Sign-Verse – Sign Language Recognition System Using Convolutional Neural Networks

Sign-Verse presents a cutting-edge Sign Language Detection System (SLDS) driven by Convolutional Neural Networks (CNNs) with the goal of assisting the deaf and hard-of-hearing community in overcoming communication obstacles. Using Google Text-to-Speech API and state-of-the-art technology, the system converts hand gestures into text and speech formats with ease. It also has an emergency services capability that sends distress signals via emails to pre-designated emergency contacts in response to certain motions. Sign-Verse turns standard communication methods on their head, making it a revolutionary tool that improves safety and reach for individuals using sign language. Real-time gesture interpretation, multi-modal output display, and quick emergency reaction mechanisms are some of its key aspects, which highlight how important it is to promote inclusion and wellbeing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-08
DOI
https://doi.org/10.5281/zenodo.15173169
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Sign-Verse – Sign Language Recognition System Using Convolutional Neural Networks

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Sign-Verse – Sign Language Recognition System Using Convolutional Neural Networks

article en

Abstract

Sign-Verse presents a cutting-edge Sign Language Detection System (SLDS) driven by Convolutional Neural Networks (CNNs) with the goal of assisting the deaf and hard-of-hearing community in overcoming communication obstacles. Using Google Text-to-Speech API and state-of-the-art technology, the system converts hand gestures into text and speech formats with ease. It also has an emergency services capability that sends distress signals via emails to pre-designated emergency contacts in response to certain motions. Sign-Verse turns standard communication methods on their head, making it a revolutionary tool that improves safety and reach for individuals using sign language. Real-time gesture interpretation, multi-modal output display, and quick emergency reaction mechanisms are some of its key aspects, which highlight how important it is to promote inclusion and wellbeing.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 53%
Hand Gesture Recognition Systems
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Sign-Verse – Sign Language Recognition System Using Convolutional Neural Networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS