JP2013154069A - Exercise support system, exercise support method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an exercise support system, an exercise support method, and a program for determining an exercise classification according to an exercise purpose of a user according to an adoption frequency from among a plurality of exercise classifications including other exercise classifications.SOLUTION: In S13, a plurality of exercise classifications corresponding to purposes of exercises are determined as corresponding exercise classifications. Further, the exercise classifications included in the corresponding exercise classifications are provided with priority orders. In S15, adoption frequencies of the exercise classifications are determined according to the priority orders. The adoption frequencies of the exercise classifications of the high priority orders are not always determined to be a high frequency. Therefore, the case that the adoption frequency is set according to the priority order and the case that the high adoption frequency is set in an order different from the priority order are included. In S17, a pattern of exercises in which the exercise classifications are combined on the basis of the adoption frequency is determined. In S19, the exercises according to the exercise classifications are allocated and the exercises are generated.

Description

  The present invention relates to an exercise support apparatus, an exercise support method, and a program for presenting lesson information indicating a series of exercises for operating a body part of a user to support the user's exercise.

  2. Description of the Related Art Conventionally, there is known an apparatus that creates a model image of exercise that moves a user's body part and supports the user's exercise. An instructor who teaches the user's exercises operates the apparatus and creates a plurality of exercises suitable for the user's exercise purpose as exercise lessons (hereinafter also referred to as “exercises”). Such an apparatus requires an instructor to create an exercise each time a user is instructed.

  For example, there is a system described in Patent Document 1 as a conventional technique. In patent document 1, a standard weight is calculated | required from a user's basic information. A target weight loss calorie is set based on the difference between the current weight and the standard weight. Exercise according to the set target weight loss calorie is presented. In such a system, an exercise provided to the user is selected from an exercise program database prepared in advance.

JP 2008-132258 A

  However, in Patent Document 1, an exercise that meets a user's goal is mechanically selected and provided. For this reason, an exercise with the same content is introduced to the user every time, and the user gets bored with the exercise.

  The present invention has been made to solve the above problems. The present invention provides an exercise support device, an exercise support method, and a program for determining an exercise classification according to a user's exercise purpose according to the frequency of adoption from a plurality of exercise classifications including other exercise classifications. With the goal.

  According to the first aspect of the present invention, there is provided an exercise support apparatus for supporting exercise by presenting lesson information indicating exercise for moving a body part, and acquiring means for acquiring objective information indicating the purpose of exercise, The corresponding exercise classification is configured by using a plurality of exercise classifications suitable for the purpose information acquired by the acquisition means, and the lesson information includes a plurality of exercise classes constituting the corresponding exercise classification. For each of the exercise classifications included in the corresponding exercise classification, the adoption frequency indicating the degree of adoption of a predetermined exercise classification from among the exercise classifications included in the corresponding exercise classification according to the purpose information. First determination means for determining the exercise classification to be employed for the lesson information according to the adoption frequency determined by the first determination means For the second determining means and the motion classification determined by the motion classification to determine the motion included in a generation means for generating the lesson information, exercise support apparatus comprising a are provided.

  In the first aspect, the exercise classification to be adopted for the lesson information can be determined according to the adoption frequency determined according to the purpose information. Even if the objective information does not change, the exercise classification adopted for the lesson information varies depending on the adoption frequency, and the lesson information is not always composed of the same exercise classification. In other words, not only the exercise classification more suitable for the objective information but also the exercise classification far from the objective can be included in the lesson information according to the adoption frequency. Even if the purpose of the user's exercise does not change, the exercise included in the generated lesson information is not the same exercise every time. Therefore, the user is less likely to get bored with the exercise.

  In the first aspect, each of the plurality of exercise classifications included in the corresponding exercise classification is set with a priority, and an exercise with a high priority set is set with a high adoption frequency adopted for the lesson information. May be. In setting the adoption frequency of the exercise classification included in the corresponding exercise classification, it is possible to set a priority order for increasing the adoption frequency. Therefore, if the priority order is set according to the purpose information, an exercise classification suitable for the purpose of the exercise can be set to a higher adoption frequency.

  Furthermore, in the first aspect, the generation means determines a predetermined exercise based on the adoption frequency from a plurality of exercises included in the exercise classification determined by the second determination means, and the lesson Information may be generated. When determining the exercise included in the exercise classification, it can also be determined based on the frequency of adoption. Therefore, if the priority order is set according to the purpose information, it is possible to set the exercise frequency suitable for the purpose of the exercise to a higher adoption frequency.

  The first aspect is the time taken for execution of the lesson information, the third determining means for determining the required time according to the purpose of the exercise indicated by the purpose information, and the number of the corresponding exercise classification constituting the lesson information And fourth determination means for determining a number that can be executed within the required time determined by the third determination means. The time required for lesson information can be set according to the purpose of exercise. Therefore, it is easy to provide convenience for the time convenience when the user exercises.

  In the first aspect, the generation unit may configure the lesson information by adding a break time for a break without performing the exercise to a plurality of the corresponding exercise categories. By incorporating break time into lesson information, you can recover your fatigue and continue exercising. Therefore, the user's exercise effect can be further enhanced.

  In the first aspect, there are a plurality of types of exercise classification, and the first determining means determines the frequency of adoption of the exercise classification of the type corresponding to the purpose information according to the purpose of the exercise indicated by the purpose information. It may be set. By setting the exercise classification adoption frequency according to the purpose of the exercise, even the exercise classification far from the purpose of the exercise can be included in the structure of the lesson information depending on the frequency. Therefore, the user is less likely to get bored with the exercise.

  In the first aspect, the type of exercise classification includes at least aerobic exercise and muscle strengthening exercise, and the first determination means determines that the purpose of the exercise indicated by the objective information is greater than the aerobic exercise. If the purpose is to perform the necessary exercise, the employment frequency of the aerobic exercise is set higher than the employment frequency of the strength enhancing exercise, while the purpose of the exercise indicated by the purpose information requires a lot of muscle strength enhancement. If the purpose is to exercise, the employment frequency of the muscle strength enhancement exercise may be set higher than the employment frequency of the aerobic exercise.

