Synergistic Exercise Fatigue Assessment System

Publication ID: 24-11857838_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Exercise Fatigue Assessment System,” Published Technical Disclosure No. 24-11857838_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857838_0008_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

A novel system integrating wearable devices, IoT networks, AI platforms, blockchain technology, and new materials to provide a comprehensive exercise fatigue assessment and personalized recommendations for users.

Background and Problem Solved

The original patent for assessing exercise fatigue using a computer-implemented method has limitations in terms of data collection, processing, and user engagement. The new inventive concept addresses these limitations by introducing synergistic combinations of distinct technologies to provide a more accurate, efficient, and user-friendly exercise fatigue assessment system.

Detailed Description of the Inventive Concept

The system comprises a wearable device that collects exercise heart rates and transmits the data to an IoT network. The IoT network connects to a cloud-based AI platform that calculates a chronic training load and an acute training load based on the exercise heart rates and an exercise load computation model. The AI platform determines a fatigue level based on a training stress balance and provides personalized exercise recommendations to the user. The system can also utilize blockchain technology to record and secure user data, and new materials for advanced heart rate sensors. Additionally, the system can integrate AI-powered personalized recommendations to provide users with tailored exercise plans based on their fatigue levels.

Novelty and Inventive Step

The new inventive concept introduces a synergistic combination of wearable devices, IoT networks, AI platforms, blockchain technology, and new materials to provide a comprehensive exercise fatigue assessment system, which is not obvious from the original patent. The integration of these distinct technologies provides a novel and non-obvious solution for exercise fatigue assessment and personalized recommendations.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of wearable devices, such as smartwatches or fitness trackers, or integrating with other health and fitness data sources. The system could also be adapted for use in various sports and fitness domains, such as professional athletics or rehabilitation settings.

Potential Commercial Applications and Market

The Synergistic Exercise Fatigue Assessment System has significant commercial potential in the health and fitness industry, with potential applications in professional sports, fitness centers, and individual user markets. The system's ability to provide accurate and personalized exercise recommendations could revolutionize the way people approach exercise and fitness, leading to improved health outcomes and increased user engagement.

CPC Classifications

SectionClassGroup
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

Field of Art

Exercise physiology, wearable technology, and biometric monitoring systems, involving interdisciplinary skills in biomedical engineering, computer science, and sports performance analytics

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in biomedical engineering or computer science, experienced in developing health monitoring technologies, familiar with IoT systems, machine learning algorithms, and physiological data processing techniques

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's exercise fatigue assessment method through integration of emerging technologies like IoT, AI, and blockchain represents a predictable combination of known techniques. The core computational method for assessing exercise fatigue remains fundamentally consistent, with technological enhancements providing incremental improvements in data collection, processing, and user interaction. The variations demonstrate standard engineering problem-solving approaches applied to an existing technical framework.

Obvious Combinations & Variations

Source Patent Element
Exercise heart rate-based fatigue computation model
PTD Variation
Integration of IoT network and cloud-based AI platform for data transmission and processing
Obviousness Reasoning
Networked data processing is a standard engineering approach for extending computational methods, representing a predictable technological progression
Source Patent Element
Training stress balance (TSB) calculation method
PTD Variation
Blockchain-based data recording and smart contract implementation
Obviousness Reasoning
Secure data storage and automated computational triggers are well-known techniques in distributed computing systems
Source Patent Element
Heart rate-based exercise load computation
PTD Variation
Advanced sensor materials and microcontroller integration in wearable devices
Obviousness Reasoning
Material science improvements and miniaturization are standard evolutionary paths in sensor technology development
Source Patent Element
Basic fatigue level determination algorithm
PTD Variation
AI-powered personalized exercise recommendation system
Obviousness Reasoning
Machine learning-based personalization is a known technique for enhancing user-specific computational systems
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 proposed exercise fatigue assessment system variations obvious and non-inventive. The incremental technological enhancements represent predictable combinations of known techniques in exercise monitoring and computational systems, thereby rendering potential patent claims obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,838
TitleMethod and device for assessing exercise fatigue
Assignee(s)Guangdong COROS Sports Technology Joint Stock Company