Golf Swing Classification via Trajectory Segmentation
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Solution Overview
Problem
Current methods for selecting a suitable golf club are inefficient, as they either require a long time for custom design or lack precision in classifying golf swings due to reliance on limited impact-related information, leading to suboptimal club selection and classification accuracy.
Innovation Solution
A golf swing classification method that partitions the swing into backswing, downswing, and follow-through trajectories, assigns two-dimensional coordinates, calculates angles and distances, and classifies based on differences between these parameters, using imaging cameras and analysis devices to provide precise classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If custom golf club design method utilizing multiple parameters is used, then classification precision is improved, but time consumption increases
Solution Approach 1:
The patent segments the golf swing trajectory into three distinct phases: back swing, down swing, and follow through. Each phase is analyzed independently with its own coordinate system and characteristic parameters, allowing comprehensive classification without requiring full custom design analysis of the entire swing.
Solution Approach 2:
The patent extracts key characteristic parameters from each swing phase, such as the angle between the straight line connecting the lowest point and origin to the horizontal line for back swing, and similar parameters for down swing and follow through. This extraction of essential features enables classification without analyzing all swing parameters.
2Device complexity
If classification is based only on impact-related information, then device complexity is reduced, but classification precision deteriorates
Solution Approach 1:
The patent transitions from analyzing only impact-related parameters to analyzing trajectory parameters across multiple dimensions including back swing, down swing, and follow through phases. This dimensional expansion captures comprehensive swing characteristics without significantly increasing device complexity, as the same imaging system captures all phases.
Solution Approach 2:
The patent performs preliminary analysis of the back swing and down swing phases before the impact occurs. By calculating characteristic parameters from these preliminary phases, the system enables classification based on swing style and pattern rather than only impact outcomes, improving precision without requiring complex impact-only measurement devices.
Data Source
AI summary
An object of the present invention is to provide a golf club classification method capable of classifying a golf swing precisely. Specifically, the present invention provides a classification method comprising steps of: partitioning the golf swing of the golfer into golf swing trajectories of a back swing, a down swing, and a follow through so as to determine a stable point in the golf swing trajectories as an origin for any two of the trajectories and to assign a two dimensional coordinate to the two golf swing trajectories; determining straight lines connecting each of one point selected within each of the two golf swing trajectories and the origin; calculating angles between each of the determined straight lines and the horizontal line respectively for the two golf swing trajectories; and classifying the golf swing based on a difference between the calculated angles.