Machine-Learned Golf Clubhead Detection for Swing Path Display
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Solution Overview
Problem
Existing technologies face challenges in precisely detecting the position of a golf club's clubhead and clubface during a swing, particularly when using fiducial markings, which are cumbersome to attach and affect the precision of swing analysis.
Innovation Solution
A display control apparatus and method using machine learning to detect the toe, heel, neck, and edge positions of a golf club's clubhead from captured images, employing a learned model to enhance precision and facilitate swing analysis without the need for adhesive fiducial markings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fiducial markings are adhered to the clubhead to detect position with high precision, then measurement precision is improved, but device complexity and ease of operation deteriorate due to adhesive attachment requirements
Solution Approach 1:
The patent uses image processing to create a visual copy representation of the clubhead and its movement trajectory, replacing the need for physical fiducial markings. The system captures images of the clubhead during swing and generates a displayed trajectory that visually represents position and movement without requiring adhesive attachments to the actual clubhead.
Solution Approach 2:
The patent replaces the mechanical adhesive attachment system with an optical imaging system. Instead of physically attaching fiducial marks to the clubhead, the system uses cameras to capture images and computationally determines position and trajectory, substituting mechanical attachment with optical and computational methods.
2Measurement precision
If fiducial markings are used for detecting clubhead movement, then measurement precision is improved, but device complexity increases due to multiple components required
Solution Approach 1:
The patent makes the image processing system multi-functional by using a single camera system to simultaneously capture clubhead position, movement trajectory, and swing characteristics. This universal approach eliminates the need for separate fiducial marking systems and multiple detection components, reducing overall device complexity while maintaining precision.
3Ease of operation
If captured images alone are used to detect clubhead position, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent implements a feedback loop where captured images are processed to generate trajectory information, which is then displayed to provide visual feedback about clubhead movement. This feedback mechanism allows the system to maintain high precision by continuously analyzing image data and adjusting the displayed trajectory to accurately represent actual clubhead movement throughout the swing.
Data Source
AI summary
A display control apparatus includes: a captured image obtaining unit that obtains captured images of a clubhead of a golf club; a specified position detecting unit that detects positional data of a toe and a heel of the clubhead which are included in the captured images, by inputting the captured images obtained by the captured image obtaining unit into a learned model obtained by machine learning of relationships between multiple captured images of club heads of golf clubs and positional data of toes and heels of the clubheads which are included in the multiple captured images; and a control unit that displays information based on the positional data of the toe and the heel of the clubhead detected by the specified position detecting unit.