Information processing apparatus, content providing method, and program

The information processing device identifies similar users with improved form history to provide targeted training content, allowing users to anticipate and enhance their training effects.

JP2026021202APending Publication Date: 2026-02-10CASIO COMPUTER CO LTD
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Patent Information

Application Number
JP2024122901
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-07-29
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

Existing form improvement support methods do not allow users to anticipate the gradual effects of their training.

Method used

An information processing device that detects similar users based on user information, determines recommended users who have shown form improvement through training history, and provides content related to their training to the target user.

Benefits of technology

Enables the target user to anticipate the gradual effects of their training by receiving content from recommended users who have improved their form, facilitating informed training decisions.

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Abstract

To provide an information processor, a content providing method and a program, allowing a user to know stepwise effects of training by support of form improvement in advance.SOLUTION: The similar member detection unit 132 detects similar members who are similar to the target user from among the members of the form improvement support service based on the information on the target user. A recommendation member determination part 133 determines a recommendation member whose form is improved by the training from among the similar members on the basis of the history of the training for improving the form of the similar members. The content providing unit 134 provides content related to the training performed by the recommended member to the target user.SELECTED DRAWING: Figure 2
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Description

[Technical Field]

[0001] The present invention relates to an information processing device, a content providing method, and a program. [Background technology]

[0002] In sports such as running and golf, it is important for users to master the correct form. For example, a form improvement support method described in Patent Document 1 displays an image of the user on a display unit, superimposing skeletal data of the instructor and the user, and calculates the amount of deviation between the instructor's skeletal data and the student's skeletal data. Then, based on the calculated amount of deviation, advice is generated to encourage the student to improve their form so that their form becomes closer to that of the instructor, and is notified to the user. This allows support for form improvement. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-039120 Summary of the Invention [Problem to be solved by the invention]

[0004] In the form improvement support method described in Patent Document 1, it is not possible to know in advance the gradual effect that will be achieved when training to acquire form according to advice.

[0005] The present invention has been made in view of the above circumstances, and has as its object to provide an information processing device, a content providing method, and a program that allow a user to know in advance the gradual effects of training. [Means for solving the problem]

[0006] In order to achieve the above object, the information processing device according to the present invention comprises: a similar user detection unit that detects a similar user who is similar to the target user based on information about the target user; a recommended user determination unit that determines, from among the similar users, a recommended user who has shown improvement through the training based on the training history of the similar users; a content providing unit that provides content related to the training that the recommended user has performed to the target user; Equipped with. [Effects of the Invention]

[0007] According to the present invention, the content of the determined recommended user is provided to the target user, so that the target user can know in advance the gradual effects of training. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram showing a configuration of a form improvement support system according to an embodiment of the present invention. [Figure 2] 1 is a block diagram of an information processing apparatus according to an embodiment of the present invention; [Figure 3] FIG. 3 is a diagram showing an example of the configuration of member information according to the embodiment of the present invention. [Figure 4] FIG. 3 is a diagram illustrating an example of the configuration of history data according to the embodiment of the present invention. [Figure 5] 10 is a flowchart of a form improvement support process according to an embodiment of the present invention. [Figure 6] FIG. 10 is a diagram showing an example of a report as content according to an embodiment of the present invention. [Figure 7] FIG. 10 is a diagram showing an example of a content request screen according to an embodiment of the present invention. [Figure 8] 10 is a flowchart of a content providing process according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0009] An information processing device 100, a content providing method, and a program according to an embodiment of the present invention will be described in detail below with reference to the drawings. Note that the same or corresponding parts in the drawings are denoted by the same reference numerals.

[0010] FIG. 1 is a diagram showing the configuration of a running form improvement support system 1 equipped with an information processing device 100 according to an embodiment of the present invention. The running form improvement support system 1 is a system that provides a running form improvement support service that supports members in improving their running form. Note that "member" here refers to a user who is able to use the running form improvement support service. The running form improvement support system 1 comprises an information processing device 100 and a member terminal 200. The information processing device 100 and the member terminal 200 are connected to each other so that they can communicate with each other via a network 10 such as the Internet. Note that while FIG. 1 shows only one member terminal 200, in reality the running form improvement support system 1 includes multiple member terminals 200.

