Running style analysis system and running style analysis method

Abstract

This technology provides a method for estimating the likelihood of achieving a goal based on running form. [Solution] In the running style analysis system 100, the type determination unit 82 determines which of the multiple running style types, which are pre-classified according to feature quantities corresponding to multiple types of motion analysis indicators, the acquired motion data belongs to. The data storage unit 66 stores precedent data including the type determination results and motion data from the type determination unit 82 for motion data acquired from multiple measurement subjects. The data extraction unit 84 extracts precedent data of measurement subjects who have the same goal as user 10 from the data storage unit based on the degree of similarity of running style types. The output unit 99 outputs the comparison result between the extracted precedent data and user 10's motion data.

Claims

1. A goal acquisition unit that acquires the user's goal regarding the time it will take to complete a race, A measurement value acquisition unit that acquires motion data which is measured values ​​of feature quantities corresponding to multiple types of motion analysis indicators related to the user's running form and other motion states, A type determination unit determines which of a plurality of running style types, which have been pre-classified according to the feature quantities corresponding to the plurality of types of motion analysis indicators, the acquired motion data belongs to. A data storage unit that holds type determination results from the type determination unit for motion data acquired from multiple subjects, precedent data including the motion data, and the targets of the multiple subjects, A data extraction unit extracts from the data storage unit, based on the degree of similarity of the running style type, the data of the measurement subject that has the same target as the user among the precedent data of the multiple measurement subjects. An output unit that outputs the comparison result between the extracted precedent data and the user's operation data, A running style analysis system characterized by having the following features.

2. Each of the aforementioned multiple types of motion analysis indicators is associated with at least one of the multiple types of running style analysis indicators used to determine the running style type. The running style analysis system further comprises an evaluation calculation unit that calculates evaluation values ​​corresponding to the multiple types of running style analysis indicators from feature quantities corresponding to the multiple types of motion analysis indicators, The type determination unit determines which of the multiple running style types it belongs to based on the combination of evaluation values ​​corresponding to the multiple types of running style analysis indicators, and also determines which of the multiple levels it belongs to based on the total value of the evaluation values ​​corresponding to the multiple types of running style analysis indicators. The data storage unit further retains the determined level, The running method analysis system according to claim 1, characterized in that the data extraction unit extracts type determination results from the data storage unit for which the level is common with the user when extracting the type determination results.

3. The system further includes an attribute acquisition unit that acquires the attribute information of the aforementioned user, The data storage unit further stores attribute information of the multiple measurement subjects, The running method analysis system according to claim 1 or 2, characterized in that the data extraction unit extracts from the data storage unit type determination results in which at least a portion of the attribute information is common with the user when extracting the type determination results.

4. The running method analysis system according to claim 1 or 2, characterized in that the data extraction unit extracts from the data storage unit type determination results in which the range of running pace is common with the user's operation data when extracting the type determination results.

5. The data storage unit stores the type determination results for each of the multiple time periods for each of the subjects being measured. The driving method analysis system according to claim 1 or 2, characterized in that the data extraction unit extracts type determination results from the data storage unit that have a common driving timing with the user's operation data when extracting type determination results.

6. The data extraction unit further extracts type determination results corresponding to other driving times for the same subject as the type determination result, along with type determination results for the driving time that are common. The driving method analysis system according to claim 5, characterized in that the output unit further outputs a comparison result with the type determination result corresponding to the other driving period, in response to an instruction received from the user.

7. The data storage unit further stores information indicating whether the target of the type determination result has been achieved. The running style analysis system according to claim 1 or 2, characterized in that the data extraction unit extracts the type determination results of measurement subjects whose goals are the same as the user's and whose goals have already been achieved.

8. The running style analysis system according to claim 1 or 2, characterized in that the output unit further outputs information on the training content of the person being measured for the extracted type determination result.

9. A goal acquisition unit that acquires the user's goal regarding the time it will take to complete a race, An attribute acquisition unit that acquires the attribute information of the aforementioned user, A measurement value acquisition unit that acquires motion data which is measured values ​​of feature quantities corresponding to multiple types of motion analysis indicators related to the user's running form and other motion states, An evaluation calculation unit that calculates evaluation values ​​corresponding to multiple types of running style analysis indicators from feature quantities corresponding to multiple types of running style analysis indicators included in the acquired motion data, A type determination unit determines which of a plurality of running style types, which are pre-classified according to the combination of evaluation values ​​corresponding to the plurality of running style analysis indicators, the acquired motion data belongs to, and also determines which of a plurality of levels in the determined running style type it belongs to based on the total value of the evaluation values ​​corresponding to the plurality of running style analysis indicators, A data storage unit stores the type determination results obtained by the type determination unit for motion data acquired from multiple subjects, along with the subject's goal, whether or not that goal was achieved, attribute information, and information indicating when the motion data was acquired. A data extraction unit extracts the type determination result from the data storage unit for measurement subjects who share the same target, attribute information, driving period, and driving style type as the aforementioned user, and whose target has already been achieved. An output unit that outputs the result of comparing the extracted type determination result with the user's operation data, A running style analysis system characterized by having the following features.

10. The process of obtaining the user's target race completion time via the network, The process of acquiring motion data via a network, which is a measurement of feature quantities corresponding to multiple types of motion analysis indicators related to the user's motion state, including their running form, The process involves a computer determining which of several running style types, which have been pre-classified according to the feature quantities corresponding to the multiple types of motion analysis indicators, the acquired motion data belongs to. A process in which a computer extracts precedent data common to the user and the target from the type determination results for motion data obtained from multiple measurement subjects and precedent data including said motion data, based on the degree of similarity of running style type, The process involves outputting the comparison results between the extracted precedent data and the user's operation data via the network, A running style analysis method characterized by comprising the following features.

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