Exercise presentation device, exercise presentation method, and exercise presentation system
The exercise presentation system addresses the challenge of determining optimal exercise timing and type by considering a user's daily schedule, effectively suppressing blood sugar spikes through targeted exercise recommendations, enhancing insulin sensitivity and glucose management.
Patent Information
- Application Number
- PCT/JP2024/023013
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-07-04
- Filing Date
- 2024-06-25
- Publication Date
- 2025-01-09
AI Technical Summary
Existing exercise presentation devices do not consider a user's daily schedule when determining optimal exercise start timing and type to effectively suppress post-meal blood sugar spikes, which are crucial for managing diabetes and pre-diabetes.
An exercise presentation system that acquires user data including daily schedule and meal times, determines exercise start timing and type based on this data, and outputs the optimal exercise plan to the user, incorporating aerobic exercise, resistance training, and stretching to manage blood sugar levels.
The system effectively suppresses blood sugar spikes by recommending exercises such as fast walking or running before meals and aerobic exercises after meals, enhancing insulin sensitivity and managing blood glucose levels.
Smart Images

Figure JP2024023013_09012025_PF_FP_ABST
Abstract
Description
Motion presentation device, motion presentation method, and motion presentation system
[0001] The present disclosure relates to an exercise presentation device, an exercise presentation method, and an exercise presentation system that present an exercise start timing and an exercise type.
[0002] Blood glucose levels are indicated by the amount of glucose in the blood and can be significantly affected by the type and amount of nutrients contained in the diet. Aerobic exercise such as walking is also said to be effective in lowering blood glucose levels. Therefore, in order to treat or prevent lifestyle-related diseases such as diabetes, moderate exercise in addition to improving dietary habits is effective. In this regard, Patent Document 1 (JP 2015-181708 A) discloses an exercise presentation device that presents effective exercises to a user.
[0003] JP 2015-181708 A
[0004] While the fasting blood glucose level of a prediabetic person is no different from that of a healthy person, their postprandial blood glucose level may rise sharply to a level comparable to that of a diabetic patient, followed by a rapid drop shortly thereafter. Such a sudden fluctuation in postprandial blood glucose levels is also known as a "blood glucose spike." To prevent postprandial blood glucose levels from rising, it is important to perform appropriate exercise at the appropriate time. The exercise suggestion device disclosed in Patent Document 1 suggests to start exercising during the period when postprandial blood glucose levels are rising and suggests exercise types adjusted according to the contents of the meal. However, it does not suggest the optimal exercise start timing and exercise type for preventing blood glucose levels from rising, taking into account the daily schedule of each individual user, and there is still room for improvement.
[0005] The present disclosure has been made to solve such problems, and its purpose is to provide a technology that can present the optimal timing to start exercise and type of exercise taking into account the user's daily schedule.
[0006] An exercise presentation device according to an aspect of the present disclosure includes an acquisition unit that acquires user data indicating a user's daily schedule including meal times, a calculation unit that determines an exercise start timing and an exercise type based on the user data acquired by the acquisition unit, and an output unit that outputs the exercise start timing and exercise type determined by the calculation unit. The calculation unit determines the exercise start timing based on the user data, using meal times as a starting point, and determines the exercise type according to the determined exercise start timing.
[0007] An exercise suggestion method according to an aspect of the present disclosure includes, as processing executed by a computer, the steps of acquiring user data indicating a user's daily schedule including mealtimes, determining an exercise start timing and an exercise type based on the user data acquired in the acquiring step, and outputting the exercise start timing and exercise type determined in the determining step. The determining step includes the steps of determining an exercise start timing based on the user data, with mealtimes as the starting point, and determining the exercise type according to the determined exercise start timing.
[0008] An exercise presentation system according to an aspect of the present disclosure includes a user device and an exercise presentation device. The user device receives user data indicating a user's daily schedule, including mealtimes, and outputs the user data to the exercise presentation device. The exercise presentation device acquires the user data from the user device, determines exercise start timings relative to mealtimes based on the user data, and determines an exercise type according to the determined exercise start timings.
[0009] According to the present disclosure, the timing to start exercise based on mealtimes and the type of exercise corresponding to the exercise start timing are output taking into consideration the user's daily schedule, so that the user can perform the optimal type of exercise at the optimal exercise start timing based on mealtimes in order to prevent blood sugar levels from rising.
[0010] 8 is a diagram for explaining an overview of an exercise presentation system according to an embodiment. FIG. 8 is a diagram for explaining the configuration of an exercise presentation system according to an embodiment. FIG. 9 is a graph showing changes in blood glucose levels over approximately five hours before and after lunch. FIG. 9 is a diagram for explaining six patterns of exercise conditions imposed on a subject when the graph of FIG. 3 was created. FIG. 10 is a diagram for explaining optimal exercise start timing and exercise type for suppressing an increase in blood glucose levels. FIG. 11 is a graph showing changes in blood glucose levels over time when a subject performed aerobic exercise according to predetermined exercise conditions. FIG. 12 is a graph showing changes in blood glucose levels over time when a subject performed aerobic exercise according to predetermined exercise conditions. FIG. 13 is a graph showing changes in blood glucose levels over time when a subject performed aerobic exercise according to predetermined exercise conditions. FIG. 14 is a diagram for explaining three patterns of exercise conditions imposed on a subject when the graphs of FIGS. 6 to 8 were created. FIG. 15 is a graph showing changes in blood glucose levels over time when a subject performed resistance exercise according to predetermined exercise conditions. FIG. 16 is a graph showing changes in blood glucose levels over time when a subject performed resistance exercise according to predetermined exercise conditions. FIG. 13 is a diagram for explaining three patterns of exercise conditions imposed on the subject when the graphs of FIGS. 10 to 12 were created. FIG. 14 is a diagram for explaining input data and output data of the exercise presentation device according to the embodiment. FIG. 15 is a diagram for explaining input data and output data of the exercise presentation device according to the embodiment. FIG. 16 is a diagram for explaining a method for determining an aerobic exercise plan in the exercise presentation device according to the embodiment. FIG. 17 is a diagram for explaining a method for determining a muscle strength training plan in the exercise presentation device according to the embodiment. FIG. 18 is a diagram for explaining an example of exercise schedule data presented by the exercise presentation device according to the embodiment. FIG. 19 is a flowchart showing exercise presentation processing executed by the exercise presentation device according to the embodiment.
[0011] Hereinafter, embodiments will be described with reference to the drawings. In the following description, the same components are denoted by the same reference numerals. The names and functions of the components are also the same. Therefore, detailed description thereof will not be repeated.
[0012] [Configuration of Exercise Presentation System] The configuration of an exercise presentation system 1 according to an embodiment will be described with reference to FIGS. 1 and 2. FIG. 1 is a diagram for explaining an overview of the exercise presentation system 1 according to an embodiment. To treat or prevent lifestyle-related diseases such as diabetes, moderate exercise in addition to improving dietary habits is effective. Furthermore, to suppress postprandial blood glucose level increases, it is important to perform appropriate exercise at the appropriate time. It is believed that aerobic exercise, such as walking, promotes insulin-independent blood glucose uptake, separate from the insulin-dependent uptake of blood glucose into muscles. Therefore, even for people with reduced insulin activity, appropriate exercise is effective in suppressing blood glucose level increases. Furthermore, continuous exercise increases insulin sensitivity, thereby improving blood glucose uptake via insulin secreted after meals. Therefore, in the exercise presentation system 1 according to an embodiment, the exercise presentation device 10 is configured to generate exercise schedule data indicating appropriate exercise start timings and exercise types based on user data acquired from the user and present the generated exercise schedule data to the user.
[0013] The timing to start exercise includes timing in the pre-meal period and timing in the post-meal period.
[0014] The postprandial period is the period from the end of a meal until a first predetermined time has elapsed. The first predetermined time is the period until the postprandial blood glucose level reaches its peak, for example, one hour. In other words, the postprandial period in this embodiment is the period from the end of a meal until one hour has elapsed. Note that the "first predetermined time" is not limited to one hour, and may be any period from the end of a meal until the blood glucose level reaches its peak.