  Even when aiming for an exercise that requires a lot of aerobic exercise, the lesson information can include not only the aerobic exercise as intended, but also a muscle strengthening exercise far from the objective. If you follow the lesson information where the frequency of muscular strengthening exercises is lower than that of aerobic exercises, exercises that meet most purposes can be performed. In addition, although it is far from the purpose, the exercise classified as the muscle strengthening exercise can be performed secondarily, and the user is less likely to get bored with the exercise. The same applies to the reverse case.

  In the first aspect, the apparatus may further include a changing unit that changes an operation speed for operating the body part by the exercise classified into the exercise classification constituting the lesson information according to the purpose information. By changing the motion speed of the motion according to the purpose of the motion, the effect of the motion obtained according to the motion speed can be enhanced.

  According to the second aspect of the present invention, in order to support exercise by presenting lesson information indicating exercise for moving a body part, the exercise support method is executed by a computer, and purpose information indicating the purpose of exercise is An acquisition step to be acquired, and a corresponding exercise classification configured by using a plurality of exercise classifications obtained by classifying a plurality of exercises, wherein the lesson information includes a plurality of the corresponding exercise classifications, and acquired in the acquisition step In accordance with the objective information, an adoption frequency indicating a degree of adoption of a predetermined exercise classification is determined for each of the exercise classifications included in the corresponding exercise classification from among the exercise classifications adopted for the corresponding exercise classification. And a second decision in which the exercise classification to be adopted for the lesson information is determined according to the adoption frequency decided in the first decision step. A step for determined the motion classification in the second determination step, the motion classification exercise is determined including, exercise support method comprising: a generation step of the lesson information is generated is provided.

  According to the third aspect of the present invention, there is provided a program for causing a computer to function as an exercise support device for supporting exercise by presenting lesson information indicating exercise for operating a body part. An acquisition step in which objective information to be acquired is acquired, and a corresponding exercise classification configured using a plurality of exercise classifications obtained by classifying a plurality of exercises, wherein the lesson information includes a plurality of the corresponding exercise classifications, In accordance with the purpose information acquired in the acquisition step, an adoption frequency indicating a degree of adoption of a predetermined exercise classification is selected for each exercise classification included in the corresponding exercise classification from among the exercise classifications adopted for the corresponding exercise classification. The first decision step to be determined and the operation to be adopted for the lesson information according to the adoption frequency decided in the first decision step. A second determination step in which a classification is determined, and a generation step in which the exercise classification included in the exercise classification is determined and the lesson information is generated for the exercise classification determined in the second determination step. A program is provided.

  By executing the process according to the exercise support method according to the second aspect on a computer, the user can obtain the same effect as that of the first aspect. Moreover, the user can acquire the effect similar to a 1st aspect by running the program which concerns on a 3rd aspect, and making a computer function as an exercise assistance apparatus.

It is a figure for demonstrating the structure of the exercise assistance apparatus. It is a figure which shows the schematic structure of an exercise purpose table. It is a figure which shows the schematic structure of a setting table. It is a figure which shows the schematic structure of a pattern table. It is a figure which shows the schematic structure of an exercise | movement setting table. It is a flowchart of the exercise creation process in the exercise support program. It is a flowchart of the lesson content determination process in an exercise support program.

  Hereinafter, an embodiment of the present invention will be described. In this embodiment, an exercise support apparatus 2 that distributes exercises will be described as an example with reference to the drawings. The drawings to be referred to are used to explain technical features that can be adopted by the present invention. For this reason, it is not the meaning limited to drawing to refer, but is only an explanatory example.

  First, the schematic configuration of the exercise support apparatus 2 will be described with reference to FIG. The exercise support device 2 shown in FIG. 1 is a device that can deliver exercises to the terminal device 5. For example, the exercise support apparatus 2 is a well-known personal computer (PC). The terminal device 5 is operated by the user 41. The exercise support apparatus 2 is executed by installing an exercise support program to be described later. As a result, the exercise support device 2 creates an exercise combining exercises that match the purpose of the exercise (object information) input by the user 41 in the terminal device 5 and transmits the exercise to the terminal device 5.

  In the present embodiment, the exercise is a series of exercises obtained by combining a plurality of exercises of one unit. Exercise is continued for a predetermined time. One unit of exercise is a specific exercise such as a march or a side step. The operation content is set so that one unit of exercise is completed in a short time of about 5 minutes. The user 41 is presented with a CG (computer graphics) video as a model for the user 41 to exercise. The CG image is an image in which an instructor 42 that performs an example of an exercise that moves a body part is reproduced by CG. The exercise support device 2 distributes CG video data that the instructor 42 exercises to the terminal device 5. The exercise data is streamed in a container format such as MP4 or 3GPP. The terminal device 5 reproduces the received data and displays it on the monitor 67 or the like. The user 41 performs exercise using the exercise operation performed by the displayed instructor 42 as an example.

  The exercise data is not limited to CG video data. For example, the contents of the exercise may be distributed as digital data that can be transmitted to the user by voice or text display. Alternatively, exercise CG data performed by the instructor 42 may be used. In this case, a 3D display program corresponding to the format of CG data is installed in the terminal device 5. And CPU of the terminal device 5 should just reproduce the CG image | video in which the instructor 42 models exercise. The exercise data is not limited to the streaming format, and may be distributed in a download format.

  The exercise support device 2 includes a CPU 21 that controls the control. A ROM 22, a RAM 23, and an input / output interface 25 are connected to the CPU 21 via a bus 24. The ROM 22 is a read-only storage device that stores programs such as BIOS executed by the CPU 21. The RAM 23 is a readable / writable storage device that temporarily stores data.

  A hard disk drive (HDD) 3, a disk drive 28, a communication unit 30, a display control unit 26, a keyboard 31 and a mouse 32 are connected to the input / output interface 25. When the disk ROM 29 is inserted, the disk drive 28 reads data and programs from the disk ROM 29. The disk ROM 29 is a storage medium that stores data, such as a CD-ROM or a DVD-ROM. An OS, an exercise support program (described later) and the like for operating the PC as the exercise support device 2 are stored in the disk ROM 29 and provided.

