Adaptive Earplug System with AI-Powered Noise Cancellation and Personalized Audio Enhancement
Legal Citation
Summary of the Inventive Concept
A next-generation earplug system that integrates AI-driven noise cancellation, real-time audio processing, and personalized audio enhancement, providing users with an unparalleled audio experience and superior noise reduction.
Background and Problem Solved
The original patent for earplug and pumping systems, while innovative, has limitations in terms of noise reduction and user experience. The newly generated claims address these limitations by envisioning a future where earplugs are equipped with AI-powered noise cancellation, real-time audio processing, and personalized audio enhancement, providing a more ambitious and forward-thinking solution.
Detailed Description of the Inventive Concept
The inventive concept comprises an earplug with an integrated AI-powered noise cancellation module, which utilizes real-time audio processing to optimize noise reduction based on the user's surroundings and preferences. The system also features a wearable sensor and machine learning algorithms to dynamically adjust the pressure of the inflatable element in response to changes in ambient noise levels. Additionally, the earplug device incorporates a self-sustaining power source, such as a miniature fuel cell or energy harvesting technology, enabling prolonged use without recharging. The system further includes a neural interface for real-time monitoring of brain activity, allowing for personalized noise reduction and audio enhancement based on the user's cognitive state. The modular design enables users to swap out interchangeable noise reduction modules, each optimized for specific environments or activities.
Novelty and Inventive Step
The new claims introduce several novel and non-obvious features, including the integration of AI-powered noise cancellation, real-time audio processing, and personalized audio enhancement, which significantly improve the noise reduction capabilities and user experience of the original earplug and pumping systems. The use of wearable sensors, machine learning algorithms, and self-sustaining power sources further distinguishes the inventive concept from the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different AI algorithms, varying sensor configurations, or alternative power sources. Additionally, the modular design could be adapted for use in various applications, such as hearing aids, headphones, or earbuds.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the hearing protection and audio enhancement industries, with potential applications in various fields, including construction, music, and healthcare. The market for advanced earplug systems is expected to grow significantly in the coming years, driven by increasing demand for improved noise reduction and personalized audio experiences.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61F11/10 |
| A | A61 | A61F11/00 |
| A | A61 | A61F11/08 |
| A | A61 | A61M25/10181 |
| H | H04 | H04R1/1083 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Acoustic and medical device engineering, specifically focused on hearing protection technologies, noise reduction systems, and wearable medical devices with emphasis on ear-related interventions
Person of Ordinary Skill (PHOSITA) Profile
A professional with advanced engineering or biomedical design background, possessing expertise in acoustics, materials science, sensor technologies, and medical device miniaturization, typically holding a master's or doctoral degree with 3-5 years of industry experience
Obviousness Rationale
A PHOSITA would recognize that integrating AI-powered noise cancellation and adaptive sensing technologies into existing earplug designs represents a predictable technological evolution. The source patent's foundational earplug technology provides a clear framework for implementing advanced signal processing and dynamic pressure modulation. The disclosed variations leverage known machine learning and sensor integration techniques that are readily applicable to existing noise reduction device architectures.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,396 |
|---|---|
| Title | Earplug and pumping systems |
| Assignee(s) | Staton Techiya LLC |