Adaptive Athletic Recovery System with Integrated Cognitive-Physical Assessments

Publication ID: 24-11857861_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Athletic Recovery System with Integrated Cognitive-Physical Assessments,” Published Technical Disclosure No. 24-11857861_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857861_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. 11,857,861.

Summary of the Inventive Concept

A next-generation athletic recovery system that leverages machine learning, artificial intelligence, and real-time physiological and cognitive data to provide personalized recovery protocols, predict athletic injury risk, and optimize athletic performance.

Background and Problem Solved

The original patent, 'Athletic recovery system combining cognitive and physical assessments,' introduced a pioneering approach to athletic training by combining cognitive tasks with physical training and recovery. However, this system has limitations in terms of its inability to adapt to individual athletes' needs, predict cognitive fatigue, and provide real-time recovery guidance. The new inventive concept addresses these limitations by integrating advanced analytics, machine learning, and AI-driven insights to create a more comprehensive and effective athletic recovery system.

Detailed Description of the Inventive Concept

The adaptive athletic recovery system consists of several key components: a cognitive fatigue prediction module, a physical fatigue assessment module, a personalized recovery protocol generator, a cognitive task engagement module, a physiological sensor array, and a machine learning-based recovery protocol optimization module. These components work in tandem to collect and analyze real-time cognitive and physiological data, forecast mental exhaustion, and provide context-aware recovery guidance. The system can be implemented through various embodiments, including wearable devices, cloud-based platforms, and mobile applications.

Novelty and Inventive Step

The new inventive concept introduces several novel features that distinguish it from the original patent. These include the use of machine learning algorithms to predict cognitive fatigue, the integration of real-time brain activity data and physical performance metrics to optimize cognitive-physical training, and the provision of personalized recovery protocols and injury risk predictions through AI-driven insights.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the type and complexity of cognitive tasks, the use of different machine learning algorithms, and the integration of additional physiological metrics or wearable devices. Furthermore, the system could be adapted for use in various sports and athletic disciplines, or even extended to applications beyond athletics, such as military or first responder training.

Potential Commercial Applications and Market

The adaptive athletic recovery system has significant commercial potential in the sports technology and athletic training markets. It could be marketed to professional sports teams, athletic training facilities, and individual athletes seeking to optimize their performance and reduce the risk of injury. Additionally, the system's applications could extend to the military, first responder, and healthcare industries, where the ability to predict and mitigate cognitive fatigue is critical.

CPC Classifications

SectionClassGroup
A A63 A63B71/0622
A A63 A63B24/0062
A A63 A63B2071/0663
A A63 A63B2225/50

Field of Art

Sports science, neurotechnology, and athletic performance optimization, specifically involving cognitive-physical training systems and performance assessment technologies

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in exercise science, sports psychology, or biomedical engineering, possessing expertise in human performance measurement, neurological assessment techniques, and athletic training technology

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and AI into the existing cognitive-physical training framework represents a predictable technological evolution. The source patent's foundational approach of combining cognitive and physical assessments naturally suggests further technological refinement through advanced data analysis and personalization techniques. The PTD's machine learning-based extensions represent an incremental improvement consistent with ongoing technological developments in sports science and performance tracking.

Obvious Combinations & Variations

Source Patent Element
Method of operating an athletic training system combining cognitive tasks with physical training
PTD Variation
Adding machine learning algorithms to predict cognitive fatigue and optimize recovery protocols
Obviousness Reasoning
Applying machine learning to performance data represents a known technique for enhancing predictive capabilities in performance tracking, with predictable results of improved personalization
Source Patent Element
Cognitive tasks including Stroop Task, Psychomotor Vigilance Task, and other standardized assessments
PTD Variation
Dynamically adjusting cognitive tasks based on real-time brain activity and physiological metrics
Obviousness Reasoning
Adaptive testing protocols are a standard approach in cognitive assessment, with machine learning providing a predictable mechanism for task customization
Source Patent Element
Recovery protocol determination based on user's cognitive and physical fatigue
PTD Variation
Implementing AI-driven injury risk prediction and targeted intervention recommendations
Obviousness Reasoning
Extending fatigue assessment to injury risk prediction represents a logical extension of existing performance monitoring technologies, utilizing known statistical and machine learning techniques
Source Patent Element
Athletic training system with computer processor and user interface
PTD Variation
Cloud-based platform with integrated cognitive task library and performance database
Obviousness Reasoning
Transitioning performance tracking systems to cloud infrastructure is a standard technological progression with predictable benefits of scalability and data integration
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857861 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed athletic performance optimization system obvious and lacking inventive step. The incremental advancements in machine learning, AI integration, and personalized performance tracking represent predictable technological extensions of the existing cognitive-physical training paradigm, thereby rendering potential claims obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,861
TitleAthletic recovery system combining cognitive and physical assessments
Assignee(s)Rewire Fitness, Inc.