  An OS, an exercise support program, and the like read from the disk ROM 29 are installed in the HDD 3. In addition to the OS and programs, various tables and data used in the exercise support program are stored. Note that the OS, the program, and the like may be provided by being stored in another storage medium such as a flash ROM. Alternatively, it may be provided by downloading from another computer (not shown) connected via the network 10 such as the Internet.

  The display control unit 26 performs a drawing process for displaying on the monitor 27 an operation screen such as an OS or a program operated by the exercise support apparatus 2. The keyboard 31 and the mouse 32 are used when performing an operation on an operation screen such as an OS or an exercise support program operated by the exercise support device 2. The communication unit 30 is an interface for performing communication via the network 10 such as the Internet.

  Next, the terminal device 5 is a device that can be connected to the network 10 and can receive and reproduce exercise data distributed by the exercise support device 2. Examples of the terminal device 5 include a PDA, a mobile phone, a smartphone, a personal computer, a network-compatible monitor, and a game machine. In the present embodiment, a network-compatible monitor that can be connected to a network 10 such as the Internet and can communicate with the exercise support device 2 will be described as an example of the terminal device 5.

  The terminal device 5 is equipped with a microcomputer (not shown). The microcomputer reproduces the exercise data (CG image data in this embodiment) received from the exercise support device 2 and displays the CG image on the monitor 67. Also, music is output from the speaker 64. The user 41 performs an exercise to move the body part in accordance with the exercise image and the music. In addition, the user 41 uses a console 62 such as a remote controller to input personal information, a purpose of exercise (described later), and the like. The terminal device 5 transmits information input by the user 41 to the exercise support device 2 via the network 10. In addition, you may output the image | video and music of an exercise | movement to the monitor 27 and speaker (not shown) of the exercise assistance apparatus 2. FIG. In this way, it is possible to support the user's exercise by using only the exercise support device 2 without using the terminal device 5.

  The exercise support apparatus 2 having the above configuration employs a plurality of exercise classifications according to the purpose of exercise of the user 41 by executing an exercise support program (described later). Then, the exercise support device 2 configures exercise with exercises included in the predetermined exercise classification from the exercise classifications. The purpose of the exercise is input in order for the user 41 to receive an exercise according to the purpose. As shown in FIG. 2, several types of exercise purposes are prepared in advance so that the user 41 can select “A”, “B1”, “B2”, “C1”, and the like. Specific examples of “A”, “B1”, “B2”, “C1” and the like include improvement of metabolic (metabolic syndrome), shape-up, muscle strength enhancement, and the like.

  For example, B1 and B2 indicating the purpose of exercise are indicated by the same alphabet, and the added numbers are different. In the present embodiment, the alphabet indicates the main purpose, and the added number indicates the sub purpose. That is, B1 and B2 mean that the main purpose is the same and the sub-purpose is different. For example, “B1” has a main purpose of improving physical strength and a sub-purpose of improving endurance. “B2” has a main purpose of improving physical strength and a sub-purpose of improving muscle strength. In such cases, it is expressed using alphabets and numbers.

  The exercise classification indicates exercise classification. Specifically, the exercise classification indicates an exercise divided from a plurality of exercises according to the type of exercise. Specific examples of the exercise classification include “aero (aerobics) or step”, “fight”, “circuit”, “barbell exercise”, and the like. “Aero or step” includes movements such as “EX11”, “EX12”, and “EX13”. “EX11”, “EX12”, “EX13”, and the like indicate exercises related to aero or steps such as march and knee up. Similarly, “circuit” includes movements such as “EX31”, “EX32”, and “EX33”. “EX31”, “EX32”, “EX33” and the like are, for example, a front mambo, a one-leg debt lift, and the like.

  The exercise CG image includes CG images of individual exercises constituting the exercise. In the CG video, the instructor 42 moves the body based on the BPM (Beats Par Minute) of the music played as BGM as a reference for the operation speed. The user 41 uses the exercise performed by the instructor 42 as a model, and moves the body based on the BPM of the music. Note that a specific method for creating a CG image that reproduces the motion of the exercise is well known and will not be described. In the exercise support program, the BPM of the music can be changed. Therefore, the operating speed of the instructor 42 can be changed. For this reason, it is possible to adjust the load applied to the user 41 by exercise.

  The exercise is a series of exercises obtained by combining a plurality of exercises of one unit as described above. In the process of creating the exercise, a plurality of exercise classifications corresponding to the purpose of exercise of the user 41 are configured as corresponding exercise classifications. For each of the plurality of exercise classifications constituting the corresponding exercise classification, an adoption frequency indicating the degree to be adopted for the exercise is determined. Then, the exercise classification included in the corresponding exercise classification is adopted for the exercise according to the adoption frequency. The exercises included in each of the adopted exercise classifications are combined to form a series of exercises as exercises.

  In the present embodiment, the exercise frequency suitable for the purpose of exercise of the user 41 is employed for the exercise at a frequency (ratio) higher than other exercise categories. For example, it is assumed that there is an exercise classification (for example, exercise classification X) suitable for the purpose of exercise. It is assumed that there is another exercise classification more suitable for the purpose of exercise than the exercise classification X (for example, exercise classification Y). In this case, the frequency at which the exercise classification X is adopted for exercise is set lower than the exercise classification Y. However, the adoption frequency of the exercise classification X is not set to zero. Therefore, not only the exercise classification Y but also the exercise classification X is adopted for the exercise. In other words, the exercise mainly includes an exercise in which the user 41 can easily achieve the purpose of the exercise. In addition, the exercise includes a secondary exercise even if the exercise is difficult for the user 41 to achieve the exercise purpose.

  Hereinafter, an exercise support program executed by the exercise support apparatus 2 will be described. First, a database and a table referred to in the exercise support program will be described. The HDD 3 of the exercise support apparatus 2 stores a user information database (not shown) for storing user information and four tables shown in FIGS. 2 to 5 in a predetermined storage area.

