Golf Shot Tracking With Mishit Filtering for Swing Optimization
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Solution Overview
Problem
Existing systems struggle to efficiently analyze and improve athletic performance in sports, particularly golf, due to the complexity of interplay between biomechanical and equipment factors, making it difficult for human coaches to determine optimal adjustments and quantify potential gains.
Innovation Solution
A system comprising sensors and a computing arrangement that tracks swing and trajectory data, identifies well-struck shots, and determines optimal performance parameters, using machine learning to recommend adjustments for improved athletic performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a system uses multiple sensors to track swing and trajectory data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (optical sensors, radar, accelerometers, gyroscopes) into an integrated tracking system that collectively measures swing and trajectory data. This merging approach achieves high measurement precision through data fusion while managing device complexity through unified system architecture and centralized processing.
2Productivity
If the system analyzes complex interplay between multiple biomechanical and equipment factors, then productivity in performance improvement is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex manual analysis by coaches with an automated computing arrangement that uses machine learning algorithms and data processing to analyze the interplay between biomechanical parameters and equipment factors. This substitution of mechanical/human analysis with computational systems enables comprehensive multi-factor analysis while managing complexity through algorithmic processing.
Solution Approach 2:
The system performs self-analysis by automatically processing swing and trajectory data to generate performance insights and recommendations without requiring external expert intervention. The computing arrangement independently identifies patterns, evaluates parameter interactions, and generates improvement strategies, enabling athletes to receive personalized feedback autonomously.
3Loss of information
If the system processes data from all shots including mishits, then measurement completeness is improved, but loss of time in data processing increases
Solution Approach 1:
The system extracts and separates mishit data from well-hit shot data, processing them through different analytical pathways. By identifying and extracting mishits based on specific criteria (such as abnormal trajectory patterns or sensor data anomalies), the system maintains data completeness for comprehensive analysis while optimizing processing time by applying appropriate analysis methods to different data subsets.
Data Source
AI summary
A system for determining potential changes in trajectories of golf shots includes a sensor array sensing swing data relating to a golfer's swing and trajectory data relating to the trajectories of each of a plurality of shots hit by the golfer and a computing arrangement including a data repository and a processor configured to: store in the data repository the swing data and the trajectory data; identify shots hit by the golfer that represent mishits; and determine output data based on the swing data and the trajectory data for all of the shots hit by the golfer that are not identified as mishits, the output data indicating an optimal shot achievable by the golfer.