Adaptive Force Measurement System for Enhanced Performance and Engagement
Legal Citation
Summary of the Inventive Concept
A next-generation force measurement system that leverages AI, machine learning, and virtual reality to provide a more immersive, accurate, and personalized testing and training experience for subjects.
Background and Problem Solved
The original force measurement system, while effective, has limitations in terms of its static and pre-defined movement settings, which can lead to inaccurate data and disengaged subjects. The new inventive concept addresses these limitations by integrating advanced technologies to create a more dynamic, adaptive, and engaging system.
Detailed Description of the Inventive Concept
The new force measurement system comprises a neural network-based predictive analytics module, which forecasts a subject's performance and adapts the force measurement assembly's movement settings accordingly. The system also incorporates artificial intelligence to analyze user input and adjust the force measurement assembly's movement settings in real-time to maximize data accuracy and subject engagement. Additionally, the system can be integrated with wearable devices, virtual reality platforms, and multi-subject testing capabilities to provide a more comprehensive and immersive experience.
Novelty and Inventive Step
The new claims introduce a paradigm shift in force measurement systems by incorporating AI, machine learning, and virtual reality to create a more adaptive, accurate, and engaging system. The use of neural networks and artificial intelligence to predict and adjust movement settings, as well as the integration with wearable devices and virtual reality platforms, represents a significant departure from the original patent's limitations.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of other AI algorithms, such as deep learning or reinforcement learning, to optimize force measurement assembly movement settings. Additionally, the system could be adapted for use in various industries, such as sports, healthcare, or education, to provide a more tailored and effective testing and training experience.
Potential Commercial Applications and Market
The new inventive concept has significant commercial potential in various industries, including sports, healthcare, and education, where accurate and engaging testing and training systems are critical. The system's adaptability, accuracy, and immersive experience make it an attractive solution for organizations seeking to improve performance and engagement.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biomechanical measurement systems, force analysis technologies, and human performance testing instrumentation, requiring expertise in mechanical engineering, sensor design, and data acquisition systems
Person of Ordinary Skill (PHOSITA) Profile
A mechanical engineer with advanced degree and 3-5 years experience in force measurement, sensor integration, and performance testing technologies, familiar with adaptive sensing systems and human-machine interaction interfaces
Obviousness Rationale
A PHOSITA would recognize that integrating artificial intelligence and machine learning into force measurement systems represents a natural evolutionary progression of existing sensor technologies. The source patent's foundational force measurement framework provides a clear technical pathway for implementing predictive and adaptive measurement strategies. The disclosed variations represent incremental improvements using well-established computational techniques that would be readily apparent to a skilled practitioner seeking to enhance measurement precision and user engagement.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,331 |
|---|---|
| Title | Force measurement system |
| Assignee(s) | Bertec Corporation |