Enhanced Method and System for Characterizing the Visual System of a Subject

Publication ID: 24-11857254_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Method and System for Characterizing the Visual System of a Subject,” Published Technical Disclosure No. 24-11857254_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857254_0006_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. 11,857,254.

Summary of the Inventive Concept

An improved method and system for characterizing the visual system of a subject, enhancing the accuracy, efficiency, and safety of visual system characterization by incorporating advanced visual test modules, luminance and frequency adjustment, response model generation, and machine learning-based internal noise source prediction.

Background and Problem Solved

The original patent disclosed a method and system for characterizing the visual system of a subject using measures of sensitivity to contrast. However, the existing method has limitations in terms of accuracy, efficiency, and safety. The new inventive concept addresses these limitations by introducing direct improvements and enhancements to the original method, providing a more comprehensive and efficient characterization of the visual system.

Detailed Description of the Inventive Concept

The enhanced method and system comprise a visual test module for measuring sensitivity to contrast, a luminance and frequency adjustment module for optimizing the visual test, and a response model generator for determining the internal noise sources predominantly limiting the sensitivity to contrast. The system can also include a wearable device for administering the visual test, a data analytics module for processing the results, and a report generator for providing a comprehensive characterization of the visual system. The method can involve performing a visual test at multiple luminance levels and spatial frequencies, analyzing the results to identify the most limiting internal noise source, and using a machine learning algorithm to predict the internal noise sources limiting the sensitivity to contrast, thereby optimizing the visual test.

Novelty and Inventive Step

The new inventive concept introduces several novel and non-obvious features, including the incorporation of advanced visual test modules, luminance and frequency adjustment, response model generation, and machine learning-based internal noise source prediction. These features provide a significant improvement over the original patent, enabling a more accurate, efficient, and safe characterization of the visual system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the visual test module, such as using different types of visual stimuli or incorporating additional sensory modalities. The luminance and frequency adjustment module could also be modified to accommodate different testing environments or subject populations. Furthermore, the response model generator could be adapted to incorporate additional data sources or analytical techniques.

Potential Commercial Applications and Market

The enhanced method and system for characterizing the visual system of a subject have significant commercial potential in the fields of ophthalmology, optometry, and vision science. The improved accuracy, efficiency, and safety of the system could lead to widespread adoption in clinical and research settings, enabling better diagnosis and treatment of visual disorders.

CPC Classifications

SectionClassGroup
A A61 A61B3/0025
A A61 A61B3/0041
A A61 A61B3/022
A A61 A61B3/032
A A61 A61B3/066
G G16 G16H30/40
G G16 G16H50/30

Original Patent Information

Patent NumberUS 11,857,254
TitleMethod and system for characterizing the visual system of a subject
Assignee(s)Essilor International, SORBONNE UNIVERSITE