Synergistic Exercise Fatigue Assessment System
Legal Citation
Summary of the Inventive Concept
A novel system integrating AI, IoT, blockchain, and new materials to provide personalized exercise fatigue tracking and assessment, enabling users to optimize their training and recovery.
Background and Problem Solved
The original patent disclosed a method and device for assessing exercise fatigue, but it had limitations in terms of data security, environmental factor consideration, and material constraints. The new inventive concept addresses these limitations by incorporating synergistic combinations of distinct technologies to create a more powerful and accurate system.
Detailed Description of the Inventive Concept
The system comprises a wearable device with a graphene-based heart rate sensor, an AI-based exercise load computation model, and a blockchain-based data storage module. The AI-based model integrates with the heart rate sensor to calculate a training stress balance (TSB) and the blockchain-based module securely stores the TSB data for personalized fatigue level tracking. The system can also integrate with IoT-enabled environmental data, such as temperature, humidity, air quality, and noise levels, to provide a more comprehensive assessment of exercise fatigue. The graphene-based sensor enables accurate heart rate monitoring during intense exercise, while the blockchain-based module ensures secure and transparent data storage.
Novelty and Inventive Step
The new claims introduce the synergistic combination of AI, IoT, blockchain, and new materials, which is non-obvious and novel compared to the original patent. The integration of these distinct technologies enables a more powerful and accurate system for exercise fatigue assessment and tracking.
Alternative Embodiments and Variations
Alternative embodiments may include using different types of sensors, such as ECG or GPS, or integrating with other data sources, such as social media or health records. Variations may include adapting the system for specific sports or fitness activities, or developing a cloud-based platform for data analysis and visualization.
Potential Commercial Applications and Market
The synergistic exercise fatigue assessment system has significant commercial potential in the fitness and sports industries, particularly in professional sports, elite athletics, and personalized fitness training. The system can be marketed as a premium offering for athletes and fitness enthusiasts seeking to optimize their performance and recovery.
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)
Field of Art
Exercise physiology, wearable technology, and biometric monitoring systems, encompassing medical device technologies, fitness tracking, and computational methods for physiological data analysis
Person of Ordinary Skill (PHOSITA) Profile
A professional with expertise in biomedical engineering, computer science, or exercise science, possessing knowledge of sensor technologies, machine learning, data processing algorithms, and physiological monitoring techniques
Obviousness Rationale
A person of ordinary skill would recognize that integrating emerging technologies like AI, blockchain, and advanced sensors into existing exercise fatigue assessment methods represents a predictable technological evolution. The source patent's foundational exercise load computation model provides a clear framework that a skilled practitioner would naturally extend using contemporary technological approaches. The PTD's variations demonstrate standard engineering problem-solving by applying known computational and sensing technologies to enhance an existing exercise monitoring methodology.
Obvious Combinations & Variations
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 |