[0011] The member terminal 200 is a smartphone carried by a member of the form improvement support service, and is equipped with a touch panel, processor, flash memory, communication device, etc. The member terminal 200 receives content such as reports and advice related to the member's training. The member terminal 200 can also connect to the measurement device 20 wirelessly via Bluetooth (registered trademark) or other means. The measurement device 20 is equipped with various sensors such as a gyro sensor, and is worn by the member during training to measure various values ​​related to the member's form.

[0012] The information processing device 100 is also connected via the network 10 to a user terminal 300 of a user (hereinafter referred to as a target user) who is a non-member of the form improvement support service and who is a target of content provision (described later). The user terminal 300 is a smartphone carried by the target user, and is equipped with a touch panel, a processor, a flash memory, a communication device, etc. Content from recommended members is provided to the user terminal 300 of the target user through a content provision process (described later).

[0013] The information processing device 100 is a computer such as a PC (Personal Computer) or a server for supporting a member in improving his or her running form. As shown in FIG. 2 , the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0014] The communication unit 110 is a router or the like for connecting the information processing device 100 to the network 10. For example, the communication unit 110 receives information about the details of the training that a member has done from the member terminal 200 via the network 10, and transmits content about the training that the member has done to the member terminal 200 of that member, and also transmits content of recommended members to the user terminal 300 of the target user via the network 10.

[0015] The storage unit 120 is a non-volatile storage device such as a hard disk drive or flash memory. The storage unit 120 stores various information required for processing by the information processing device 100. For example, the storage unit 120 stores a member DB 121 and a training history DB 122 as various information.

[0016] Member information of members of the form improvement support service is stored in the member DB 121. As shown in Fig. 3, the member information includes a member ID, name, height, weight, age, sex, and the like.

[0017] The training history DB 122 stores historical data on the running training that each member has done. FIG. 4 shows an example of the historical data. The historical data includes the member's member ID and information such as the date, running time, running distance, form score, and content of each training session that the member has done. The historical data shown in FIG. 4 shows the content of training sessions 1 to 50 performed by the member with member ID "0001."

[0018] The form score included in the history data is a variety of evaluation values ​​used to evaluate the running form performed by the member during training. In this embodiment, the form score is composed of indicators for movement intensity, postural stability, landing stress reduction, and left-right balance. The values ​​of these indicators in the form score are calculated based on values ​​such as hip up-and-down movement, left-and-right movement, forward lean angle, pitch, and stride measured by the measurement device 20 worn by the member during training, as well as the member's height, weight, etc.

[0019] For example, movement intensity is an index calculated comprehensively from the stride-to-height ratio (stride divided by height), the forward lean angle of the hips, etc., and indicates how powerful the member's running form is. In this embodiment, movement intensity is calculated within the range of 1 to 100.

[0020] Posture stability is an index calculated from the up-and-down and left-and-right movements of the hips, and indicates the stability of the posture of the form. In this embodiment, posture stability is calculated in the range of 1 to 100.

[0021] The landing burden reduction degree is an index calculated comprehensively from the measured magnitude of the impact on the body immediately after landing, the acceleration at the time of pushing off, etc. The higher the value, the less strain the member places on the landing form. In this embodiment, the landing burden reduction degree is calculated within the range of 1 to 100.

[0022] The left-right balance degree is a form score calculated from the left-right movement of the hips, etc., and is an index showing the goodness of left-right balance when running. In this embodiment, the left-right balance degree is calculated in the range of 1 to 100.

[0023] The content included in the history data is information to help improve form, such as advice and reports related to that training. Essentially, the content is only provided to members who have completed that training.

[0024] Note that these indices are merely examples, and various indices can be used to make up the form score.

