WO2007138822A1 - Exercise plan proposing device - Google Patents

Abstract

Provided is an exercise plan proposing device for supporting improvements in the values of biological information on the health of a living body, by exercises. The exercise plan proposing device is constituted to comprise exercise plan creating means for calculating the exercise intensity and the exercise time, as needed for achieving an improvement target of the biological information, on the basis of an exercise executing period set and the improvement target, and exercise plan output means for presenting the exercise intensity and the exercise time calculated, to the user. This constitution can propose a more precise and effective exercise plan for achieving the improvement target.

Description

 Specification

 Exercise plan proposal device

 Technical field

 [0001] The present invention relates to a technique for generating and proposing an exercise plan for health promotion.

 Background art

 The following are known as techniques for supporting exercise planning and health management.

[0003] (1) Entering gender, age, body fat percentage, body weight, and target body fat percentage into a computer device, and selecting the type of aerobic exercise, aerobic exercise required to achieve the target body fat percentage An exercise planning system that calculates and displays the number of times (see Patent Document 1).

 [0004] (2) By inputting biological information such as the body weight and body fat percentage of the subject, and setting the target value for health management, the degree of achievement of health management with respect to the target value is scored. A health management device that records scoring results as history data (see Patent Document 2).

 [0005] (3) Calculate an index representing the degree of health of the person who wants to care from the vital data from the vital sensors (body weight, body fat scale, pedometer, etc.), the test result by the medical institution, and personal information, together with the index Health management system that returns information necessary for health promotion (see Patent Document 3) Patent Document 1: JP 2002-279075 A

 Patent Document 2: JP 2003-288417 A

 Patent Document 3: Japanese Patent Laid-Open No. 2002-56099

 Disclosure of the invention

 Problems to be solved by the invention

[0006] In the above prior art, as the exercise plan, "the number of exercises" such as the number of aerobic exercises and the target number of steps is presented. However, even with the same type of exercise, energy consumption varies from person to person, depending on the manner and pace of the exercise. For example, even in the same walking, the exercise load changes depending on the speed and stride, and also changes depending on gender, age, and body type. Therefore, simply presenting the number of exercises as in the past would cause a large variation in the actual effect of the exercises. [0007] 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 proposing a more accurate and effective exercise plan for achieving an improvement target. It is in.

 [0008] A further object of the present invention is to provide a technique capable of proposing a more accurate and effective operation plan that matches the characteristics of individual users.

 Means for solving the problem

In order to achieve the above object, the present invention employs the following configuration.

[0010] The exercise plan proposing device according to the present invention is an exercise plan proposing device for supporting improvement of the value of the biological information by movement with respect to biological information related to the health of the living body. Based on the period and the improvement target of the biological information, an exercise plan generation means for calculating exercise intensity and exercise time necessary to achieve the improvement target, and presents the calculated exercise intensity and exercise time to the user And an exercise plan output means.

 [0011] Biological information related to the health of a living body refers to information that can be used to determine the degree of health among information that can be measured from a living body. For example, body composition values (specifically, body fat percentage, body fat Volume, visceral fat percentage, visceral fat mass, subcutaneous fat percentage, subcutaneous fat mass, muscle percentage, muscle mass, etc.), waist diameter, body weight, blood pressure level, blood glucose level, blood lipid level, basal metabolic rate, etc. In this way, there are many types of biological information, but the motion plan proposing device does not need to correspond to all biological information, and only needs to correspond to at least one type of biological information. Les.

[0012] According to the configuration of the present invention, an exercise plan for achieving the improvement target is presented with the information "exercise intensity and exercise time". Therefore, the user can easily understand how much load exercise should be performed and for how long. In addition, if exercise is performed according to the proposed exercise intensity and exercise time, an almost constant exercise effect can be obtained. In other words, the present invention can propose an exercise plan that is more accurate and effective than the prior art.

[0013] The exercise intensity is preferably metabolic equivalents (METs). Metabolic equivalents (METs) are units that represent how many times the oxygen uptake during exercise is greater than the oxygen uptake at rest. Resting oxygen uptake (i.e., 1MET) can be considered to be roughly proportional to body weight, which is small for individual differences. There is an advantage that it is not necessary to set. In addition, since the metabolic equivalent is basically based on oxygen intake, there is an advantage that it can be easily converted into energy consumption.

