A Comprehensive Review of Assistive Reading Technologies for the Visually Impaired

Abstract

This review paper explores recent assistive technology advancements to improve visually impaired individuals' reading capabilities. It focuses on innovations such as smartphone applications and Raspberry Pi-based devices that convert printed text into speech and Braille. The synthesis of findings from various studies highlights the significance of user-centered design in enhancing accessibility and usability. These technologies promote visually impaired users' independence, literacy, and social participation. The paper also discusses the integration of artificial intelligence and machine learning to improve the functionality of these devices, facilitating personalized user experiences through adaptive learning.

Furthermore, it identifies future research directions necessary for enhancing the effectiveness and reach of assistive devices. By emphasizing the importance of continued innovation in this field, the review aims to contribute to a more inclusive society where visually impaired individuals can fully engage with written content and enjoy the benefits of literacy. Ultimately, this research underscores the potential for technology to enhance the quality of life for visually impaired individuals by providing them with essential tools for independent reading.