Exercise community formation system, exercise community formation method, and program

Abstract

To create a habit of multiple members doing the same motion item together at the same time and to make the habit last for a long time.SOLUTION: A motion community formation device 2 includes a motion-related information acquisition part 10 that acquires motion-related information for each of a plurality of members 4 belonging to a specific community, an extraction part 13 that extracts at least two or more members 4 from the plurality of members 4 based on motion related information for each of the plurality of members 4, and an output part 14 that outputs the extracted results. The motion-related information indicates the proficiency level of the corresponding member 4 for each motion item and a time zone at which the corresponding member 4 can be assigned to motion.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an exercise community forming system, an exercise community forming method, and a program. [Background technology]

[0002] Patent Document 1 discloses an information processing device that acquires sensor data obtained by sensing members belonging to a specific community and automatically estimates the life rhythms of the members belonging to the specific community based on the sensor data. Life rhythms refer to periodic life activities such as wake-up time, bedtime, meal time, working time, exercise time, bath time, toilet time, media viewing time, and family time. The information processing device presents the estimation results of the life rhythms of the members belonging to the specific community. The information processing device searches for people in other communities who meet the conditions based on the estimated life rhythms. For example, the information processing device searches for and presents people who run during the same time period. This makes it possible to create an opportunity for people who perform the same exercise during the same time period to perform the exercise together. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2019 / 146195 Summary of the Invention [Problem to be solved by the invention]

[0004] However, even when multiple members began to practice the same exercise subject together at the same time, this did not necessarily last long.

[0005] An object of the present disclosure is to provide a technology that allows multiple members to create a habit of doing the same type of exercise together at the same time and to maintain that habit for a long time. [Means for solving the problem]

[0006] According to a first aspect of the present disclosure, an exercise-related information acquisition unit that acquires exercise-related information of each of a plurality of members belonging to a specific community, the exercise-related information indicating the corresponding member's proficiency in at least one or more exercise subjects and a time period that the corresponding member can allocate to exercise; an extracting unit that extracts at least two members from the plurality of members based on the exercise-related information of each of the plurality of members; an output unit that outputs a result of the extraction; Including, An exercise community formation system is provided. According to the above configuration, a plurality of members can develop a habit of doing the same type of exercise together at the same time, and can maintain that habit for a long time.

[0007] The extraction unit is The at least two or more members can allocate the same time slot for exercise; Between the at least two or more members, there is a common exercise subject such that the difference in proficiency level satisfies a predetermined condition. At least two or more of the members may be extracted. According to the above configuration, a plurality of members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0008] The method further includes a personality information acquisition unit that acquires personality information of each of the plurality of members, The extraction unit may extract at least two members from the plurality of members based on the exercise-related information and the personality information of each of the plurality of members. According to the above configuration, a plurality of members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0009] A family structure information acquisition unit that acquires family structure information of each of the plurality of members, The extraction unit may extract at least two members from the plurality of members based on the exercise-related information and the family structure information of each of the plurality of members. According to the above configuration, a plurality of members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0010] The exercise-related information may further indicate the corresponding member's purpose for engaging in exercise. According to the above configuration, a plurality of members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0011] The exercise-related information may further indicate an acceptable exercise load for the corresponding member. According to the above configuration, a plurality of members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0012] The level of proficiency may correspond to the number of years of experience in a corresponding sports subject. According to the above configuration, the proficiency level is determined objectively.

[0013] The level of proficiency may correspond to whether or not a specific movement in a corresponding exercise subject has been mastered. According to the above configuration, the proficiency level is determined objectively.

[0014] According to a second aspect of the present disclosure, The computer acquiring exercise-related information for each of a plurality of members belonging to a specific community, the exercise-related information indicating the corresponding member's proficiency in at least one or more exercise subjects and a time period that the corresponding member can allocate to exercise; extracting at least two members from the plurality of members based on the exercise-related information of each of the plurality of members; outputting the results of the extraction; A method for forming an athletic community is provided. According to the above method, it is possible to create a habit of multiple members doing the same type of exercise together at the same time, and to make the habit last longer. A program is provided that causes a computer to execute the above-mentioned exercise community formation method. Effect of the Invention

[0015] According to the present disclosure, it is possible to create a habit of multiple members doing the same type of exercise together at the same time, and to make that habit last longer. [Brief description of the drawings]

[0016] [Figure 1] FIG. 1 is a schematic diagram illustrating the configuration of a community system. [Diagram 2] FIG. 2 is a functional block diagram of the exercise community forming device. [Diagram 3] FIG. 4 is an explanatory diagram of member information. [Figure 4] 1 is a control flow of an exercise community formation device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, an embodiment of the present disclosure will be described with reference to FIGS.