[0025] Returning to FIG. 2 , the control unit 130 includes a CPU (Central Processing Unit), a ROM (Read Only Memory) that stores an operating program for the CPU, a RAM (Random Access Memory) that serves as a work area for the CPU, and the like, and controls the entire information processing device 100. The control unit 130 may also include a processor other than the CPU, such as a GPU (Graphics Processing Unit). The control unit 130 may also include multiple processors. When the CPU executes the operating program, the control unit 130 functions as a form improvement support unit 131, a similar member detection unit 132, a recommended member determination unit 133, and a content provision unit 134.

[0026] The form improvement support unit 131 supports the member in improving their form. Specifically, the form improvement support unit 131 analyzes the details of the training that the member has performed, calculates a form score, generates content such as a report, and transmits it to the member terminal 200 of the member. Details of the processing performed by the form improvement support unit 131 will be described later.

[0027] The similar member detection unit 132 detects similar members who are similar to the target user from among the members based on the target user's height, weight, etc. Details of the processing by the similar member detection unit 132 will be described later. The similar member detection unit 132 is an example of a similar user detection unit of the present invention.

[0028] The recommended member determination unit 133 determines, from among similar members, recommended members who have shown improvement in form equal to or greater than a predetermined standard through continuous training, based on the training history data. Details of the processing by the recommended member determination unit 133 will be described later. The recommended member determination unit 133 is an example of a recommended user determination unit of the present invention.

[0029] The content providing unit 134 provides the content provided to the recommended member to the target user by, for example, granting the target user access rights to the content of the recommended member.

[0030] (Form improvement support processing) Next, a description will be given of the operation of the processing executed by the information processing device 100. First, a description will be given of the form improvement support processing executed by the information processing device 100. The form improvement support processing is processing that supports the improvement of a member's form.

[0031] A member wears a measurement device 20 around their waist while training. The measurement device 20 measures various information such as the member's up-and-down movement of their waist, left-and-right movement, forward lean angle, pitch, stride, etc. while training, and wirelessly transmits the measurement values ​​to the member terminal 200. After finishing training, the member operates their member terminal 200 to launch a form improvement support app, performs predetermined operations on the app screen, and sends a form improvement support request to the information processing device 100 that includes the measurement values ​​received from the measurement device 20, the member ID, etc. Upon receiving the form improvement support request, the form improvement support unit 131 of the information processing device 100 executes the form improvement support process shown in the flowchart of FIG. 5.

[0032] First, the form improvement support unit 131 calculates various form scores (step S101) based on the measured values ​​of the hips included in the form improvement support request, such as up-and-down movement, left-and-right movement, forward lean angle, pitch, stride, etc., and the member's member information, such as height and weight, stored in the member DB 121. Specifically, the form improvement support unit 131 calculates the movement intensity, posture stability, landing strain reduction, and left-right balance as form scores.

[0033] Next, the form improvement support unit 131 generates content related to this training based on the calculated form score, etc. (Step S102) The content here is, for example, advice on form improvement, a report, etc.

[0034] An example of a report generated as content is shown in Figure 6. This report includes a form score chart that charts each form score value for this training session, as well as advice.

[0035] Returning to FIG. 5, the form improvement support unit 131 then adds the form score calculated in step S101, the content generated in step S102, etc. to the history information of this user, and updates the training history DB 122 (step S103).

[0036] The form improvement support unit 131 then transmits the content data generated in step S102 to the member terminal 200 that sent the form improvement support request (step S104). As a result, content related to the training performed by the member is displayed on the member terminal 200, enabling support for the member's form improvement. This completes the form improvement support process.

[0037] (Content provision processing) Next, a content provision process executed by information processing device 100 will be described. The content provision process is a process for providing content related to training by recommended members selected from existing members to a target user who is not a member. It is assumed that the target user has previously known their current form score through a predetermined measurement process.

[0038] The target user operates their user terminal 300 to launch a form improvement support app, performs a predetermined operation on the app screen, and displays the content request screen shown in FIG. 7. The target user then specifies the form score they want to improve from among movement intensity, postural stability, landing stress reduction, and left-right balance (movement intensity is specified in FIG. 7), enters the current value, their height, weight, gender, and other information, and touches "Request Content." In response to this operation, the user terminal 300 sends a content request to the information processing device 100, including the information specified and entered on the content request screen. Upon receiving the content request, the information processing device 100 executes the content provision process shown in FIG. 8. In the following description, the form score specified on the content request screen will also be referred to as the "specified form score." In the example of FIG. 7, movement intensity is the specified form score.

