AI Motion Tendency Analysis for Pitching Outcome Prediction
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Solution Overview
Problem
Existing methods struggle to accurately analyze and predict the relationship between a sports player's motion and its outcome, particularly in pitching motions, making it difficult to understand the impact of form on the result.
Innovation Solution
An information processing device that generates motion tendency information using AI models to analyze and predict specific sports motions, such as pitching, by learning from captured data and score data to provide insights into motion habits and important movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video recording and repeated viewing is used to analyze sports motions, then motion data can be collected, but it becomes difficult to recognize motions of various parts of the body and understand relationships between form and results
Solution Approach 1:
The patent replaces manual video observation and analysis with an AI-based automated analysis system. The calculation unit processes captured motion data to generate tendency information, substituting human visual inspection with computational algorithms that can accurately detect and measure complex body part motions and their relationships with sports results.
Solution Approach 2:
The patent introduces an intermediary AI system between the captured motion data and the analysis result. This intermediary calculation unit processes raw motion data through learned models to produce meaningful tendency information, bridging the gap between raw video data and actionable insights about body part motions and their impact on sports outcomes.
2Measurement precision
If AI models are used to generate motion tendency information, then prediction accuracy improves, but device complexity increases
Solution Approach 1:
The patent uses captured real motion data to create learned models that replicate the relationship between body part motions and sports results. Instead of requiring complex physical measurement systems, the system creates virtual copies or representations of motion patterns through AI learning, achieving high prediction accuracy through data-driven models rather than hardware complexity.
Data Source
AI summary
An information processing device includes a calculation unit that performs processing of generating motion tendency information indicating a motion tendency with respect to a specific motion that is a human action.