  The user information is recorded in the user information database by performing user registration by operating the terminal device 5. Although details of user registration are omitted, in the present embodiment, the name (or nickname) of the user 41, an arbitrary password, age, sex, management information, and the like are registered in the user information database.

  The management information is information indicating contents to be noted regarding the body when the user 41 exercises according to exercise. In the present embodiment, in the process of creating the exercise, the exercise determined for the exercise is changed according to the management information. There is also a change in the time it takes to perform the exercise (lesson time). For example, for a user who is anxious about the heart, an exercise that ends within a predetermined time limit is created so that the heart is not burdened. For a user who is anxious about bones, for example, an exercise excluding exercise including jumps is created. In an exercise support program to be described later, exercise is generated by referring to management information registered in the user information database.

  In the “exercise purpose table” shown in FIG. 2, purpose information and corresponding exercise classifications and priorities associated with the purpose information are registered. Specifically, in the exercise purpose table, purpose information and corresponding exercise classification are registered in association with each other. The purpose information represents the purpose of the exercise input by the user 41, for example. On the other hand, the corresponding exercise classification includes one or more exercise classifications suitable for the purpose of the exercise indicated by the objective information. In the present embodiment, a predetermined exercise classification is determined from a plurality of exercise classifications registered as the corresponding exercise classification according to the priority order registered in the exercise purpose table.

  For example, consider a case where the purpose of exercise is “A”. An example in which the purpose of exercise “A” is “metabolic improvement” is given. Three types of exercise classifications “Aero or Step”, “Fighting”, and “Circuit” are determined based on the exercise purpose table as appropriate exercise categories appropriate for the purpose of exercise “metabolism improvement”. Furthermore, “aero or step”, “combat”, and “circuit” are registered in the exercise purpose table in order from the top as the priority of exercise classification according to the purpose of exercise. That is, “aero or step” is registered as an exercise classification more suitable for “metabolism improvement” than “combat” or “circuit”. “Fighting” is registered as an exercise classification more suitable for “metabolism improvement” than “circuit”. In the present embodiment shown in FIG. 2, the exercise types “first place”, “second place”, and “third place” are registered in the exercise purpose table in order from the highest priority.

  In this embodiment, eight types of “A”, “B1”, “B2”, “C1”, “C2”, “D”, “E1”, and “E2” are selectably registered as exercise purposes. ing. And according to the purpose of each exercise, the corresponding exercise classification and the priority of the exercise classification in the corresponding exercise classification are registered respectively. In the present embodiment, when the purpose of exercise is A, B, or C in the exercise purpose table, three types of exercise classification are set as the corresponding exercise classification. In the exercise purpose table, when the purpose of exercise is D or E, two types of exercise classification are set as the corresponding exercise classification.

  The “setting table” shown in FIG. 3 is a table for determining the frequency of adopting a plurality of exercise classifications included in the corresponding exercise classification for exercise. The setting table prevents the same recruitment frequency from being always determined even when the purpose of exercise is the same. Specifically, a plurality of levels and classes are set in the setting table. The classes for each of the levels indicate that the frequency of adoption of each exercise classification included in the corresponding exercise classification is different. When an exercise is generated, one of the classes is determined at each level, thereby changing the frequency of exercise classification.

  For example, consider a case where the purpose of exercise is any one of A, B (B1, B2), and C (C1, C2). In the first level, classes that can be determined differ depending on the purpose of exercise. For exercise purposes A, B, and C, the classes that can be determined at the first level are “1”, “2”, “3”, and “4”. Each class is determined according to a predetermined determination rate. In the example of FIG. 3, as shown in the first level of the setting table, the class of the first level is determined to be “1” at a determination rate of 6/10. Also, the first level class is determined to be “2” at a determination rate of 2/10, and the first level class is determined to be “3” or “4” at a determination rate of 1/10. In the first level, classes “5”, “6”, and “7” are not determined. Classes “5”, “6”, and “7” can be determined by assigning a predetermined determination rate when settings are made that can be determined in the initial setting (not shown) of the exercise support program. It becomes like this.

  Following the first level, a second level decision is made. In the second level, different classes can be determined according to the classes determined in the first level. For example, when class “1” is determined at the first level, class “1” is determined at a determination rate of 6/10 and class “2” is determined at a determination rate of 2/10 at the second level. The Further, the class “3” and the class “4” are each determined with a determination rate of 1/10. For example, when class “2” is determined at the first level, class “5” is determined at a determination rate of 7/10 at the second level. In addition, the class “6” is determined at a determination rate of 2/10, and the class “7” is determined at a determination rate of 1/10.

  The adoption frequency of each exercise classification included in the corresponding exercise classification is determined in association with the first-level class and the second-level class determined in this way. For example, when the first level class is determined to be “1” and the second level class is determined to be “1”, the adoption frequency of the first-ranked exercise classification is determined to be 4/7. The adoption frequency of the second place is determined to be 2/7, and the adoption frequency of the third place is determined to be 1/7. When the first-level class is “1” and the second-level class is “2”, the adoption frequency of the first-order exercise classification is determined to be 2/7. Also, the adoption frequency of the second place is determined to be 4/7, and the adoption frequency of the third place is determined to be 1/7. Thus, the frequency of adoption of the higher priority exercise classification is not necessarily determined to be high. Depending on the combination of the class determined at the first level and the class determined at the second level, a high adoption frequency may be determined according to priority. On the other hand, there is a case where a high adoption frequency is set in an order different from the priority order. In the setting table, it is set so that the higher adoption frequency in accordance with the priority order is determined at a higher determination rate than the higher adoption frequency in the order different from the priority order.

  Next, the “pattern table” shown in FIG. 4 is a table for determining exercise. Specifically, the pattern table registers an exercise classification suitable for each of a plurality of lesson times so that exercise can be executed within a predetermined lesson time. The pattern table also registers the execution order of a plurality of exercise classifications.