[0015] The pre-meal period is the period from the start of a meal to a second predetermined time prior. The second predetermined time is a period during which pre-meal exercise can suppress a rise in blood glucose levels after a meal, for example, two hours. In other words, the pre-meal period in this embodiment is the period from two hours before the start of a meal to the start of the meal. Note that the "second predetermined time" is not limited to two hours, and may be any period during which pre-meal exercise can suppress a rise in blood glucose levels after a meal.
[0016] The exercise types include aerobic exercise, resistance exercise, and stretching. The aerobic exercise includes a first aerobic exercise, a second aerobic exercise having a higher exercise intensity than the first aerobic exercise, and a third aerobic exercise having a higher exercise intensity than the second aerobic exercise. The exercise intensity according to the embodiment is, for example, an exercise intensity represented by the heart rate during exercise. Specifically, the first aerobic exercise is exercise in which the user's heart rate during exercise is 50% to 60% of the user's maximum heart rate, the second aerobic exercise is exercise in which the user's heart rate during exercise is 65% to 75% of the user's maximum heart rate, and the third aerobic exercise is exercise in which the user's heart rate during exercise exceeds 85% of the user's maximum heart rate. Furthermore, subjectively, the first aerobic exercise is exercise that the user feels is "easy" or "comfortable," the second aerobic exercise is exercise that the user feels is "comfortable" to "slightly difficult," and the third aerobic exercise is exercise that the user feels is "slightly difficult" to "difficult." An example of the "first aerobic exercise" includes normal walking. Normal walking is exercise in which the user walks at their normal speed. The walking speed in normal walking varies depending on the user, but is, for example, 50 m / min to 80 m / min. An example of the "second aerobic exercise" includes fast walking. Fast walking is exercise in which the user walks at a speed faster than their normal speed. The walking speed in fast walking varies depending on the user, but is, for example, 100 m / min to 130 m / min. An example of the "third aerobic exercise" includes running. Running is exercise in which the user runs. The running speed varies depending on the user, but is, for example, above 130 m / min. Aerobic exercise may include walking, running, jogging (e.g., exercise at 75%-85% of maximum heart rate), cycling, swimming, and aerobics. Resistance exercise includes strength training. Strength training is exercise using your own body weight, such as push-ups, sit-ups, squats, and calf raises. Fast walking is a higher intensity exercise than normal walking. Running is a higher intensity exercise than fast walking.Strength training is a higher intensity exercise than normal walking, fast walking, and running.
[0017] Furthermore, the exercise presentation device 10 determines exercise content corresponding to the exercise type based on the user data and presents it to the user. Exercise content corresponding to aerobic exercise includes walking, or interval walking or interval running, which is a selective combination of normal walking and fast walking. Exercise content corresponding to resistance exercise includes exercises for training the lower limbs, such as squats, calf raises, or thigh raises, exercises for training the core, such as trunk curls or bicycle curls, and exercises for training the upper limbs, such as push-ups.
[0018] The exercise presentation system 1 according to the embodiment includes a user device 20 for a user to input user data, and an exercise presentation device 10 that generates exercise schedule data based on the user data input to the user device 20.
[0019] The user device 20 is an information terminal configured to be able to communicate with the exercise presentation device 10, such as a desktop personal computer (PC), laptop PC, smartphone, smartwatch, wearable device, or tablet PC. The user device 20 outputs user data input by the user to the exercise presentation device 10. The user device 20 also acquires exercise schedule data from the exercise presentation device 10 and presents the acquired exercise schedule data to the user. The user device 20 may also have installed thereon an application for using services provided by the exercise presentation system 1. The user may input user data or present the exercise schedule data by executing the application installed on the user device 20.
[0020] Users of the user device 20 include people who aim to suppress an increase in blood sugar levels through exercise, such as diabetics or people at risk of developing diabetes. Note that the user device 20 is not limited to diabetics or people at risk of developing diabetes, and may accept user data input by supporters (e.g., caregivers or helpers) who support diabetics or people at risk of developing diabetes.
[0021] The exercise presentation device 10 is a server device configured to be able to communicate with the user device 20. For example, the exercise presentation device 10 may be a cloud-based server device that is able to communicate with a plurality of user devices 20. The exercise presentation device 10 acquires user data from the user device 20, generates exercise schedule data based on the acquired user data, and outputs the generated exercise schedule data to the user device 20.
[0022] The exercise presentation device 10 may have the functions of the user device 20. That is, the exercise presentation device 10 may be configured as a stand-alone computer that acquires user data input by a user, generates exercise schedule data based on the acquired user data, and presents the generated exercise schedule data to the user.
[0023] 2 is a diagram illustrating the configuration of the motion presentation system 1 according to the embodiment. As shown in FIG. 2, the motion presentation system 1 includes a user device 20 and a motion presentation device 10.
[0024] The user device 20 includes a computing device 21 , a memory 22 , a storage device 23 , a communication device 24 , a display 26 , and an input device 27 .
[0025] The arithmetic device 21 is a computing entity (computer) that executes various processes by executing various programs. The arithmetic device 21 is configured, for example, by a processor such as a CPU (central processing unit) or an MPU (micro-processing unit). A processor, which is an example of the arithmetic device 21, has the function of executing various processes by executing programs. However, some or all of these functions may be implemented using dedicated hardware circuits such as an ASIC (application-specific integrated circuit) or an FPGA (field-programmable gate array). The term "processor" is not limited to a processor in the narrow sense that executes processes using stored programs, such as a CPU or MPU, but may also include hardwired circuits such as an ASIC or FPGA. Therefore, the term "processor," which is an example of the arithmetic device 21, can also be interpreted as a processing circuitry in which processes are predefined by computer-readable code and / or hardwired circuits. The arithmetic device 21 may be configured on a single chip or multiple chips. Furthermore, the processor and associated processing circuitry may be comprised of multiple computers interconnected by wire or wirelessly, such as via a local area network or a wireless network. The processor and associated processing circuitry may also be comprised of a cloud computer that performs remote calculations based on input data and outputs the results of the calculations to other devices at remote locations.
[0026] The memory 22 includes a volatile storage area (for example, a working area) that temporarily stores program code, work memory, etc. when the arithmetic unit 21 executes various programs. Examples of the memory 22 include volatile memories such as dynamic random access memory (DRAM) and static random access memory (SRAM), and non-volatile memories such as read-only memory (ROM) and flash memory.
[0027] The storage device 23 stores various programs and various data executed by the arithmetic device 21. The storage device 23 may be one or more non-transitory computer readable media, or may be one or more computer readable storage media. Examples of the storage device 23 include a hard disk drive (HDD) and a solid state drive (SSD).
[0028] The communication device 24 communicates with the motion presentation device 10 via wired or wireless communication to transmit and receive data to and from the motion presentation device 10. For example, the communication device 24 communicates with the motion presentation device 10 to transmit user data input by a user to the motion presentation device 10. The communication device 24 also communicates with the motion presentation device 10 to receive exercise schedule data generated by the motion presentation device 10.
[0029] The display 26 displays a predetermined image under the control of the computing device 21. For example, the display 26 presents the exercise schedule data to the user by displaying an image generated based on the exercise schedule data acquired by the computing device 21 from the exercise presentation device 10.
[0030] The input device 27 is an operation unit for receiving user data input by a user, and includes a mouse, a keyboard, etc. The input device 27 may be a touch panel attached to the display 26.
[0031] The motion presentation device 10 includes a computing device 11 , a memory 12 , a storage device 13 , a communication device 14 , and a media reading device 15 .
[0032] The arithmetic device 11 is a computing entity (computer) that executes various programs to perform various processes and is an example of a "computing unit." The arithmetic device 11 is configured, for example, with a processor such as a CPU or MPU. Note that a processor, which is an example of the arithmetic device 11, has the function of executing various processes by executing programs, but some or all of these functions may be implemented using dedicated hardware circuits such as an ASIC or FPGA. The term "processor" is not limited to a processor in the narrow sense that executes processes using stored programs, such as a CPU or MPU, but may also include hardwired circuits such as an ASIC or FPGA. Therefore, the "processor" as an example of the arithmetic device 11 can also be interpreted as a processing circuitry in which processing is predefined by computer-readable code and / or hardwired circuits. The arithmetic device 11 may be configured on a single chip or multiple chips. Furthermore, the processor and related processing circuits may be configured as multiple computers interconnected by wire or wirelessly via a local area network, wireless network, or the like. The processor and associated processing circuitry may be configured as a cloud computer that performs computations remotely based on input data and outputs the results of the computations to other devices at remote locations.
