Next-Generation Exercise Fatigue Assessment and Prevention System
Legal Citation
Summary of the Inventive Concept
A cutting-edge system for predicting and preventing exercise fatigue, leveraging machine learning, wearable devices, and environmental sensors to provide personalized recommendations for optimal exercise routines and intensity adjustments.
Background and Problem Solved
The original patent disclosed a method and device for assessing exercise fatigue based on heart rate data. However, this approach has limitations in terms of accuracy and personalization. The present inventive concept addresses these limitations by incorporating machine learning algorithms, real-time environmental data, and wearable devices to provide a more comprehensive and accurate assessment of exercise fatigue.
Detailed Description of the Inventive Concept
The next-generation system comprises a wearable device that collects real-time exercise heart rates, GPS data, and environmental sensors. The data is transmitted to a cloud-based server, where machine learning algorithms analyze the user's historical exercise data, environmental factors, and physiological parameters to calculate a personalized fatigue threshold. The system provides users with real-time feedback and recommendations for adjusting exercise intensity to prevent fatigue. The system can also optimize exercise routines based on fatigue levels, incorporating a database of exercise routines and adapting to the user's changing fitness levels.
Novelty and Inventive Step
The new claims introduce a paradigm shift in exercise fatigue assessment by incorporating machine learning, wearable devices, and environmental sensors. The inventive concept's novelty lies in its ability to provide personalized and accurate fatigue assessments, enabling users to optimize their exercise routines and prevent fatigue.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include integrating additional physiological parameters, such as sleep quality and heart rate variability, or incorporating social media and community features to enhance user engagement. Variations could also include developing specialized systems for specific sports or exercise disciplines.
Potential Commercial Applications and Market
The next-generation exercise fatigue assessment and prevention system has vast commercial potential in the fitness, sports, and healthcare industries. The system could be marketed as a premium service for professional athletes, fitness enthusiasts, and individuals seeking to optimize their exercise routines and prevent fatigue. The system's ability to provide personalized recommendations and real-time feedback could also be leveraged in the development of customized exercise programs and fitness products.
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 and performance monitoring technologies, specifically focused on fatigue assessment systems involving biometric data collection, computational modeling, and personalized exercise analysis
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in biomedical engineering, exercise science, wearable technology, and machine learning algorithms for physiological data processing, typically holding a master's or doctoral degree with practical experience in sensor design and health monitoring systems
Obviousness Rationale
A person having ordinary skill would recognize that extending the source patent's exercise fatigue assessment method with machine learning, environmental sensors, and real-time adaptive recommendations represents a predictable technological progression. The fundamental computational approach of analyzing heart rate data and establishing exercise load models provides a clear technical foundation for incorporating more sophisticated data processing techniques. The PTD's variations represent natural technological evolution by integrating emerging sensor technologies and computational approaches into an existing exercise monitoring framework.
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 |