Digital Color Vision Test System Using Interactive RGB Matrix
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Solution Overview
Problem
Traditional color vision tests are limited in accessibility, provide inadequate diagnosis, and fail to assess color vision deficiencies comprehensively, especially in digital contexts, lacking customization and nuanced understanding of color vision capabilities across the entire spectrum.
Innovation Solution
A computer-implemented color vision test system using a mobile application and website with an interactive RGB color matrix that records and compares color values to provide detailed assessments, employing machine learning and statistical models for personalized results, accessible on digital devices without physical books.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional physical color vision test books are used, then the test can be conducted in clinical settings, but accessibility is limited and convenience is reduced
Solution Approach 1:
The patent replaces physical test books with digital copies displayed on electronic devices. The color vision test is reproduced as software applications or websites that display color matrices on screens, eliminating the need for physical books while maintaining the test functionality. This allows users to access the test anywhere with a digital device, dramatically improving accessibility.
Solution Approach 2:
The patent substitutes the mechanical system of physical test books with a digital/electronic system. Instead of using printed materials and manual administration, the test is delivered through software applications or websites that can be accessed on smartphones, tablets, or computers. This replacement eliminates physical equipment requirements and enables remote testing.
2Loss of information
If conventional color vision tests are used, then the test structure is simple, but the diagnosis is limited and does not provide detailed information about color vision capabilities
Solution Approach 1:
The patent segments the color vision assessment into multiple distinct components: red-green color vision testing, blue-yellow color vision testing, and monochromacy testing. Each segment evaluates specific aspects of color vision independently. Additionally, the system records multiple parameters for each test including RGB values, HSV values, HSL values, and response times, providing granular detailed information about color vision capabilities across different dimensions.
Solution Approach 2:
The patent adds multiple dimensions to the color vision assessment by measuring not just color matching accuracy but also response times, color discrimination thresholds, and performance across different color spectrums. This multi-dimensional approach transforms the simple binary diagnosis of traditional tests into a comprehensive profile of color vision capabilities.
3Adaptability or versatility
If traditional color vision tests are used, then the testing method is established, but customization to individual patients is not effective
Solution Approach 1:
The patent implements dynamic customization where the test parameters, color matrices, and assessment criteria can be adjusted based on individual patient needs, age, and specific concerns. The system adapts the difficulty level, color ranges, and number of trials according to the user's responses and demographic information, making the test effectively personalized for each patient while maintaining scientific validity.
Data Source
AI summary
A digital color vision deficiency testing system is disclosed. The system includes an application for providing a plurality of user interfaces for performing color vision testing. A user interface provides, for example, a color matrix having a central color matrix, including a plurality of color combinations, an inner matrix, and an outer matrix. For testing, a user selects a color and, for example selects an interactive marker (i.e., finger, stylus, or mouse) across the central color matrix to dynamically change the color of the inner matrix to match with the color of the outer matrix, wherein the RGB, RGBA, HEX, HSV, HSL, YUV/YCBCR, CIELAB, HSLA, and/or CMYK values are recorded when the user lifts the marker or clicks the mouse (i.e., stops movement). A plurality of iterations is performed and then, the recorded values are compared with stored threshold values for providing an accuracy result to indicate color vision deficiency.