Evaluation information provision system and evaluation information provision method

US2017372482A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017372482-A1
Application numberUS-201615542382-A
CountryUS
Kind codeA1
Filing dateOct 18, 2016
Priority dateOct 21, 2015
Publication dateDec 28, 2017
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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In an evaluation information provision system, subject's motion data is stored in association with attributes. When an attribute is assigned, the evaluation information provision system selects feature data from a plurality of the subject's motion data associated with the assigned attribute. The evaluation information provision system calculates a score for the assigned attribute, for the user's motion, using a statistical distance between the selected feature data and the user's motion data. The calculated score is displayed, for example, as a screen.

First claim

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1 . An evaluation information provision system for outputting information evaluating a motion of a user, using two or more sets of motion data of a subject stored in association with an attribute and motion data of the user, comprising: a processor configured to calculate a statistical distance between two or more sets of motion data and the motion data of the user; and an interface configured to acquire assignment of an attribute, wherein; the processor is configured to calculate a score of the user for the attribute acquired by the interface, the interface is configured to output the score of the user calculated by the processor, and the processor is configured to select feature data representing a feature of the attribute acquired by the interface, based on the statistical distance calculated by the processor for motion data associated with the attribute acquired by the acquisition unit among the two or more sets of motion data, and to calculate the score of the user for the attribute acquired by the interface, using a statistical distance between the motion data associated with the attribute acquired by the interface and the feature data, and a statistical distance between the motion data of the user and the feature data. 2 . The evaluation information provision system according to claim 1 , wherein motion data represents each of motions of one or more parts of a subject or a user. 3 . The evaluation information provision system according to claim 1 , wherein motion data represents each of motions of one or more parts in a tool operated by a subject or a user. 4 . The evaluation information provision system according to claim 1 , wherein the interface is configured to accept input of assignment of an attribute. 5 . The evaluation information provision system according to claim 1 , wherein the attribute includes a classification for superiority/inferiority of a motion. 6 . The evaluation information provision system according to claim 5 , wherein the classification is a diversity of marathon running times. 7 . The evaluation information provision system according to claim 1 , wherein the attribute includes a classification for a property other than superiority/inferiority of a motion. 8 . The evaluation information provision system according to claim 7 , wherein the classification distinguishes a person who makes a motion or a tool used in a motion. 9 . The evaluation information provision system according to claim 1 , wherein the processor is configured to select motion data having a smallest mean value of statistical distances from other motion data, as the feature data, from a plurality of motion data associated with the attribute acquired by the interface. 10 . The evaluation information provision system according to claim 1 , wherein the processor is configured to set an order for the statistical distance from the feature data, in the motion data of the user and the motion data associated with the attribute acquired by the interface, and to calculate the score of the user based on the order in the user's motion data. 11 . The evaluation information provision system according to claim 1 , wherein the processor is configured to calculate the score of the user for each of the motion data of the user at a plurality of timings, and the interface is configured to output the score of the user for each of the plurality of timings. 12 . The evaluation information provision system according to claim 11 , wherein the interface is configured to further output information evaluating whether a change of scores at the plurality of timings rises or falls over time. 13 . The evaluation information provision system according to claim 1 , wherein the interface is configured to acquire assignment of different kinds of attributes. 14 . The evaluation information provision system according to claim 13 , wherein the interface is configured to acquire assignment of an attribute of a first kind and an attribute of a second kind, the attribute of the second kind includes two or more kinds of attributes, the processor is configured to acquire feature data that is motion data representing a feature of the attribute of the first kind, for each kind of the attributes of the second kind, and to calculate the score of the user for the attribute of the first kind, for each kind of the attributes of the second kind, and the interface is configured to output the score of the user for the attribute of the first kind, for each kind of the attributes of the second kind. 15 . The evaluation information provision system according to claim 14 , wherein the interface is configured to compare the scores for different kinds of the attributes of the second kind to output information evaluating the degree of relevancy to the attribute of the first kind in two or more kinds of attributes of the second kind. 16 . The evaluation information provision system according to claim 14 , wherein the interface is further configured to output a statistical distance calculated by the processor for motion data associated with an attribute to be compared with the attribute of the first kind, in a manner that identifies each of the attribute of the first kind and the attribute to be compared. 17 . An evaluation information provision method executed by a processor to output information evaluating a motion of a user, using two or more sets of motion data of a subject stored in association with an attribute and motion data of the user, comprising: calculating a statistical distance between each of the two or more sets of motion data and the motion data of the user; acquiring assignment of an attribute; selecting feature data representing a feature of the acquired attribute from a plurality of motion data of the acquired attribute, based on a statistical distance calculated for motion data associated with the acquired attribute among the two or more sets of motion data, and calculating a score of the user for the acquired attribute, using a statistical distance between motion data associated with the acquired attribute and the feature data and a statistical distance between the motion data of the user and the feature data; and outputting the calculated score of the user.

Assignees

Inventors

Classifications

  • Aspects of pattern recognition specially adapted for signal processing · CPC title

  • Visualisation of specific exercise parameters · CPC title

  • G06T7/20Primary

    Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title

  • Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills · CPC title

  • G06V40/25Primary

    Recognition of walking or running movements, e.g. gait recognition · CPC title

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What does patent US2017372482A1 cover?
In an evaluation information provision system, subject's motion data is stored in association with attributes. When an attribute is assigned, the evaluation information provision system selects feature data from a plurality of the subject's motion data associated with the assigned attribute. The evaluation information provision system calculates a score for the assigned attribute, for the user'…
Who is the assignee on this patent?
Univ Tsukuba, Univ Osaka, Mizuno Kk
What technology area does this patent fall under?
Primary CPC classification G06T7/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 28 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).