Body Type Specific Golf Stance Guidance System
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Solution Overview
Problem
Current golf training methods do not provide personalized guidance based on individual body types, leading to suboptimal stance and swing techniques for golf players.
Innovation Solution
An apparatus and system that uses body type-specific indicia and pegs to guide golfers' stances and swings by determining and utilizing body type criteria, such as arm length, shoulder slant, and hip width, to provide tailored guidance through a method involving user interaction or automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generic golf training methods are used, then device complexity is reduced, but training effectiveness deteriorates due to lack of personalization
Solution Approach 1:
The training system is segmented into multiple body type categories (e.g., athletic, average, elderly) with specific guidance protocols for each. This allows the system to provide personalized instruction without requiring completely separate systems for each individual, thus improving training effectiveness while managing complexity through categorization.
Solution Approach 2:
The system changes key parameters such as stance width, ball position, and swing plane based on the user's body type classification. By adjusting these fundamental training parameters according to body characteristics, the system delivers personalized guidance without needing to redesign the entire training methodology for each individual.
2Reliability
If body type-specific guidance is provided, then training effectiveness is improved, but ease of operation deteriorates due to additional setup requirements
Solution Approach 1:
The system performs preliminary body type assessment and classification before the actual golf training begins. By determining the user's body type category in advance and pre-configuring appropriate guidance parameters, the system eliminates the need for complex real-time adjustments during training, thus maintaining ease of operation while delivering personalized instruction.
3Measurement precision
If multiple body type criteria are measured, then measurement precision is improved, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The system uses a universal set of body type criteria (height, weight, age, activity level) that can be measured with common, readily available tools rather than specialized equipment. This multi-functional approach allows accurate body type classification using standard measurements that serve multiple purposes in determining appropriate golf training guidance.
Data Source
AI summary
Disclosed herein is automated guidance information regarding the stance or swing of golf player's as a function of each user's body type information, feet indicia, for indicating pre-determined positions on the ground to place the user's feet relative to one another; ball lines, and peg indicia, for guiding the movements of the user's body, or the user's golf club, relative to the peg indicia. Given the body type information of the user, body type specific information referencing a select body type specific feet indicia, a select body type specific ball line, or a select body type specific peg indicia is provided. Further disclosed are: (a) determining body type criteria information; (b) determining body type information using the body type criteria information; and (c) selecting from a plurality of body type specific information using the body type information.