Asma’ak: An Emarati Sign Language Translator

Document Type

Conference Proceeding

Source of Publication

2023 14th International Conference on Information and Communication Technology Convergence (ICTC)

Publication Date

10-13-2023

Abstract

This research highlights the challenges faced by individuals who are deaf in communicating with those who do not understand sign language. Artificial Intelligence (AI) has emerged as a promising solution to this problem, with deep learning enabling machines to process sequences of data and accurately recognize sign language gestures. The Asma'ak sign language recognition system was developed to detect Emirati Sign Language hand gestures and instantly translate them into text, thus promoting greater inclusivity and engagement within society. The system's reliability and validity are demonstrated through testing on various operating systems, genders, and age groups, achieving a high level of accuracy and precision. Overall, Asma’ak holds significant potential for improving communication and breaking down linguistic barriers for individuals with hearing impairments.

ISBN

979-8-3503-1327-7

Publisher

IEEE

Volume

00

First Page

48

Last Page

52

Disciplines

Computer Sciences | Linguistics

Keywords

AI, Deep learning, Sign language recognition, Inclusivity, Linguistic barriers

Indexed in Scopus

no

Open Access

no

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