Paper 13479-43
Paper 13479-43
Colorblind Accessibility Tool: A Mobile Solution for Improved Color Perception
16 April 2025 • 5:20 PM - 5:40 PM EDT
Abstract
Color Vision Deficiency (CVD) affects an individual’s ability to perceive colors accurately due to malfunctioning cone cells in the retina. The most common form is red-green CVD, yet it often receives limited attention. Color plays a vital role in daily life, making accurate perception essential for tasks like interpreting information and distinguishing objects. Current solutions, such as colored lenses, are often expensive and inaccessible.
To address these challenges, we introduce C.A.T. (Colorblind Accessibility Tool), a mobile application that utilizes the smartphone camera to identify colors and display their names on-screen. C.A.T. is designed not only for individuals with CVD but also for those with visual perception difficulties.
Rigorous testing showed that C.A.T. significantly improved color recognition accuracy, especially for red-green and blue-yellow CVD users, and increased user confidence in color-related tasks. C.A.T. represents an accessible and effective solution to enhance the quality of life for those with color vision impairments.
Presenter
Univ. Ana G. Méndez (United States)
Dr. Miguel A. Goenaga-Jiménez has over 15 years of experience as a teacher and more than 10 years of industry experience in the areas of automated controls and power systems for commercial and industrial air conditioning. He holds a Ph.D. in Computing and Information Science and Engineering, specializing in unsupervised remote sensing through satellite imagery using intelligent algorithms. He also has a master's degree in controls and signal processing applied to low and medium voltage circuits. Additionally, his bachelor's degree was in the area of power systems. In his teaching experience, he has worked with secondary level students as well as university students at the master's and doctoral levels, applying various learning techniques such as active and project-based learning. In his industry experience, he excels in the design of high voltage substations and the application of reliability-based maintenance techniques.