[0039] First, the control unit 130 of the information processing device 100 acquires various pieces of information included in the content request received from the user terminal 300 (step S201). Specifically, the control unit 130 acquires the type and value of the designated form score, the height, weight, sex, etc. of the target user.

[0040] Next, the similar member detection unit 132 of the information processing device 100 refers to the member DB 121 to identify members who have a similar physique to the target user (step S202). For example, the similar member detection unit 132 refers to the member DB 121 to identify members who have the same sex as the target user and whose height and weight are within ±5% of the target user as members with a similar physique.

[0041] Next, similar member detection unit 132 references the history information in training history DB 122 and detects, from among the members identified in step S202, members who had a value equivalent to the designated form score at a predetermined point in the past, that is, when training started (for example, when the number of training sessions was 1 to 3) (members whose difference from the designated form score is within a threshold) as similar members (step S203). Note that here, members who had an equivalent designated form score at any point in the past (for example, one year ago) other than when training started may also be extracted as similar members.

[0042] Next, based on the history information of similar members stored in the training history DB 122, the recommended member determination unit 133 determines, as a recommended member, a similar member whose designated form score has increased by a predetermined standard or more through continuous training since the start of training, from among the similar members (step S204). Various criteria can be considered for determining a recommended member from among the similar members. For example, the recommended member determination unit 133 may determine, as a recommended member, a similar member whose most recent designated form score is the highest. For example, the recommended member determination unit 133 may determine, as a recommended member, a similar member whose average increase in designated form score per training session is the greatest. For example, the recommended member determination unit 133 may determine, as a recommended member, a similar member whose most recent designated form score is equal to or greater than a threshold. In step S204, multiple recommended members may be determined.

[0043] Next, the content providing unit 134 acquires the content of the recommended member from the history information of the recommended member stored in the training history DB 122 (step S205). Then, the content providing unit 134 transmits the acquired content of the recommended member to the user terminal 300 of the target user (step S206). This allows the target user to view the content of the recommended member displayed on the user terminal 300. Note that in step S206, a process may be performed in which the content is not transmitted to the user terminal 300, but access rights to the content of the recommended member are granted to the user terminal 300 of the target user.

[0044] Next, the content providing unit 134 provides a benefit to the recommended member in return for providing the content (step S207). The benefit here is, for example, points or discount coupons that can be used at a specific shopping site. Note that the processing of step S207 does not necessarily have to be performed. This completes the content providing processing.

[0045] In this way, according to this embodiment, recommended members who have improved their form through continuous training are selected from among similar members similar to the target user, and content related to the training that the recommended members have done is provided to the target user. This allows the target user to know in advance the content that is likely to be provided if the target user trains, and it is possible to know in advance the content of support for form improvement, and it is possible to know in advance the gradual effects of training from the provided content.

[0046] (Variation) The above embodiment can be modified and applied in various ways. For example, in the above embodiment, in the content provision process, the content of the recommended member determined by the recommended member determination unit 133 is immediately provided to the target user. However, it is also possible to accept permission or denial from the recommended member to provide content, and provide only the content for which permission has been granted to the target user. In this case, permission or denial may be accepted for all of the recommended member's content at once, or permission or denial may be accepted individually for each piece of content of the recommended member. In this way, only the content permitted by the recommended member is provided to the target user, thereby protecting the privacy of the recommended member.

[0047] For example, a target user who has received content from a recommended member through the content provision process described above may use the content as a reference for daily running training. However, if the form score does not improve by more than the threshold after a certain period of time has passed, the recommended member determination unit 133 may determine a new recommended member that is different from the previously determined recommended member. For example, the recommended member determination unit 133 may determine a similar member with the next highest designated form score after the previously determined recommended member as the new recommended member. The content of the new recommended member determined by the content provision unit 134 may then be provided to the target user. In this way, even if the target user and the recommended member are not compatible with each other, the recommended member will be changed to another recommended member, thereby improving the effectiveness of support for form improvement.

