be grasped as a consumed energy calculation method including at least a part of the above processing. Further, the present invention provides a program for causing a computer (processor) to function as each component of the energy consumption calculation device, or a program for causing a computer (processor) to execute each step of the energy consumption calculation method, or It can also be regarded as a computer-readable recording medium that non-temporarily records such a program. The above configurations and processes can be combined with each other to configure the present invention as long as no technical contradiction occurs.

According to the present invention, it is possible to accurately calculate the energy consumption of a user in consideration of how the user eats.

FIG. 1 is a block diagram showing an internal configuration of an activity meter. FIG. 2 is a block diagram showing the functional configuration of the energy consumption calculation device. FIG. 3 is a main flow of a method of calculating energy consumption with DIT correction. FIG. 4 is a flow of DIT correction in consideration of meal speed. FIG. 5 is a flow of DIT correction in consideration of meal time. FIG. 6 is a flow of DIT correction in consideration of pre-meal exercise. FIG. 7 is a diagram showing a modified example of the energy consumption calculation device.

Preferred embodiments of the present invention will be described below with reference to the drawings. However, the description of each configuration described below is to be appropriately changed depending on the configuration of the device to which the invention is applied and various conditions, and is not intended to limit the scope of the invention to the following description. Absent.

<First Embodiment>
(Structure of activity meter)
FIG. 1 is a block diagram showing an internal configuration of an activity meter. The activity meter 1 is a device that calculates and records a user's exercise amount and energy consumption amount, and includes a control unit 10, an operation unit 11, an I/F (Interface) 12, an acceleration sensor 13, a memory 14, a display unit 15, and a power supply. 16 and so on.

The control unit 10 is an arithmetic processing circuit configured by a processor such as a CPU, an MPU, or an FPGA, and controls each unit of the activity meter 1 according to a program stored in the memory 14 or the memory in the control unit 10. Detection of body movements, discrimination of types of physical activity, calculation/recording of exercise amount and exercise intensity, recording of meal information, calculation/recording of energy consumption (calorie consumption), display of various information, operation unit 11 and I/F 12 It is responsible for the input and output of the specified information. Details of the function of the control unit 10 will be described later.

The operation unit 11 is an input interface for the user to power on the activity meter 1, perform various operations, input information, and the like, and is configured by, for example, a button switch or a touch panel. The operation unit 11 also performs operations such as user registration, input of user information (including attribute information such as sex and age, and physique information such as height and weight) and input of meal information. The I/F 12 is an external interface for transmitting/receiving data to/from an external device such as a body composition monitor, a personal computer, or a smartphone by wireless communication or wired communication. The memory 14 is a non-volatile storage unit that stores steps, exercise amount, exercise intensity, diet information, energy consumption, etc., user information, programs, and various data used by the programs. The display unit 15 is a display unit composed of an LCD (liquid crystal display) or the like, and can output information such as exercise amount, exercise intensity, and energy consumption, and can display an input screen for user information and meal information.

The acceleration sensor 13 is a detection means for detecting body movement. A uniaxial acceleration sensor may be used, or a multiaxial acceleration sensor may be used. As the acceleration sensor 13, a sensor of any principle such as a capacitance type sensor or a piezoelectric type sensor can be used.

The raw signal output from the acceleration sensor 13 contains a low frequency component corresponding to a change in gravitational acceleration (static acceleration). Therefore, it is advisable to remove the low-frequency component using a high-pass filter and extract only the component of the dynamic acceleration due to body movement (walking or running). By using such an output signal, it is possible to accurately discriminate the body movement and accurately calculate the amount of exercise and the exercise intensity. If a sensor of the type that detects only changes in dynamic acceleration is used, the configuration like the above-described high-pass filter is unnecessary.

The activity meter 1 can be configured by a single device, or can be implemented as a function of another information device (for example, a smartphone, smart watch, life logger, etc.). The appearance of the activity meter 1 may be any form as long as it can be easily carried by the user. For example, a type to be put in a pocket or a bag, a type to be fastened to clothes with a clip, a wristwatch type, a glasses type, etc. can be exemplified.

(Function configuration)
FIG. 2 is a block diagram showing the functional configuration of the energy consumption calculation device. The energy consumption calculation device has an activity information acquisition unit 20, a meal information acquisition unit 21, and an energy consumption calculation unit 22 as main functions. In the present embodiment, the control unit 10 executes the program and cooperates with each unit of the activity meter 1 to realize each function of the energy consumption calculation device.

