Golf Swing Analysis Using Neural Network Body Part Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing golf swing analysis techniques require expensive instruments or separate sensors/markers for recognizing a golfer's posture and motion, and fail to provide golf-related content associated with swing problems to assist in remedying them.
Innovation Solution
A method and system using an artificial neural network model to detect body parts from a photographed golf swing image, estimate swing problems based on detected body part positions, and recommend golf-related content associated with these problems, all without the need for separate sensors or instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive instruments or separate sensors/markers are used to recognize golfer's posture and motion, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a camera to capture images of the golfer's swing and creates a digital copy of the visual information. Instead of requiring physical sensors on the body, the system copies the appearance and motion characteristics from standard video images, processing them through neural networks to extract posture and motion data.
Solution Approach 2:
The patent replaces mechanical sensor systems with an optical-based neural network approach. Rather than using physical accelerometers, gyroscopes, or marker-based optical tracking systems, the invention substitutes these with a camera capturing images that are then analyzed by artificial intelligence algorithms to derive motion information.
2Measurement precision
If separate sensors are attached to golfer's body and golf club, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables the golfer to perform self-analysis without requiring external equipment setup. The golfer simply records their own swing using a mobile device camera, and the neural network automatically processes the footage to provide feedback, making the system as convenient as recording a video of oneself.
3Adaptability or versatility
If comprehensive golf-related content is provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system automatically analyzes swing characteristics and provides feedback by recommending specific golf-related content based on detected issues. The neural network identifies problems in the golfer's swing and retrieves relevant instructional content from a database, creating an automated feedback loop that adapts to individual golfer needs without manual intervention.
Data Source
AI summary
A method for recommending golf-related contents is provided. The method includes detecting at least one body part of a user from a captured image by using an artificial neural network model, when the captured image related to the golf swing of the user is acquired; estimating at least one problem about the golf swing of the user by referring to the position of the detected at least one body part; and deriving, in reference to information related to the problem associated with the golf-related contents, at least one piece of candidate content associated with the at least one problem from among golf-related contents.