A Comparative Analysis of Glove-Based and Image-Based Sign Language Recognition Systems

Junkang Rong

2024

Abstract

As an important means of communication for deaf and hearing-impaired individuals, sign language possesses a unique linguistic system and mode of expression. However, because sign language is not widely spoken, the rate of standardized adoption is low, and there are significant differences in the sign languages used by various groups of deaf people. Consequently, sign language recognition technology plays a crucial role in facilitating barrier-free communication between deaf individuals and those with normal hearing. Sign language recognition systems that utilize glove-based sensors and image recognition have made significant advancements, thereby enabling more convenient communication. Glove-based sensors offer high precision by capturing detailed hand gestures. They are particularly effective in low-light conditions or when the signer is off-camera, providing a consistent recognition rate. On the other hand, image recognition systems excel in their non-intrusive nature, allowing for sign language interpretation without the need for the signer to wear any devices. They can process sign language in real-time and are ideal for video-based applications, making them suitable for inclusive social interactions and educational tools. This paper will review glove-based and image-based sign language recognition systems, covering their background, current research status, key technologies, and potential application prospects.

Paper Citation

in Harvard Style

Rong J. (2024). A Comparative Analysis of Glove-Based and Image-Based Sign Language Recognition Systems. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 408-412. DOI: 10.5220/0013337000004558

in Bibtex Style

@conference{mlscm24,
author={Junkang Rong},
title={A Comparative Analysis of Glove-Based and Image-Based Sign Language Recognition Systems},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={408-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013337000004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - A Comparative Analysis of Glove-Based and Image-Based Sign Language Recognition Systems
SN - 978-989-758-738-2
AU - Rong J.
PY - 2024
SP - 408
EP - 412
DO - 10.5220/0013337000004558
PB - SciTePress