[0018] FIG. 1 shows a schematic configuration diagram of a community system 1. As shown in FIG. 1, the community system 1 includes an exercise community forming device 2 and a plurality of UEs 3. The plurality of UEs 3 are configured to be capable of two-way communication with the exercise community forming device 2, typically via an Internet line. The plurality of UEs 3 are information processing terminals owned by a plurality of members 4, respectively. The plurality of members 4 belong to a specific community. Belonging to a specific community means, for example, living in the same area, working at the same place, or using the same SNS service.

[0019] 2 is a functional block diagram of the exercise community forming device 2. As shown in FIG. 2, the exercise community forming device 2 includes a central processing unit (CPU) 2a as a central processing unit, a random access memory (RAM) 2b that is readable and writable, and a read only memory (ROM) 2c that is readable only. The exercise community forming device 2 further includes a hard disk drive (HDD) 2d and a liquid crystal display (LCD) 2e. The CPU 2a reads and executes a control program stored in the ROM 2c, so that the control program causes the hardware such as the CPU 2a to function as an exercise-related information acquisition unit 10, a personality information acquisition unit 11, a family structure information acquisition unit 12, an extraction unit 13, and an output unit 14.

[0020] The exercise-related information acquisition unit 10 acquires exercise-related information of each of the multiple members 4. Specifically, each member 4 inputs his / her own exercise-related information to the UE 3. The exercise-related information acquisition unit 10 acquires the exercise-related information from the UE 3. The exercise-related information acquisition unit 10 stores the acquired exercise-related information in the HDD 2d.

[0021] 3 shows member information of each member 4 stored in the HDD 2d. The member information includes exercise-related information 20, personality information 21, and family structure information 22.

[0022] As shown in FIG. 3, the exercise-related information 20 indicates the corresponding member 4's proficiency level 20a for each exercise subject, the time periods 20b that the corresponding member 4 can allocate to exercise, the amount of exercise load 20c that the corresponding member 4 can accept, and the corresponding member 4's purpose for exercising 20d.

[0023] "Sports 1" to "Sports 5" shown in FIG. 3 are sports that can be easily undertaken in spare time, and are typically tennis, golf, running, cycling, and muscle training (workout).

[0024] The level of proficiency for each sport may typically be expressed as a number ranging from 0 to 100. In this embodiment, a larger number indicating the level of proficiency 20a indicates a higher degree of proficiency.

[0025] The member 4 may directly input the level of proficiency for each type of exercise on the UE 3.

[0026] Alternatively, the exercise-related information acquisition unit 10 may determine the proficiency level for each exercise category according to the number of years of experience that the member 4 has input for each exercise subject on the UE 3. For example, if the member 4 inputs on the UE 3 that he / she has been playing tennis for 15 years, the exercise-related information acquisition unit 10 may determine the tennis proficiency level to be 60 or higher. Also, for example, if the member 4 inputs on the UE 3 that he / she has just started running last month, the exercise-related information acquisition unit 10 may determine the running proficiency level to be 5 or lower.

[0027] Furthermore, the exercise-related information acquisition unit 10 may determine the proficiency level for each exercise subject depending on whether or not the member 4 has mastered a specific movement input on the UE 3. For example, if the member 4 inputs on the UE 3 that "I can hit a topspin serve in tennis," the exercise-related information acquisition unit 10 may determine the tennis proficiency level to be 70 or higher. Also, for example, if the member 4 inputs on the UE 3 that "I can complete a full marathon," the exercise-related information acquisition unit 10 may determine the running proficiency level to be 80 or higher.

[0028] Member 4, as shown in Figure 3, has a proficiency level of 72 in Sport 1 and 92 in Sport 2, and his proficiency levels in other physical education subjects are all low.

[0029] The time periods that member 4 in FIG. 3 can assign to exercise are "6:00-9:00" and "21:00-24:00".

[0030] The acceptable exercise stress amount for member 4 shown in Fig. 3 is 800 kcal / day. The acceptable exercise stress amount for member 4 means the amount of exercise stress that member 4 can accept in one exercise session.