 [0014] The exercise plan generation means may convert the improvement target of the biological information into energy consumption, and calculate the exercise intensity and exercise time from the energy consumption and the weight of the user. Thereby, an accurate and effective exercise plan can be easily calculated.

 [0015] The exercise plan generation means calculates exercise intensity based on a user's sex, age, height, BMI (Body Mass Index), body composition value, basal metabolic rate, or a combination of two or more thereof. It is preferable to correct. With a powerful correction, it is possible to generate a more accurate exercise plan that matches the individual characteristics of the user.

 [0016] The exercise plan output means converts the calculated exercise intensity into an exercise amount per unit time (eg, the number of steps per minute) or a time per unit exercise amount (eg, time per 100 steps). And output it. This makes it easy to exercise at an appropriate pace.

 [0017] The exercise plan output means converts the total exercise time required to achieve the improvement goal into an exercise time per unit period (for example, 50 minutes per 3 days, 150 minutes per week, etc.). To present. This allows the user to freely assemble how exercise time is allocated within the presented unit period. In particular, the unit period is preferably one week. It is also preferable that the unit period can be changed by the user.

 [0018] The exercise plan generation means may cause a user to specify a date for achieving the improvement target, and reversely calculate the exercise implementation period from the specified date. Most of the reasons for starting a diet or exercise to improve the constitution are events planned for the near future (such as marriage, travel, physical examination, Christmas).

. The above configuration focuses on this point.

[0019] The exercise plan proposing device further includes recording means capable of recording the value of the biological information in time series, and exercise effect output means for presenting the transition of the recorded value of the biological information to the user. It is also preferable. As a result, the user can easily confirm the effect of the exercise and maintain the motivation to continue the exercise. [0020] It is also preferable that the exercise effect output means predicts a future change in the value of the biological information from the transition of the recorded value of the biological information and presents the predicted value of the biological information to the user. Masle. As a result, the user can easily confirm the future effect of continuing the exercise, and the motivation to continue the exercise can be further sustained.

 [0021] When the exercise plan proposing device determines that the improvement target or the recorded value of the biological information is a value that may cause a health disorder, the exercise plan proposing device may further include a warning unit that warns the user. preferable. This prevents reckless goal setting and overloaded exercise, and ensures the safety of the exercise plan.

 [0022] The present invention may be regarded as an exercise plan proposing device having at least a part of the above means, and the present invention also provides an exercise plan proposing method including at least a part of the above processing, or force. It can also be understood as an exercise plan proposing program for realizing the method and a recording medium recording the program. Each of the above means and processes can be combined with each other as much as possible to constitute the present invention.

 The invention's effect

 [0023] According to the present invention, it is possible to generate and propose a more accurate and effective exercise plan for achieving the improvement target.

 Brief Description of Drawings

 FIG. 1 is a diagram showing an external appearance of a body composition meter according to a first embodiment.

 FIG. 2 is a block diagram showing a configuration of the body composition monitor of FIG.

 FIG. 3 is a flowchart showing a flow of measurement processing of body weight and body composition.

 [FIG. 4] FIG. 4 is a flow chart showing a flow of a motion plan generation and output process according to the first embodiment.

 FIG. 5A is a diagram showing an example of an output form of an exercise plan.

 FIG. 5B is a diagram showing an example of an output mode of an exercise plan.

 FIG. 5C is a diagram showing an example of an output mode of an exercise plan.

 FIG. 5D is a diagram showing an example of an output mode of an exercise plan.

 FIG. 6 is a diagram showing a display example of exercise effects.

[FIG. 7] FIG. 7 is a flowchart showing a flow of generation and output processing of an exercise plan according to the third embodiment. It is a chart.

 [Fig. 8] Fig. 8 is a diagram showing the appearance of an exercise intensity meter and a body composition meter according to the fourth embodiment.

FIG. 9 is a block diagram showing the configuration of the exercise intensity meter and body composition meter of FIG.

