Published Technical Disclosure Archive

Next-Generation Golf Data Analysis and Training Platform

Publication ID: 24-11857836_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Golf Data Analysis and Training Platform,” Published Technical Disclosure No. 24-11857836_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857836_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,836.

Summary of the Inventive Concept

A comprehensive golf data analysis and training platform leveraging AI, machine learning, and blockchain technologies to revolutionize golf training, community building, and data analysis.

Background and Problem Solved

The original patent for storing and analyzing golf data has limitations in providing personalized coaching, community engagement, and data security. The new inventive concept addresses these limitations by introducing advanced technologies to create a more immersive, data-driven, and secure golf ecosystem.

Detailed Description of the Inventive Concept

The next-generation golf data analysis and training platform consists of a neural network-based golf swing evaluation system, a machine learning-driven personalized coaching module, a cloud-based data storage system, and a blockchain-enabled community platform. The platform integrates sensor data, ball flight information, and user feedback to provide real-time coaching recommendations, personalized training plans, and community insights. The virtual reality environment and sensor system enable immersive golf training, while the decentralized blockchain platform ensures secure data sharing and community engagement.

Novelty and Inventive Step

The new claims introduce a paradigm shift in golf data analysis and training by leveraging AI, machine learning, and blockchain technologies to provide personalized coaching, community engagement, and secure data sharing. The inventive concept's novelty lies in the integration of these advanced technologies to create a holistic golf ecosystem.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using augmented reality instead of virtual reality, integrating with wearable devices for additional data collection, or expanding the platform to other sports and activities. Variations could also include different machine learning algorithms, data analytics engines, or blockchain protocols.

Potential Commercial Applications and Market

The next-generation golf data analysis and training platform has significant commercial potential in the golf industry, with applications in professional training, amateur coaching, and community building. The platform could also be expanded to other sports and activities, providing a broad market opportunity.

CPC Classifications

SectionClassGroup
A A63 A63B24/0006
A A41 A41D1/002
A A41 A41D19/0027
A A43 A43B3/34
A A43 A43B5/001
A A43 A43B5/16
A A63 A63B24/00
A A63 A63B24/0003
A A63 A63B24/0021
A A63 A63B37/0003
A A63 A63B43/00
A A63 A63B55/00
A A63 A63B69/3605
A A63 A63B69/3632
A A63 A63B71/0622
A A63 A63B71/0669
A A63 A63B71/146
A A63 A63B69/362
A A63 A63B71/0616
A A63 A63B2024/0025
A A63 A63B2024/0034
A A63 A63B2024/0056
A A63 A63B2071/0647
A A63 A63B2071/0691
A A63 A63B2102/32
A A63 A63B2220/12
A A63 A63B2220/13
A A63 A63B2220/14
A A63 A63B2220/16
A A63 A63B2220/20
A A63 A63B2220/30
A A63 A63B2220/40
A A63 A63B2220/51
A A63 A63B2220/52
A A63 A63B2220/53
A A63 A63B2220/80
A A63 A63B2220/801
A A63 A63B2220/803
A A63 A63B2220/83
A A63 A63B2220/833
A A63 A63B2220/836
A A63 A63B2225/15
A A63 A63B2225/20
A A63 A63B2225/50
A A63 A63B2225/54

Field of Art

Sports technology, wearable sensor systems, data analytics for athletic performance, with expertise in golf training and performance tracking systems

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced engineering or computer science degree, background in sports biomechanics, sensor design, machine learning, and data analytics, familiar with emerging technologies in sports performance tracking

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a natural technological progression from the source patent's golf swing data collection system, applying contemporary technologies like AI, machine learning, and blockchain to extend the core concept of golf performance tracking and analysis. The integration of neural networks, virtual reality, and decentralized data platforms would be seen as predictable evolutionary steps in sports technology given the existing foundational patent. The PTD's variations represent logical combinations of known techniques to enhance data collection, analysis, and community engagement in golf performance tracking.

Obvious Combinations & Variations

Source Patent Element
Sensor system for detecting golf swing dynamics information
PTD Variation
Neural network trained on golf swing dynamics and ball flight data for predictive analysis
Obviousness Reasoning
Applying machine learning to sensor-collected data is a known technique for extracting deeper insights, representing a predictable technological enhancement
Source Patent Element
Electronic golf community data collection and storage system
PTD Variation
Blockchain-enabled decentralized platform for secure golf data sharing
Obviousness Reasoning
Implementing blockchain for secure, distributed data management is a standard technological solution for community data platforms
Source Patent Element
Golf swing evaluation system with output devices
PTD Variation
Virtual reality environment providing immersive training and real-time feedback
Obviousness Reasoning
Extending feedback mechanisms into immersive training environments is a natural progression in sports performance technology
Source Patent Element
Sensor system for detecting user golf swing dynamics
PTD Variation
Cloud-based data storage and analytics engine for multi-user performance insights
Obviousness Reasoning
Centralizing and analyzing collected sensor data through cloud platforms is a standard approach for scalable performance tracking
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857836 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the integration of neural networks, blockchain, virtual reality, and advanced data analytics represents a predictable extension of existing golf performance tracking technologies, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,836
TitleSystems and methods for storing and analyzing golf data, including community and individual golf data collection and storage at a central hub
Assignee(s)Karsten Manufacturing Corporation