Digital Athletic Performance Assistant

Publication ID: 24-11857860_0007_PTD

Published: October 28, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Digital Athletic Performance Assistant,” Published Technical Disclosure No. 24-11857860_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857860_0007_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 system and method for monitoring, analyzing, and improving athletic performance in non-golf sports, leveraging machine learning algorithms and wearable devices to provide personalized coaching recommendations and talent identification.

Background and Problem Solved

While digital golf assistants have enabled golfers to track and improve their game, other sports have lacked similar tools. The present inventive concept addresses this gap by applying the core technology of digital golf assistants to non-golf sports, providing athletes and coaches with valuable insights and actionable advice.

Detailed Description of the Inventive Concept

The digital athletic performance assistant system comprises a wearable device, a server, and a user interface. The wearable device tracks athletic performance metrics, such as speed, distance, and acceleration. The server aggregates and analyzes these metrics using machine learning algorithms, identifying patterns and trends. The user interface displays visual representations of the athletic performance metrics and provides personalized coaching recommendations, talent identification, and customized training programs. The system can be applied to various non-golf sports, including football, basketball, soccer, and tennis.

Novelty and Inventive Step

The new claims introduce a novel application of digital golf assistant technology to non-golf sports, leveraging machine learning algorithms and wearable devices to provide personalized coaching recommendations and talent identification. This inventive step expands the original patent's scope, enabling athletes and coaches in various sports to benefit from data-driven insights and improved performance.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the digital athletic performance assistant with existing sports equipment, such as smart basketballs or footballs, or incorporating additional data sources, like video analysis or biomechanical sensors. Variations may involve adapting the system for specific sports or age groups, or developing specialized algorithms for different athletic disciplines.

Potential Commercial Applications and Market

The digital athletic performance assistant has significant commercial potential in the sports technology industry, targeting professional sports teams, athletic academies, and individual athletes. The system can be marketed as a subscription-based service, offering data analytics, coaching tools, and talent identification platforms. Potential partnerships include collaborations with sports equipment manufacturers, athletic wearables companies, and sports media organizations.

CPC Classifications

Section	Class	Group
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

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Sports performance analytics and digital coaching technologies, encompassing wearable sensor systems, performance metric tracking, and machine learning-based data analysis for athletic performance improvement

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in sports technology, data analytics, machine learning, mobile computing, and sensor-based performance tracking, typically holding an advanced degree in computer science, sports science, or electrical engineering with 3-5 years of industry experience

Obviousness Rationale

The published technical disclosure represents a predictable extension of the source patent's digital performance tracking and analysis framework by generalizing the golf-specific methodology to broader athletic performance contexts. A PHOSITA would recognize the fundamental technical similarities in data collection, machine learning analysis, and visual performance representation across different sports domains. The core technological infrastructure for tracking, analyzing, and visualizing performance metrics remains substantially consistent, with only domain-specific parameter adjustments.

Obvious Combinations & Variations

Source Patent Element

Maintaining ability metrics from multiple users with common ability levels

PTD Variation

Aggregating athletic performance metrics across multiple athletes in different sports

Obviousness Reasoning

Extending performance metric aggregation to non-golf sports represents a straightforward application of known data collection and statistical analysis techniques, involving predictable design choices and known technological substitution

Source Patent Element

Visual image generation illustrating aggregated ability metrics

PTD Variation

Creating visual representations of athletic performance metrics using machine learning algorithms

Obviousness Reasoning

Applying established data visualization techniques to different performance domains constitutes a known method of presenting comparative statistical information, involving routine engineering adaptations

Source Patent Element

Providing training advice based on statistical distribution comparisons

PTD Variation

Generating personalized coaching recommendations through machine learning analysis of performance data

Obviousness Reasoning

Translating performance-based recommendation systems across sports domains represents a predictable technological evolution using standard machine learning techniques and performance analysis frameworks

Source Patent Element

Electronic user interface for displaying performance metrics

PTD Variation

Developing multi-sport user interfaces for tracking and analyzing athletic performance across different disciplines

Obviousness Reasoning

Generalizing user interface design for performance tracking involves well-understood software engineering principles of modular interface development and configurable data presentation

Source Patent Element

Digital tracking of individual performance metrics

PTD Variation

Implementing wearable device tracking for multiple athletic performance parameters

Obviousness Reasoning

Expanding sensor-based performance tracking to different sports represents a predictable technological progression using established sensor integration and data collection methodologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857860, the present published technical disclosure demonstrates that the claimed variations in athletic performance tracking and analysis would have been obvious to a person having ordinary skill in the art at the time of invention, as the technical modifications represent straightforward adaptations of known performance monitoring technologies across different sporting domains, involving no more than routine engineering skill and predictable technological substitutions.

Original Patent Information

Patent Number	US 11,857,860
Title	Digital golf assistant
Assignee(s)	NIKE, Inc.