Year: 2025
Type: article
Abstract: In the digital era, effective and inclusive communication is essential, particularly in video conferencing platforms widely adopted post-pandemic for professional and social interactions. However, these platforms often lack accessibility features for individuals with hearing and speech impairments. This research presents a lightweight, real-time sign language translator designed for seamless integration with popular video conferencing platforms like Google Meet, Microsoft Teams, Zoom, and Discord. Utilizing deep learning algorithms, image processing techniques, and virtual camera technology, the system translates sign language into written captions, displayed in real-time. By fostering accessibility and inclusivity, this innovation empowers deaf and mute individuals to participate actively in virtual meetings, bridging communication gaps and advancing equal opportunities for all.
Authors: Mitali Vishwekar -, Daniel Injeti -, Dr. Rakhi O. Gupta -, Nashrah Gowalker -
Institution: HSNC University
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: hybrid
OpenAlex ID: W4407128452