Golf Club Component Selection via Swing Characteristic Data Analysis
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Solution Overview
Problem
Existing methods struggle to efficiently recommend golf club components that fit individual golfers, as classifying swing types alone is insufficient to determine the most suitable components, leading to difficulties in selecting appropriate components.
Innovation Solution
A selection support apparatus that acquires swing characteristic data from test shots, determines the golfer's swing type, calculates recommended component values, and selects suitable components based on this data, using a system that includes a CPU, storage unit, and communication interface to provide personalized component recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If swing type classification is used for component selection, then the selection process becomes simpler, but the recommendation accuracy deteriorates because classification alone is insufficient to determine the most suitable components
Solution Approach 1:
The patent transitions from qualitative swing type classification to quantitative parameter-based analysis by introducing multiple characteristic values (head speed, swing speed, club head path angle, face angle, etc.). These numerical parameters enable precise calculation of recommended component specifications, resolving the contradiction between operational simplicity and recommendation accuracy.
Solution Approach 2:
The patent adds multiple dimensional parameters beyond simple swing type classification. By incorporating five or more characteristic values representing different aspects of swing mechanics, the system creates a multi-dimensional evaluation space that simultaneously maintains ease of operation through standardized measurement and improves accuracy through comprehensive analysis.
2Measurement precision
If multiple types of characteristic data are acquired and analyzed, then the recommendation accuracy improves, but the device complexity increases due to the need for multiple sensors and data processing systems
Solution Approach 1:
The patent employs a multi-functional data acquisition system where sensors capture multiple characteristic values (head speed, swing speed, path angles, face angles) simultaneously through integrated measurement. This universal approach allows one system to perform multiple measurement functions, improving accuracy without proportionally increasing device complexity.
Solution Approach 2:
The patent combines multiple measurement functions into a unified data acquisition and processing system. By merging sensor data collection, processing, and component recommendation into an integrated system, the patent reduces the complexity that would otherwise arise from separate systems for each measurement function.
3Manufacturing precision
If component recommendations are based on multiple characteristic values and swing types, then the fitting precision improves, but the time required for selection increases due to more comprehensive analysis
Solution Approach 1:
The patent pre-establishes the relationship between swing characteristics and component specifications through predetermined data and algorithms. By preparing recommendation criteria and component databases in advance, the system can quickly match measured characteristics to suitable components without time-consuming manual analysis, thus improving fitting precision while minimizing selection time.
Solution Approach 2:
The patent replaces manual component selection with an automated information processing system that calculates recommended component values based on measured characteristics. This substitution of mechanical/manual processes with computational algorithms enables comprehensive analysis of multiple parameters to be performed rapidly, improving precision without significant time loss.
Data Source
AI summary
A selection support apparatus acquires a plurality of types of characteristic data representing a swing characteristic of a testing golfer based on a test shot result of a golf club. The apparatus determines a swing type of the testing golfer out of swing types classified in advance based on at least one of the plurality of types of characteristic data. The apparatus calculates a recommended value for the testing golfer in association with a characteristic value that characterizes a component of a golf club based on at least one of the plurality of types of characteristic data. The apparatus selects, based on the swing type of the testing golfer, the recommended value, and component information representing a correspondence between components, the swing types, and the characteristic value, a recommended component from the components listed in the component information.