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Sign-Meet Virtual Meeting Platform with Sign Language Recognition

Year: 2025

Type: article

Abstract: Virtual meetings are a common mode of communication but are largely inaccessible for individuals with hearing and speech impairments. SIGN-MEET is an AI-powered platform integrating sign language recognition, speech-to-text, and avatar-based translation to enable inclusive real-time interaction. The system uses Temporal Convolutional Networks (TCN) for gesture interpretation, Hidden Markov Models (HMM) for speech recognition, and animated avatars for visual sign output. This ensures that deaf, mute, and non-signing users can engage equally in virtual environments.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15348352

Authors: Chandrasekaran K S, Denita P, Jocelyn A, Khrusanth S, Monisha J

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: green

OpenAlex ID: W6930897238

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