[0031] The reasons for exercising are typically classified into five categories. The five categories are typically "stress relief," "diet," "health improvement," "muscle building," and "killing time." The reason for exercising for member 4 shown in FIG. 3 is "diet (category 2)."

[0032] The personality information acquisition unit 11 acquires personality information 21 of each of the multiple members 4. Specifically, each member 4 inputs its own personality information 21 to the UE 3. The personality information acquisition unit 11 acquires the personality information 21 from the UE 3. The personality information acquisition unit 11 stores the acquired personality information in the HDD 2d.

[0033] The personality information is typically the Big Five information, which is composed of five trait values: "openness," "agreeableness," "conscientiousness," "extraversion," and "psychological stability." The trait values ​​can typically be expressed as numbers from 0 to 10. Member 4, as exemplified in FIG. 3, is extroverted and conscientious, but lacks openness and agreeableness.

[0034] The family structure information acquisition unit 12 acquires the family structure information 22 of each of the multiple members 4. Specifically, each member 4 inputs his / her own family structure information 22 to the UE 3. The family structure information acquisition unit 12 acquires the family structure information 22 from the UE 3. The family structure information acquisition unit 12 stores the acquired family structure information in the HDD 2d.

[0035] The family structure information 22 typically indicates whether the member has a spouse and how many children the member has. The member 4 shown in FIG. 3 has a spouse and two children.

[0036] The extraction unit 13 extracts at least two members 4 from the plurality of members 4 based on the exercise-related information 20 and personality information 21 and family structure information 22 of each of the plurality of members 4 .

[0037] (Extraction based on exercise-related information 20) The extraction unit 13 extracts at least two or more members so that at least two or more members can allocate the same time period to exercise, and there is a common exercise subject between at least two or more members such that the difference in proficiency between them satisfies a predetermined condition. Here, "the difference in proficiency satisfies a predetermined condition" typically means, but is not limited to, that the difference in proficiency is less than a first threshold. The first threshold is typically, but is not limited to, 5, 10, or 15.

[0038] For example, in the case of tennis, it would be difficult for a member 4 who just started playing tennis last month and a member 4 who has participated in a prefectural tennis tournament to actually enjoy tennis together, since there is too much difference in their tennis proficiency levels.In contrast, a member 4 who has played tennis for five years and a member 4 who has played tennis for seven years would likely be able to enjoy tennis together, since there is not much difference in their tennis proficiency levels.

[0039] Therefore, when the extraction unit 13 extracts at least two or more members as described above, the extracted members 4 will be able to enjoy the same exercise subject together for a long period of time in their free time.

[0040] The extraction unit 13 may further narrow down the members 4 to be extracted so that the purpose of exercising for at least two or more members 4 is the same. This will create a relationship between the extracted members 4 where they encourage each other to achieve the same purpose, and they will be able to enjoy the same exercise class together in their free time for a long period of time.

[0041] The extraction unit 13 may further narrow down the members 4 to be extracted so that the difference in the amount of exercise stress that each of at least two or more members 4 can tolerate is less than a predetermined value. This allows the extracted members 4 to exercise at an amount of exercise stress that is comfortable for each of them, and they will be able to enjoy the same exercise subject together for a long period of time in their free time.

[0042] (Extraction based on personality information 21) The extraction unit 13 extracts at least two or more members so that the personalities of the at least two or more members are similar to each other. Specifically, when the differences in the five characteristic values ​​between member A and member B are all 3 or less, the extraction unit 13 determines that the personalities of member A and member B are similar to each other, and extracts member A and member B from the multiple members 4. Since member A and member B have similar personalities, they will likely be able to enjoy the same exercise class together for a long period of time in their free time.

[0043] (Extracted based on family composition information 22) The extraction unit 13 extracts at least two or more members so that the family structures of the at least two or more members are similar to each other. Specifically, when the presence or absence of a spouse and the presence or absence of children match between member C and member D, the extraction unit 13 determines that the family structures of member C and member D are similar to each other, and extracts member C and member D from the multiple members 4. Since member C and member D have similar family structures, they will likely get along well as a family.