FIG. 10 is a block diagram showing configurations of an exercise intensity meter and a body composition meter according to the fifth embodiment.

Explanation of symbols

 1 Body

 2 Holding part

 3 Cable

 4 Exercise intensity meter

 5 External computing device

 10L, 10R, 11L, 11R Foot electrodes

 12 Weight measurement unit

 13 Holding section storage section

 20L, 20R grip

 21 Display

 22 Operation unit

 24L, 24R, 25 25R Hand electrode

 26 Control unit

 27 Impedance measurement section

 28 Memory

 29 Power supply

 30 I / F

 40 Control unit

 41 Operation unit

 42 Display

 43 I / F

44 Motion sensor 45 Reporting

 46 memory

 47 Power supply

 50 Control unit

 51 Operation section

 52 memory

 53 Display

 54 I / F

 BEST MODE FOR CARRYING OUT THE INVENTION

[0026] Preferred embodiments of the present invention are illustratively described in detail below with reference to the drawings.

[0027] <First Embodiment>

 The first embodiment shows a configuration example in which the function of the exercise plan proposing device is implemented in a body composition meter.

 [0028] (Configuration of body composition meter)

 Figure 1 shows the appearance of the body composition meter. Here, an example of a body weight / body composition meter constructed integrally with a weight scale is shown.

 This body composition meter is roughly composed of a main body 1 and a holding unit (display operation unit) 2. The main body 1 and the holding part 2 are connected by a cable 3 and can transmit and receive signals. The main body 1 and the holding unit 2 may be connected by wireless communication. When not in use, the holding part 2 and the cable 3 are stored in the holding part storage part 13 of the main body 1.

 [0030] On the upper surface of the main body 1, four foot electrodes 10L, 10R, 11L, and 11R are provided. Electrodes 10L and 10R are electrodes for applying current to the left and right soles, and electrodes 11L and 11R are electrodes for detecting the voltage from the left and right soles. The main unit 1 has a built-in weight measuring unit 12.

[0031] The holding unit 2 is provided with left and right grips 20L and 20R, a display unit 21, an operation unit 22, and the like. The display unit 21 is a part for displaying measurement results and guidance, and for displaying an exercise plan, which will be described later, and is composed of, for example, a liquid crystal display. Operation unit 22 is registered It has a user interface for selecting numbers (users), generating exercise plans and confirming other information. It is also preferable to configure the display unit 21 and the operation unit 22 with common hardware using a touch panel type display.

 The grips 20L and 20R are provided with electrodes 24L and 24R for applying a current to the palm, and electrodes 25L and 25R for detecting a voltage from the palm, respectively.

 FIG. 2 is a block diagram showing a configuration of the body composition meter. As shown in FIG. 2, the holding unit 2 includes a control unit 26, an impedance measurement unit 27, a storage unit 28, a power source 29, and the like.

 [0034] The control unit 26 presents the body composition estimation function for estimating the body composition, the exercise plan generation function for generating the exercise plan, the exercise plan output function for presenting the exercise plan to the user, and the effect of the exercise to the user. It is a part that functions as an exercise effect output function. Among them, the exercise plan generation function, the exercise plan output function, and the exercise effect output function are functions as the exercise plan generation device. The control unit 26 includes a CPU (arithmetic processing unit), a memory, and the like, and the above functions are realized by the CPU executing a program. However, a part or all of the functions performed by the control unit 26 may be configured by a dedicated chip.

 The impedance measuring unit 27 applies predetermined currents to the living body from the foot electrodes 10L and 10R and the hand electrodes 24L and 24R according to the control of the control unit 26, and the foot electrodes 11L and 11R and the hand electrode 25L. It is a means to measure impedance in the body by detecting voltage with 25R. Specific functions and processes of the control unit 26 and the impedance measurement unit 27 will be described later.

 The storage unit 28 is configured from a storage medium such as a nonvolatile memory. The storage unit 28 stores measurement results (measurement values) of body weight and body composition in time series by user (by registration number). The storage unit 28 also stores body specifying information (gender, age, height) of each user. In the body composition analyzer of this embodiment, a plurality of (for example, four) users can be registered, and the user can be selected by specifying a registration number on the operation unit 22.

