International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 7 Issue 1
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SMART SIGN: Live Sign Language Interpretation For Barrier-Free Video Conferencing

Author(s) Mitali Vishwekar, Daniel Injeti, Dr. Rakhi O. Gupta, Nashrah Gowalker
Country India
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.
Keywords Sign Language Translation, Hand Gesture Recognition, video-conferencing, Sign Language Translator for Meeting Apps, Real Time Sign Language Translation, Google Meet, Microsoft Teams, Zoom, Alphabetical sign language, Sign Language Interpreter.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-04
Cite This SMART SIGN: Live Sign Language Interpretation For Barrier-Free Video Conferencing - Mitali Vishwekar, Daniel Injeti, Dr. Rakhi O. Gupta, Nashrah Gowalker - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.36374
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.36374
Short DOI https://doi.org/g83xwn
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