This study addresses the accessibility challenges faced by individuals with visual impairments due to limited access to graphic information, which significantly impacts their educational and social integration. Traditional methods for producing tactile graphics are labor-intensive and require specialized expertise, limiting their availability. Recent advancements in generative models, such as GANs, diffusion models, and VAEs, offer potential solutions to automate the creation of tactile images. In this work, we propose a novel generative model conditioned on text prompts, integrating a Bidirectional and Auto-Regressive Transformer (BART) and Vector Quantized Variational Auto-Encoder (VQ-VAE). This model transforms textual descriptions into tactile graphics, addressing key requirements for legibility and accessibility. The model’s performance was evaluated using cross-entropy, perplexity, mean square error, and CLIP Score metrics, demonstrating its ability to generate high-quality, customizable tactile images. Testing with educational and rehabilitation institutions confirmed the practicality and efficiency of the system, which significantly reduces production time and requires minimal operator expertise. The proposed approach enhances the production of inclusive educational materials, enabling improved access to quality education and fostering greater independence for individuals with visual impairments. Future research will focus on expanding the training dataset and refining the model for complex scenarios.

Yehor Dzhurynskyi

Volodymyr Mayik

Lyudmyla Mayik

Computation

Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to:  bioinformatics  mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions  mathematical modeling of pathways and genetic interactions  neuroscience computation including neural modeling, brain theory and neural networks  computational chemistry, including, but not limited to:  new theories and methodology including their applications in molecular dynamics  computation of electronic structure  density functional theory  designing and characterization of materials with computation method  computation in engineering, including, but not limited to:  new theories, methodology and the application of computational fluid dynamics (CFD)  optimisation techniques and/or application of optimisation to multidisciplinary systems  system identification and reduced order modelling of engineering systems  parallel algorithms and high performance computing in engineering.

Computation is a journal dedicated to computational science and engineering. The main topics include computational biology, covering but not limited to bioinformatics, mathematical modeling, simulation, and prediction of nucleic acid (DNA/RNA) and protein sequences, modeling of pathways and genetic interactions; neuroscience computation, including neural modeling, brain theory, and neural networks; computational chemistry, encompassing new theories and methodologies, including their applications in molecular dynamics, electronic structure computation, density functional theory, and computational methods for designing and characterizing materials; and computation in engineering, which includes new theories, methodologies, and applications of computational fluid dynamics (CFD), optimization techniques and their applications to multidisciplinary systems, system identification, reduced-order modeling of engineering systems, and parallel algorithms and high-performance computing in engineering.

《Computation》是一本关于计算科学与工程的期刊。主要涉及的主题包括：计算生物学，涵盖但不限于生物信息学、核酸（DNA/RNA）和蛋白质序列的数学建模、模拟与预测、通路和基因相互作用的数学建模；神经科学计算，包括神经建模、大脑理论和神经网络；计算化学，涵盖但不限于新理论和方法论及其在分子动力学中的应用、电子结构计算、密度泛函理论、材料设计与表征的计算方法；工程计算，包括但不限于新理论、方法论及计算流体动力学（CFD）的应用、优化技术及其在多学科系统中的应用、工程系统的系统识别和降阶建模、工程中的并行算法和高性能计算。

Enhancing Accessibility: Automated Tactile Graphics Generation for Individuals with Visual Impairments

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Journal Info

Category	Quartile
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	2