Enhanced Exercise Fatigue Assessment and Optimization System

Publication ID: 24-11857838_0001_PTD

Published: October 28, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Exercise Fatigue Assessment and Optimization System,” Published Technical Disclosure No. 24-11857838_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857838_0001_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. 11,857,838.

Summary of the Inventive Concept

An advanced system for assessing exercise fatigue, providing real-time feedback, and optimizing exercise performance through personalized plans and alerts.

Background and Problem Solved

The original patent, 'Method and device for assessing exercise fatigue,' has limitations in terms of real-time feedback, exercise intensity adjustment, and personalized planning. The new inventive concept addresses these limitations by introducing an alert module, real-time exercise intensity adjustment, and personalized exercise planning.

Detailed Description of the Inventive Concept

The enhanced system consists of a heart rate monitoring module, a training load computation module, a fatigue level determination module, an alert module, and a personalized exercise planning module. The system collects real-time exercise heart rates, calculates chronic and acute training loads, determines fatigue levels, and provides alerts when the fatigue level exceeds a predetermined threshold. Additionally, the system adjusts exercise intensity in real-time based on the determined fatigue level and generates personalized exercise plans to improve exercise efficiency. The system can be implemented as a wearable device, a mobile application, or a web platform, enabling users to optimize their exercise performance and reduce the risk of injury.

Novelty and Inventive Step

The new claims introduce the alert module, real-time exercise intensity adjustment, and personalized exercise planning, which are not present in the original patent. These features provide a significant improvement in exercise fatigue assessment and optimization, making the new inventive concept novel and non-obvious.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating with popular fitness platforms, incorporating machine learning algorithms to predict fatigue patterns, or using artificial intelligence to provide personalized coaching. Variations could include developing specific systems for different types of exercises, such as running or cycling, or creating a system for team sports.

Potential Commercial Applications and Market

The enhanced exercise fatigue assessment and optimization system has significant commercial potential in the fitness and sports industries. It can be marketed as a wearable device, a mobile application, or a web platform, targeting professional athletes, fitness enthusiasts, and health-conscious individuals. The system can also be integrated with existing fitness platforms, gyms, and sports teams, providing a comprehensive solution for exercise optimization and injury prevention.

CPC Classifications

Section	Class	Group
A	A63	A63B24/0062
A	A61	A61B5/02438
A	A61	A61B5/1112
A	A61	A61B5/1118
G	G16	G16H50/30
A	A61	A61B2503/10
A	A63	A63B2024/0065
A	A63	A63B2220/62
A	A63	A63B2230/062

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Exercise physiology and performance monitoring technologies, specifically focused on wearable fitness tracking systems that analyze heart rate, training load, and fatigue metrics using computational methods

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or computer scientist with expertise in fitness tracking technologies, physiological monitoring systems, and data analytics for exercise performance, typically holding a master's degree with 3-5 years of experience in wearable technology design

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's extensions represent predictable variations of the source patent's core exercise fatigue assessment methodology. The additional features like real-time alerts, personalized planning, and machine learning predictions are logical technological progressions that naturally emerge from the foundational heart rate and training load computation approach disclosed in the original patent.

Obvious Combinations & Variations

Source Patent Element

Exercise load computation model using heart rate parameters

PTD Variation

Adding real-time exercise intensity adjustment based on calculated fatigue levels

Obviousness Reasoning

A PHOSITA would find it obvious to dynamically modify exercise parameters based on computed fatigue metrics, as this represents a standard adaptive control approach in performance monitoring systems

Source Patent Element

Fatigue level determination using CTL and ATL calculations

PTD Variation

Implementing an alert module to notify users when fatigue exceeds predetermined thresholds

Obviousness Reasoning

Providing user notifications for physiological state changes is a well-known design approach in health monitoring technologies, representing a predictable implementation of the existing fatigue assessment framework

Source Patent Element

Heart rate-based exercise load computation model

PTD Variation

Incorporating machine learning algorithms to predict future fatigue patterns

Obviousness Reasoning

Applying predictive analytics to physiological monitoring data is a standard technique in data science, representing an obvious extension of existing computational methods for exercise assessment

Source Patent Element

Basic exercise fatigue assessment methodology

PTD Variation

Creating personalized exercise plans based on individual fatigue analysis

Obviousness Reasoning

Generating customized training recommendations from physiological data is a logical and predictable application of computational health monitoring technologies

Source Patent Element

Training load computation using heart rate parameters

PTD Variation

Developing a system integrable with multiple fitness platforms and devices

Obviousness Reasoning

Designing interoperable health monitoring systems is a standard engineering approach, representing an obvious technological progression in fitness tracking technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857838 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The presented technical disclosure demonstrates that the claimed system extensions represent predictable combinations of known techniques in exercise performance monitoring, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent Number	US 11,857,838
Title	Method and device for assessing exercise fatigue
Assignee(s)	Guangdong COROS Sports Technology Joint Stock Company