Running ability prediction system, running ability prediction method, and running ability prediction program

Abstract

We provide technology to predict training effectiveness while taking climate differences into account. [Solution] In the running ability prediction system 100, training load information indicating the exercise load during the user 10's training period, including a first period and a second period in which the climate may differ from that of the first period, is acquired, and climate information for the first and second periods is acquired. The prediction processing unit determines the predicted running time when the user 10 runs a second distance in the second period, based on at least the running log, training load information, and climate information. The running ability correction unit 80 corrects the resulting running ability by a correction amount calculated based on the initial running ability and climate information.

Claims

1. A time acquisition unit acquires a driving log, which is a record of the driving time when the user drives a first distance during the first period. A load information acquisition unit that acquires training load information indicating the exercise load during the user's training period, including the first period and a second period in which the climate may differ from the first period; A climate information acquisition unit that acquires climate information for the first period and the second period, A prediction processing unit that determines the predicted running time when the user runs a second distance during the second period based on at least the running log, the training load information, and the climate information, An output unit that outputs the determined predicted travel time, A running ability prediction system equipped with the following features.

2. The system further includes an initial running ability setting unit that sets the initial running ability before the training period based on the user's input value. The prediction processing unit, A unit for estimating the resulting running ability after the training period, A running force correction unit that corrects the resulting running force by a correction amount calculated based on the initial running force and the climate information, The running ability prediction system according to claim 1, characterized by having the following features.

3. The running force prediction system according to claim 2, characterized in that the running force correction unit corrects the temperature indicated by the climate information in such a way that the correction amount increases as the temperature is higher within a predetermined temperature range, and the correction amount becomes nonlinear, saturating above a predetermined upper temperature limit and below a predetermined lower temperature limit.

4. The running speed correction unit corrects the running speed in such a way that the correction amount increases upward as the initial running speed increases, and the upward correction amount saturates above a predetermined upper limit, resulting in a nonlinear change. This is the running speed prediction system according to claim 2.

5. The running force prediction system according to claim 2, characterized in that the running force correction unit corrects the running force in such a nonlinear manner that the correction amount increases downward when the initial running force is below a predetermined low level, and the downward correction amount saturates when it is below a predetermined lower limit.

6. The training load information includes information indicating at least one of training intensity and training volume, as information indicating the exercise load of the user during the training period. The running ability prediction system according to claim 2, characterized in that the resulting running ability estimation unit determines the increment of running ability relative to the initial running ability based on at least one of a coefficient corresponding to the training intensity and a coefficient corresponding to the training amount, and estimates the resulting running ability.

7. The running speed prediction system according to claim 2, characterized in that the result running speed estimation unit determines the increment such that the higher the initial running speed, the smaller the increment of running speed relative to the initial running speed, and estimates the result running speed.

8. The unit further includes an age information acquisition unit that acquires the user's age information, The running ability prediction system according to claim 6 or 7, further characterized in that the resulting running ability estimation unit determines the increment of running ability relative to the initial running ability based on a coefficient corresponding to the age information and estimates the resulting running ability.

9. A running ability prediction method for a running ability prediction system, The processor of the aforementioned running speed prediction system The process of obtaining a driving log, which is a record of the driving time when the user drives a certain distance in the first period, A process for obtaining training load information indicating the exercise load during the user's training period, including the first period and a second period in which the climate may differ from that of the first period; The process of obtaining climate information during the first and second periods, A process for determining the predicted running time when the user runs a second distance during the second period, based at least on the running log, the training load information, and the climate information, The process of outputting the predicted travel time determined above, A method for predicting running ability, characterized by comprising the following features.

10. The system includes a function to acquire a driving log, which is a record of the driving time when the user travels a certain distance during the first period, and A function to acquire training load information indicating the exercise load during the user's training period, including the first period and a second period in which the climate may differ from that of the first period, A function for acquiring climate information during the first and second periods, A function to determine the predicted running time when the user runs a second distance during the second period, based at least on the running log, the training load information, and the weather information, The function outputs the predicted travel time determined above, A running ability prediction program characterized by enabling a computer to perform the following.

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