Adaptive Camera-Based Stress Determination Systems for Specialized Environments
Legal Citation
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.
Section 103 Obviousness Analysis (PHOSITA)
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
Original Patent Information
| Patent Number | US 11,857,323 |
|---|---|
| Title | System and method for camera-based stress determination |
| Assignee(s) | NURALOGIX CORPORATION |