  In the pattern table, several types of exercises are registered for each combination of the first and second level classes determined in the setting table. In the example of FIG. 4, for example, when the first level class is “1” and the second level class is “2”, the class “1” and the class “2” can be determined at the third level. It has become. Different exercises are registered in the third level classes “1” and “2”. In each class at the third level, an exercise that can correspond to a plurality of lesson times is registered. In the example of FIG. 4, different exercises with lesson times “40 minutes”, “30 minutes”, and “20 minutes” are provided for each class at the third level and registered in the pattern table.

  For example, if the first level class is determined to be “1” and the second level class is determined to be “1” in the setting table, the third level class “1” is determined at a determination rate of ½. Similarly, the third level class “2” is determined with a probability of 1/2. The exercises of the third level class “1” and the exercises of the third level class “2” are both the first level class “1” and the second level class. The recruitment frequency determined when “1” is “1” is followed.

  For example, consider a case where the first level class is “1”, the second level class is “1”, the third level class is “1”, and the lesson time is 40 minutes. The exercises in this case are shown in the execution order “1” to “11” in FIG. First, warming up (WU) is executed in the execution order “1”. Next, exercises classified into the exercise classification of the first priority are executed twice as the execution order “2” to “3”. Then, a break (BK) is executed as the execution order “4”. Next, the exercise with the second highest priority is executed twice as the execution order “5” to “6”. Next, as the execution order “7”, the exercise with the third highest priority is executed once. Then, a break is executed as the execution order “8”. Finally, as the execution order “9” to “10”, the exercise with the highest priority is executed twice, and the cool-down (CD) is executed as the execution order “11”. This ends the exercise.

  As described above, in this embodiment, the exercise is configured by a plurality of exercise classifications. In the example of FIG. 4, the exercise of the lesson time “40 minutes” in the first level: class “1”, the second level: class “1”, and the third level: class “1” is, for example, the execution order “1”. -It is comprised by the exercise | movement classification of execution order "11". Furthermore, in this embodiment, the exercise | movement suitable for each exercise | movement classification is determined for every exercise | movement classification which comprises exercise. Hereinafter, the motion suitable for each motion classification is determined using FIG.

  The “exercise setting table” shown in FIG. 5 is a table that is referred to when exercising is assigned to each exercise classification constituting the exercise. In the present embodiment, each exercise classification includes a plurality of exercises. Specifically, exercise and management information are associated with the exercise setting table so that the exercise assigned to the exercise classification can be changed according to the management information. In the example of FIG. 5, “EX13” classified as “aero or step” includes a jump in its operation content. For this reason, the exercise “EX13” is changed to “EX11”, for example, so as not to be included in the exercise configuration presented to the user who is anxious about the bone. The jump “present” or “none” shown in FIG. 5 is an example of management information. In the exercise support program, the exercise load is adjusted by changing the BPM of the music. The exercise classification (specifically, barbell exercise, WU, BK, CD) and exercise that are not subject to BPM change are associated with BPM change “impossible”. In the example of FIG. 5, BPM change “permitted” or BPM change “impossible” is an example of management information.

  Next, the operation of the exercise support device 2 according to the execution of the exercise support program will be described with reference to FIGS. Hereinafter, each step of the flowchart is abbreviated as “S”.

  The main process (not shown) of the exercise support program is automatically executed when the OS of the exercise support apparatus 2 is activated. In the main processing, the above-described processing at the time of user registration and processing such as login of the user 41 are performed. When the user 41 receives an exercise presentation from the exercise support device 2, the user 41 operates the terminal device 5 to log in to the exercise support program. By the main processing, an input screen for the purpose of exercise (purpose information) and a desired lesson time is displayed on the monitor 67 of the terminal device 5. In the present embodiment, the objective information is presented so that eight types of exercise objectives preset in the exercise objective table (see FIG. 2) can be selected. The lesson time can be selected from 40 minutes, 30 minutes, and 20 minutes.

  In the main process, the exercise creation process shown in FIG. 6 is called. The CPU 21 waits for the purpose information input (selected) by the user 41 and the information of the desired lesson time in the terminal device 5 (S1: NO). When the objective information and lesson time information are received (S1: YES), the CPU 21 stores the objective information in the RAM 23. Further, referring to the user information database of the HDD 3, the CPU 21 acquires management information of the logged-in user 41 (S3). The CPU 21 stores the acquired management information in the RAM 23. Further, the CPU 21 provisionally sets the lesson time desired by the user 41 as the exercise lesson time presented to the user 41 (S5). The CPU 21 stores the lesson time in the RAM 23.

  Next, based on the management information acquired in S3, when the user 41 is a user who is anxious about the heart (S7: YES), the CPU 21 proceeds to S9. The CPU 21 compares the lesson time set in S5 with a predetermined value set in advance as data for the exercise support program (S9). If the lesson time is longer than the predetermined value (S9: YES), the CPU 21 changes the lesson time to the predetermined value and proceeds to S13 (S11). If the lesson time is within the predetermined value (S9: NO), the CPU 21 proceeds to S13 without changing the lesson time. In S7, when there is no concern about the heart of the user 41 (S7: NO), the CPU 21 proceeds to S13 without changing the lesson time. For example, when the user 41 desires a lesson time of 40 minutes, if the user 41 is uneasy about the heart, the lesson time is limited to 20 minutes, for example. If there is no anxiety about the heart of the user 41, the lesson time is set to 40 minutes as desired.

  The CPU 21 refers to the exercise purpose table (see FIG. 2) and acquires the corresponding exercise classification corresponding to the purpose of the exercise of the user 41 and the priority order of each exercise classification included in the corresponding exercise classification. The CPU 21 stores the acquired corresponding exercise classification and priority in the RAM 23 (S13). As described above, for example, if the purpose of exercise is “A”, three types of exercise classifications “Aero or Step”, “Fighting”, and “Circuit” are set as corresponding exercise classifications. The priority order is also set in the order of “aero or step”, “fight”, and “circuit” in the first, second, and third positions.