[0033] The memory 12 includes a volatile storage area (e.g., a working area) that temporarily stores program code, work memory, etc. when the arithmetic unit 11 executes various programs. Examples of the memory 12 include volatile memories such as DRAM and SRAM, and non-volatile memories such as ROM and flash memory.
[0034] The storage device 13 stores various programs and various data executed by the arithmetic device 11. For example, the storage device 13 stores an exercise presentation program 131 executed by the arithmetic device 11, exercise presentation data 132 referenced by the arithmetic device 11, and the like. The storage device 13 may be one or more non-transitory computer-readable media, or may be one or more computer-readable storage media. Examples of the storage device 13 include an HDD and an SSD.
[0035] The exercise presentation program 131 includes a program that defines a processing procedure for the calculation device 11 to generate exercise schedule data based on user data acquired from the user device 20. The exercise presentation data 132 includes various information used by the calculation device 11 when generating the exercise schedule data. Note that the exercise presentation device 10 may store the exercise presentation program 131 and the exercise presentation data 132 in advance in the storage device 13, or may store the exercise presentation program 131 and the exercise presentation data 132 acquired from the storage medium 50 by the media reading device 15 in the storage device 13.
[0036] The communication device 14 is an example of an "acquisition unit" and an "output unit." The communication device 14 transmits and receives data to and from the user device 20 by communicating with the user device 20 via wired or wireless communication. For example, the communication device 14 receives user data input by a user from the user device 20 by communicating with the user device 20. The communication device 14 also transmits exercise schedule data generated by the calculation device 11 to the user device 20 by communicating with the user device 20.
[0037] The media reader 15 accepts the storage medium 50 and acquires various programs (e.g., the exercise presentation program 131) or various data (e.g., the exercise presentation data 132) from the storage medium 50. The storage medium 50 includes a CD (Compact Disc), a DVD (Digital Versatile Disc), a USB (Universal Serial Bus) memory, an SD (Secure Digital) card, or the like.
[0038] [Effective Timing to Start Exercise and Types of Exercise for Suppressing Increases in Blood Glucose Levels] Exercise start timing and types of exercise that are effective for suppressing increases in blood glucose levels will be described with reference to Figures 3 to 5. Figure 3 is a graph showing changes in blood glucose levels over approximately five hours before and after lunch. Figure 4 is a diagram illustrating six patterns of exercise conditions 1 to 6 that were assigned to the subjects when the graph in Figure 3 was created.
[0039] As shown in FIG. 4 , exercise conditions 1 to 3 are conditions under which exercise is performed a predetermined time before the start of a meal, and exercise conditions 4 and 5 are conditions under which exercise is performed a predetermined time after the start of a meal. Specifically, exercise condition 1 is a condition under which exercise is performed so as to finish 90 minutes before the start of a meal. Exercise condition 2 is a condition under which exercise is performed so as to finish 60 minutes before the start of a meal. Exercise condition 3 is a condition under which exercise is performed so as to finish 30 minutes before the start of a meal. Exercise condition 4 is a condition under which exercise is performed so as to start 40 minutes after the start of a meal. Exercise condition 5 is a condition under which exercise is performed so as to start 40 minutes after the start of a meal. Exercise condition 6 is a condition under which exercise is not performed either before or after a meal.
[0040] Exercise under each of exercise conditions 1 to 4 was 20 minutes of fast walking, and exercise under exercise condition 5 was 20 minutes of normal walking.
[0041] Thirteen subjects with an average age of approximately 42 participated in the experiment used to create the graph in Figure 3. Each subject performed the exercise prescribed in each of the exercise conditions 1 to 6 at least once during the pre-meal or post-meal period, and blood glucose levels were continuously measured over a set period including the pre-meal and post-meal periods. Each subject was also subjected to a common dietary restriction to ensure that their dietary intake was the same. Blood glucose levels were measured using a continuous blood glucose sensor (FreeStyle Libre Sensor, manufactured by Abbott).
[0042] Subjects under exercise condition 1 performed fast walking before meals, finishing 90 minutes before the start of the meal. For example, as shown in Figure 3, subjects under exercise condition 1 performed fast walking for 20 minutes starting at 10:40 and finished fast walking at 11:00, 90 minutes before the start of the meal at 12:30.
[0043] Subjects under exercise condition 2 performed fast walking before meals, finishing 60 minutes before the start of the meal. For example, as shown in Figure 3, subjects under exercise condition 2 performed fast walking for 20 minutes starting at 11:10 and finished fast walking at 11:30, 60 minutes before the start of the meal at 12:30.
[0044] Subjects under exercise condition 3 performed fast walking before meals, finishing 30 minutes before the start of the meal. For example, as shown in Figure 3, subjects under exercise condition 3 performed fast walking for 20 minutes starting at 11:40 and finished fast walking at 12:00, 30 minutes before the start of the meal at 12:30.
[0045] The subject under exercise condition 4 started fast walking 40 minutes after starting the meal. For example, as shown in Figure 3, the subject under exercise condition 4 performed fast walking for 20 minutes from 13:10, which was 40 minutes after the meal start time of 12:30, and finished fast walking at 13:30.
[0046] The subject under exercise condition 5 started normal walking 40 minutes after the start of the meal. For example, as shown in Figure 3, the subject under exercise condition 5 performed normal walking for 20 minutes from 13:10, which was 40 minutes after the meal start time of 12:30, and finished normal walking at 13:30.
[0047] Subjects in exercise condition 6 were only subjected to dietary restrictions without exercising during the pre- and post-meal periods.
[0048] 3, in a graph with elapsed time on the horizontal axis and blood glucose level on the vertical axis, multiple lines L1 to L6 indicate changes in blood glucose level over time. The average blood glucose levels of the subjects following each of exercise conditions 1 to 6 are plotted as L1 to L6 on the graph in FIG. 3.
[0049] As shown in L1 to L5, blood glucose levels decrease immediately after exercise begins, both before and after meals. Therefore, pre- or post-meal exercise as shown in L1 to L5 can suppress the rise in blood glucose levels caused by meals more effectively than no exercise as shown in L6. In particular, post-meal exercise as shown in L4 and L5 can suppress the rise in blood glucose levels caused by meals more effectively than pre-meal exercise as shown in L1 to L3. Furthermore, high-intensity fast walking as shown in L4 can suppress the rise in blood glucose levels caused by meals more effectively than low-intensity normal walking as shown in L5. In this example, the reduction in blood glucose spikes caused by fast walking as shown in L4 is approximately 47 mg / dL, and the reduction in blood glucose spikes caused by normal walking as shown in L5 is approximately 25 mg / dL. In both cases, the reduction in blood glucose spikes caused by post-meal aerobic exercise is relatively large.
[0050] Figure 5 is a diagram illustrating the optimal timing for starting exercise and the type of exercise to suppress a rise in blood glucose levels. From the experimental results described using Figures 3 and 4, it is recommended to perform fast walking before meals and normal walking or fast walking after meals to suppress a rise in blood glucose levels after meals. In particular, performing fast walking, which has a higher exercise intensity than normal walking, after meals is most effective in suppressing blood glucose spikes.
[0051] In order to enhance the effectiveness of insulin, it is also important to continue strength training in the medium to long term. From the perspective of increasing muscle mass, it is preferable to perform strength training before meals and then obtain protein through subsequent meals.
[0052] Therefore, as shown in Figure 5, the recommended daily schedule recommends performing fast walking or strength training before each meal (breakfast, lunch, and dinner) and performing aerobic exercise after each meal, more preferably performing fast walking after each meal. Furthermore, the daily schedule shown in Figure 5 also recommends performing fast walking or strength training at a higher intensity than normal walking during the intermeal periods between meals to enhance the effect of insulin.