[0044] Then, the extraction unit 13 extracts at least two members 4 from the multiple members 4 based on the extraction result based on the exercise-related information 20, the extraction result based on the personality information 21, and the extraction result based on the family structure information 22. In this embodiment, the extraction unit 13 prioritizes the extraction result based on the exercise-related information 20 and corrects it with the extraction result based on the personality information 21 and the extraction result based on the family structure information 22, thereby extracting at least two members 4 from the multiple members 4.

[0045] For example, if the extraction results based on the exercise-related information 20 are members E, F, and G, the extraction results based on the personality information 21 are members E, F, G, and H, and the extraction results based on the family composition information 22 are members F, G, and H, the extraction unit 13 may extract members F and G, who are at least members included in the extraction results based on the exercise-related information 20 and are also included in the extraction results based on the personality information 21 and the extraction results based on the family composition information 22.

[0046] The output unit 14 outputs the result of extraction by the extraction unit 13. Specifically, the output unit 14 outputs the result of extraction to the UE 3 of the multiple members 4 extracted by the extraction unit 13. Alternatively, the output unit 14 may output the result of extraction to the LCD 2e. In the latter case, the multiple members 4 can check who has been extracted by checking the LCD 2e.

[0047] The output unit 14 may simultaneously output the member IDs of the multiple members 4 extracted by the extraction unit 13. The extraction result may simultaneously output time periods that can be assigned to exercise that are common to the multiple members 4 extracted by the extraction unit 13. The extraction result may simultaneously output exercise subjects that the multiple members 4 extracted by the extraction unit 13 are equally skilled in.

[0048] Next, the operation of the exercise community formation device 2 will be described.

[0049] S100: First, the exercise-related information acquiring unit 10 acquires the exercise-related information of each of the multiple members 4.

[0050] S110: Next, the personality information acquiring unit 11 acquires personality information of each of the plurality of members 4.

[0051] S120: Next, the family structure information acquisition unit 12 acquires the family structure information of each of the multiple members 4.

[0052] S130: Next, the extraction unit 13 extracts at least two members from the plurality of members 4 based on the exercise-related information, personality information, and family structure information of each of the plurality of members 4.

[0053] S140: Then, the output unit 14 outputs the result of the extraction by the extraction unit 13.

[0054] After that, the extracted members 4 will contact each other and do the same type of exercise together at the same time. At this time, since the members 4 have similar levels of proficiency, they will be able to enjoy the type of exercise without any problems, and the habit of exercising together will continue for a long time.

[0055] The embodiment of the present disclosure has been described above. The embodiment has the following features.

[0056] The exercise community forming device 2 (exercise community forming system) includes an exercise-related information acquiring unit 10 that acquires exercise-related information of each of a plurality of members 4 belonging to a specific community, an extracting unit 13 that extracts at least two or more members 4 from the plurality of members 4 based on the exercise-related information of each of the plurality of members 4, and an output unit 14 that outputs the extraction results. The exercise-related information indicates the corresponding member 4's proficiency in each exercise subject and the time period that the corresponding member 4 can allocate to exercise. With the above configuration, it is possible to create a habit of multiple members 4 doing the same exercise type together at the same time, and to maintain the habit for a long time. In the above embodiment, the exercise-related information indicates the proficiency of the corresponding member 4 in each of the five exercise subjects. However, instead of this, the exercise-related information may indicate the proficiency of the corresponding member 4 in one or more exercise subjects. In other words, the exercise-related information may indicate the proficiency of the corresponding member 4 in at least one or more exercise subjects.

[0057] Furthermore, the extraction unit 13 extracts at least two or more members 4 such that at least two or more members 4 can allocate the same time period to exercise, and there is a common exercise subject between at least two or more members 4 such that the difference in proficiency level satisfies a predetermined condition. With the above configuration, it is possible to effectively maintain the habit of multiple members 4 doing the same type of exercise together at the same time period.

[0058] The exercise community forming device 2 further includes a personality information acquisition unit 11 that acquires personality information of each of the multiple members 4. The extraction unit 13 extracts at least two members from the multiple members 4 based on the exercise-related information and personality information of each of the multiple members 4. The above configuration realizes a less stressful relationship, so that the multiple members 4 can effectively maintain the habit of doing the same type of exercise together at the same time.

[0059] The exercise community forming device 2 further includes a family structure information acquiring unit 12 that acquires family structure information of each of the multiple members 4. The extracting unit 13 may extract at least two members from the multiple members 4 based on the exercise-related information and family structure information of each of the multiple members 4. With the above configuration, family relationships are fostered, and the multiple members can effectively maintain the habit of doing the same type of exercise together at the same time.

