Expanding Camera-Based Stress Determination to New Industries

Publication ID: 24-11857323_0002_PTD

Published: November 07, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Expanding Camera-Based Stress Determination to New Industries,” Published Technical Disclosure No. 24-11857323_0002_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0002_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

This inventive concept leverages the core technology of camera-based stress determination to tackle stress-related challenges in diverse industries, including sports, virtual reality, transportation, remote work, and healthcare.

Background and Problem Solved

The original patent, 'System and method for camera-based stress determination,' demonstrated the feasibility of detecting human stress through camera-based image analysis. However, its applications were limited to general human stress detection. This inventive concept addresses the need to expand the technology's scope to tackle stress-related issues in various industries, where stress can have significant consequences on performance, safety, and well-being.

Detailed Description of the Inventive Concept

The new claims introduce novel applications of camera-based stress determination, including: (1) detecting fatigue in athletes to optimize training and performance; (2) monitoring stress levels in virtual reality environments to enhance user experience; (3) alerting drivers of elevated stress levels to prevent accidents; (4) assessing stress in remote workers to improve productivity and well-being; and (5) diagnosing mental health disorders in patients. These applications involve adapting the core technology to accommodate specific industry requirements, such as integrating with athlete monitoring systems, virtual reality platforms, or vehicle safety systems.

Novelty and Inventive Step

The new claims provide a non-obvious expansion of the original patent's scope, as they apply the core technology to distinct industries and problem domains. The inventive step lies in recognizing the potential for camera-based stress determination to address specific pain points in these industries and developing tailored solutions to tackle these challenges.

Alternative Embodiments and Variations

Alternative embodiments of this inventive concept could include using different camera types, such as thermal or hyperspectral cameras, or integrating the technology with wearable devices or mobile apps. Variations may also involve applying the technology to other industries, such as education or customer service, where stress can impact performance and well-being.

Potential Commercial Applications and Market

The expanded applications of camera-based stress determination have significant commercial potential across various industries. The sports industry can benefit from optimized athlete training and performance; the virtual reality industry can enhance user experience and safety; the transportation industry can reduce accidents and improve driver safety; the remote work industry can boost productivity and employee well-being; and the healthcare industry can improve mental health diagnosis and treatment. The target market for these applications is substantial, with potential customers including sports teams, virtual reality platform providers, vehicle manufacturers, remote work companies, and healthcare organizations.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical signal processing, computer vision, and machine learning, with expertise in physiological stress detection using image analysis techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in computer science or biomedical engineering, proficient in neural network architectures, image processing, and physiological signal extraction, with experience in developing machine learning models for health monitoring applications

Obviousness Rationale

A person of ordinary skill would recognize the fundamental camera-based stress determination technology as a versatile platform that could be readily adapted to multiple domain-specific applications. The core neural network processing method disclosed in the source patent provides a generalizable framework for extracting stress indicators from image sequences, which can be straightforwardly applied across different contexts by modifying input parameters and training datasets. The technical principles of bitplane analysis, LSTM neural networks, and hemodynamic change detection are sufficiently robust to be extended to diverse monitoring scenarios with predictable results.

Obvious Combinations & Variations

Source Patent Element

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

PTD Variation

Applying the stress detection method to athlete performance monitoring

Obviousness Reasoning

Extending the stress detection algorithm to athletic contexts represents a predictable variation using known machine learning techniques, with fatigue being a closely related physiological state that can be detected using similar image processing approaches

Source Patent Element

Bitplane analysis across red, green, and blue color channels

PTD Variation

Adapting color channel analysis to virtual reality user stress monitoring

Obviousness Reasoning

The fundamental image processing technique remains unchanged, with only the contextual application shifting, which would be an obvious design choice for a skilled practitioner seeking to apply the core technology to new domains

Source Patent Element

Neural network trained on hemodynamic change indicators

PTD Variation

Modifying training dataset to detect mental health disorder indicators

Obviousness Reasoning

A PHOSITA would recognize that retraining the neural network with a different target dataset represents a standard machine learning approach for adapting a generalized stress detection framework to specific diagnostic requirements

Source Patent Element

Camera-based physiological signal extraction method

PTD Variation

Integrating stress detection into driver safety monitoring systems

Obviousness Reasoning

Applying the stress determination technology to transportation safety represents a logical and predictable extension of the core image processing technique, utilizing the same fundamental signal extraction principles

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent straightforward adaptations of the core technological framework disclosed in US Patent 11857323, involving predictable applications of established image processing and machine learning techniques across multiple domains without requiring inventive complexity.

Original Patent Information

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