[0053] As described above, in order to suppress the rise in blood glucose levels after meals, it is effective to perform fast walking or strength training before each meal (breakfast, lunch, dinner) and to perform aerobic exercise after meals, and more preferably to perform fast walking after meals.Furthermore, it is found that in order to enhance the effect of insulin, it is effective to perform fast walking or strength training in the period between meals.
[0054] In the examples of Figures 3 and 4 described above, the difference in suppression of blood glucose level rise between normal walking and fast walking as aerobic exercise was compared. Next, with reference to Figures 6 to 9, the results of a comparison of the difference in suppression of blood glucose level rise between fast walking and running will be explained. Figures 6 to 8 are graphs showing changes in blood glucose level over time when a subject performed aerobic exercise according to specified exercise conditions. Figure 9 is a diagram explaining the three patterns of exercise conditions imposed on the subject when the graphs of Figures 6 to 8 were created.
[0055] 9, exercise condition 11 is a condition in which 20 minutes of running is performed before a meal period followed by a meal, exercise condition 12 is a condition in which 20 minutes of fast walking is performed before a meal period followed by a meal, and exercise condition 13 is a condition in which a meal is eaten without performing any exercise. Note that the pre-meal exercise is to be completed at least 30 minutes before the start of the meal.
[0056] Three subjects participated in the experiment to create the graphs in Figures 6 to 8. Each subject performed the prescribed exercise at least once during the pre-meal period according to each of exercise conditions 11 to 13, and blood glucose levels were continuously measured over a certain period including the pre-meal and post-meal periods. In addition, each subject was subject to the same dietary restrictions so that the dietary content was the same.
[0057] 6 to 8, in graphs with elapsed time on the horizontal axis and blood glucose level on the vertical axis, multiple lines L11 to L13 indicate changes in blood glucose level over time. The blood glucose levels of multiple subjects who underwent exercise conditions 11 to 13 are plotted as L11 to L13 on the graphs in Figures 6 to 8. That is, Figures 6 to 8 show changes in blood glucose levels of multiple subjects who underwent experiments under exercise conditions 11 to 13.
[0058] 6 to 8, it can be seen that for all of the subjects, when fast walking or running was performed before a meal, the rise in blood glucose levels due to a meal tended to be more suppressed than when no exercise such as fast walking or running was performed. Furthermore, it can be seen that for all of the subjects, when running was performed before a meal, the rise in blood glucose levels due to a meal tended to be more suppressed than when fast walking was performed before a meal.
[0059] From the experimental results described using Figures 6 to 9, it is recommended to run rather than fast walk before meals in order to suppress the rise in blood glucose levels after meals.
[0060] As described above, it is clear that running before each meal (breakfast, lunch, dinner) is effective in suppressing the rise in blood glucose levels after meals.
[0061] Next, with reference to Figures 10 to 13, we will explain the results of a comparison of the difference in suppression of blood glucose level increases between performing resistance exercise such as muscle training before a meal and performing resistance exercise after a meal. Figures 10 to 12 are graphs showing changes in blood glucose levels over time when a subject performed resistance exercise according to specified exercise conditions. Figure 13 is a diagram explaining the three patterns of exercise conditions imposed on the subject when the graphs of Figures 10 to 12 were created.
[0062] As shown in Figure 13, exercise condition 21 is a condition in which 20 minutes of resistance exercise is performed in the pre-meal period followed by a meal, exercise condition 22 is a condition in which 20 minutes of resistance exercise is performed in the post-meal period after a meal, and exercise condition 23 is a condition in which a meal is eaten without exercising. Note that the pre-meal exercise is completed 30 minutes before the start of the meal, and the post-meal exercise is started 40 minutes after the start of the meal.
[0063] Three subjects participated in the experiment to create the graphs in Figures 10 to 12. Each subject performed the exercise prescribed for each of the exercise conditions 21 to 23 at least once during the postprandial period, and blood glucose levels were continuously measured over a certain period including the pre- and post-prandial periods. In addition, each subject was subject to the same dietary restrictions so that the dietary content was the same.
[0064] 10 to 12, in graphs with elapsed time on the horizontal axis and blood glucose levels on the vertical axis, multiple lines L21 to L23 indicate changes in blood glucose levels over time. The blood glucose levels of multiple subjects who underwent exercise conditions 21 to 23 are plotted as L21 to L23 on the graphs in Figures 10 to 12. That is, Figures 10 to 12 show changes in blood glucose levels of multiple subjects who underwent experiments under exercise conditions 21 to 23.
[0065] 10 to 12, it can be seen that for all subjects, performing resistance exercise before or after a meal tends to suppress the rise in blood glucose levels caused by a meal more than not performing resistance exercise. However, whether performing resistance exercise before a meal or after a meal suppresses the rise in blood glucose levels differs depending on the subject.
[0066] From the experimental results described using FIGS. 10 to 13, it is recommended to perform resistance exercise before or after meals in order to suppress the rise in blood glucose levels after meals.
[0067] As described above, it is clear that performing resistance exercise before or after each meal (breakfast, lunch, dinner) is effective in suppressing the rise in blood glucose levels after meals.
[0068] Based on the various experimental results described above using Figures 3 to 13, the exercise presentation device 10 is configured to generate exercise schedule data that indicates appropriate exercise start timing and exercise type according to the user's daily schedule, based on user data acquired from the user device 20.
[0069] [Determination of Exercise Schedule Data by Exercise Presentation Device] Determination of exercise schedule data by the exercise presentation device 10 will be described with reference to Fig. 14 to Fig. 17. Fig. 14 and Fig. 15 are diagrams for explaining input data and output data of the exercise presentation device 10 according to the embodiment.
[0070] As shown in Figures 14 and 15, user data, which is input data for the exercise presentation device 10, includes information about health status (hereinafter also referred to as "health status information"), information about lifestyle habits (hereinafter also referred to as "lifestyle habit information"), information about the user's attributes (hereinafter also referred to as "attribute information"), and information about the user's athletic ability (hereinafter also referred to as "athletic ability information").
[0071] As shown in FIG. 14 , the health status information includes, as continuous blood glucose level information, for example, whether or not there are blood glucose spikes. The user measures their blood glucose level continuously over a predetermined period (e.g., two weeks) using a blood glucose level measuring device (not shown) and inputs the measurement results into the user device 20 as continuous blood glucose level information. The lifestyle information includes daily activity level, work type (e.g., commuting to work or working from home), commuting method, whether or not they have enough walking time for commuting, their daily schedule (e.g., bedtime, wake-up time, meal times, arrival time at work, departure time at work, etc.), frequency of skipping meals, and whether or not they have an evening drink. The attribute information includes gender and age (generation). The athletic ability information includes information indicating the user's athletic ability, such as tenacity (e.g., whole-body endurance), strength (e.g., lower limb strength), and flexibility of the upper or lower body. Each of the health information, lifestyle information, attribute information, and athletic ability information may include at least one of the information shown in FIG. 14, or may include other information different from the information shown in FIG. 14.
[0072] 14 and 15, the exercise schedule data, which is output data from the exercise presentation device 10, includes an exercise start timing and an exercise type. The exercise type further includes aerobic exercise, strength training, and stretching.
[0073] As shown in Fig. 14, the exercise presentation device 10 determines the timing to start exercise based on continuous blood glucose level information (presence or absence of blood glucose spikes) and lifestyle habit information from the user data. As shown in Fig. 15, for example, the exercise presentation device 10 determines the optimal timing to start exercise to suppress a rise in blood glucose level after a meal and presents it to the user, such as first advice recommending low or medium intensity exercise after meals, second advice recommending medium or high intensity exercise before meals, and third advice recommending stretching to relax before going to bed.
[0074] 6 to 9, the exercise presentation device 10 may present the user with fourth advice recommending that the exercise before meals be high intensity (for example, running) rather than medium intensity (for example, fast walking). Furthermore, based on the experimental results described with reference to FIGS. 10 to 13, the exercise presentation device 10 may present the user with fifth advice recommending that the exercise before or after meals be high intensity (for example, resistance exercise).
[0075] 14 , the exercise presentation device 10 determines an aerobic exercise plan based on the tenacity included in the health condition information, attribute information, and athletic ability information of the user data. For example, the user walks to measure tenacity (whole body endurance) and inputs the walking speed per minute or per hour into the user device 20 as the tenacity (whole body endurance) value. When asked about tenacity (whole body endurance), the user may also answer questions about their self-evaluation of physical activity and their body fat percentage, and the answers to these questions may be input into the user device 20 as the tenacity (whole body endurance) value.
