“Bridging the gap”: A SURVEY OF SIGN LANGUAGE INTERPRETATION TECHNOLOGIES

Abstract

Technology for interpreting sign language has great potential to connect deaf and hard-of- hearing individuals with the rest of the world by bridging communication barriers. This survey examines the current scene of these technologies, with a focus on interpreting both sign language to text/speech and speech to sign language. We evaluate the most advanced methods, such as computer vision, machine learning, and artificial intelligence algorithms. The survey assesses the pros and cons of current technologies, pinpointing main obstacles and possibilities for future progress. Moreover, the survey delves into user viewpoints and possible uses of these technologies in different areas. Through offering a detailed summary, this study seeks to steer upcoming research and development endeavours towards establishing stronger, more encompassing, and easily reachable sign interpretation resolutions.