Auxiliary judgment system utilizing angle big data matching

Abstract

The invention relates to an auxiliary judgment system using angle big data matching, and the system comprises a database application node which is used for storing each degree of completion of each angle corresponding to the set number of jumping turns of each athlete through a database; the angle identification component is used for calculating the surrounding angle of each single-point curve and removing the maximum value and the minimum value of each surrounding angle corresponding to each received single-point curve to obtain a plurality of residual angle values; and the action recognition part is used for analyzing the residual angle value with the highest occurrence frequency in the plurality of residual angle values as an effective angle value, and judging the completion degree of the set jump turns of the current athlete in the skating competition based on the effective angle value. According to the invention, the database can be adopted to store the corresponding relationship between the angle and the completion degree, and the pixel point-level single-point curve probability is introduced to help a referee provide an electronic auxiliary judgment mechanism for the completion degree of the skiing cycle number of a skate, so that the probability of misjudgment of the referee is reduced.

Description

technical field [0001] The invention relates to the field of database application, in particular to an auxiliary judgment system using angle big data matching. Background technique [0002] The database management system is the core part of the database system. It mainly completes the operation and management functions of the database, and realizes the creation of database objects, the query, addition, modification and deletion of data stored in the database, and the user management and authority management of the database. Its security is directly related to the security of the entire database system. At present, when executing the score judgment of athletes in skating competitions, in addition to the athletes' skating posture and movement coherence, which can affect the final score, the athletes' jumping cycles and actual completion are the more critical factors that affect the score. However, the referee At present, only manual judgment can be made based on the naked eye...

AI Technical Summary

Problems solved by technology

At present, when judging the scores of athletes in skating competitions, in addition to the athletes' skating posture and movement coherence, which can affect the final judgment scores, the number of jumping cycles and the actual completion of the athletes are more critical factors that affect the scores. However, referees At present, it is only possible to judge manually based on the naked eye, and it is impossible to effectively distinguish the subtle differences in the degree of completion. As a result, when scoring athletes with almost the same level, it is easy to affect the final judgment.

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