Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language

Wiktor Barańczyk, Piotr Duch

2025

Abstract

Developing sign language recognition algorithms is important for promoting accessibility and inclusion for deaf and hard-of-hearing individuals, improving education, and advancing technological applications in various fields. This paper presents a novel approach for recognizing static signs of Polish Sign Language using characteristic points and deep neural networks. As an input to the deep neural network the distances between every landmark of hands, elbows, and shoulders were used. The study focused on exploring the effectiveness of using deep learning techniques for sign recognition. The proposed algorithm was evaluated on two publicly available databases (NUS and LSA16) and achieved higher or comparable accuracy to other algorithms. Additionally, it was tested on a collected database of photographs of 24 people. The proposed algorithm achieved 96.45% accuracy, 96.15% recall, and 96.66% precision.

Paper Citation

in Harvard Style

Barańczyk W. and Duch P. (2025). Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 201-208. DOI: 10.5220/0013112400003890

in Bibtex Style

@conference{icaart25,
author={Wiktor Barańczyk and Piotr Duch},
title={Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013112400003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Deep Neural Network Based Algorithm for Recognition of Static Signs of Polish Sign Language
SN - 978-989-758-737-5
AU - Barańczyk W.
AU - Duch P.
PY - 2025
SP - 201
EP - 208
DO - 10.5220/0013112400003890
PB - SciTePress