The activity information acquisition unit 20 has a function of acquiring information on physical activity performed by the user based on the output of the acceleration sensor 13. For example, the activity information acquisition unit 20 uses a representative value (average, average deviation, maximum value, intermediate value, etc.) of dynamic acceleration for each predetermined unit period (for example, every several seconds to several tens of seconds) based on the output data of the acceleration sensor 13. ) Is calculated, and the acceleration value is converted into exercise intensity (METs) using a function or a look-up table (LUT). The exercise intensity data for each unit period calculated by the activity information acquisition unit 20 is recorded in the memory 14 together with the date and time information. The function and the LUT are designed in advance by using the data of the subject experiment or the like. The function or LUT used for the calculation may be changed or corrected depending on the user's attribute or physique.

The meal information acquisition unit 21 has a function of acquiring information (referred to as meal information) regarding the time of the meal the user has ingested. As the meal information, information on the length of time spent on the meal, information on the time when the meal is taken, and the like may be acquired. The meal information acquisition unit 21 of the present embodiment displays an input guide such as “Please input the time when you ate a meal” and “Please input the time you ate a meal” on the display unit 15, and operated. Input of meal information is received from the user via the unit 11. The inputted meal information is recorded in the memory 14.

The method of acquiring meal information is not limited to the method described here, and any method may be used. For example, the meal time and the time spent for the meal may be recorded by pressing the buttons of the operation unit 11 at the start and the end of the meal, or the start and end of the meal may be performed by using voice input or another sensor. May be detected automatically. As a method of automatically detecting with a sensor, for example, a method of detecting whether or not a person is eating by detecting the movement of the hand (reciprocating motion between the table and the mouth) with an acceleration sensor attached to the wrist, A method of detecting a potential change due to mastication with a myoelectric sensor attached, a method of detecting a change in outer ear shape due to mastication with a sensor attached to an ear, and the like can be considered.

The consumed energy calculation unit 22 has a function of calculating total consumed energy (total consumed calories) consumed by the user in one day. The energy consumption calculation unit 22 of the present embodiment sums up three of the basal metabolic rate BM, the active metabolic rate AM, and the diet-induced heat production DIT by using the formula (1) to obtain the total energy consumption TE[kcal ]] is asked.

TE=BM+AM+DIT Formula (1)

The energy consumption calculation unit 22 estimates the basal metabolic rate BM based on information such as age, sex, height, and weight of the user. A publicly known method can be used for the estimation formula of the basal metabolic rate, and thus a detailed description thereof will be omitted. In addition, the energy consumption calculation unit 22 estimates the activity metabolism amount AM based on the physical activity information (exercise intensity data) recorded in the memory 14. A well-known method can be used also for the estimation formula of the active metabolism amount, and therefore a detailed description is omitted here.

Diet-induced thermogenesis DIT is generally said to be 10 to 20% of the basal metabolic rate. Therefore, the energy consumption calculation unit 22 multiplies the basal metabolic rate BM estimated from the user information by a predetermined coefficient c (0.1 in this embodiment), as shown in Expression (2), to obtain the diet-induced heat. Calculate the DIT produced.

DIT=c×BM Formula (2)

However, the equation (2) is an estimation equation assuming that the user eats slowly and often by chewing, and if the user eats quickly, the estimation error of the DIT becomes large in the equation (2). Therefore, the energy consumption calculation unit 22 of the present embodiment determines whether or not the eating behavior (here, the eating speed) of the user is appropriate based on the meal information, and when the eating behavior is not appropriate (when eating The DIT is corrected so that the DIT value when the eating time is too short) is smaller than the DIT value when the eating behavior is appropriate (when the eating time is sufficient). The details will be described below.

(Calculation method of energy consumption considering meal speed)
FIG. 3 is a flowchart showing an example of a method of calculating energy consumption with the DIT correction introduced. The process of FIG. 3 is a process that is executed once a day (24 hours) in a batch at a predetermined time.

