Golf Equipment Fitting With Machine-Learning Swing Analysis
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Solution Overview
Problem
Determining proper golf equipment and settings for individual golfers has become increasingly complex due to the growing number of adjustable features and characteristics in modern golf clubs, making it difficult to achieve optimal performance.
Innovation Solution
A system integrating performance tracking devices with machine-learning technology to analyze golf club swings and ball flights, using optical and radar sensor systems to recommend equipment adjustments based on captured data, including swing and ball flight characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of adjustable features and characteristics in golf clubs increases, then the adaptability of equipment to individual golfers improves, but the device complexity increases
Solution Approach 1:
The system enables golfers to independently determine proper equipment and settings by using performance tracking devices and machine learning algorithms that automatically analyze swing characteristics and provide personalized recommendations, eliminating the need for complex manual configuration and expert fitting
Solution Approach 2:
The patent replaces manual equipment selection and adjustment processes with automated electronic systems including performance tracking devices, machine learning models, and computer-generated recommendations that objectively determine optimal equipment settings based on measured swing data
2Measurement precision
If manual equipment fitting processes are used, then the understanding of individual golfer needs improves, but the time and expertise required increase
Solution Approach 1:
The system replaces time-consuming manual fitting processes with automated electronic performance tracking and machine learning algorithms that rapidly analyze swing characteristics and generate equipment recommendations instantaneously
Solution Approach 2:
The patent introduces machine learning algorithms and performance tracking systems as intermediaries between the golfer's swing characteristics and equipment selection, objectively translating measured performance data into personalized equipment recommendations without requiring expert interpretation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides personalized equipment recommendations by processing dynamic and static inputs, enhancing the accuracy and efficiency of golf equipment fitting for individual golfers.
Implementation Method 1
The at least one performance tracking device includes at least one of an optical sensor system or a radar sensor system for tracking at least one of the golf club swing or the golf ball flight
Implementation Method 2
The at least one performance tracking device includes at least one of an optical sensor system or a radar sensor system for tracking at least one of the golf club swing or the golf ball flight
Data Source
AI summary
A system, method, and apparatus for generating at least one golf swing recommendation for a golfer is disclosed herein. In one aspect, the present disclosure is directed to using a machine-learning model to generate at least one modification or recommendation associated with a golfer's swing.