[0076] 15 , the exercise presentation device 10 determines and presents to the user an optimal type of exercise (aerobic exercise plan) for suppressing a rise in blood glucose levels after meals, such as walking efficiently, performing normal walking for 20 minutes at least three times a week, and performing fast walking for 10 minutes at least twice a week, based on the value of tenacity (whole body endurance) acquired from the user device 20. Furthermore, the exercise presentation device 10 determines and presents to the user an optimal type of exercise (aerobic exercise plan) for suppressing a rise in blood glucose levels after meals, such as running, based on the value of tenacity (whole body endurance) acquired from the user device 20.
[0077] 14, the exercise presentation device 10 determines a muscle training plan based on the strength included in the health condition information, attribute information, and athletic ability information of the user data. For example, the user performs one-legged squats to measure strength, and inputs the result of whether or not the user was able to perform the one-legged squat into the user device 20 as a strength value.
[0078] As shown in FIG. 15, the exercise presentation device 10 determines the optimal type of exercise (strength training plan) for suppressing the rise in blood sugar levels after meals, such as strengthening the legs for walking and performing squats, calf raises, and thigh raises, based on the strength value obtained from the user device 20, and presents this to the user as a strength training plan.
[0079] 14, the exercise presentation device 10 determines a stretching plan based on flexibility included in the athletic ability information of the user data. In this example, the user performs flexibility exercises such as clasping hands behind the back or performing a sitting forward bend to measure flexibility, and the results of whether or not the user was able to perform the flexibility exercises are input to the user device 20 as a flexibility value.
[0080] As shown in Figure 15, based on the flexibility value obtained from the user device 20, the exercise presentation device 10 determines the optimal type of exercise (stretching plan) to suppress the rise in blood sugar levels after meals, such as not carrying over fatigue to the next day, focusing on stretching the lower limbs which are prone to fatigue, and also stretching the upper limbs which are less flexible, and presents this to the user as a stretching plan.
[0081] Here, a method for determining an aerobic exercise plan will be described with reference to FIG. 16 . FIG. 16 is a diagram for explaining a method for determining an aerobic exercise plan in the exercise presentation device 10 according to the embodiment. As shown in FIG. 16 , the exercise presentation device 10 stores, as exercise presentation data 132, an aerobic exercise level determination table 151 for determining an aerobic exercise level based on the user's gender, age (generation), and tenacity (whole body endurance) in the storage device 13. The exercise presentation device 10 also stores, as exercise presentation data 132, an aerobic exercise plan determination table 152 for determining an aerobic exercise plan based on the aerobic exercise level determined using the aerobic exercise level determination table 151 in the storage device 13.
[0082] In the aerobic exercise level determination table 151, aerobic exercise levels 1 to 15 are assigned to each gender and age (age group). Each aerobic exercise level is further classified into one of "extra-high," "high," "intermediate-high," "intermediate," "beginner-intermediate," and "beginner." Each aerobic exercise level is also associated with the user's tenacity (whole body endurance). While the aerobic exercise level determination table 151 in FIG. 16 shows aerobic exercise levels for people in their twenties for both men and women, the aerobic exercise level determination table 151 also defines aerobic exercise levels for other age groups, such as people in their thirties and forties. Although omitted portions of the description in FIG. 16 are indicated by "...," predetermined values are actually applied to the omitted portions.
[0083] For example, if the user is a man in his twenties, the aerobic exercise level is assigned as follows: 1 m (X1 If the user's walking speed is less than X m / min (for example, 55 m / min to 62 m / min), the aerobic exercise level is assigned to "beginner." 1 greater than m and speed x per minute 2 m (minute speed 2 If the user's walking speed is less than X m / min, for example, 85 m / min to 92 m / min, the aerobic exercise level is assigned to "beginner / intermediate." 2 greater than m and speed x per minute 3 m (minute speed 3 If the user's walking speed is less than X m / min, for example, 95 m / min to 102 m / min, the aerobic exercise level is assigned to "intermediate." 3 greater than m and speed x per minute 4 m (minute speed 4 If the user's walking speed is less than X m per minute (for example, 105 m / min to 110 m / min), the aerobic exercise level is assigned to "intermediate to advanced." 4 greater than m and speed x per minute 5 m (minute speed 5 If the user's walking speed is less than X m / min, for example, 115 m / min to 120 m / min, the aerobic exercise level is assigned to "advanced." 5 If it is greater than m, the aerobic exercise level is assigned to "extra high grade."
[0084] The aerobic exercise level may be determined by any method other than the method shown in the aerobic exercise level determination table 151 of FIG. 16 , as long as the aerobic exercise level increases with increasing tenacity (whole body endurance). Furthermore, the aerobic exercise level in the aerobic exercise level determination table 151 may also be determined taking into account the user's health condition information. For example, for a user who experiences blood glucose spikes, the aerobic exercise level determined based on the user's gender, age (generation), and tenacity (whole body endurance) may be changed to a predetermined level (e.g., one level) higher in order to further suppress increases in blood glucose levels after meals. The exercise presentation device 10 may determine the aerobic exercise level based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0085] In the aerobic exercise plan determination table 152, the content of aerobic exercise is assigned to each of the user's aerobic exercise levels (athletic ability). For example, in the aerobic exercise plan determination table 152, the fast walking times to be performed in the first, second, and third months are assigned to each of the user's aerobic exercise levels. In addition, in the aerobic exercise plan determination table 152, the fast walking times are assigned to the user's aerobic exercise levels so that the exercise intensity increases as the user's aerobic exercise level increases. Furthermore, in the aerobic exercise plan determination table 152, the fast walking times are assigned to the user's aerobic exercise levels so that the exercise intensity increases stepwise over time.
[0086] For example, if the user's aerobic exercise level determined using the aerobic exercise level determination table 151 is "beginner," five minutes are allocated to fast walking in the first month, ten minutes are allocated to fast walking in the second month, and fifteen minutes are allocated to fast walking in the third month. If the user's aerobic exercise level determined using the aerobic exercise level determination table 151 is "intermediate to advanced," twenty minutes are allocated to fast walking in the first month, twenty-five minutes are allocated to fast walking in the second month, and thirty minutes are allocated to fast walking in the third month. If the allocated fast walking time is less than 20 minutes in any of the first, second, and third months, it is recommended that the remaining time be spent performing normal walking.
[0087] The aerobic exercise plan may be determined by any method, not limited to the method shown in the aerobic exercise plan determination table 152 of FIG. 16 , as long as the higher the aerobic exercise level (i.e., the user's tenacity (whole body endurance)), the greater the load on the user. The aerobic exercise plan may be determined by any method, not limited to the content shown in the aerobic exercise plan determination table 152 of FIG. 16 , as long as the content varies depending on the level of exercise intensity. The aerobic exercise plan determination table 152 may also determine the content of the aerobic exercise taking into account the user's health condition information. The exercise presentation device 10 may determine the content of the fast walking based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0088] As with fast walking, the exercise presentation device 10 determines an aerobic exercise plan for normal walking based on the user's tenacity (whole body endurance), such that the higher the tenacity (whole body endurance), the greater the load on the user. For example, the exercise presentation device 10 determines an aerobic exercise plan such that the higher the user's tenacity (whole body endurance), the longer the normal walking time. The exercise presentation device 10 may determine the content of normal walking based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0089] Furthermore, as with normal walking, the exercise presentation device 10 determines an aerobic exercise plan for running based on the user's tenacity (whole body endurance), such that the higher the tenacity (whole body endurance), the greater the load on the user. For example, the exercise presentation device 10 determines an aerobic exercise plan such that the higher the user's tenacity (whole body endurance), the faster the running speed. Note that the exercise presentation device 10 may determine the content of the running based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0090] The exercise presentation device 10 uses an aerobic exercise level determination table 151 to determine the user's aerobic exercise level as one of "extra-high," "high," "intermediate-high," "intermediate," "beginner-intermediate," and "beginner," based on the user's tenacity (whole body endurance) input from the user device 20. Furthermore, the exercise presentation device 10 uses an aerobic exercise plan determination table 152 to determine an aerobic exercise plan according to the aerobic exercise level determined. This allows the exercise presentation device 10 to determine an aerobic exercise plan according to the user data.