First, the energy consumption calculation unit 22 calculates the basal metabolic rate BM for one day using the user information (step S30), and calculates the active metabolic rate AM using the information of the physical activity for one day (step S30). Step S31). Further, the consumed energy calculation unit 22 calculates the default value of the diet-induced heat production DIT from the basal metabolic rate BM obtained in step S30 and the equation (2) (step S32). Next, the energy consumption calculation unit 22 corrects the DIT in consideration of the meal speed based on the meal information (step S33). Detailed processing contents will be described with reference to FIG. After that, the energy consumption calculation unit 22 calculates the total energy consumption TE consumed by the user per day from the basal metabolic rate BM, the active metabolic rate AM, the diet-induced heat production DIT and the formula (1) (step S34). ).

FIG. 4 shows details of the DIT correction considering the meal speed in step S33. The energy consumption calculation unit 22 refers to the meal information recorded in the memory 14 and determines whether the time from the start to the end of breakfast is shorter than a predetermined length (the threshold is set to 20 minutes in this embodiment). Evaluate (step S400). If it takes 20 minutes or more for breakfast, it is determined that the feeding type is "Slow" (that is, appropriate) (step S401), and the DIT is not corrected (step S402). In this case, DIT remains the default value obtained by the equation (2). On the other hand, when the time spent for breakfast is shorter than 20 minutes, it is determined that the eating type is “Fast” (that is, not appropriate) (step S403), and the correction of reducing the DIT value is performed (step S404). In the present embodiment, the energy of 0.173 kcal per 1 kg of body weight is subtracted from the value of DIT as shown in equation (3). The operation symbol “←” represents substitution.

Corrected DIT←DIT-0.173 [kcal]×weight [kg] Formula (3)

Similarly, the energy consumption calculation unit 22 evaluates the time spent for lunch (step S410). If the lunch takes 20 minutes or more, the DIT is not corrected (steps S411 and S412), and if the time spent for lunch is shorter than 20 minutes, the DIT is corrected by the equation (3) (steps S413 and S414). Similarly, the energy consumption calculation unit 22 evaluates the time spent for dinner (step S420). If the dinner takes 20 minutes or more, the DIT is not corrected (steps S421 and S422), and if the dinner takes less than 20 minutes, the DIT is corrected by the equation (3) (steps S423 and S424).

The value of DIT that has undergone the above processing is used for the calculation of total energy consumption in step S34 of FIG. According to this embodiment, it is possible to estimate whether or not the user spends a long time on a meal and correct the value of the diet-induced heat production DIT when necessary, so that the total energy consumption of the user can be estimated more accurately than before. It becomes possible to do.

The processing flow, the arithmetic expression, the coefficient, and the threshold value described in the present embodiment are examples, and may be appropriately changed according to the device configuration and the like. For example, although an example of batch processing is shown in FIGS. 3 and 4, DIT and energy consumption calculation processing may be performed in real time each time a meal is performed. Further, the threshold value for evaluating the time spent on a meal need not be 20 minutes, and the threshold value may be different for breakfast, lunch, and dinner. Further, in the present embodiment, the evaluation is performed in two stages of Slow and Fast, but the evaluation may be performed in three or more stages. Further, the DIT may be corrected by a correction formula other than the formula (3). For example, a fixed value or fixed ratio may be subtracted from the DIT before correction without considering the weight of the user.

<Second Embodiment>
Even if the meals have the same contents, the energy consumption due to the diet-induced thermogenesis differs when the meal ingestion time (meal time) is different. For example, comparing a person who has a dietary habit of eating morning and daytime in the standard time zone with a person who has a nighttime diet that skips the morning and eats the evening meal, the latter is more provocative than the former. There is also a report that sex heat production is reduced. Therefore, in the present embodiment, whether or not the meal time of the user is appropriate is evaluated based on the meal information, and the value of DIT when the meal time is not appropriate is more than the value of DIT when the meal time is appropriate. The DIT is corrected so as to make it smaller.

(Calculation method of energy consumption considering meal time)
With reference to FIG. 5, the DIT correction process which is a feature of this embodiment in consideration of meal time will be described. The configuration of the activity meter (FIGS. 1 and 2) and the main flow of the method of calculating the consumed energy (FIG. 3) are the same as those of the first embodiment, and therefore the description thereof will be omitted.

The energy consumption calculation part 22 refers to the meal information for one day (for the past 24 hours) recorded in the memory 14 to see if there is a record of eating a meal between 05:00 and 09:00 (step S500). ), whether there is a record of eating a meal between 11:00 and 15:00 (step S501), and whether there is a record of eating a meal between 17:00 and 20:00 (step S502). .. When all the determinations in steps S500 to S502 are affirmative, it is determined that the user's eating type is "morning" (step S503), and the DIT is not corrected (step S504). The morning type is a dietary habit in which three meals in the morning and afternoon are regularly taken at appropriate times.