  Next, the CPU 21 refers to the setting table (see FIG. 3), and determines the first level class and the second level class according to the purpose of the user 41's exercise. Then, the CPU 21 determines the frequency of adoption of each exercise classification included in the corresponding exercise classification associated with the determined class (S15). The CPU 21 stores the determined adoption frequency in the RAM 23. Thus, the CPU 21 determines the first level class and the second level class according to the determination rate of the setting table. That is, the relationship between the priority order and the adoption frequency is determined by the determination rate. Therefore, the relationship between the priority order and the adoption frequency is not always a fixed relationship. For this reason, while the adoption frequency may be determined according to the priority order, the higher adoption frequency may be determined in an order different from the priority order. As described above, for example, when class “1” is determined at the first level and class “1” is determined at the second level, the adoption frequency of “aero or step”, “combat”, and “circuit” is as follows: In order, 4/7, 2/7, and 1/7 are determined.

  The CPU 21 refers to the pattern table (see FIG. 4) to determine the third level class according to the combination of the first and second level classes determined in S15. Then, the CPU 21 determines an exercise corresponding to the determined third level class and the lesson time set in S5 to S11. The CPU 21 stores the determined exercise in the RAM 23 (S17). As described above, for example, the exercise of the lesson time “40 minutes” in the first level: class “1”, the second level: class “1”, and the third level: class “1” is WU, first place, first place. , BK, 2nd place, 2nd place, 3rd place, BK, 1st place, 1st place, and CD are determined in this order.

  Next, the lesson content determination processing subroutine of S19 is called. In the lesson content determination process shown in FIG. 7, the CPU 21 sets the number of exercise categories to be applied to the exercise determined in S17 as the maximum number (S31). In the case of the exercise of lesson time “40 minutes” in the above first level: class “1”, second level: class “1”, third level: class “1”, “11” is set as the maximum number. The The CPU 21 sets 1 to the variable I (S33). As a continuation condition for the lesson content determination process, the CPU 21 repeats S37 to S53 while I is equal to or less than the maximum number (S35: YES).

  The CPU 21 first acquires the I-th exercise classification (S37). CPU21 refers to the exercise memorize | stored in RAM23, and acquires the exercise | movement classification whose execution order is Ith. And CPU21 acquires the exercise | movement of 1 unit corresponding to the acquired exercise | movement classification with reference to an exercise | movement setting table (refer FIG. 5) (S39). In this embodiment, exercises are assigned at random to exercise classification.

  CPU21 confirms with the exercise | movement setting table whether the acquired exercise | movement contains a jump in the operation | movement content (S41). If the action content does not include a jump (S41: NO), the CPU 21 assigns the acquired exercise to the exercise to be executed for the I-th exercise (S45) and stores it in the RAM 23. On the other hand, if the operation content includes a jump (S41: YES), the CPU 21 proceeds to S43. If the user 41 is a user who is anxious about the bone based on the management information acquired in S3 (S43: YES), the CPU 21 returns to S39 and acquires the exercise again. In S43, when there is no anxiety about the bone of the user 41 (S43: NO), the CPU 21 proceeds to S45.

  After assigning the exercise to the I-th exercise in S45, the CPU 21 refers to the purpose information stored in S1. Then, it is confirmed whether the purpose of the exercise is “B” or “C” (S47). If the purpose of the exercise is neither “B” nor “C” (S47: NO), the CPU 21 adds 1 to the variable I (S53) and returns to S35. If I is still less than or equal to the maximum number (S35: YES), the CPU 21 repeatedly executes S37 to S53 in order to assign the exercise in the next execution order to the exercise.

  In S47, when the purpose of the exercise is “B” or “C” (S47: YES), the CPU 21 refers to the exercise setting table. If the exercise classification of the exercise assigned to the exercise I in S45 is any one of barbell exercise (exercise to increase muscle strength using barbell), WU, BK, CD (S49: YES), The CPU 21 proceeds to S53. On the other hand, if the exercise classification assigned to the exercise I is not any of the barbell exercise, WU, BK, and CD (S49: NO), the CPU 21 proceeds to S51. The CPU 21 adds a predetermined value of BPM (S51), and proceeds to S53. As above, 1 is added to the variable I, and the process returns to S35. If I is still less than or equal to the maximum number, the CPU 21 repeats S37 to S53 and assigns the exercise in the next execution order to the exercise.

  The specific example of the process of S35-S53 is given. For example, exercise purpose is “B”, exercise of lesson time “40 minutes” in first level: class “1”, second level: class “1”, third level: class “1” is determined. Shall be. WU is set in the first execution order. The CPU 21 acquires from the exercise setting table one of exercises such as “EX51” corresponding to WU (for example, neck stretch, deep breath, etc.) (S39). The EX 51 does not include a jump in the operation content (S41). Also, the exercise classification is WU (S49). Therefore, EX51 is assigned first in the execution order in the exercise (S45).

  Next, I is added to “2” (S53), and the exercise classification with the first priority is adopted as the second in the execution order in the exercise. The exercise classification of the first priority determined in S13 is “Circuit”. The CPU 21 acquires one of the exercises such as “EX31” corresponding to the “circuit” (for example, EX31) (S39). EX31 does not include a jump in the operation content (S41: NO), and EX31 is assigned in the second execution order in the exercise. Since the purpose of the exercise is “B” (S47: YES) and the exercise classification is “Circuit” (S49: NO), the BPM of the exercise assigned second in the execution order in the exercise is added by a predetermined value (S51). . The exercise load by increasing the operation speed is increased.

  Similarly, EX32 is assigned to the third exercise in the order of execution in the exercise. Also, the fourth is assigned a break, and the fifth and sixth are assigned exercises corresponding to the second highest priority “fight”, for example, EX21 and EX22. Next, the exercise corresponding to the “aero or step” of the third highest priority, for example, EX13 is assigned. Here, EX13 includes a jump in the operation content (S41: NO). For example, if there is no anxiety about the bone of the user 41 in the management information (S43: NO), EX13 is assigned to the seventh exercise as it is. However, when there is anxiety about the bone of the user 41 (S43: YES), another exercise (for example, EX12) corresponding to the “aero or step” is acquired. For example, EX12 is assigned to the seventh.