[0091] Next, a method for determining a muscle strength training plan will be described with reference to Fig. 17. Fig. 17 is a diagram for explaining a method for determining a muscle strength training plan in the exercise presentation device 10 according to the embodiment. As shown in Fig. 17, the exercise presentation device 10 stores, in the storage device 13, a muscle strength training plan determination table 162 as exercise presentation data 132 for determining a muscle strength training plan based on the user's muscle strength level.
[0092] In the strength training plan determination table 162, the content of strength training to be performed in the first, second, and third months is assigned for each user's strength level (athletic ability). Furthermore, in the strength training plan determination table 162, the content of strength training is assigned to the user's strength level so that the exercise intensity increases as the user's strength level increases. Furthermore, in the strength training plan determination table 162, the content of strength training is assigned to the user's strength level so that the exercise intensity increases stepwise over time. Note that, although omitted parts in FIG. 17 are indicated by "...", in reality, predetermined values are applied to the omitted parts indicated by "...".
[0093] The exercise content of the strength training includes lower limbs A to C, trunks A to C, and upper limbs A to C. The exercise intensities of lower limbs A to C are different from each other. For example, lower limb A is the lowest exercise intensity, such as squats. Lower limb B is the highest exercise intensity, such as calf raises. Lower limb C is the highest exercise intensity, such as thigh raises. The exercise intensities of trunks A to C are different from each other. For example, trunk A is the lowest exercise intensity, such as standard trunk curls. Trunk B is the highest exercise intensity, such as trunk curls, where you use a platform to get up at an angle. Trunk C is the highest exercise intensity, such as bicycle crunches. The exercise intensities of upper limbs A to C are different from each other. For example, upper limb A is the lowest exercise intensity, such as standard push-ups. Upper limb B is the highest exercise intensity, such as wide push-ups. The exercise for upper limb C is performed at a higher exercise intensity than that for upper limb A and upper limb B, such as narrow push-ups.
[0094] For example, if the user's strength level is "intermediate," then the first month's strength training will be assigned to lower limbs A and B and trunk A, the second month's strength training will be assigned to lower limbs A and B and trunk A, and the third month's strength training will be assigned to lower limbs A, trunk A, and upper limbs A. If the user's strength level is "advanced," then the first month's strength training will be assigned to lower limbs A, trunk A, and upper limbs A, the second month's strength training will be assigned to lower limbs B, trunk B, and upper limbs B, and the third month's strength training will be assigned to lower limbs C, trunk C, and upper limbs C.
[0095] The strength training plan may be determined by any method, not limited to the method shown in the strength training plan determination table 162 of FIG. 17 , as long as the higher the muscle strength level (i.e., strength), the greater the load imposed on the user. The strength training plan may also be determined by any method, not limited to the content shown in the strength training plan determination table 162 of FIG. 17 , as long as the content varies depending on the level of exercise intensity. The strength training plan determination table 162 may also take into account user attribute information when determining the strength training content. For example, a strength training content with a higher exercise intensity may be determined for a male than for a female. Alternatively, a strength training content with a higher exercise intensity may be determined for a younger person than for an elderly person. The strength training plan determination table 162 may also take into account the user's health status information. For example, for a user with chronically high blood sugar levels, the strength level may be changed to a strength level that is a predetermined level higher (e.g., one level higher) in order to further suppress an increase in blood sugar levels. The exercise presentation device 10 may determine the content of muscle training based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0096] The exercise presentation device 10 determines a muscle strength training plan according to the muscle strength level using the muscle strength training plan determination table 162, based on the user's strength (muscle strength level) input from the user device 20. This allows the exercise presentation device 10 to determine a muscle strength training plan according to the user data.
[0097] Although not shown, the exercise presentation device 10 stores a stretch plan determination table in the storage device 13 as the exercise presentation data 132, which is used to determine a stretch plan based on the user's flexibility. In the stretch plan determination table, the contents of the stretch plan are assigned according to the user's flexibility (athletic ability). In addition, in the stretch plan determination table, the contents of the stretch plan are assigned to the user's flexibility level so that the higher the user's flexibility level, the higher the exercise intensity. Furthermore, in the stretch plan determination table, the contents of the stretch plan are assigned to the flexibility level so that the exercise intensity increases stepwise over time.
[0098] The exercise presentation device 10 determines a stretch plan according to the user's flexibility level using a stretch plan determination table based on the user's flexibility input from the user device 20. This allows the exercise presentation device 10 to determine a stretch plan according to the flexibility level of each user based on the user data.
[0099] [Example of Exercise Schedule Data] An example of exercise schedule data presented by the exercise presentation device 10 will be described with reference to Fig. 18 and Fig. 19. Fig. 18 and Fig. 19 are diagrams for explaining an example of exercise schedule data presented by the exercise presentation device 10 according to the embodiment.
[0100] The exercise presentation device 10 incorporates the optimal exercise start timing and exercise type obtained through the verification of FIGS. 3 to 5 into the user's daily schedule based on the lifestyle habit information (daily schedule) included in the user data, and presents the resulting schedule to the user as exercise schedule data. Specifically, the exercise presentation device 10 incorporates the optimal exercise start timing into the user's daily schedule, starting from the user's habitual mealtimes. Note that the "meal time" may be either the start timing of a meal (meal start time) or the end timing of a meal (meal end time). For example, the exercise presentation device 10 may calculate the exercise start timing (exercise start time) by counting backward or forward from the start timing of a meal (meal start time), or may calculate the exercise start timing (exercise start time) by counting backward or forward from the end timing of a meal (meal end time).
[0101] For example, FIG. 18 shows a daily schedule presented by the exercise presentation device 10 to a 40-year-old male user. As shown in FIG. 18 , on weekdays, the user commutes to work after having breakfast from 7:00 to 7:30, and is suggested to use the commute time to do normal walking. The user is also suggested to take advantage of the free time during the lunch break after having lunch from 1:00 to 1:30 to do normal walking (strolling). The user is also suggested to take advantage of the free time during the lunch break after having dinner from 9:00 to 9:30 to do running, which is highly effective in suppressing blood sugar spikes. Furthermore, the user is also suggested to perform strength training or fast walking between meals and after meals to enhance the effects of insulin. The user is also suggested to stretch before going to bed at midnight.
[0102] On holidays, the user is suggested to have breakfast and lunch from 10:00 to 10:30, then go for a normal walk. The user is also suggested to have dinner from 19:00 to 19:30, then go for a run. The user is also suggested to do strength training or fast walking between meals and after meals to enhance the effects of insulin. The user is also suggested to do stretching before going to bed at 23:00.
[0103] 19, the user in this example is evaluated as having "standard" tenacity (e.g., an evaluation corresponding to "intermediate to advanced"). The exercise presentation device 10 uses the aerobic exercise plan determination table 152 shown in FIG. 16 to present an aerobic exercise plan corresponding to "intermediate to advanced," which includes performing 20 minutes of fast walking in the first month, 25 minutes of fast walking in the second month, and 30 minutes of fast walking in the third month.
[0104] In addition, similar to fast walking, for normal walking, the exercise presentation device 10 suggests, based on the user's tenacity (whole body endurance), that they perform 20 minutes of normal walking in the first month, 20 minutes of normal walking in the second month, and 20 minutes of normal walking in the third month.
[0105] In this example, the user's strength is evaluated as "strong" (e.g., an evaluation corresponding to "intermediate"). Using the strength training plan determination table 162 shown in FIG. 17 , the exercise presentation device 10 presents a strength training plan corresponding to "intermediate," which involves performing squats, calf raises, and trunk curls in the first month, performing squats, calf raises, and trunk curls in the second month, and performing squats, trunk curls, and normal push-ups in the third month.
[0106] In this example, the user's flexibility is evaluated as “stiff.” Based on the user's flexibility, the exercise presentation device 10 suggests performing leg stretches in the first month, leg and trunk stretches in the second month, and leg and upper limb stretches in the third month.