[0048] In the above embodiment, an example of a form improvement support service that supports improvement of running form has been shown, but the form is not limited to running. For example, the present invention can also be applied to a form improvement support service that supports improvement of golf swing form, baseball batting form, etc. Furthermore, the present invention is not limited to form improvement support services, but can also be applied to performance improvement support services that improve performance through studying (training).

[0049] In the above embodiment, the target user is described as a non-member of the form improvement service, but the target user may also be a member of the form improvement service.

[0050] In the above embodiment, the similar member detection unit 132 determined that a member whose physical characteristics, such as height and weight, are similar to those of the target user is a similar member. However, the method of determining a similar member is not limited to this. For example, a member who is close in age to the target user, a member who is from the same place as the target user, or a member who has done similar amounts of training to the target user may be determined as a similar member. For example, a member who has done more than a threshold amount of training may be determined as a similar member.

[0051] In the above embodiment, similar members are determined from among the members of the form improvement support service, and recommended members are determined from among the similar members. However, similar members (similar users) may be determined from among users including non-members, and recommended members (recommended users) may be determined from among the similar members (similar users). In this case, the training history of non-member users must also be stored in the training history DB 122.

[0052] Furthermore, a computer capable of realizing each of the above-described functions may be configured by storing and distributing a program for realizing each of the functions in the control unit 130 of the information processing device 100 on a computer-readable recording medium such as a CD-ROM (Compact Disc Read Only Memory) or a DVD-ROM (Digital Versatile Disc Read Only Memory), and installing the program on the computer. When each function is realized by sharing the work between an OS and an application, or by cooperation between an OS and an application, only the application may be stored on the recording medium.

[0053] Although the preferred embodiments of the present invention have been described above, the present invention is not limited to the specific embodiments, and the present invention includes the inventions described in the claims and their equivalents. The inventions described in the original claims of this application are appended below. [Explanation of symbols]

[0054] 1. Form improvement support system, 10. Network, 20. Measuring device, 100. Information processing device, 110. Communication unit, 120. Memory unit, 121. Member DB, 122. Training history DB, 130. Control unit, 131. Form improvement support unit, 132. Similar member detection unit, 133. Recommended member determination unit, 134. Content provision unit

Claims

1. a similar user detection unit that detects a similar user who is similar to the target user based on information about the target user; a recommended user determination unit that determines, from among the similar users, a recommended user who has shown improvement through the training based on the training history of the similar users; a content providing unit that provides content related to the training that the recommended user has performed to the target user; An information processing device comprising:

2. The similar user detection unit detects, as the similar user, a user whose past evaluation value has a difference from the current evaluation value of the target user within a threshold value. The information processing device according to claim 1 .

3. the similar user detection unit detects a user having a physique similar to that of the target user as the similar user; The information processing device according to claim 1 .

4. the content providing unit receives permission or denial of the provision of the content from the recommended user, and provides the permitted content to the target user. The information processing device according to claim 1 .

5. the content providing unit grants a benefit to the recommended user when providing the content to the target user; The information processing device according to claim 1 .

6. the recommended user determination unit determines a new recommended user from among the similar users when no improvement is observed in the target user after the provision of the content; the content providing unit provides the content of the new recommended user to the target user. The information processing device according to claim 1 .

7. Detecting similar users who are similar to the target user based on information about the target user; determining, from among the similar users, recommended users who have shown improvement through the training based on the training histories of the similar users; providing the target user with content related to the training that the recommended user has performed; How content is provided.

8. Computer, a similar user detection unit that detects a similar user who is similar to the target user based on information about the target user; a recommended user determination unit that determines, from among the similar users, a recommended user who has shown improvement through the training, based on the training history of the similar users; a content providing unit that provides content related to the training that the recommended user has performed to the target user; A program that functions as a

Citation Information

Patent Citations

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