Adaptive Camera-Based Stress Determination Systems for Specialized Environments

Publication ID: 24-11857323_0009_PTD
Published: November 07, 2025
Category:Specialized Variations & Niche Solutions

Legal Citation

pr1or.art Inc., “Adaptive Camera-Based Stress Determination Systems for Specialized Environments,” Published Technical Disclosure No. 24-11857323_0009_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0009_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 discloses specialized camera-based stress determination systems tailored for high-security, disaster relief, extreme weather, high-altitude, and remote, isolated environments. These adaptations enable accurate stress detection in unique operational settings.

Background and Problem Solved

The original patent for camera-based stress determination provides a foundation for detecting human stress. However, it lacks specificity for scenarios that require tailored solutions, such as high-security areas, disaster relief efforts, or extreme weather conditions. This inventive concept addresses these limitations by adapting the camera-based stress determination system to meet the unique demands of these specialized environments.

Detailed Description of the Inventive Concept

The inventive concept encompasses five distinct systems and methods, each designed for a specific niche environment. For high-security environments, the system utilizes a dataset of images captured in similar settings to train the processing unit. In disaster relief scenarios, the method involves processing image sequences captured in disaster-stricken areas to determine stress levels. The system for extreme weather conditions features a weather-resistant camera module and a processing unit adapted to changing weather conditions. The high-altitude environment method involves training the processing unit using a dataset of images captured at high altitudes. Finally, the system for remote, isolated areas incorporates a satellite-connected camera module and a low-power processing unit for data transmission via satellite link. Each adaptation enables accurate stress detection in its respective environment.

Novelty and Inventive Step

The novelty of this inventive concept lies in its tailored approach to camera-based stress determination for specific, niche environments. The inventive step is the adaptation of the processing unit and camera module to address the unique challenges of each environment, ensuring accurate stress detection in scenarios not previously addressed.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different neural network architectures, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs), to process image sequences. Variations may also involve integrating additional sensors, such as heart rate or skin conductance sensors, to enhance the accuracy of stress detection.

Potential Commercial Applications and Market

This inventive concept has significant commercial potential in industries such as security, disaster relief, aerospace, and remote healthcare. The adapted systems and methods can provide valuable insights into human stress levels in unique operational environments, enabling targeted interventions and improved well-being.

Field of Art

Biomedical signal processing, computer vision, machine learning, with a focus on physiological stress detection using image analysis techniques

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in neural networks, image processing, machine learning, and physiological signal analysis, holding at least a master's degree in electrical engineering, computer science, or biomedical engineering, with 3-5 years of experience in developing adaptive machine learning systems for medical and psychological monitoring

Obviousness Rationale

A person having ordinary skill in the art would recognize that the source patent's camera-based stress determination method provides a fundamental framework that can be readily adapted to specialized environments by modifying the training dataset and processing unit configuration. The core technical approach of using bitplane analysis and neural network processing remains consistent across the PTD's variations, with the primary innovation being contextual training data and environmental adaptations. These modifications represent predictable extensions of the original patent's core technological concept.

Obvious Combinations & Variations

Source Patent Element
Trained processing unit using LSTM neural network to analyze image sequences
PTD Variation
Adapting neural network training to specific environmental datasets (high-security, disaster relief, extreme weather)
Obviousness Reasoning
Modifying training data is a standard machine learning technique for domain-specific adaptation, representing a predictable design choice for a skilled practitioner
Source Patent Element
Bitplane analysis across red, green, and blue color channels
PTD Variation
Incorporating additional sensor data like heart rate or skin conductance to enhance stress detection accuracy
Obviousness Reasoning
Multimodal sensor fusion is a known technique for improving physiological signal processing, representing an obvious enhancement to the base method
Source Patent Element
Camera-based image sequence processing for stress determination
PTD Variation
Implementing specialized camera modules for different environmental conditions (weather-resistant, satellite-connected)
Obviousness Reasoning
Adapting hardware components for specific operational environments is a standard engineering approach with predictable implementation strategies
Source Patent Element
Neural network processing of image sequences
PTD Variation
Exploring alternative neural network architectures like CNNs and RNNs
Obviousness Reasoning
Selecting appropriate neural network architectures is a routine design choice for machine learning practitioners solving similar signal processing challenges
Source Patent Element
Method for determining stress levels through image analysis
PTD Variation
Tailoring stress detection systems for high-altitude, remote, and isolated environments
Obviousness Reasoning
Extending a general-purpose technological method to specific use cases represents a standard approach of technological generalization and specialization
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857323 and the disclosed variations, a person having ordinary skill in the art would find the claimed camera-based stress determination systems for specialized environments obvious and anticipated, as the fundamental technological approach remains consistent while representing predictable modifications to the original patent's core methodology.

Original Patent Information

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