Standing long jump evaluation system and method based on visual motion capture

The standing long jump evaluation system, which dynamically adjusts the tolerance range and conducts multi-dimensional data analysis, solves the problem of inaccurate evaluation caused by camera angles and environmental factors, and achieves high-precision evaluation and personalized feedback in irregular environments.

CN120808432AInactive Publication Date: 2025-10-17深圳立为信息科技有限公司
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Patent Information

Application Number
CN202510877423.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-27
Publication Date
2025-10-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional standing long jump evaluation method based on visual motion capture is affected by camera angle changes and environmental factors, resulting in inaccurate motion trajectory capture and lack of flexibility. It is unable to make intelligent adjustments based on individual differences of different athletes or real-time environmental conditions, affecting the accuracy of the evaluation results.

Method used

Through the standing long jump evaluation system based on visual motion capture, a dynamic adjustment algorithm is used to adjust the tolerance range. Combined with multi-dimensional data analysis and intelligent correction algorithm, the analysis parameters are optimized in real time, abnormal trajectories are identified and corrected, and it adapts to different camera angles and environmental factors.

Benefits of technology

It significantly reduces errors caused by environmental factors, ensures that the motion trajectory accurately reflects the athlete's real movements, improves evaluation accuracy and robustness, and provides personalized real-time feedback and technical improvement suggestions.

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Abstract

The invention discloses a standing long jump evaluation system and method based on visual motion capture, and relates to the technical field of multi-point coordinate data evaluation.Multi-point coordinate data of an athlete is captured through the evaluation system, the position of the athlete in the air is recognized, the tolerance range is adjusted according to a dynamic adjustment algorithm, and the track of the athlete is analyzed through multi-dimensional data; according to multipoint coordinate data and historical data of the athlete, an intelligent correction algorithm is used for predicting and correcting an abnormal track, and according to a current track analysis result, a tolerance range after dynamic adjustment and an air position of the athlete, subsequent analysis parameters are adjusted in real time and then evaluation is carried out. The system can intelligently optimize the analysis process according to different camera shooting angles, athlete postures and environmental factors, errors caused by the environmental factors can be remarkably reduced through flexible adjustment of the tolerance range under irregular environmental conditions, it is ensured that the captured motion trails accurately reflect real actions of athletes, and therefore the evaluation precision is improved.
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