Advanced Matter Differentiation System for Wearable Devices
Legal Citation
Summary of the Inventive Concept
An enhanced wearable device system capable of accurately detecting and differentiating between human tissue and non-human matter, utilizing advanced sensor arrays, machine learning algorithms, and optimized system design.
Background and Problem Solved
The original patent's wearable device, comprising a housing, wrist band, and emitters, was limited by its inability to effectively distinguish between human tissue and non-human matter. This new inventive concept addresses this limitation by introducing a multi-spectral sensor array, optimized system design, and machine learning algorithms to improve matter differentiation and enhance user safety.
Detailed Description of the Inventive Concept
The advanced matter differentiation system integrates a multi-spectral sensor array into the wrist band, emitting electromagnetic radiation of multiple wavelengths to detect reflected radiation. The system processes the reflected radiation to determine human tissue reflectance factors and non-human matter reflectance factors. A machine learning model, trained on a dataset of reflected electromagnetic radiation patterns, classifies the detected matter. The system's optimized design features a curved surface on the housing, reducing interference from the surrounding environment. Additionally, a warning system alerts the user when non-human matter poses a potential safety risk.
Novelty and Inventive Step
The new claims introduce the use of a multi-spectral sensor array, machine learning algorithms, and optimized system design, which are not present in the original patent. These advancements enable accurate matter differentiation and enhance user safety, providing a significant improvement over the existing technology.
Alternative Embodiments and Variations
Alternative embodiments may include varying the sensor array configuration, using different machine learning algorithms, or incorporating additional sensors to further enhance matter differentiation. Variations could also include integrating the system into different types of wearable devices, such as smartwatches or fitness trackers.
Potential Commercial Applications and Market
The advanced matter differentiation system has significant commercial potential in the wearable technology industry, particularly in applications where user safety is a concern, such as in industrial or healthcare settings. The technology could also be integrated into consumer-facing devices, enhancing the overall user experience and providing a competitive advantage in the market.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Wearable electronic device sensor systems, specifically focused on electromagnetic radiation detection and tissue differentiation technologies, requiring expertise in optical sensing, signal processing, and electronic device design
Person of Ordinary Skill (PHOSITA) Profile
An electrical engineer or sensor systems specialist with advanced degree, experienced in designing wearable electronics, familiar with infrared spectroscopy, machine learning techniques, and sensor array optimization
Obviousness Rationale
A PHOSITA would recognize that the PTD's machine learning and multi-spectral sensor array approaches represent predictable extensions of the source patent's fundamental tissue detection methodology. The core infrared radiation detection principle remains consistent, with the PTD introducing incremental algorithmic and design improvements that would be considered routine optimization within the field. The variations demonstrate standard engineering problem-solving techniques applied to enhance the original sensor detection concept.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,298 |
|---|---|
| Title | Devices having matter differentiation detectors |
| Assignee(s) | Apple Inc. |