SMART SIGN: Live Sign Language Interpretation For Barrier-Free Video Conferencing

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

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-02-04
DOI
https://doi.org/10.36948/ijfmr.2025.v07i01.36374
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

SMART SIGN: Live Sign Language Interpretation For Barrier-Free Video Conferencing

Rinki Gupta, Mitali Vishwekar -, Daniel Injeti -, Nashrah Gowalker -
International Journal For Multidisciplinary Research
Hand Gesture Recognition Systems
article

SMART SIGN: Live Sign Language Interpretation For Barrier-Free Video Conferencing

Rinki Gupta, Mitali Vishwekar -, Daniel Injeti -, Nashrah Gowalker -
article en

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.

International Journal For Multidisciplinary ResearchVol. 7(1)
Quality Education
Openalex Percentile: Top 99%
Hand Gesture Recognition Systems
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