SIGN LANGUAGE RECOGNITION: BRIDGING COMMUNITIES

Sign language translation systems are crucial in bridging communication barriers between deaf and hearing communities. This paper provides a comprehensive overview of the state of sign language recognition systems, emphasizing trends, challenges, and future directions. Sign languages, recognized in multiple countries, serve as a bridge between deaf and hearing communities. Mature sign languages, with defined grammar, facilitate collaborative efforts among computer scientists, linguists, educators, and the deaf community. The paper categorizes sign language translation technologies into accessibility, human-computer interaction, natural language processing, and education. Mobile applications and industry innovations are explored, addressing e-learning and real-time communication challenges. The systematic literature review analyzes recognition systems for American, Russian, Indian, Arabic, and Chinese Sign Languages, revealing prevalent trends and methodologies. The study concludes by highlighting advancements, persisting challenges, and proposing future research directions.