  Next, a break is assigned to the eighth, and an exercise corresponding to the “circuit” having the highest priority, for example, EX33 and EX34, is assigned to the ninth and tenth. The eleventh is a CD, for example, EX61 is assigned. Thus, for example, exercise purpose: “B”, first level: class “1”, second level: class “1”, third level: class “1”, lesson time “40 minutes” Each exercise is assigned. In the above example, an exercise composed of EX51, EX31, EX32, break, EX21, EX22, EX13 (or EX12), break, EX33, EX34, and EX61 is created in order. The exercise classification that best matches the exercise purpose “B” of the user 41 is “circuit” having the highest priority. However, the exercises created can include exercises classified as “fighting” or “aero or step” other than “circuit”.

  If exercise is assigned to the exercise by repeating S37 to S53 and I is equal to or greater than the maximum number (S35: NO), the CPU 21 returns to the exercise creation process of FIG. The CPU 21 reproduces each motion constituting the created exercise with CG. The instructor 42 creates a CG video for performing an exercise as a model, and distributes it to the terminal device 5 of the user 41 (S21). As shown in FIG. 1, the terminal device 5 reproduces the exercise data distributed from the exercise support device 2 and displays a CG image on the monitor 67. The user 41 performs an exercise to move the body according to an exercise suited to the purpose of his / her exercise, using the displayed CG image as a model.

  As described above, the exercise support apparatus 2 according to the present embodiment can determine the exercise classification to be employed for exercise according to the adoption frequency determined according to the purpose information. Even if the objective information does not change, the exercise classification adopted for the exercise varies depending on the adoption frequency, and the exercise is not always composed of the same exercise classification. In other words, not only the exercise classification more suitable for the objective information but also the exercise classification far from the objective can be included in the exercise according to the adoption frequency. Even if the purpose of the user's exercise does not change, the exercise included in the generated exercise is not the same exercise every time. Therefore, the user is less likely to get bored with the exercise.

  Moreover, when setting the adoption frequency of the exercise classification included in the corresponding exercise classification, it is possible to set a priority order for increasing the employment frequency. Therefore, if the priority order is set according to the purpose information, an exercise classification suitable for the purpose of the exercise can be set to a higher adoption frequency. Furthermore, when determining the exercises included in the exercise classification, it can also be determined based on the adoption frequency. Therefore, if the priority order is set according to the purpose information, it is possible to set the exercise frequency suitable for the purpose of the exercise to a higher adoption frequency.

  You can also set exercise lessons according to your exercise goals. Therefore, it is easy to provide convenience for the time convenience when the user exercises. Also, by incorporating a break into the exercise, you can temporarily recover from fatigue and continue the exercise. Therefore, the user's exercise effect can be further enhanced. Further, by setting the frequency of exercise classification according to the purpose of the exercise, even an exercise classification far from the purpose of exercise can be included in the exercise configuration depending on the frequency. Therefore, the user is less likely to get bored with the exercise.

  Moreover, even when aiming at an exercise requiring a lot of aerobic exercise, the exercise can include not only the aerobic exercise as intended, but also a muscle strengthening exercise far from the objective. If you follow an exercise that uses lower strength than aerobic exercise, you can perform exercises that meet most purposes. In addition, exercises that are far from the purpose but are classified as muscular strength-enhancing exercises can also be performed as secondary exercises, and the user is less likely to get bored with the exercises. The same applies to the reverse case.

  In addition, by changing the exercise BPM according to the purpose of exercise, the effect of the exercise obtained according to the operation speed can be enhanced.

  In addition, the structure and operation | movement of the exercise assistance apparatus 2 of this embodiment demonstrated above are examples. It goes without saying that the present invention can be variously modified. In the present embodiment, the frequency of adoption of exercise classification is determined according to the priority order with reference to the setting table. Next, exercises were selected based on the frequency of exercise classification based on the pattern table. Then, based on the exercise setting table, the exercise is assigned to the exercise classification. This generated an exercise that was assigned exercise according to the frequency of adoption. Not limited to this, exercise classification may be adopted for exercise without using a pattern table. For example, in S17, the number of exercise classifications that can be employed for exercise is determined according to the lesson time. Then, exercise classification may be adopted for exercise according to the adoption frequency in the execution order until the obtained number is reached. In this case, the CPU 21 that determines the number of exercise classifications to be applied to the exercise corresponds to “fourth determination means”.

  In the present embodiment, the management information is information related to the heart and bones of the user 41. However, the present invention is not limited to this, and any information regarding the body that should be taken into consideration when exercising may be included. Further, when there is anxiety about the heart of the user 41, BPM may be subtracted.

  Examples of exercise classification are “aero or step”, “combat”, “circuit”, etc., but it is a more conceptual grouping such as “aerobic exercise”, “anaerobic exercise”, “muscle strengthening exercise”. You may classify. Or you may classify | categorize by smaller exercise | movement groups, such as "movement of an arm" and "movement of a leg." Of course, they may be mixed. The same exercise may be classified into a plurality of exercise classifications.

  In the exercise purpose table, a maximum of three types of exercise classification are included in the corresponding exercise classification according to the purpose of the exercise. However, for the sake of convenience, there are only three types of exercise classification included in the corresponding exercise classification. Therefore, any number of types may be used. Of course, all types of motion classification may be included as the corresponding motion classification. In this case, it is only necessary to set the priority order or the adoption frequency for each purpose of the exercise for all exercise classifications.

  In the exercise setting table, exercises are randomly assigned to exercise classifications. Not only this but adoption frequency may be set up for each exercise. An exercise may be assigned to the exercise classification based on the frequency of adoption. Further, in the case of assigning exercises to exercise classification, the same exercises may not be duplicated and determined as an exercise configuration. In addition, although the exercise of one unit is about 5 minutes, it may be longer or shorter. Moreover, it is good also considering the predetermined number of sets as 1 unit, without dividing | segmenting by time as 1 unit exercise | movement. Or it is good also as exercise | movement of 1 unit of exercise | movement which can ensure the exercise amount equivalent to the calorie consumption used as a standard.

