Enhanced Camera-Based Stress Determination Systems and Methods

Publication ID: 24-11857323_0006_PTD

Published: November 07, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Camera-Based Stress Determination Systems and Methods,” Published Technical Disclosure No. 24-11857323_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0006_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,323.

Summary of the Inventive Concept

An advanced system and method for camera-based stress determination, incorporating multi-spectral cameras, high-speed imaging, and machine learning algorithms to improve accuracy, efficiency, and personalization.

Background and Problem Solved

The original patent, 'System and method for camera-based stress determination', has limitations in terms of image capture quality, processing speed, and personalized stress profiling. The new inventive concept addresses these limitations by introducing advanced camera technologies and sophisticated machine learning algorithms to enhance the accuracy and efficiency of stress determination.

Detailed Description of the Inventive Concept

The enhanced system comprises a multi-spectral camera capable of capturing image sequences in multiple spectral bands, allowing for more accurate detection of stress-related physiological changes. The system also employs high-speed cameras to capture subtle changes in facial micro-expressions, and machine learning algorithms to identify personalized stress patterns and provide tailored stress management recommendations. Additionally, the system can be implemented in wearable devices, enabling real-time stress monitoring and feedback.

Novelty and Inventive Step

The new claims introduce novel elements such as multi-spectral camera imaging, high-speed facial micro-expression analysis, and personalized stress profiling using machine learning algorithms. These advancements provide a significant improvement over the original patent, enabling more accurate, efficient, and personalized stress determination.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different camera technologies, such as hyperspectral or infrared cameras, or the integration of additional sensors, such as heart rate or skin conductance sensors, to further enhance the accuracy of stress determination. Variations of the system could also be implemented in different form factors, such as smartphones or tablets, to increase accessibility and convenience.

Potential Commercial Applications and Market

The enhanced camera-based stress determination system has significant commercial potential in various industries, including healthcare, wellness, and human resources. The system could be marketed as a tool for personalized stress management, employee wellness programs, or as a component of telemedicine platforms. The market potential is substantial, with the global stress management market projected to grow significantly in the coming years.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical signal processing, computer vision, and machine learning for physiological state detection, with expertise in image analysis, neural network architectures, and stress monitoring technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in electrical engineering, computer science, or biomedical engineering, experienced in developing machine learning algorithms for physiological signal processing, familiar with neural network architectures and multi-spectral imaging techniques

Obviousness Rationale

A person having ordinary skill would recognize that extending the source patent's camera-based stress detection method to include multi-spectral imaging, high-speed cameras, and personalized machine learning approaches represents predictable variations within the existing technological framework. The core methodology of extracting physiological stress indicators from image sequences remains fundamentally consistent, with the PTD introducing incremental improvements in sensing modalities and processing techniques. These variations would be considered obvious improvements that leverage known techniques in computer vision and machine learning to enhance the original stress detection approach.

Obvious Combinations & Variations

Source Patent Element

Camera-based image sequence processing using trained neural network (LSTM)

PTD Variation

Extending to multi-spectral camera imaging and convolutional neural networks for stress detection

Obviousness Reasoning

Predictable evolution of neural network architectures and sensing technologies, representing a known technique for improving signal processing accuracy

Source Patent Element

Bitplane analysis in RGB channels

PTD Variation

High-speed imaging at 100+ frames per second to capture micro-expressions

Obviousness Reasoning

Logical extension of existing image processing techniques to capture more granular physiological signals, representing a finite identified solution for improving stress detection

Source Patent Element

Processing image sequences to determine stress levels

PTD Variation

Personalized stress profiling using machine learning algorithms

Obviousness Reasoning

Obvious design choice to implement adaptive learning techniques for individualized physiological signal interpretation

Source Patent Element

Camera-based stress determination system

PTD Variation

Wearable implementation with real-time feedback mechanisms

Obviousness Reasoning

Predictable technological progression of integrating stress monitoring into portable form factors, representing a known approach in biomedical monitoring technologies

Source Patent Element

Image-based physiological signal processing

PTD Variation

Integration of additional sensor modalities like infrared or hyperspectral imaging

Obviousness Reasoning

Obvious combination of known sensing technologies to enhance signal detection capabilities, representing a standard engineering approach to system optimization

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed in the Published Technical Disclosure render obvious the claimed subject matter of US Patent 11857323, as a person having ordinary skill in the art would find the technical extensions predictable and within the existing technological capabilities of camera-based stress detection systems. The incremental improvements in multi-spectral imaging, machine learning algorithms, and sensing modalities represent obvious variations that do not rise to the level of non-obvious innovation.

Original Patent Information

Patent Number	US 11,857,323
Title	System and method for camera-based stress determination
Assignee(s)	NURALOGIX CORPORATION