Empowering Nonverbal Communication: A Comprehensive Examination of Sign Language Recognition Systems and Implementation of Interpretation

Abstract

This paper provides a analysis of previous research on sign language recognition systems and their impact on Providing meaningful interaction among non-verbal individuals. It introduces a real-time sign language interpreter that translates text into gestures and vice-versa, accommodating regional sign languages and promoting personal expression. In a manner distinct from previous systems, it emphasizes individualization and includes text chat features for seamless communication. By enabling users to create and share their own gestures, it Promotes cultural diversity and authentic self-expression, promoting inclusivity and empowerment within the non-verbal community. This innovative solution also alleviates the pressure on non-verbal communication users to perform gestures in front of a camera for accurate recognition, addressing issues with outdated sign languages and the lack of personal sign gestures. Key Word: Sign Language Recognition, Text-to-sign Translation, Sign Language Interpreter, Sign Language Evolution, Recognition Models, Recognition Techniques.