  In addition, although there are eight types of exercises to be presented as selectable purpose information, any type may be used. In the process of determining the exercise pattern, the first, second, and third level classes were determined separately. However, the present invention is not limited to this, and it may be possible to determine the frequency of exercise classification and the exercise pattern with a single determination. The lesson time was 40 minutes, 30 minutes, or 20 minutes. Not only this but arbitrary time may be set up. The exercise classification is not limited to the classification exemplified in the exercise setting table, and an arbitrary classification may be provided.

  Exercises included warming up, resting, and cooling down. Exercise may not consist of warm-up, break, cool-down, and may consist only of exercise. Further, the exercise delivered from the exercise support apparatus 2 to the user may be data created in S19 and only assigned with exercise. That is, creation of video by CG may be performed on the terminal device 5 side.

  In the present embodiment, exercise corresponds to “lesson information” and lesson time corresponds to “required time”. The CPU 21 that acquires the target information in S1 corresponds to “acquiring means”. In S15, the CPU 21 that determines the adoption frequency of the classification information based on the setting table corresponds to the “first determination unit”. In S <b> 17, the CPU 21 that determines the exercise and adopts the exercise classification according to the adoption frequency corresponds to the “second determination unit”. In S <b> 19, the CPU 21 that assigns the exercise to the exercise classification and generates the exercise corresponds to “generating means”. In S5, the CPU 21 that sets the lesson time corresponds to the “third determining means”. In S <b> 51, the CPU 21 that changes the BPM for executing exercise corresponds to the “change means”.

2 Exercise support device 21 CPU

Claims (10)

An exercise support device for supporting exercise by presenting lesson information indicating exercise for moving a body part,
Acquisition means for acquiring purpose information indicating the purpose of exercise;
In the exercise classification obtained by classifying a plurality of exercises, a corresponding exercise classification is configured using a plurality of exercise classifications suitable for the purpose information acquired by the acquisition means,
The lesson information is composed of a plurality of the exercise classifications constituting the corresponding exercise classification,
First determining means for determining, for each of the exercise classifications included in the corresponding exercise classification, an adoption frequency indicating a degree of adoption of a predetermined exercise classification from among the exercise classifications included in the corresponding exercise classification according to the purpose information. When,
Second determination means for determining the exercise classification to be adopted for the lesson information according to the adoption frequency determined by the first determination means;
Generating means for generating the lesson information by determining an exercise included in the exercise classification for the exercise classification determined by the second determining means;
An exercise support apparatus comprising: A priority order is set for each of the plurality of exercise classifications included in the corresponding exercise classification,
The exercise support apparatus according to claim 1, wherein an exercise with a high priority set is set to have a higher adoption frequency adopted in the lesson information.   The generating means determines a predetermined exercise based on the adoption frequency from a plurality of exercises included in the exercise classification determined by the second determining means, and generates the lesson information. The exercise support apparatus according to claim 2. Third determination means for determining a time required for execution of the lesson information, and determining a required time according to the purpose of exercise indicated by the purpose information;
Fourth determination means for determining the number that can be executed within the required time determined by the third determination means as the number of corresponding exercise classifications constituting the lesson information;
The exercise support apparatus according to claim 1, further comprising:   The said generation | occurrence | production means comprises the said lesson information in addition to the said corresponding exercise | movement classification | category for the rest time which takes a break without performing the said exercise | movement. Exercise support device. There are multiple types of exercise classification,
6. The first determination unit according to claim 1, wherein the first determination unit sets the adoption frequency of the exercise classification of a type corresponding to the purpose information according to the purpose of the exercise indicated by the purpose information. The exercise support device according to 1. The types of exercise classification include at least aerobic exercise and muscle strength exercise,
The first determining means includes
When the purpose of the exercise indicated by the purpose information is to perform an exercise that requires a lot of aerobic exercise, while setting the adoption frequency of the aerobic exercise higher than the adoption frequency of the muscle strength enhancement exercise,
When the purpose of the exercise indicated by the purpose information is to perform an exercise that requires a lot of muscle strength enhancement, the adoption frequency of the muscle strength enhancement exercise is set higher than the adoption frequency of the aerobic exercise. The exercise support apparatus according to claim 6.   8. The apparatus according to claim 1, further comprising a changing unit configured to change an operation speed at which the body part is operated by the exercise classified in the exercise classification constituting the lesson information according to the purpose information. The exercise support device according to 1. An exercise support method executed by a computer for supporting exercise by presenting lesson information indicating exercise for moving a body part,
An acquisition step in which objective information indicating the purpose of exercise is acquired;
It is a corresponding exercise classification configured by using a plurality of exercise classifications obtained by classifying a plurality of exercises, and the lesson information includes a plurality of the corresponding exercise classifications,
For each of the exercise classes included in the corresponding exercise classification, an adoption frequency indicating the degree of adoption of a predetermined exercise classification from among the exercise classifications adopted for the corresponding exercise classification according to the purpose information acquired in the acquisition step. A first determination step determined in
A second determination step in which the exercise classification to be employed in the lesson information is determined according to the adoption frequency determined in the first determination step;
For the exercise classification determined in the second determination step, an exercise included in the exercise classification is determined, and the lesson information is generated, and
Exercise support method including. A program for presenting lesson information indicating movement for moving a body part to function as an exercise support device for supporting exercise,
On the computer,
An acquisition step in which objective information indicating the purpose of exercise is acquired;
It is a corresponding exercise classification configured by using a plurality of exercise classifications obtained by classifying a plurality of exercises, and the lesson information includes a plurality of the corresponding exercise classifications,
For each of the exercise classes included in the corresponding exercise classification, an adoption frequency indicating the degree of adoption of a predetermined exercise classification from among the exercise classifications adopted for the corresponding exercise classification according to the purpose information acquired in the acquisition step. A first determination step determined in
A second determination step in which the exercise classification to be employed in the lesson information is determined according to the adoption frequency determined in the first determination step;
For the exercise classification determined in the second determination step, an exercise included in the exercise classification is determined, and the lesson information is generated, and
A program that executes

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