On the other hand, if a negative determination is made in any of steps S500 to S502, it is determined that the user's eating type is "night type" (step S505), and correction is performed to reduce the value of DIT (step S506). .. The evening type is a eating habit in which three meals in the morning and afternoon are not taken at appropriate times. For example, if breakfast is skipped, dinner is late, or dinner is eaten, it is classified as a night type. In the present embodiment, as shown in Expression (4), correction is performed by subtracting 0.224 kcal of energy per kg of body weight from the value of DIT.

Corrected DIT←DIT-0.224 [kcal]×weight [kg] Formula (4)

The value of DIT that has undergone the above processing is used for the calculation of total energy consumption in step S34 of FIG. According to the present embodiment, it is possible to evaluate whether or not the time when the user has eaten a meal is appropriate, and correct the value of the diet-induced heat production DIT when necessary, so that the total energy consumption of the user is more accurate than before. It is possible to estimate.

The processing flow, the arithmetic expression, the coefficient, and the threshold value described in the present embodiment are examples, and may be appropriately changed according to the device configuration and the like. For example, although FIG. 5 shows an example of batch processing, DIT and energy consumption calculation processing may be performed in real time every meal. The times of day and night are not limited to the example shown in FIG. 5, and may be changed as appropriate. Also, the interval between breakfast and lunch, the interval between lunch and dinner, etc. may be added to the evaluation. Further, the DIT may be corrected by a correction formula other than the formula (4). For example, a fixed value or fixed ratio may be subtracted from the DIT before correction without considering the weight of the user.

<Third Embodiment>
Exercise before meals increases meal-induced thermogenesis, even with the same diet. For example, some reports recommend that proper exercise be performed 20 to 30 minutes before meals. Therefore, in the present embodiment, by referring to the physical activity information and the meal information, it is evaluated whether or not the exercise is performed before the meal, and the DIT value when the appropriate exercise is performed before the meal is performed. The DIT is corrected so as to be larger than the DIT value when not.

(Calculation method of energy consumption considering pre-meal exercise)
With reference to FIG. 6, the DIT correction process which is a feature of the present embodiment and which takes into account the pre-meal exercise will be described. The configuration of the activity meter (FIGS. 1 and 2) and the main flow of the method of calculating the consumed energy (FIG. 3) are the same as those of the first embodiment, and therefore the description thereof will be omitted.

First, the energy consumption calculation unit 22 refers to the meal information and the exercise intensity information recorded in the memory 14 and determines whether or not the user has been exercising within a predetermined time before eating (step S600). In the present embodiment, when the physical activity having the exercise intensity of 3 METs or more is recorded between 20 minutes and 30 minutes before the time when the meal is taken (YES in step S600), the feeding type of the user is " It is determined that it is "Active (with exercise before meal)" (step S601), and correction is performed to increase the value of DIT (step S602). In the present embodiment, as shown in Expression (5), correction is performed to add the energy of 0.2 kcal per 1 kg of body weight to the value of DIT.

Corrected DIT←DIT+0.2 [kcal]×weight [kg] Formula (5)

On the other hand, when the physical activity having the exercise intensity of 3 METs or more is not recorded between 20 minutes and 30 minutes before the time when the meal is ingested (NO in step S600), the eating type of the user is “Rest. (No exercise before meal)” is determined (step S603), and DIT is not corrected (step S604).

The value of DIT that has undergone the above processing is used for the calculation of total energy consumption in step S34 of FIG. According to the present embodiment, it is possible to evaluate whether the user has performed proper exercise before eating and correct the value of the diet-induced heat production DIT when necessary, so that the total energy consumption of the user is more accurate than before. It is possible to make a good estimate.

The processing flow, the arithmetic expression, the coefficient, and the threshold value described in the present embodiment are examples, and may be appropriately changed according to the device configuration and the like. For example, FIG. 6 shows an example of batch processing, but DIT and energy consumption calculation processing may be performed in real time every meal. Further, in the present embodiment, the evaluation is performed in two stages of whether or not the activity of 3 METs or more is performed, but the evaluation may be performed in three or more stages according to the exercise intensity or the exercise amount. Further, the DIT may be corrected by a correction formula other than the formula (5). For example, a fixed value or a fixed ratio may be added to the DIT before correction without considering the weight of the user.

