Synergistic Stress Determination and Management System

Publication ID: 24-11857323_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Stress Determination and Management System,” Published Technical Disclosure No. 24-11857323_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857323_0008_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

The inventive concept integrates a camera-based stress determination system with AI, IoT, blockchain, and other technologies to create a more powerful system for stress monitoring, analysis, and management.

Background and Problem Solved

The original patent, 'System and method for camera-based stress determination', provided a method for detecting human stress using camera-captured images. However, it lacked the capability to securely store and manage stress level indications, provide real-time stress monitoring and feedback, offer personalized stress management recommendations, predict future stress levels, and enable remote stress monitoring and analysis. The new inventive concept addresses these limitations by synergistically combining the camera-based stress determination system with distinct technologies.

Detailed Description of the Inventive Concept

The inventive concept consists of a camera module capturing an image sequence of a body part, a processing unit trained using an HC changes training set, and various modules integrating AI, IoT, blockchain, and cloud-based technologies. The system determines a set of bitplanes from the captured images and outputs a stress level indication. The blockchain-based storage module securely stores and manages the stress level indications, while the AI-powered recommendation engine provides personalized stress management recommendations. The IoT-based wearable device enables real-time stress monitoring and feedback, and the cloud-based analytics platform analyzes stress trends and patterns from multiple users.

Novelty and Inventive Step

The new claims introduce the novel combination of a camera-based stress determination system with AI, IoT, blockchain, and cloud-based technologies, providing a more comprehensive and powerful system for stress monitoring, analysis, and management. The inventive step lies in the synergistic integration of these distinct technologies to create a system that is more than the sum of its individual components.

Alternative Embodiments and Variations

Alternative embodiments may include using different machine learning algorithms, incorporating additional sensors or wearable devices, or integrating the system with existing healthcare infrastructure. Variations may include using the system for stress monitoring in specific industries, such as aviation or healthcare, or developing a mobile application for individual stress management.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in various industries, including healthcare, wellness, and human resources. The system can be marketed as a comprehensive stress management solution for individuals, organizations, and healthcare providers, offering a competitive advantage in the growing market for stress monitoring and management solutions.

Field of Art

Biomedical signal processing, computer vision, and machine learning for physiological stress detection, with expertise in image analysis, neural network architectures, and multi-modal health monitoring systems

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, computer science, or related fields, possessing expertise in machine learning, signal processing, and healthcare technology integration, familiar with neural network architectures and multi-sensor health monitoring techniques

Obviousness Rationale

A person having ordinary skill in the art would recognize that extending the camera-based stress determination system from the source patent to incorporate additional technologies like AI, blockchain, and IoT represents a predictable combination of known techniques in health monitoring and data management. The fundamental image processing and stress detection methodology remains consistent with the source patent, while the additional technological integrations provide incremental improvements in data handling, personalization, and analysis. These variations would be considered obvious extensions that leverage standard techniques in interconnected healthcare technologies.

Obvious Combinations & Variations

Source Patent Element
Camera-based image sequence processing for stress determination using trained neural network
PTD Variation
Integrating blockchain-based storage for secure management of stress level indications
Obviousness Reasoning
Blockchain technology is a known technique for secure data storage and management, representing a predictable application of existing cryptographic methods to medical data tracking
Source Patent Element
LSTM neural network for processing image bitplanes
PTD Variation
AI-powered recommendation engine generating personalized stress management suggestions
Obviousness Reasoning
Machine learning recommendation systems are well-established in healthcare, representing a standard approach to converting diagnostic data into actionable insights
Source Patent Element
Image sequence processing for stress determination
PTD Variation
Cloud-based analytics platform for analyzing stress trends across multiple users
Obviousness Reasoning
Aggregating and analyzing distributed health data through cloud platforms is a standard technique in modern health informatics, providing predictable scalability and insights
Source Patent Element
Trained processing unit using HC changes training set
PTD Variation
IoT-based wearable device integration for real-time stress monitoring and feedback
Obviousness Reasoning
Extending physiological monitoring to wearable devices represents a known and predictable technological progression in health tracking systems
Source Patent Element
Camera-based image sequence processing
PTD Variation
Machine learning algorithm for predicting future stress levels using historical data
Obviousness Reasoning
Predictive modeling using machine learning is a standard technique in health analytics, representing a straightforward extension of existing stress detection methodologies
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 innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the integration of camera-based stress determination with blockchain, AI, IoT, and cloud technologies represents a predictable combination of known techniques that would be apparent to a skilled practitioner in the field of health monitoring and data processing technologies.

Original Patent Information

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