[0107] In this way, the exercise schedule data presented by the exercise presentation device 10 allows the user to obtain a new schedule that incorporates the exercise start timing and exercise type into the daily schedule that the user declared. By continuously exercising according to this schedule, the user can suppress the rise in blood glucose levels after meals and enhance the effectiveness of insulin. Furthermore, the exercise presentation device 10 allows the user to obtain the optimal exercise content according to their own athletic ability, so they can continue to exercise without straining themselves. Furthermore, the user can obtain exercise content that gradually increases the exercise intensity over time, such as in the first month, second month, and third month, so that by continuously exercising, they can gradually improve their athletic ability.
[0108] [Movement Presentation Processing Executed by the Motion Presentation Device] The movement presentation processing executed by the movement presentation device 10 will be described with reference to Fig. 20. Fig. 20 is a flowchart showing the movement presentation processing executed by the movement presentation device 10 according to the embodiment. Each step (hereinafter, indicated by "S") shown in Fig. 20 is realized by the calculation device 11 of the movement presentation device 10 executing the movement presentation program 131.
[0109] 20 , the arithmetic device 11 determines whether or not user data has been acquired from the user device 20 (S1). If the arithmetic device 11 has not acquired user data from the user device 20 (NO in S1), the arithmetic device 11 ends this process. On the other hand, if the arithmetic device 11 has acquired user data from the user device 20 (YES in S1), the arithmetic device 11 determines the timing to start exercise based on lifestyle habit information included in the user data (S2).
[0110] The calculation device 11 determines the type of exercise based on the exercise start timing determined in S2 (S3). Specifically, the calculation device 11 determines aerobic exercise or resistance exercise for exercises whose start timing is in the premeal period, determines aerobic exercise or resistance exercise as the type of exercise for exercises whose start timing is in the intermeal period, and determines aerobic exercise or resistance exercise for exercises whose start timing is in the postmeal period. In particular, when the calculation device 11 recommends aerobic exercise for exercises whose start timing is in the postmeal period, it may determine fast walking, which is most effective in suppressing blood glucose spikes. Furthermore, when the calculation device 11 recommends aerobic exercise for exercises whose start timing is in the premeal period, it may determine running, which is most effective in suppressing blood glucose spikes. Note that the calculation device 11 may determine resistance exercise for both the premeal period and the postmeal period, but may not determine resistance exercise for the postmeal period in order to avoid excessive exercise after a meal. In either case, the computing device 11 takes into consideration the user's daily schedule, determines and presents exercises that are effective in suppressing blood sugar spikes before or after meals, starting from mealtimes.
[0111] The computing device 11 may determine the type of exercise based on at least one of the user's athletic ability information, the user's health condition information, and the user's attribute information, in addition to the exercise start timing. For example, based on the user's health condition information, the computing device 11 may recommend fast walking rather than normal walking as exercise in the post-meal period for a user who experiences blood glucose spikes, in order to further suppress the rise in blood glucose spikes after meals. Furthermore, based on the user's health condition information, the computing device 11 may recommend running rather than fast walking as exercise in the pre-meal period for a user who experiences blood glucose spikes, in order to further suppress the rise in blood glucose spikes after meals. Furthermore, based on the user's attribute information, the computing device 11 may recommend normal walking, which has a lower exercise intensity than fast walking, as exercise in the post-meal period for an elderly or female user.
[0112] The computing device 11 determines the exercise content for the exercise type for each exercise start timing determined in S3 based on the athletic ability information included in the user data (S4). The computing device 11 determines the exercise content based on at least one of the user's athletic ability information, the user's health condition information, and the user's attribute information.
[0113] The calculation device 11 generates exercise schedule data by incorporating the exercise start timing determined in S2 and the exercise type (exercise content) determined in S3 and S4 into the daily schedule in the weekly lifestyle information included in the user data (S5).
[0114] The calculation device 11 outputs the exercise schedule data generated in S5 to the user device 20 (S6), and ends this process.
[0115] As described above, the exercise presentation device 10 can present the user with a daily schedule including exercise start timing and exercise type (exercise content) customized for each user, based on user data including the daily schedule and athletic ability input from the user device 20. This allows the user to perform optimal exercise at optimal exercise start timings based on mealtimes, in accordance with the daily schedule proposed by the exercise presentation device 10, in order to suppress an increase in blood glucose level.
[0116] [Modifications] The present disclosure is not limited to the above-described embodiments, and various modifications and applications are possible. Modifications that can be applied to the present disclosure will be described below.
[0117] The exercise presentation device 10 may present a daily schedule to a user using exercise schedule data, and then monitor whether the user is performing the exercise of the presented exercise content at the presented exercise start timing in accordance with the daily schedule.
[0118] For example, when starting to exercise, the user may input a signal to the user device 20 indicating that the user is about to start exercising, thereby notifying the exercise presentation device 10 from the user device 20 that the exercise has started. Furthermore, when finishing an exercise, the user may input a signal to the user device 20 indicating that the exercise has ended, thereby notifying the exercise presentation device 10 from the user device 20 that the exercise has ended. Furthermore, when finishing an exercise, the user may input details of the exercise performed into the user device 20, thereby notifying the exercise presentation device 10 from the user device 20 of the details of the exercise. Note that if the user device 20 is a device capable of measuring the amount of activity of the user, such as a smartwatch, the user device 20 may notify the exercise presentation device 10 of the exercise start timing and the exercise details based on the measured amount of activity of the user.
[0119] On the other hand, the exercise presentation device 10 may determine whether the user is performing the exercise of the presented exercise content at the presented exercise start timing in accordance with the daily schedule, based on the exercise start timing and exercise content acquired from the user device 20. Furthermore, if the user is not performing the exercise of the presented exercise content at the presented exercise start timing in accordance with the daily schedule, the exercise presentation device 10 may issue a warning to the user via the user device 20, for example, by transmitting a signal for issuing a warning to the user device 20.
[0120] The exercise presentation device 10 may also acquire information about the user's blood glucose level measured by the user a predetermined period of time (e.g., three months) after presenting the user with a daily schedule based on exercise schedule data. The exercise presentation device 10 may collect and accumulate user data, the exercise schedule data presented to the user, and blood glucose levels after the predetermined period has elapsed from multiple users, and generate a prediction model using the accumulated data. The exercise presentation device 10 may use the generated prediction model to predict the blood glucose level after the predetermined period has elapsed since presenting the exercise schedule data to the user, and present to the user the blood glucose level after the predetermined period has elapsed that was predicted when presenting the exercise schedule data.
[0121] [Aspect] The exercise presentation device 10 according to a first aspect includes an acquisition unit (communication device 14) that acquires user data indicating a user's daily schedule including mealtimes, a calculation unit (computation device 11) that determines an exercise start timing and an exercise type based on the user data acquired by the acquisition unit, and an output unit (communication device 14) that outputs the exercise start timing and exercise type determined by the calculation unit. The calculation unit determines an exercise start timing based on mealtimes based on the user data, and determines the exercise type according to the determined exercise start timing.
[0122] In the second aspect of the exercise presentation device 10, in the exercise presentation device 10 of the first aspect, the exercise start timing includes a post-meal start timing in the post-meal period, which is the period from the end of the meal to the time when a first predetermined time has elapsed, and the calculation unit determines aerobic exercise as the type of exercise at the post-meal start timing.
[0123] In the exercise presentation device 10 of the third aspect, in the exercise presentation device 10 of the first or second aspect, the exercise start timing includes a pre-meal start timing in a pre-meal period, which is a period from the start of a meal to a point going back a second predetermined time, and the calculation unit determines aerobic exercise as the type of exercise at the pre-meal start timing.
[0124] In a fourth aspect of the exercise presentation device 10, in the exercise presentation device 10 according to any one of the first to third aspects, the aerobic exercise includes a first aerobic exercise and a second aerobic exercise having a higher exercise intensity than the first aerobic exercise. The calculation unit determines the second aerobic exercise as the type of exercise.
[0125] In the exercise presentation device 10 according to a fifth aspect, in the exercise presentation device 10 according to the fourth aspect, the first aerobic exercise includes normal walking in which the user walks at a normal speed, and the second aerobic exercise includes fast walking in which the user walks at a speed faster than the normal speed.