 [0037] (Body composition measurement function)

 The standard processing flow when measuring body weight and body composition will be described with reference to the flowchart of FIG.

[0038] When the user turns on the power of the body composition meter, the control unit 26 executes the calibration process of the weight scale. (Step S10). After calibration is completed, users (registration numbers) can be selected. When a registration number is designated by the user (step S11), the control unit 26 reads data associated with the registration number from the storage unit 28 (step S12).

[0039] When the user gets on a predetermined position on the main body 1 and stands still in the measurement posture, the weight measurement unit 12 measures the weight (step S13). In addition, the impedance measurement unit 27 measures the internal impedance (step S14). These measured values are input to the control unit 26.

 [0040] The control unit 26 estimates the body composition based on the measured values of the weight and impedance and the user's body specifying information read from the storage unit 28 (step S15). As the body composition, for example, body fat percentage, body fat mass, visceral fat percentage, visceral fat mass, subcutaneous fat percentage, subcutaneous fat mass, muscle percentage, muscle mass and the like can be calculated. Further, based on these calculation results, guide information useful for health management and dieting such as basal metabolic rate, obesity, and body age may be generated. Since estimation of body composition and calculation of guideline information are performed using a known method, a specific explanation is omitted here.

 [0041] The control unit 26 displays biological information such as body weight, body composition, and guide information on the display unit 21 (step S16). By viewing this display, the user can confirm the measurement result. Further, the control unit 26 stores these pieces of biological information together with the measurement date / time information (time stamp) in the storage unit 28 (step S17). As a result, biometric information values are recorded in time series.

 [0042] (Exercise plan generation function)

 Next, the flow of motion plan generation and output processing will be described with reference to the flowchart of FIG. The following processing is executed when the user instructs generation of an exercise plan using the operation unit 22.

 [0043] When the registration number is designated by the user (step S20), the control unit 26 reads data associated with the registration number from the storage unit 28 (step S21). Here, “Gender: Male, Age: 37 years, Height: 172 cm” is read as body identification information, and “Weight: 82.5 kg, body fat percentage: 32.7%” is read as biometric information. And

[0044] Next, an improvement target is input (step S22). Specifically, it is targeted for improvement The type of biological information (weight, body fat percentage, etc.) and its target value are input. Here, it is assumed that the improvement target is set to reduce body weight (body fat mass) by 4.5 kg, such as “body weight: 78 · Okg”.

 Next, the exercise execution period is input (step S23). Here, it is assumed that “exercise period: 6 months” is specified. Note that the processing of steps S21 to S23 may be executed in any order.

 [0046] When the improvement target and the exercise execution period are set in this way, the control unit 26 determines whether or not the improvement target is a value that may cause a health disorder (step S24). For example, if the difference (or percentage) between the current value and the target value is greater than a predetermined threshold, or if the exercise period is too short compared to the improvement target, the improvement target is healthy. It is judged that there is a risk of damage. In other words, setting improvement targets is considered inappropriate. If the improvement target is inappropriately set (step S24; N0), a warning is output to the user, and the exercise implementation period and re-input of the improvement target are requested (step S25). Powerful processing can prevent reckless goal setting and guarantee the safety of exercise plans. If an appropriate value is set, proceed to step S26.

 [0047] In step S26, the control unit 26 calculates the exercise intensity and the exercise time necessary to achieve the improvement goal based on the set exercise execution period and the improvement goal.

 [0048] In this embodiment, metabolic equivalents (METs) are employed as exercise intensity. METs is a unit that expresses how many times the oxygen intake during exercise is more than the oxygen intake during rest.

 METs = exercise oxygen uptake ÷ resting oxygen uptake

 [0049] Resting oxygen uptake (ie, 1MET) can be considered to be roughly proportional to body weight with small individual differences, so there is no need to measure resting oxygen uptake before calculating exercise intensity . Specifically, the resting oxygen intake per minute per kg of body weight can be set at 3.5 ml LZkg / min. Also, lL (lOOOmL) oxygen intake can be converted into 5kcal energy consumption.

