Golf Swing Analysis Device Linking Ball Flight Data to Swing Characteristics
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Solution Overview
Problem
Existing golf swing analysis systems fail to accurately predict golf ball trajectories and resting places due to the complexity of combining multiple swing flaws, leading to inaccurate predictions of ball flight.
Innovation Solution
A portable, handheld or wearable electronic device that associates actual golf ball flight data with sensed swing characteristic data using a location-determining component, sensor, and computing device, allowing for the calculation and display of ball flight data linked with swing characteristic data, including club head angles, velocities, and golfer movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated swing analysis systems use video equipment, lasers, or acceleration sensors to detect swing characteristics and predict ball trajectory, then swing analysis capability is improved, but prediction accuracy deteriorates due to the complexity of combining multiple swing flaws
Solution Approach 1:
The system incorporates actual ball flight data as feedback to continuously refine and update the relationship between swing characteristics and ball outcomes. By comparing predicted trajectories with actual trajectories and using this feedback to adjust the analysis model, the system overcomes the inaccuracy caused by complex swing flaw combinations.
Solution Approach 2:
The patent introduces actual ball flight data as an intermediary element that bridges the gap between swing characteristics and prediction accuracy. This intermediary data serves as a reference standard to validate and calibrate the automated analysis system, enabling more accurate predictions despite the complexity of multiple swing flaws.
2Extent of automation
If swing analysis systems attempt to predict ball trajectory based on sensed swing characteristics, then analytical capability is improved, but reliability deteriorates because the same swing characteristic with slight changes may result in different ball flight trajectories
Solution Approach 1:
By incorporating actual ball flight data into the analysis system, feedback is provided that allows the system to learn from real outcomes. This feedback mechanism enables the system to account for slight variations in swing characteristics and their impact on ball flight, thereby improving prediction reliability and consistency.
Solution Approach 2:
The system performs preliminary data collection and analysis by gathering actual ball flight data before making predictions. This preliminary action establishes a baseline of real-world outcomes that the system can reference, improving its ability to handle slight variations in swing characteristics and enhancing overall prediction reliability.
3Adaptability or versatility
If multiple swing flaws are combined in analysis, then comprehensive swing evaluation is improved, but prediction accuracy deteriorates due to the difficult to predict results from interacting swing errors
Solution Approach 1:
The system uses actual ball flight data as feedback to validate predictions when multiple swing flaws are present. This feedback allows the system to learn the actual outcomes of complex swing flaw interactions, thereby maintaining comprehensive evaluation capability while improving prediction accuracy through empirical validation.
Solution Approach 2:
Actual ball flight data serves as an intermediary that mediates between complex swing flaw combinations and prediction accuracy. By introducing this intermediary element, the system can comprehensively evaluate multiple swing flaws while using real outcome data to calibrate and improve the accuracy of predictions for complex, interacting swing errors.
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
Provides accurate associations of ball flight data with swing characteristics, enabling golfers to improve their techniques by understanding the impact of various swing parameters on shot outcomes, leading to more precise predictions and improved performance.
Implementation Method 1
the location-determining component is a satellite navigation receiver that receives satellite signals from a plurality of satellites and determines location information as a function of the satellite signals
Data Source
AI summary
A method and electronic device for analyzing golf swings associates actual ball flight data with sensed swing characteristics. The electronic device includes a location-determining component; a sensor; a display; and a computing device all housed within a portable, handheld or wearable enclosure. The computing device may associate the ball flight data with the swing characteristic data by storing the data together in memory, linking the data in memory, displaying representations of the data together, or by any other method. The computing device may also create a reference profile for a golfer based on ball flight data and sensed swing characteristics for a plurality of golf swings and may associate swing characteristics with particular golf clubs.