A comprehensive survey and taxonomy of sign language research

ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

CNN based feature extraction and classification for sign language

AA Barbhuiya, RK Karsh, R Jain - Multimedia Tools and Applications, 2021 - Springer
Hand gesture is one of the most prominent ways of communication since the beginning of
the human era. Hand gesture recognition extends human-computer interaction (HCI) more …

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

EJ Robert, HJ Duraisamy - Concurrency and Computation …, 2023 - Wiley Online Library
The recent advancements in computer vision and deep learning have led to promising
progress in various motion detection and gesture recognition methods. Thriving efforts in the …

Static hand gesture recognition based on convolutional neural networks

RF Pinto Jr, CDB Borges, AMA Almeida… - Journal of Electrical …, 2019 - Wiley Online Library
This paper proposes a gesture recognition method using convolutional neural networks. The
procedure involves the application of morphological filters, contour generation, polygonal …

mIV3Net: modified inception V3 network for hand gesture recognition

B Karsh, RH Laskar, RK Karsh - Multimedia Tools and Applications, 2024 - Springer
Hand gesture plays an important role in communication among the hearing and speech
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …

DeReFNet: Dual-stream Dense Residual Fusion Network for static hand gesture recognition

JP Sahoo, SP Sahoo, S Ari, SK Patra - Displays, 2023 - Elsevier
Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …

An efficient two-stream network for isolated sign language recognition using accumulative video motion

H Luqman - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the primary communication medium for persons with hearing impairments.
This language depends mainly on hand articulations accompanied by nonmanual gestures …

Recognition of user-dependent and independent static hand gestures: Application to sign language

K Sadeddine, FZ Chelali, R Djeradi, A Djeradi… - Journal of Visual …, 2021 - Elsevier
Static hand gesture (HG) recognition for both user-dependent and user-independent is a
challenging problem, especially when there are changes in lighting, hand position, and …

Dynamic Japanese sign language recognition throw hand pose estimation using effective feature extraction and classification approach

M Kakizaki, ASM Miah, K Hirooka, J Shin - Sensors, 2024 - mdpi.com
Japanese Sign Language (JSL) is vital for communication in Japan's deaf and hard-of-
hearing community. But probably because of the large number of patterns, 46 types, there is …