Next-Generation Camera-Based Stress Determination System

Publication ID: 24-11857323_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Camera-Based Stress Determination System,” Published Technical Disclosure No. 24-11857323_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0010_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

A futuristic system for camera-based stress determination, leveraging advanced neural networks and multi-spectral imaging to provide personalized stress profiling, real-time stress monitoring, and stress-informed mental health diagnosis.

Background and Problem Solved

The original patent's camera-based stress determination method, while innovative, has limitations in terms of accuracy, granularity, and applicability. The new inventive concept addresses these limitations by introducing a hybrid neural network, hierarchical attention mechanism, and multi-spectral imaging, enabling more accurate and personalized stress detection, as well as stress-based behavioral analysis and mental health diagnosis.

Detailed Description of the Inventive Concept

The next-generation system comprises a multi-spectral camera capturing image sequences of a human individual, which are then processed using a hybrid neural network incorporating both convolutional and recurrent layers to determine a set of physiological stress indicators. The system also includes a wearable device for real-time stress monitoring, utilizing a miniaturized camera and a processing unit implementing a stress detection algorithm with a hierarchical attention mechanism. Additionally, the system enables personalized stress profiling, stress-based behavioral analysis, and stress-informed mental health diagnosis through advanced neural networks and data analytics.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in camera-based stress determination by incorporating advanced neural networks, multi-spectral imaging, and hierarchical attention mechanisms, which provide a significant improvement in accuracy, granularity, and applicability compared to the original patent. The inventive step lies in the combination of these technologies to enable personalized stress profiling, real-time stress monitoring, and stress-informed mental health diagnosis.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different neural network architectures, such as graph neural networks or transformers, or the integration of additional sensors, such as EEG or ECG, to provide a more comprehensive stress detection system. Variations of the system could also be designed for specific industries, such as healthcare, education, or finance, to provide tailored stress management solutions.

Potential Commercial Applications and Market

The next-generation camera-based stress determination system has significant commercial potential in various industries, including healthcare, wellness, education, and finance. The system could be marketed as a wearable device, a software platform, or a comprehensive stress management solution, providing a new standard for stress detection and management.

Field of Art

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

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in electrical engineering, computer science, or biomedical engineering, possessing expertise in neural networks, signal processing, and machine learning techniques for physiological analysis

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's variations represent predictable extensions of the source patent's camera-based stress determination method, leveraging known machine learning techniques and sensor integration to enhance stress detection capabilities through incremental technological improvements.

Obvious Combinations & Variations

Source Patent Element
LSTM neural network for processing image sequences to determine stress indicators
PTD Variation
Hybrid neural network incorporating convolutional and recurrent layers with hierarchical attention mechanism
Obviousness Reasoning
Combining neural network architectures is a standard design optimization technique, and a PHOSITA would find it obvious to enhance stress detection by integrating complementary neural network approaches for improved feature extraction
Source Patent Element
Camera-based image sequence processing for stress determination
PTD Variation
Multi-spectral camera capturing advanced image sequences with personalized stress profiling
Obviousness Reasoning
Expanding imaging capabilities and adding personalization is a predictable improvement that would be obvious to a skilled practitioner seeking more granular and precise stress detection methods
Source Patent Element
Processing of bitplanes in RGB channels for stress analysis
PTD Variation
Advanced processing using graph neural networks and additional sensor integration (EEG, ECG)
Obviousness Reasoning
Incorporating multiple sensor modalities and advanced neural network architectures represents a logical extension of existing stress detection techniques, motivated by the desire to improve diagnostic accuracy
Source Patent Element
Camera-based method for capturing physiological stress indicators
PTD Variation
Wearable device with miniaturized camera and real-time stress monitoring capabilities
Obviousness Reasoning
Miniaturization and continuous monitoring are predictable technological progressions that a PHOSITA would find obvious when seeking to make stress detection more accessible and user-friendly
Source Patent Element
Trained processing unit for stress determination
PTD Variation
Stress-based behavioral analysis system with pattern recognition and personalized recommendations
Obviousness Reasoning
Extending machine learning techniques to provide behavioral insights is a natural progression that would be obvious to a skilled practitioner seeking to add value to stress detection technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857323 and the disclosed variations, a person of ordinary skill in the art would find the claimed innovations obvious, as they represent predictable technological extensions employing known machine learning techniques, sensor integration methods, and neural network architectures to enhance camera-based stress determination systems.

Original Patent Information

Patent NumberUS 11,857,323
TitleSystem and method for camera-based stress determination
Assignee(s)NURALOGIX CORPORATION