SignsWorld; Deeping Into the Silence World and Hearing Its Signs (State of the Art)
This work aims to improve communication for the deaf community by addressing language-specific challenges in sign language recognition, but it appears incremental as it builds on existing research.
The paper reviews recent advances in sign language recognition, focusing on Arabic sign language (ArSL), and introduces the SignsWorld framework to develop vision-based technology for recognizing and translating continuous ArSL.
Automatic speech processing systems are employed more and more often in real environments. Although the underlying speech technology is mostly language independent, differences between languages with respect to their structure and grammar have substantial effect on the recognition systems performance. In this paper, we present a review of the latest developments in the sign language recognition research in general and in the Arabic sign language (ArSL) in specific. This paper also presents a general framework for improving the deaf community communication with the hearing people that is called SignsWorld. The overall goal of the SignsWorld project is to develop a vision-based technology for recognizing and translating continuous Arabic sign language ArSL.