AI Saudi Sign Language Communication System

Affiliated Research Center:

JRC for Artificial Intelligence SDAIA-KFUPM

Key Researcher

Dr. Maad Alowaifeer

College of Engineering and Physics

Department of Electrical Engineering

KFUPM is redefining innovation through research that makes a difference. Among its initiatives is a collaborative effort with the Saudi Data and Artificial Intelligence Authority (SDAIA) to develop an AI-powered Saudi Sign Language Communication System. Led by Dr. Maad Alowaifeer and a multidisciplinary team from the Joint Research Center for Artificial Intelligence, this initiative aims to address communication barriers for the hearing-impaired community in Saudi Arabia.

With over 700,000 hearing-impaired individuals in Saudi Arabia and only around 100 sign-language interpreters, the need for accessible communication solutions is urgent. The AI system leverages advanced techniques like hand tracking, facial expression analysis, and gesture recognition, focusing initially on Saudi Sign Language. These advancements not only address local needs but also pave the way for global applications, promoting inclusivity and accessibility for diverse communities.

This groundbreaking project goes beyond technology, aiming to create meaningful change in education, healthcare, and employment opportunities for the hearing-impaired community. By reducing barriers, it empowers individuals and fosters cross-cultural understanding. The AI model has already achieved promising results, with reduced translation errors compared to current state-of-the-art models, making it a significant step forward in AI applications that shape a better and inclusive future for all.

 

United Nations SDGs

Through our commitment to sustainable development, this project aligns with the following United Nations Sustainable Development Goals (SDGs):