[0126] In the exercise presentation device 10 according to a sixth aspect, in the exercise presentation device 10 according to the second or third aspect, the aerobic exercise includes a first aerobic exercise, a second aerobic exercise having a higher exercise intensity than the first aerobic exercise, and a third aerobic exercise having a higher exercise intensity than the second aerobic exercise. The calculation unit determines the third aerobic exercise as the exercise type.
[0127] In a seventh aspect of the exercise presentation device 10, in the exercise presentation device 10 according to the sixth aspect, the first aerobic exercise includes normal walking, in which the user walks at a normal speed. The second aerobic exercise includes fast walking, in which the user walks at a speed faster than the normal speed. The third aerobic exercise includes running.
[0128] In an eighth aspect of the exercise presentation device 10, the exercise start timing includes a postprandial start timing in a postprandial period, which is a period from the end of a meal to a point when a first predetermined time has elapsed. The calculation unit determines resistance exercise as the type of exercise at the postprandial start timing.
[0129] In a ninth aspect of the exercise presentation device 10, in the exercise presentation device 10 according to any one of the first to eighth aspects, the exercise start timing includes a pre-meal start timing in a pre-meal period, which is a period from the start of a meal to a point a second predetermined time prior. The calculation unit determines resistance exercise as the type of exercise for the pre-meal start timing.
[0130] In a tenth aspect of the exercise presentation device 10, the user data includes at least one of the user's athletic ability, the user's health condition, and the user's attributes. The calculation unit determines the type of exercise based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0131] In an eleventh aspect of the exercise presentation device 10, the user data includes at least one of the user's athletic ability, the user's health condition, and the user's attributes. The calculation unit determines the exercise content corresponding to the determined exercise type based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
[0132] In the exercise presentation device 10 of the 12th aspect, in the exercise presentation device 10 of any of the above-mentioned first to 11th aspects, the calculation unit determines the exercise content corresponding to the determined exercise type so that the exercise intensity increases gradually as the period of time passes.
[0133] The exercise presentation device 10 according to a thirteenth aspect is the exercise presentation device 10 according to any one of the first to twelfth aspects, wherein the calculation unit incorporates the exercise start timing and the exercise type into the schedule.
[0134] The exercise suggestion method according to the fourteenth aspect includes, as processing executed by a computer (arithmetic device 11), the steps of acquiring user data indicating a user's daily schedule including mealtimes (S1), determining an exercise start timing and an exercise type based on the user data acquired in the acquiring step (S2, S3), and outputting the exercise start timing and exercise type determined in the determining step (S6). The determining step includes the steps of determining an exercise start timing based on a mealtime based on the user data (S2), and determining an exercise type according to the determined exercise start timing (S3).
[0135] The exercise presentation system according to the fifteenth aspect includes a user device 20 and an exercise presentation device 10. The user device 20 receives user data indicating the user's daily schedule, including mealtimes, and outputs the user data to the exercise presentation device 10. The exercise presentation device 10 acquires the user data from the user device 20, determines exercise start timings based on the user data, with mealtimes as the starting point, and determines an exercise type according to the determined exercise start timings.
[0136] The embodiments disclosed herein should be considered to be illustrative in all respects and not restrictive. The scope of the present invention is defined by the claims, not by the above description, and is intended to include all modifications within the meaning and scope of the claims.
[0137] 1 Exercise presentation system, 10 Exercise presentation device, 11, 21 Computing device, 12, 22 Memory, 13, 23 Storage device, 14, 24 Communication device, 15 Media reading device, 20 User device, 26 Display, 27 Input device, 50 Storage medium, 131 Exercise presentation program, 132 Exercise presentation data, 151 Aerobic exercise level determination table, 152 Aerobic exercise plan determination table, 162 Muscle training plan determination table.
Claims
1. An exercise presentation device that presents an exercise start timing and an exercise type, comprising: an acquisition unit that acquires user data indicating a user's daily schedule including meal times; a calculation unit that determines the exercise start timing and the exercise type based on the user data acquired by the acquisition unit; and an output unit that outputs the exercise start timing and the exercise type determined by the calculation unit, wherein the calculation unit determines the exercise start timing starting from the meal time based on the user data, and determines the exercise type according to the determined exercise start timing.
2. The exercise presentation device of claim 1, wherein the exercise start timing includes a post-meal start timing in a post-meal period which is the period from the end of a meal to the time when a first specified time has elapsed, and the calculation unit determines aerobic exercise as the exercise type at the post-meal start timing.
3. The exercise presentation device of claim 1, wherein the exercise start timing includes a pre-meal start timing in a pre-meal period which is a period from the start of a meal to a point going back a second predetermined time, and the calculation unit determines aerobic exercise as the exercise type at the pre-meal start timing.
4. The exercise presentation device described in claim 2 or claim 3, wherein the aerobic exercise includes a first aerobic exercise and a second aerobic exercise having a higher exercise intensity than the first aerobic exercise, and the calculation unit determines the second aerobic exercise as the exercise type.
5. The exercise presentation device of claim 4, wherein the first aerobic exercise includes normal walking in which the user walks at a normal speed, and the second aerobic exercise includes fast walking in which the user walks at a speed faster than the normal speed.
6. The exercise presentation device of claim 2 or claim 3, wherein the aerobic exercise includes a first aerobic exercise, a second aerobic exercise having a higher exercise intensity than the first aerobic exercise, and a third aerobic exercise having a higher exercise intensity than the second aerobic exercise, and the calculation unit determines the third aerobic exercise as the exercise type.
7. The exercise presentation device of claim 6, wherein the first aerobic exercise includes normal walking in which the user walks at a normal speed, the second aerobic exercise includes fast walking in which the user walks at a speed faster than the normal speed, and the third aerobic exercise includes running.
8. The exercise presentation device of claim 1, wherein the exercise start timing includes a post-meal start timing in a post-meal period which is the period from the end of a meal to the time when a first specified time has elapsed, and the calculation unit determines resistance exercise as the exercise type at the post-meal start timing.
9. The exercise presentation device of claim 1, wherein the exercise start timing includes a pre-meal start timing in a pre-meal period which is a period from the start of a meal to a point going back a second predetermined time, and the calculation unit determines resistance exercise as the exercise type at the pre-meal start timing.
10. An exercise presentation device as described in any one of claims 1 to 3, claim 8, and claim 9, wherein the user data includes at least one of the user's athletic ability, the user's health condition, and the user's attributes, and the calculation unit determines the exercise type based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
11. An exercise presentation device as described in any one of claims 1 to 3, claim 8, and claim 9, wherein the user data includes at least one of the user's athletic ability, the user's health condition, and the user's attributes, and the calculation unit determines exercise content corresponding to the determined exercise type based on at least one of the user's athletic ability, the user's health condition, and the user's attributes.
12. An exercise presentation device as described in any one of claims 1 to 3, claim 8, and claim 9, wherein the calculation unit determines exercise content corresponding to the determined exercise type so that the exercise intensity increases gradually over a period of time.
13. The exercise presentation device according to any one of claims 1 to 3, 8 and 9, wherein the calculation unit incorporates the exercise start timing and the exercise type into the schedule.
14. An exercise presentation method for presenting an exercise start timing and an exercise type by a computer, the process executed by the computer comprising: acquiring user data indicating a user's daily schedule including meal times; determining the exercise start timing and the exercise type based on the user data acquired by the acquiring step; and outputting the exercise start timing and the exercise type determined by the determining step, the determining step comprising: determining the exercise start timing based on the user data, starting from the meal time; and determining the exercise type according to the determined exercise start timing.
15. An exercise presentation system that presents an exercise start timing and an exercise type, comprising: a user device; and an exercise presentation device, wherein the user device accepts user data indicating the user's daily schedule including meal times and outputs the user data to the exercise presentation device, and the exercise presentation device acquires the user data from the user device, determines the exercise start timing starting from the meal time based on the user data, and determines the type of exercise according to the determined exercise start timing.
Citation Information
Patent Citations
Information processing system, information processing method, and program
JP2017162354A
Method and apparatus for insulin administration guidance and decision support for exercise in diabetic patients
JP2022527767A
