Asma’ak: An Emarati Sign Language Translator
Source of Publication
2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
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.
Computer Sciences | Linguistics
AI, Deep learning, Sign language recognition, Inclusivity, Linguistic barriers
Ahmed, Maha; Jasem, Shaikha; Saleh, Khawla; Khattak, Asad; and Alfandi, Omar, "Asma’ak: An Emarati Sign Language Translator" (2023). All Works. 6327.
Indexed in Scopus