<Other embodiments>
The configurations of the above-described embodiments are merely specific examples of the present invention. The scope of the present invention is not limited to the above-described embodiment, and various modifications can be made within the scope of the technical idea. For example, the processes of the first to third embodiments may be combined arbitrarily.

In the above embodiment, the energy consumption calculation device is implemented as one function of the activity meter 1. However, as shown in FIG. 7, the energy consumption calculation device is separate from the activity meter 1 and the acceleration sensor 13. It may be configured by a device. FIG. 7 is an example in which the energy consumption calculation device is configured by a smartphone. In this configuration, output data of the acceleration sensor (information on physical activity) is input to the smartphone by wired communication or wireless communication, and calculation of energy consumption is executed by an application of the smartphone. With this configuration, it is possible to record/manage data on the smartphone and share the data using the communication function. In addition, in the present embodiment, a smartphone has been described as an example, but in addition, a mobile PC (Personal Computer), a tablet PC, a wearable terminal, a PDA (Perso).
The energy consumption calculation device can be configured by any information device including a computer (processor) such as a digital assistant (nal digital assistant) and a mobile phone.

1: Activity meter 10: Control unit, 11: Operation unit, 12: I/F, 13: Acceleration sensor, 14: Memory, 15: Display unit, 16: Power supply 20: Activity information acquisition unit, 21: Meal information acquisition Part, 22: Energy consumption calculation part

Claims (8)

An activity information acquisition unit that acquires information on physical activity performed by the user,
A meal information acquisition unit that acquires information about the time of the meal that the user has ingested,
The physical activity information is used to calculate an active metabolic rate, the user's basal metabolic rate and information regarding the meal time are used to calculate diet-induced heat production, and the basal metabolic rate and the active metabolic rate are calculated. An energy consumption calculation unit that calculates the total energy consumption that the user has consumed in a day from the diet-induced heat production ,
An energy consumption calculation device characterized by having. The energy consumption calculation unit determines whether or not the eating behavior of the user is appropriate based on the information regarding the meal time, and the diet-induced heat production when the eating behavior of the user is not appropriate. The energy consumption calculation device according to claim 1 , wherein the value is set to be smaller than the value of diet-induced heat production when the eating behavior of the user is appropriate. The heavier the user, the more the difference between the value of diet-induced thermogenesis when the eating behavior of the user is not appropriate and the value of the diet-induced thermogenesis when the eating behavior of the user is appropriate. The energy consumption calculation device according to claim 2 , wherein the energy consumption calculation device is large. The information on the meal time includes information on the length of time the user has eaten,
The energy consumption calculation unit determines whether the time spent on the meal is shorter than a predetermined length based on the information about the meal time, and when the time spent on the meal is shorter than the predetermined length, said time being subjected to diet compared with a case longer than the predetermined length, the energy consumption calculation device according to any one of claims 1 to 3, characterized in that to reduce the value of dietary-induced heat production .. The information regarding the meal time includes information on the time when the user took a meal,
The energy consumption calculation unit determines whether the time of ingesting the meal is out of a predetermined time zone based on the information about the time of the meal, and the time of ingesting the meal is from the predetermined time zone. If you are out, the meal in comparison with the case where ingested time is included in zone the predetermined time, of the claims 1 to 4, characterized in that reducing the value of dietary-induced heat production The energy consumption calculation device according to any one of claims. The information regarding the meal time includes information on the time when the user took a meal,
The energy consumption calculation unit, based on the information on the physical activity and the information on the meal time, whether the user was exercising within a predetermined time before the time when the meal was ingested. Judging and increasing the value of diet-induced heat production when the user is exercising within the predetermined time period as compared to when the user is not exercising within the predetermined time period. consumption energy calculation device according to any one of claims 1 to 5, wherein the. An acceleration sensor,
The energy consumption calculation device according to any one of claims 1 to 7 ,
An activity meter, wherein the activity information acquisition unit of the energy consumption calculation device acquires information on a physical activity performed by a user based on the output of the acceleration sensor. Computer, activity information acquiring unit energy consumption calculation device according to any one of claims 1-6, dietary information acquisition unit, and a program for functioning as energy consumption calculation unit.

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