[0060] The exercise-related information may further indicate the purpose of the corresponding member to exercise. According to the above configuration, a relationship of encouraging each other to achieve the same purpose will be developed among the extracted members 4, so that they will be able to enjoy the same exercise subject together for a long time in their free time.

[0061] The exercise-related information may further indicate the amount of exercise load that the corresponding member can tolerate. Since the extracted members 4 can exercise at an amount of exercise load that is comfortable for each of them, they will be able to enjoy the same exercise subject together for a long period of time in their free time.

[0062] The degree of proficiency may correspond to the number of years of experience in the corresponding exercise subject. According to the above configuration, the degree of proficiency is objectively determined.

[0063] The degree of proficiency may correspond to whether or not a specific movement in a corresponding exercise subject has been mastered. According to the above configuration, the degree of proficiency is objectively determined.

[0064] The exercise-related information acquiring unit 10 may acquire the exercise-related information, personality information, and family composition information from a storage medium such as a CD-ROM or DVD-ROM instead of from the UE 3 owned by each member 4.

[0065] The exercise community forming device 2 may be realized by a single computer, or may be realized by distributed processing using a plurality of computers.

[0066] In the above example, the program can be stored and provided to the computer using various types of non-transitory computer readable media. The non-transitory computer readable media includes various types of tangible storage media. Examples of the non-transitory computer readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives) and magneto-optical recording media (e.g., magneto-optical disks). Examples of the non-transitory computer readable media further include CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory (e.g., mask ROM. Examples of the non-transitory computer readable media further include PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, and RAM (random access memory). The program may also be provided to the computer by various types of transitory computer readable media. Examples of the transitory computer readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path. [Explanation of symbols]

[0067] 1. Community System 2. Device for forming movement communities 2a CPU2a 2b RAM2b 2c ROM2c 2d HDD2d 2e LCD2e 3. UE 4 Members 10 Exercise-related information acquisition unit 11 Personality information acquisition department 12 Family structure information acquisition department 13 Extraction part 14 Output section 20 Exercise-related information 20a Proficiency 20b Time Zone 20c exercise load amount 20d purpose 21 Personality Information 22 Family Composition Information

Claims

1. an exercise-related information acquisition unit that acquires exercise-related information of each of a plurality of members belonging to a specific community, the exercise-related information indicating the corresponding member's proficiency in at least one or more exercise subjects and a time period that the corresponding member can allocate to exercise; A family structure information acquisition unit that acquires family structure information of each of the plurality of members; an extraction unit that extracts at least two members from the plurality of members based on the exercise-related information and the family structure information of each of the plurality of members; an output unit that outputs a result of the extraction; Including, A system for forming movement communities.

2. The exercise community formation system according to claim 1, The extraction unit is The at least two or more members can allocate the same time slot for exercise; In order to have a common exercise subject between the at least two or more members such that the difference in proficiency level satisfies a predetermined condition, Extracting the at least two members; A system for forming movement communities.

3. The exercise community formation system according to claim 1, The method further includes a personality information acquisition unit that acquires personality information of each of the plurality of members, The extraction unit extracts at least two members from the plurality of members based on the exercise-related information and the personality information of each of the plurality of members. A system for forming movement communities.

4. The exercise community formation system according to claim 1, The exercise-related information further indicates the purpose of the corresponding member's exercise. A system for forming movement communities.

5. The exercise community formation system according to claim 1, The exercise-related information further indicates an acceptable exercise load for the corresponding member. A system for forming movement communities.

6. The exercise community formation system according to claim 1, The level of proficiency corresponds to the number of years of experience in the corresponding sports subject. A system for forming movement communities.

7. The exercise community formation system according to claim 1, The proficiency level corresponds to whether or not a specific movement has been acquired in a corresponding exercise subject. A system for forming movement communities.

8. The computer acquiring exercise-related information for each of a plurality of members belonging to a specific community, the exercise-related information indicating the corresponding member's proficiency in at least one or more exercise subjects and a time period that the corresponding member can allocate to exercise; Acquire family structure information for each of the plurality of members; extracting at least two members from the plurality of members based on the exercise-related information and the family structure information of each of the plurality of members; outputting the results of the extraction; How to form a movement community.

9. A program for causing a computer to execute the exercise community formation method according to claim 8.

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