Next-Generation Golf Performance Analytics

Publication ID: 24-11857860_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Golf Performance Analytics,” Published Technical Disclosure No. 24-11857860_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857860_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. 11,857,860.

Summary of the Inventive Concept

A comprehensive golf performance analytics system that leverages AI, AR, and wearable technologies to provide personalized coaching, real-time feedback, and immersive simulation experiences, revolutionizing the way golfers improve their game.

Background and Problem Solved

The original digital golf assistant patent addressed the need for scorekeeping and basic analytics, but it had limitations in providing personalized coaching and real-time feedback. The new inventive concept builds upon this foundation, tackling the problem of limited accessibility to professional coaching and the lack of immersive, data-driven training experiences for golfers.

Detailed Description of the Inventive Concept

The system comprises a golf course-specific augmented reality module, a wearable device with haptic feedback and biomechanical analysis, and a cloud-based training platform utilizing machine learning algorithms. The AR module projects virtual golf swing analysis data onto a real-world golf course, providing real-time feedback and suggestions for improvement. The wearable device offers real-time feedback on swing mechanics and suggests adjustments for improved performance. The cloud-based platform analyzes a golfer's performance data and provides personalized training regimens tailored to the golfer's specific strengths, weaknesses, and goals. Additionally, the system includes a golf swing simulation system, utilizing advanced physics engines and machine learning algorithms to simulate various golf swing scenarios, allowing golfers to practice and perfect their swings in a virtual environment.

Novelty and Inventive Step

The new inventive concept's use of AI-driven analysis, AR projection, and haptic feedback wearable devices, combined with machine learning-based personalized coaching and simulation capabilities, represents a significant departure from the original patent's scorekeeping and basic analytics focus. The integration of these advanced technologies and features provides a novel and non-obvious solution for golf performance improvement.

Alternative Embodiments and Variations

Alternative embodiments could include integrating the system with existing golf equipment, such as golf clubs or balls, to provide even more detailed analysis and feedback. Variations could also involve adapting the system for use in other sports or activities that require precise movement analysis and feedback, such as tennis or baseball.

Potential Commercial Applications and Market

The next-generation golf performance analytics system has significant commercial potential in the golf industry, with potential applications in professional coaching, golf instruction, and golf equipment sales. The system could also be marketed to golf enthusiasts and recreational golfers looking to improve their game. Additionally, the technology could be adapted for use in other sports and industries, expanding its market potential.

CPC Classifications

SectionClassGroup
A A63 A63B71/0616
A A63 A63B24/0021
A A63 A63B69/36
A A63 A63B69/3605
A A63 A63B71/0622
H H04 H04M1/72457
A A63 A63B2024/0025
A A63 A63B2220/12
A A63 A63B2220/40
A A63 A63B2225/50
A A63 A63B2225/74
H H04 H04M1/72427

Field of Art

Sports technology and digital performance analytics, specifically golf performance tracking and improvement systems, encompassing mobile computing, augmented reality, wearable technology, and machine learning-based performance analysis

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in software engineering, sports biomechanics, mobile application development, machine learning algorithms, and digital performance tracking technologies, typically holding advanced degrees in computer science, electrical engineering, or sports science

Obviousness Rationale

A person having ordinary skill in the art would recognize that the source patent's foundational golf performance tracking and analytics framework naturally invites technological extensions using emerging technologies like augmented reality, machine learning, and wearable sensors. The PTD represents a predictable progression of the source patent's core concept of digital performance analysis, applying known technological approaches to enhance golf performance tracking and coaching.

Obvious Combinations & Variations

Source Patent Element
Electronic user interface for displaying ability metrics and performance statistics
PTD Variation
Augmented reality module projecting virtual golf swing analysis data onto real-world golf course
Obviousness Reasoning
Extending visual performance tracking to AR is a predictable design choice using known visualization technologies, representing an obvious enhancement to existing digital performance display methods
Source Patent Element
Aggregating ability metrics across multiple events or rounds
PTD Variation
Cloud-based training platform utilizing machine learning to analyze performance data and generate personalized training regimens
Obviousness Reasoning
Applying machine learning to existing performance tracking methodologies represents a known technique for improving data analysis and generating personalized insights
Source Patent Element
Providing training advice based on statistical performance distribution
PTD Variation
Wearable device with haptic feedback and biomechanical analysis for real-time swing mechanics correction
Obviousness Reasoning
Integrating real-time biomechanical feedback into performance improvement systems is an obvious technological progression using known sensor and feedback technologies
Source Patent Element
Electronic scorekeeping and performance tracking method
PTD Variation
Golf swing simulation system using advanced physics engines and machine learning to model swing scenarios
Obviousness Reasoning
Expanding performance tracking to include simulation-based training represents a predictable application of computational modeling techniques to sports performance improvement
Source Patent Element
Digital golf performance tracking across multiple users
PTD Variation
AI-driven analysis correlating swing data with environmental factors like wind speed and direction
Obviousness Reasoning
Incorporating environmental context into performance analysis is an obvious enhancement using known machine learning and data correlation techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857860 and the technological context of digital sports performance tracking, the present published technical disclosure demonstrates that the claimed innovations would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed variations represent predictable technological extensions utilizing known techniques in augmented reality, machine learning, and performance analytics, thereby rendering potential patent claims obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,857,860
TitleDigital golf assistant
Assignee(s)NIKE, Inc.