Key points are not available for this paper at this time.
The research introduces a bidirectional sign language translation system to facilitate direct, real-time communication between the deaf and hearing communities. The system, accessible through a web platform, dynamically translates between English and American Sign Language (ASL), overcoming limitations in existing solutions. It employs machine learning, and user-friendly design to capture and convert sign language gestures in real-time, eliminating the need for intermediaries. Additional features include video calls, animated avatars, and end-to-end encryption. This paper details the methodology, functionality, and design, highlighting the potential for improved inclusivity in education, personal communication, and accessibility.
Pawar et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: