Advanced Camera-Based Stress Determination and Mitigation System

Publication ID: 24-11857323_0005_PTD

Published: November 07, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Camera-Based Stress Determination and Mitigation System,” Published Technical Disclosure No. 24-11857323_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0005_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 innovative system for real-time stress detection and personalized mitigation using advanced camera-based technologies, machine learning, and multimodal sensing.

Background and Problem Solved

The original patent for camera-based stress determination has limitations in terms of accuracy, real-time processing, and personalized feedback. The new inventive concept addresses these limitations by integrating advanced camera modules, neural networks, and multimodal sensing to provide more accurate stress detection and personalized mitigation strategies.

Detailed Description of the Inventive Concept

The advanced system consists of a wearable camera module that captures facial expressions, a neural network module that analyzes the captured data to detect stress indicators, and a feedback module that provides personalized stress-reduction recommendations to the user. The system can also be integrated with multimodal sensing, including audio and physiological signals, to enhance accuracy. Additionally, the system can utilize deep learning models to predict stress levels based on facial expressions. The system's real-time processing capabilities enable timely interventions and personalized mitigation strategies, improving overall well-being.

Novelty and Inventive Step

The new claims introduce novel aspects, including the use of wearable cameras, real-time processing, multimodal sensing, and personalized mitigation strategies, which are not present in the original patent. The inventive step lies in the integration of these advanced technologies to provide a more accurate and effective stress detection and mitigation system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different camera modules, such as smartphone cameras or virtual reality headsets, or the integration of additional sensing modalities, such as EEG or skin conductance. Variations could also include the use of different machine learning algorithms or the development of specialized stress mitigation modules for specific industries, such as healthcare or finance.

Potential Commercial Applications and Market

The advanced camera-based stress determination and mitigation system has significant commercial potential in various industries, including healthcare, finance, and education. The system could be marketed as a wearable device, a smartphone app, or a virtual reality platform, providing a competitive edge in the growing market for stress management and wellness solutions.

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 neural network architectures, image analysis, 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 models for physiological signal processing, familiar with neural network architectures like LSTM, and knowledgeable about computer vision techniques for human state detection

Obviousness Rationale

A person having ordinary skill would recognize that extending the camera-based stress detection method from the source patent to include additional sensing modalities, real-time processing, and personalized feedback represents a predictable variation using known techniques in machine learning and physiological monitoring. The core technical approach of using image-based stress detection remains consistent, with the PTD introducing incremental improvements that would be apparent to a skilled practitioner familiar with multimodal sensing and adaptive machine learning systems.

Obvious Combinations & Variations

Source Patent Element

Camera-based image sequence processing using LSTM neural network for stress determination

PTD Variation

Expanding to multimodal sensing with additional input sources like audio and physiological signals

Obviousness Reasoning

Integrating multiple sensor inputs is a known technique for improving machine learning model accuracy, and a PHOSITA would recognize the predictable benefit of combining complementary data sources to enhance stress detection performance

Source Patent Element

Bitplane processing in RGB color channels for stress indicator extraction

PTD Variation

Using deep learning models to predict stress levels from facial expression datasets

Obviousness Reasoning

Applying advanced machine learning techniques to improve feature extraction is a standard approach in computer vision, and a PHOSITA would find it obvious to replace traditional bitplane analysis with more sophisticated deep learning models

Source Patent Element

Camera-based method for capturing human physiological stress indicators

PTD Variation

Implementing real-time processing and personalized feedback mechanisms

Obviousness Reasoning

Adding real-time analysis and user-specific recommendations represents a straightforward design choice that would be obvious to a skilled practitioner seeking to improve the practical utility of stress detection systems

Source Patent Element

Trained processing unit using electrocardiograph measurements as training targets

PTD Variation

Incorporating transcranial magnetic stimulation as a stress mitigation technique

Obviousness Reasoning

Extending stress detection systems to include therapeutic interventions is a predictable evolution in medical monitoring technologies, leveraging known approaches for physiological state management

Source Patent Element

Image-based stress determination using neural network processing

PTD Variation

Adapting the system to work with different camera platforms like smartphones or wearable devices

Obviousness Reasoning

Generalizing a technical solution to work across different hardware platforms is a standard engineering approach, and a PHOSITA would find it obvious to modify the stress detection system for various camera technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857323 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious, as they represent predictable extensions of existing camera-based stress detection technologies through standard engineering techniques of multimodal sensing, machine learning optimization, and adaptive system design. The disclosed variations fail to demonstrate an inventive step beyond the ordinary capabilities of a skilled practitioner in the field of physiological monitoring and machine learning.

Original Patent Information

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