Human‐Computer Interaction with Hand Gesture Recognition Using ResNet and MobileNet

A Alnuaim, M Zakariah, WA Hatamleh… - Computational …, 2022 - Wiley Online Library
Sign language is the native language of deaf people, which they use in their daily life, and it
facilitates the communication process between deaf people. The problem faced by deaf …

Recursive feature elimination for improving learning points on hand-sign recognition

RC Chen, WE Manongga, C Dewi - Future Internet, 2022 - mdpi.com
Hand gestures and poses allow us to perform non-verbal communication. Sign language is
becoming more important with the increase in the number of deaf and hard-of-hearing …

A model for qur'anic sign language recognition based on deep learning algorithms

HA AbdElghfar, AM Ahmed, AA Alani… - Journal of …, 2023 - Wiley Online Library
Deaf and dumb Muslims cannot reach advanced levels of education due to the impact of
obstruction on their educational attainment. This leads to their inability to learn, recite, and …

Vision transformers and transfer learning approaches for arabic sign language recognition

NM Alharthi, SM Alzahrani - Applied Sciences, 2023 - mdpi.com
Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …

Advancements in Sign Language Recognition: A Comprehensive Review and Future Prospects

B Al Abdullah, G Amoudi, H Alghamdi - IEEE Access, 2024 - ieeexplore.ieee.org
Sign language (SL) is a vital mode of communication, bridging the gap between the hearing
impaired and hearing communities. However, SL, despite its paramount importance, has …

[PDF][PDF] Arabic Sign Language Recognition Systems: A Systematic Review

AMA Moustafa, MSM Rahim, MM Khattab… - Indian Journal of …, 2024 - ijcse.com
Deaf individuals use sign language to interact with each other and with people in general. In
most cases, an interpreter is needed in order for a hearing person to have a conversation …

Enhanced Weak Spatial Modeling Through CNN-based Deep Sign Language Skeletal Feature Transformation

FS Alamri, SB Abdullahi, AR Khan, T Saba - IEEE Access, 2024 - ieeexplore.ieee.org
Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …

[HTML][HTML] Establishing a multimodal dataset for Arabic Sign Language (ArSL) production

S Abbas, D Alahmadi, H Al-Barhamtoshy - Journal of King Saud University …, 2024 - Elsevier
This paper addresses the potential of Arabic Sign Language (ArSL) recognition systems to
facilitate direct communication and enhance social engagement between deaf and non …

QSLRS-CNN: Qur'anic sign language recognition system based on convolutional neural networks

HA AbdElghfar, AM Ahmed, AA Alani… - The Imaging Science …, 2024 - Taylor & Francis
Deaf and dumb Muslims face educational barriers. They can't read, recite, or comprehend
the Holy Qur'an, hence they can't practise Islamic ceremonies. This study proposes a CNN …

Enhancing communication: Deep learning for Arabic sign language translation

MA Hassan, AH Ali, AA Sabri - Open Engineering, 2024 - degruyter.com
This study explores the field of sign language recognition through machine learning,
focusing on the development and comparative evaluation of various algorithms designed to …