[0050] Fat lkg is equivalent to about 7000kcal, so it is an improvement target.4.5 In order to reduce fat by 5kg, energy consumption of about 31500kcal is required, and the exercise period is about 180 days for 6 months. Therefore, energy consumption of 175kcal per day is required. For 3MET strength, 175 [kcal] ÷ (3 [METs] X 3.5 [mL / kg / min] X 82.5 [kg] X 0.005 [kcal / mL]) = 40.4 [min]

 Therefore, about 40 minutes of exercise per day is required.

[0051] (Exercise plan output function)

 The control unit 26 outputs the exercise intensity and exercise time calculated as described above to the display unit 21 as an exercise plan (step S27).

[0052] FIGS. 5A to 5D show an example of an output mode of an exercise plan.

 [0053] In the example of Fig. 5A, multiple combinations of exercise intensity and exercise time (exercise plan candidates) are presented, such as "3METs X 40 minutes", "4METs X 30 minutes", and "5METs X 24 minutes". ing. Also, “3METs: Slow walking (3km / h), Bicycle (8km / h)”, “4METs: Normal walking (4km / h), Bicycle (10km / h)”, and the type of exercise corresponding to each METs value. Is also illustrated. The user can select an exercise plan that he is most comfortable with from these candidates.

 In the example of FIG. 5B, first, candidates for exercise are displayed as “slow walking / normal walking / jogging / swimming /...”, And the user is allowed to select a desired exercise. After that, the exercise time is calculated based on the METs value of the selected exercise and the exercise plan is output. In the example of Fig. 5B, “ordinary walking” is selected and the exercise time per day (= 30 minutes) is calculated based on the METs value (= 4METs) corresponding to the exercise.

 [0055] In the example of FIG. 5C, the exercise intensity is converted into an exercise amount per unit time. For example, the exercise intensity and the number of steps per minute can be converted by the following formula. However, the coefficients and β are constants.

 Steps per minute [steps / minute] = a X exercise intensity [METs] + β

 Conversely, as in “time per 100 steps”, the exercise intensity may be converted into time per unit exercise amount and output. Thus, by converting and presenting the exercise intensity into a specific exercise amount, it becomes easy to exercise at an appropriate pace.

[0057] In the above example, the exercise time per day is presented, but depending on the person, daily exercise may be difficult. Therefore, the total exercise time required to achieve the improvement target It may be presented in terms of exercise time per fixed unit period (longer than 1 day, 3 days, 1 week, etc.). It can be considered that the exercise time per N days is equivalent to N times the exercise time per day.

In the example of FIG. 5D, exercise time in units of one week is output, such as “210 minutes / week”. As for improvement goals, a weekly goal is output. The weekly output is based on the fact that most people manage their schedules on a weekly basis. It is up to the user how to allocate exercise time within the presented unit period. For example, when it is difficult to secure exercise time on weekdays, try to do exercise for one week all together on the weekend, or do exercise frequently on weekdays when there is business on the weekend. It is possible to flexibly set up an exercise schedule according to your own circumstances and preferences.

 [0059] Of course, it is better if the setting of the unit period can be changed. For example, the initial value is set to 1 week, and the user should be able to change the setting value on a daily basis. This further improves convenience.

 It should be noted that the set exercise implementation period and improvement goal, and the generated exercise plan are recorded in the storage unit 28 in association with the corresponding user's biological information.

 As described above, according to the configuration of the present embodiment, the exercise plan for achieving the improvement target is presented to the user with the information “exercise intensity (METs) and exercise time”. Therefore, the user can easily understand how much exercise should be performed for how long. If exercise is carried out according to the exercise intensity and exercise time presented, an almost constant exercise effect can be obtained.

 [0062] (Exercise effect output function)

 The effect of exercise can be confirmed by using the exercise effect output function.

 [0063] When the user activates the exercise effect output function by operating the operation unit 22 and designates a registration number, the control unit 26 records data associated with the registration number (recording of exercise plan and biological information). Value) is read from the storage unit 28.

