Information processing device, information processing method, and program

Abstract

To provide an information processing device capable of accurately outputting target person information indicating an appropriate target person as a user's target.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 each of 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 target person information indicating an appropriate target person as a target of the first person of the plurality of target persons, and outputs output information including the target person information output from the machine learning model.SELECTED DRAWING: Figure 1

Claims

1. A control unit inputs information that includes an evaluation of a first movement as evaluation information, and input information that includes the evaluation information for the first person and the evaluation information for each of several target people as input information, and outputs the input information to a trained machine learning model that outputs the evaluation information for each of the several target people that is estimated to be the closest to the evaluation information for the first person as similar evaluation information, and outputs output information that includes target person information that indicates the target person corresponding to the similar evaluation information output from the machine learning model among the several target people. Equipped with, The machine learning model has been trained to identify, when input information is received, the evaluation information that is most likely to be the closest to the evaluation information for the first 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 for the first exercise, and to identify the similar evaluation information from among the evaluation information for each of the multiple target people included in the input information. Information processing device.

2. 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 the waveform data from among the waveform data for each of the multiple target individuals that is most likely to closely resemble the waveform data for the first person included in the input information, and identifies the evaluation information including the identified waveform data as the similar evaluation information. The information processing apparatus according to claim 1.

3. 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 2.

4. 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 2.

5. A control unit that, when input information is input which includes evaluation information for a first movement, the evaluation information for a first person and the evaluation information for each of a plurality of target people, inputs the input information to a trained machine learning model which outputs the evaluation information for each of the plurality of target people which is estimated to be the closest to the evaluation information for the first person, and outputs output information which includes target person information which indicates the target person corresponding to the similar evaluation information output from the machine learning model among the plurality of target people, Equipped with, When the machine learning model receives the input information, if the input information includes evaluation information for a second person different from the first person, it outputs similar evaluation information that shows an evaluation different from the similar evaluation information that is output when the input information includes evaluation information for the first person. Information processing device.

6. When the aforementioned machine learning model receives the input information, it will, along with the target person information, The system outputs practice menu information indicating a practice menu suitable for the first person from among multiple practice menus for the first exercise. The information processing apparatus according to claim 1.

7. 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 the stage before inputting the input information to the machine learning model, identifies one or more target persons from among the plurality of target persons in response to the received operation, associates the attribute information with the attribute information of the first person, generates input information including the evaluation information for each of the identified one or more target persons and the evaluation information for the first person, and inputs the generated input information to the machine learning model. The information processing apparatus according to claim 1.

8. 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 7.

9. The input information, which includes the evaluation information for the first person and the evaluation information for each of several target people, is input to a trained machine learning model that outputs the evaluation information for each of the several target people that is estimated to be the closest match to the evaluation information for the first person, as similar evaluation information. The output information includes target person information that indicates the target person corresponding to the similar evaluation information output from the machine learning model among the several target people. It has, The machine learning model has been trained to identify, when input information is received, the evaluation information that is most likely to be the closest to the evaluation information for the first 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 for the first exercise, and to identify the similar evaluation information from among the evaluation information for each of the multiple target people included in the input information. Information processing methods.

10. When input information is input that includes evaluation information for a first movement, the evaluation information for a first person and the evaluation information for each of a plurality of target people, the input information is input to a trained machine learning model that outputs the evaluation information for each of the plurality of target people that is estimated to be the closest to the evaluation information for the first person as similar evaluation information, and the output information includes target person information that indicates the target person corresponding to the similar evaluation information output from the machine learning model among the plurality of target people, It has, When the machine learning model receives the input information, if the input information includes evaluation information for a second person different from the first person, it outputs similar evaluation information that shows an evaluation different from the similar evaluation information that is output when the input information includes evaluation information for the first person. Information processing methods.

11. On the computer, The input information, which includes the evaluation information for the first person and the evaluation information for each of several target people, is input to a trained machine learning model that outputs the evaluation information for each of the several target people that is estimated to be the closest match to the evaluation information for the first person, as similar evaluation information. The output information includes target person information that indicates the target person corresponding to the similar evaluation information output from the machine learning model among the several target people. A program to execute, The machine learning model has been trained to identify, when input information is received, the evaluation information that is most likely to be the closest to the evaluation information for the first 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 for the first exercise, and to identify the similar evaluation information from among the evaluation information for each of the multiple target people included in the input information. program.

12. A computer, The input information, which includes the evaluation information for the first person and the evaluation information for each of several target people, is input to a trained machine learning model that outputs the evaluation information for each of the several target people that is estimated to be the closest match to the evaluation information for the first person, as similar evaluation information. The output information includes target person information that indicates the target person corresponding to the similar evaluation information output from the machine learning model among the several target people. A program to execute, When the machine learning model receives the input information, if the input information includes evaluation information for a second person different from the first person, it outputs similar evaluation information that shows an evaluation different from the similar evaluation information that is output when the input information includes evaluation information for the first person. program.

Images