Trajectory Prediction for Player Performance Assessment
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Solution Overview
Problem
In sports, it is challenging to quantify and distinguish between player performances, particularly in determining why one player is good while another is average, and to assess performance variations over time, as existing methods lack a systematic way to analyze and compare body motions and equipment orientations that affect trajectory outcomes.
Innovation Solution
The development of methods and apparatus that capture and analyze video frames of sports performances to predict trajectory outcomes by relating body motions, equipment motions, and orientations, allowing for the prediction of desired trajectory outcomes and assessment of performance improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional results-based performance assessment is used, then evaluation is simple and quick, but it cannot quantify and distinguish the reasons for performance differences between players
Solution Approach 1:
The system segments performance analysis into multiple independent components: body motion parameters (joint angles, limb velocities), equipment parameters (release angle, force vectors), and trajectory parameters (ball path, spin rate). This segmentation allows comprehensive performance differentiation while maintaining manageable system complexity through modular analysis of each parameter category.
Solution Approach 2:
The patent transitions from traditional one-dimensional results-based assessment (made/missed shots) to multi-dimensional analysis by incorporating spatial coordinates, temporal sequences, and multiple parameter categories. This dimensional expansion enables precise quantification of performance differences through comprehensive tracking of body motions, equipment orientations, and trajectory characteristics across multiple axes simultaneously.
2Measurement precision
If comprehensive video analysis of body motions and equipment orientations is implemented, then performance can be precisely quantified, but processing time and computational resources increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining parameter extraction algorithms, trajectory prediction models, and performance evaluation criteria before actual game footage analysis. This preparation enables rapid processing of video data during execution, as the computational framework is already established and optimized for the specific parameters being measured, reducing real-time analysis time while maintaining high precision.
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated computational systems that use algorithms to extract and process video data. This substitution of mechanical human analysis with electronic computational processing dramatically reduces analysis time while improving measurement precision through consistent, error-free data extraction and trajectory prediction.
3Loss of information
If trajectory prediction models are used to assess player performance, then objective quantification is achieved, but the system complexity and data processing requirements increase
Solution Approach 1:
The trajectory prediction model serves multiple functions simultaneously: it predicts ball trajectories, evaluates player performance, identifies improvement areas, and provides training feedback. This multi-functionality reduces the need for separate specialized systems for each task, thereby managing overall system complexity while achieving comprehensive performance information capture and analysis.
Data Source
AI summary
Methods and apparatus relating to predicting outcome in a sporting environment are described. The methods and apparatus are used to relate trajectory performance of an object to body motions and body orientation associated with a generating the trajectory of the object. When equipment is utilized to generate the trajectory of an object, than the effects of equipment motions and equipment orientation can be also related to trajectory performance. The method and apparatus can be used to predict body motions and body orientations that increase the likelihood of achieving a desired outcome including specifying optimum motions and orientations for a particular individual. The method and apparatus may be used in training, coaching and broadcasting environments.