[0064] Then, the control unit 26 generates an exercise effect confirmation screen from these data, and displays the display unit 21. To display. In the screen example shown in FIG. 6, the change in weight from the beginning of the exercise period to the present is shown by a line graph 60 (the vertical axis is weight and the horizontal axis is date). A target weight 61 and an ideal graph 62 are also displayed. Further, the control unit 26 predicts a future change in the weight from the transition of the recorded value of the weight, and the predicted value is indicated by a broken line 63.

[0065] By looking at such a graph, the user can easily confirm the effects of the exercise up to the present time and the future effects of continuing the exercise. If the effect of the exercise is obtained as originally planned, the motivation to continue the exercise can be maintained, and if the effect of the exercise is not obtained as planned, it is necessary to review the exercise plan. I understand.

 [0066] When the exercise effect is output, the control unit 26 determines whether the recorded value of the biometric information is a value (dangerous value) that may cause a health disorder, and is used when it is determined to be a dangerous value. The person may be warned. For example, it is possible to highlight the danger value on the graph in Fig. 6 or display a warning message. This prevents overloading exercises and ensures the safety of exercise plans.

 [0067] <Second Embodiment>

 Even if the exercises have the same content, there are differences in the amount of energy consumed by each person, so there is a possibility that the actual exercise effect will vary. Therefore, in the second embodiment, processing for correcting exercise intensity is performed based on the personal attributes of the user. Since other configurations are the same as those of the above-described embodiment, a detailed description is omitted here.

 [0068] As personal attributes that may affect energy consumption, gender, age, height, BMI, body composition value, basal metabolic rate, and the like are assumed. The magnitude of the impact of personal attribute values on energy consumption can be determined through clinical trials. If a correction factor for each individual attribute value or stratification is determined and incorporated in the above-described calculation formula, a difference in exercise effect due to a difference in individual attribute can be corrected appropriately.

 [0069] Table 1 is an example of a correction coefficient table based on differences in age and gender, with a woman under 30 years old as a reference. Table 2 shows an example of a correction coefficient table based on differences in BMI and gender when women with a BMI of 25 or less are used as a reference.

[0070] [Table 1] Age female male

 ~ 30 years 1. 0 1. 2

 ~ 6. Age 0. 9 1. 1

 61 years old ~ 0. 8 1. 0

[0071] [Table 2]

 [0072] For example, in the case of a woman whose age is 55 and BMI is 28, if the exercise intensity calculated by the above formula is 4METs,

 4METs X O. 9 X 0. 9 = 3.2 METs

 As described above, the exercise intensity can be corrected.

 [0073] The height, body composition value, and basal metabolic rate can be corrected by the same method. Table 3 shows an example of a correction coefficient table (for men) based on the difference in body fat percentage when the male body fat percentage is 10% or more and less than 20%. Table 4 shows an example of the correction coefficient table (for women) based on the difference in body fat percentage when the female body fat percentage is 20% or more and less than 30%. Table 5 shows an example of a correction coefficient table (for men) based on differences in basal metabolism when males with basal metabolism of 1230 or more and less than 1380 are used as a reference. Table 6 shows an example of a correction coefficient table (for women) based on differences in basal metabolism when women with basal metabolism of 1030 or more and less than 1100 are used as a reference.

 [0074] [Table 3]

[0075] [Table 4] Body fat percentage female

 35% or more 0.8

 30% or more and less than 35% 0.9

 20% or more but less than 30% 1. 0

 Less than 20% 1. 1

[0076] [Table 5]

 [0077] [Table 6]

 [0078] According to the configuration of the present embodiment described above, it is possible to correct the difference in the exercise effect based on the difference in the individual attribute, and therefore, it is possible to generate a more accurate exercise plan that matches the characteristics of the individual user. Can do. Note that it is not necessary to make corrections using all the above-mentioned personal attributes, and corrections may be made using one or a combination of two or more.

 [0079] Third Embodiment>

 In the previous embodiment, the exercise implementation period was directly entered, such as “6 months,” but in the third embodiment, the user was allowed to specify a date for achieving the improvement target, and from that specified date. Use a structure that reversely calculates the exercise period. Since other configurations are the same as those in the above-described embodiment, a detailed description is omitted here.

