Information processing device, information processing method, and program

Abstract

To provide an information processing device capable of accurately outputting training menu information indicating a training menu for a user to get close to a target person desired by the user.SOLUTION: An information processing device includes a control unit that, when input information is input including evaluation information on a first person and evaluation information on a first target person selected from a plurality of target persons with information indicating evaluation on a first exercise as the evaluation information, inputs the input information to a learned machine learning model that outputs training menu information indicating a training menu appropriate for the first person of a plurality of training menus on the first exercise, and outputs output information including the training menu information output from the machine learning model.SELECTED DRAWING: Figure 1

Claims

1. The control unit, when input information is received that includes evaluation information for a first exercise, and evaluation information for a first target person selected from among multiple target people, inputs the input information to a trained machine learning model that outputs practice menu information indicating a practice menu suitable for the first person from among multiple practice menus for the first exercise, and outputs output information including the practice menu information output from the machine learning model, Equipped with, The machine learning model has been trained to identify the most likely practice menu from among the multiple practice menus that will bring the evaluation information for the first target person closer to the evaluation information for the first target person included in the input information, based on evaluation change information that shows the changes in the evaluation information that occur in the evaluation information as a result of practicing each of the multiple practice menus, when the input information is input. Information processing device.

2. A control unit that, when input information is input which includes evaluation information for a first exercise and evaluation information for a first target person selected from among multiple target people, inputs the input information to a trained machine learning model which outputs practice menu information which indicates a practice menu suitable for the first person from among multiple practice menus for the first exercise, and outputs output information which includes the practice menu information output from the machine learning model. Equipped with, The control unit, When outputting the aforementioned output information, one of a plurality of output formats is randomly selected as the first output format, and the output information including the practice menu information of the selected first output format is output. When the system receives evaluation information for the first person after the first person has performed the practice menu indicated by the output practice menu information, based on the received post-practice evaluation information, it calculates a value indicating the degree to which the evaluation information for the first person has approached the evaluation information for the first target person selected from among the multiple target people. If the value is less than a predetermined threshold, the system performs a process corresponding to the value by outputting the output information, which includes the practice menu information in a second output format different from the first output format among the multiple output formats. Information processing device.

3. A control unit that, when input information is input which includes evaluation information for a first exercise and evaluation information for a first target person selected from among multiple target people, inputs the input information to a trained machine learning model which outputs practice menu information which indicates a practice menu suitable for the first person from among multiple practice menus for the first exercise, and outputs output information which includes the practice menu information output from the machine learning model, Equipped with, The control unit, When outputting the aforementioned output information, one of the multiple output formats is randomly selected as the first output format, and the output information including the practice menu information of the selected first output format is output. When the system receives evaluation information for the first person after the first person has performed the practice menu indicated by the output practice menu information, based on the received post-practice evaluation information, it calculates a value indicating the degree to which the evaluation information for the first person has approached the evaluation information for the first target person selected from among the multiple target people. If the value is equal to or greater than a predetermined threshold, the system performs a process corresponding to the value by outputting the output information, which includes practice menu information indicating a practice menu different from the practice menu indicated by the output practice menu information. Information processing device.

4. The control unit selects the first target person from among the plurality of target people in response to the received operation. The information processing apparatus according to claim 1.

5. Information indicating attributes is defined as attribute information, and each of the multiple target individuals is associated with the attribute information of that target individual. The control unit, in response to the received operation, identifies one or more target persons from among the plurality of target persons that are associated with attribute information that matches the attribute information of the first person, and selects the first target person from among the one or more identified target persons. The information processing apparatus according to claim 1.

6. The attribute information includes at least one of age group information indicating an age group and body size information indicating a body size. The information processing apparatus according to claim 5.

7. Each of the aforementioned multiple target individuals is associated with physical type information that indicates the physical type representing how the body is used in the first exercise. The control unit receives physical type information indicating the physical type desired by the first person from among a plurality of mutually different physical types, and selects the target person associated with the received physical type information from among the plurality of target people as the first target person. The information processing apparatus according to claim 1.

8. The evaluation information includes waveform data showing how a person uses their body for the movement to be analyzed in the first movement, The aforementioned evaluation change information indicates the changes occurring in the waveform data. When the input information is received, the machine learning model identifies from among the multiple practice menus the most likely practice menu to bring the waveform data for the first target person, which is included in the input information, closer to the waveform data for the first person. The information processing apparatus according to claim 1.

9. The waveform data is based on first information relating to the movement of an object in the said action and second information relating to the use of a first part of the human body in the said action. The object is a human body or a tool used in the first movement. The information processing apparatus according to claim 8.

10. The waveform data includes first waveform data based on first information relating to the movement of an object in the action and second information relating to the use of a first part of the human body in the action, and second waveform data based on the first information and third information relating to the use of a second part of the human body in the action. The object is a human body or a tool used in the first movement. The information processing apparatus according to claim 8.

11. When the machine learning model receives the input information, if the input information includes evaluation information for a second target person who is different from the first target person among the multiple target people, it outputs practice menu information that indicates a practice menu different from the practice menu information that is output when the input information includes evaluation information for the first target person. The information processing apparatus according to claim 1.

12. The input information includes, as evaluation information, information indicating an evaluation of the first exercise, and includes the evaluation information for the first person and the evaluation information for the first target person selected from among multiple target people. The input information is then input to a trained machine learning model that outputs practice menu information indicating a practice menu suitable for the first person from among multiple practice menus for the first exercise, and the machine learning model outputs output information including the practice menu information. It has, The machine learning model has been trained to identify the most likely practice menu from among the multiple practice menus that will bring the evaluation information for the first target person closer to the evaluation information for the first target person included in the input information, based on evaluation change information that shows the changes in the evaluation information that occur in the evaluation information as a result of practicing each of the multiple practice menus, when the input information is input. Information processing methods.

13. On the computer, The input information includes, as evaluation information, information indicating an evaluation of the first exercise, and includes the evaluation information for the first person and the evaluation information for the first target person selected from among multiple target people. The input information is then input to a trained machine learning model that outputs practice menu information indicating a practice menu suitable for the first person from among multiple practice menus for the first exercise, and the machine learning model outputs output information including the practice menu information. A program to execute, The machine learning model has been trained to identify the most likely practice menu from among the multiple practice menus that will bring the evaluation information for the first target person closer to the evaluation information for the first target person included in the input information, based on evaluation change information that shows the changes in the evaluation information that occur in the evaluation information as a result of practicing each of the multiple practice menus, when the input information is input. program.

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