Golf Swing Video Analysis With AI Joint and Club Tracking
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Solution Overview
Problem
Existing golf swing analysis techniques require expensive instruments or separate sensors/markers, and golfers face inconvenience in checking swing postures repeatedly to correct issues like head-up, without efficient real-time feedback.
Innovation Solution
A method and device using a light-weighted artificial neural network model with depthwise and pointwise convolution to detect joints and club positions from a video, providing real-time feedback and automatically capturing subsequent swings for practice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional golf swing analysis techniques are used, then accurate swing analysis can be achieved, but expensive instruments or separate sensors/markers are required
Solution Approach 1:
The patent uses a video camera to capture images of the golfer's swing and creates a digital copy of the swing motion. Image processing techniques are applied to these video frames to extract swing information, replacing the need for physical sensors and markers with a visual copy-based approach. This allows accurate swing analysis using standard video equipment rather than expensive specialized instruments.
Solution Approach 2:
The patent replaces mechanical sensor systems with an optical/image processing system. Instead of using physical sensors attached to the golfer's body and club, the system uses video capture and image processing to detect swing parameters. This substitution eliminates the need for complex mechanical measurement devices while maintaining analysis accuracy.
2Reliability
If golfers check swing videos after each swing to correct posture, then swing correction is possible, but it is very inconvenient and time-consuming
Solution Approach 1:
The patent implements real-time feedback by analyzing swing images during or immediately after each swing and providing corrective information to the golfer. The system processes video frames to detect swing posture and provides feedback on whether the golfer achieved the desired swing form, enabling immediate correction without requiring manual video review. This continuous feedback loop allows golfers to correct posture efficiently during practice sessions.
Solution Approach 2:
The system enables golfers to self-correct their swing by providing automated analysis and feedback. The image processing automatically detects swing characteristics and compares them against desired swing forms, allowing golfers to independently identify and correct posture issues without requiring external coaching or manual video analysis. This self-service capability saves time while maintaining correction effectiveness.
Data Source
AI summary
A method for estimating information on a golf swing is provided. The method includes the steps of: specifying at least one analysis target posture from among a plurality of golf swing-related postures; detecting at least one of at least one joint of a user and a golf club using an artificial neural network model from a video of the user's golf swing captured by a video capture module, and providing the user with information on the user's analysis target posture estimated with reference to at least one of a position of the at least one joint and a position of the golf club; and controlling the video capture module to capture the video of the user's golf swing again after a predetermined time elapses from when the information on the analysis target posture is provided.


