Generating Avatar Using HamNoSys and SiGML for British Sign Language

In today's digital world online video lectures have become a crucial tool for learning. Yet, these resources aren't available to a big part of the world's population those who are deaf or hard of hearing. This study presents a new system that aims to make these resources available to everyone by turning spoken words from video lectures into sign language gestures. The system uses advanced video processing to change spoken words into text. It then turns this text into British Sign Language (BSL) glosses, which are then written in the Hamburg Notation System (HamNoSys). Using the Signing Gesture Markup Language (SiGML), the system creates a virtual avatar that can show complex sign language gestures. The heart of this research is in combining cutting-edge technologies to offer a deep learning experience that goes beyond hearing limits and tries to make online education for everyone. Early tests of the system show it has the power to close the current gap in education highlighting how important it is to include everyone in the digital age.

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Publication Details

Published
2025-02-20
DOI
https://doi.org/10.1109/icsc64553.2025.10968692
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
1.94
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article

Generating Avatar Using HamNoSys and SiGML for British Sign Language

Vipin Tiwari, Ashish Mishra, Rahul Dubey, Harshit Singh
1 citations
Hand Gesture Recognition Systems
1.94
article

Generating Avatar Using HamNoSys and SiGML for British Sign Language

Vipin Tiwari, Ashish Mishra, Rahul Dubey, Harshit Singh
article en
1 citations

Abstract

In today's digital world online video lectures have become a crucial tool for learning. Yet, these resources aren't available to a big part of the world's population those who are deaf or hard of hearing. This study presents a new system that aims to make these resources available to everyone by turning spoken words from video lectures into sign language gestures. The system uses advanced video processing to change spoken words into text. It then turns this text into British Sign Language (BSL) glosses, which are then written in the Hamburg Notation System (HamNoSys). Using the Signing Gesture Markup Language (SiGML), the system creates a virtual avatar that can show complex sign language gestures. The heart of this research is in combining cutting-edge technologies to offer a deep learning experience that goes beyond hearing limits and tries to make online education for everyone. Early tests of the system show it has the power to close the current gap in education highlighting how important it is to include everyone in the digital age.

Jaypee Institute of Information Technology (IN), Symbiosis International University (IN), Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Openalex Percentile: Top 17%
Hand Gesture Recognition Systems
1.94
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