[0080] The flowchart in Fig. 7 shows the flow of the motion plan generation and output process according to the present embodiment. Note that the same step number is assigned to the same processing as in FIG. [0081] As in the previous embodiment, the registration number is specified in step S20, the data associated with the registration number is read from the storage unit 28 in step S21, and the improvement target is input in step S22. .

 [0082] Next, the control unit 26 requests input of a date for achieving the improvement target. When the due date is input (step S30), the control unit 26 calculates the difference between the input due date and the current date and sets the operation execution period (step S31). For example, if the current date is “May 1, 2006” and the date entered is “June 30, 2006”, the exercise period will be 60 days.

The subsequent processing (steps S24 to S27) is the same as that in the above-described embodiment.

 [0084] Most of the reasons for starting a diet or exercise to improve the constitution are events planned for the near future (such as marriage, travel, physical examination, Christmas, etc.) . In other words, there are very many user needs such as “lean 3 kg before travel” or “I want to lower my blood sugar level before a medical checkup”. The configuration of the present embodiment pays attention to such user needs, and it is possible to further improve convenience by calculating the exercise plan by calculating back the period that can be allocated to the exercise execution from the specified date. It is a thing.

 [0085] <Fourth embodiment>

 In the above-described embodiment, the function as the exercise plan proposing device is implemented in the body composition meter. In the fourth embodiment, the function is implemented in a system including the exercise intensity meter and the body composition meter.

 FIG. 8 shows the appearance of the exercise intensity meter and the body composition meter. FIG. 9 is a block diagram showing the configuration of the exercise intensity meter and the body composition meter.

 [0087] The exercise intensity meter 4 is a portable device (a pedometer, training device, etc.) for supporting the exercise according to the exercise plan, and roughly includes a control unit 40, an operation unit 41, a display unit 42, It has an I / F 43, a motion sensor 44, a sound report unit 45, a memory 46, a power supply 47 and the like. The body composition meter is also equipped with an I / F30, and the exercise intensity meter 4 and the body composition meter can transmit and receive data via wireless communication.

As shown in FIG. 9, in the present embodiment, among the functions as the exercise plan proposing device, the exercise plan generation function is handled by the control unit 26 of the body composition meter, and the exercise plan output function and the exercise effect output function Is controlled by the control unit 40 of the exercise intensity meter 4. [0089] The exercise intensity meter 4 can receive data (body specifying information, biological information, exercise plan, etc.) in the storage unit 28 of the body composition meter via the I / F. Then, the control unit 40 can display the exercise plan (see FIGS. 5A to 5D) and the exercise effect (see FIG. 6) on the display unit 42. As a result, the user can easily view exercise plans and exercise effects on mobile devices.

 The control unit 40 can also calculate the pace of exercise (for example, the pace of walking) based on the exercise intensity, and can output a pace sound from the report sound unit 45. If you exercise according to this pace sound, you can keep an appropriate pace.

 Furthermore, the control unit 40 can calculate the amount of exercise performed by the user from the detection result (for example, the number of steps) of the motion sensor 44 and can store the calculation result in the memory 46. If the user's movement amount and exercise plan are displayed in a comparable manner, or if a warning is output if the user's exercise amount is too small (or too much) compared to the exercise plan, Appropriate momentum can be maintained.

 In this embodiment, the exercise plan generation function is provided on the body composition meter side. However, a configuration in which the function is provided on the motion intensity meter side may be employed. In this case, the exercise intensity meter acquires data (body specific information and biological information) necessary for generating an exercise plan from the body composition meter.

 [0093] <Fifth embodiment>

 In the fifth embodiment, as shown in FIG. 10, the function as an exercise plan proposing device is implemented in an external computing device. The external computing device 5 includes a control unit 50, an operation unit 51, a memory 52, a display unit 53, an I / F 54, and the like, and the control unit 50 has various functions of the exercise plan proposing device. As the external computing device 5, for example, a personal computer, a PDA (Personal Digital Assistant), a mobile phone or the like can be used.

 [0094] When data such as body specifying information and biological information are input to the external computing device 5, they may be input manually or from an exercise intensity meter or body composition meter via the IZF. Data such as exercise plans and exercise effects generated by the external computing device 5 may be displayed on the display unit 53 of the external computing device 5 or may be transmitted to the exercise intensity meter via the IZF.

 [0095] <Modification>

As described above, the present invention has been described with reference to the first to fifth embodiments. It is only an example of a specific example. The scope of the present invention is not limited to the above embodiment, and various modifications can be made within the scope of the technical idea.

 [0096] For example, in the above embodiment, body composition values (body fat percentage, body fat mass, visceral fat percentage, visceral fat mass, subcutaneous) are the power and other biometric information exemplified as the biological information to be improved. Fat percentage, subcutaneous fat mass, muscle percentage, or muscle mass), waist diameter, blood pressure level, blood glucose level, blood lipid level, basal metabolic rate, etc. may be selected for improvement.

 Further, the processing flow and display examples in the above embodiment are only specific examples, and may be appropriately modified as long as the same results can be obtained.

Claims

The scope of the claims

 [1] An exercise plan proposing device for supporting improvement of the value of the biological information by exercise with respect to biological information related to the health of the organism,

 Based on the set exercise execution period and the improvement target of the biological information, the exercise plan generation means for calculating the exercise intensity and the exercise time necessary to achieve the improvement target, and the calculated exercise intensity and the exercise time are calculated. An exercise plan output means to be presented to the user

 Exercise plan proposal device.

 [2] The exercise intensity is metabolic equivalents (METs)

 The exercise plan generation means converts the improvement target of the biological information into energy consumption, and calculates the exercise intensity and exercise time from the energy consumption and the weight of the user.

 The exercise plan proposing device according to claim 1.

[3] The exercise plan generation means corrects exercise intensity based on a user's gender, age, height, BMI, body composition value, basal metabolic rate, or a combination of two or more thereof.

 The exercise plan proposing device according to claim 1 or 2.

[4] The exercise plan output means converts the calculated exercise intensity into a number of steps per minute and outputs it.

 The exercise plan proposing device according to claim 1 or 2.

[5] The exercise plan output means calculates the total exercise time required to achieve the improvement goal.

, Present in terms of exercise time per unit period

 The exercise plan proposing device according to claim 1 or 2.

[6] The unit period is one week

 The exercise plan proposing device according to claim 5.

[7] The unit period can be changed by the user.

The exercise plan proposing device according to claim 5.

[8] The exercise plan generation means allows the user to specify a date for achieving the improvement target, and reversely calculates the exercise implementation period from the specified date.

 The exercise plan proposing device according to claim 1 or 2.

[9] Recording means capable of recording the value of the biological information in time series,

 And an exercise effect output means for presenting a transition of a recorded value of the biological information to a user.

 The exercise plan proposing device according to claim 1 or 2.

10. The exercise effect output means predicts a future change in the value of the biological information from the transition of the recorded value of the biological information, and presents the predicted value of the biological information to the user. The exercise plan proposing device according to item 9.

[11] The apparatus further comprises warning means for warning the user when it is determined that the improvement target or recorded value of the biological information is a value that may cause health problems.

 The exercise plan proposing device according to claim 9.

[12] The biological information includes body composition value, waist diameter, body weight, blood pressure value, blood glucose level, blood lipid level, or basal metabolic rate.

 The exercise plan proposing device according to claim 1 or 2.

[13] The body composition value is body fat percentage, body fat mass, visceral fat percentage, visceral fat mass, subcutaneous fat percentage, subcutaneous fat mass, muscle percentage, or muscle mass.

 The exercise plan proposing device according to claim 12.

[14] An exercise plan proposing method for supporting the improvement of the value of the biological information by exercise with respect to the biological information related to the health of the organism,

 Computer

 A process of calculating exercise intensity and exercise time necessary to achieve the improvement target based on the set exercise execution period and the improvement target of the biological information;

 And a process for presenting the calculated exercise intensity and exercise time to the user.

[15] An exercise plan proposing program for supporting improvement of the value of the biological information by exercise with respect to biological information related to the health of the organism, On the computer,

 A process of calculating exercise intensity and exercise time necessary to achieve the improvement target based on the set exercise execution period and the improvement target of the biological information;

 An exercise plan proposing program that executes a process of presenting the calculated exercise intensity and exercise time to a user.