A methodological and structural review of hand gesture recognition across diverse data modalities

J Shin, ASM Miah, MH Kabir, MA Rahim… - IEEE Access, 2024 - ieeexplore.ieee.org
Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …

Dynamic hand gesture recognition using multi-branch attention based graph and general deep learning model

ASM Miah, MAM Hasan, J Shin - IEEE Access, 2023 - ieeexplore.ieee.org
The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Korean sign language recognition using transformer-based deep neural network

J Shin, AS Musa Miah, MAM Hasan, K Hirooka… - Applied Sciences, 2023 - mdpi.com
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …

Sign language recognition using graph and general deep neural network based on large scale dataset

ASM Miah, MAM Hasan, S Nishimura, J Shin - IEEE Access, 2024 - ieeexplore.ieee.org
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …

Hand gesture recognition for multi-culture sign language using graph and general deep learning network

ASM Miah, MAM Hasan, Y Tomioka… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …

Multistage spatial attention-based neural network for hand gesture recognition

ASM Miah, MAM Hasan, J Shin, Y Okuyama… - Computers, 2023 - mdpi.com
The definition of human-computer interaction (HCI) has changed in the current year because
people are interested in their various ergonomic devices ways. Many researchers have …

Sign language recognition: A comprehensive review of traditional and deep learning approaches, datasets, and challenges

T Tao, Y Zhao, T Liu, J Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
The Deaf are a large social group in society. Their unique way of communicating through
sign language is often confined within their community due to limited understanding by …

Korean sign language alphabet recognition through the integration of handcrafted and deep learning-based two-stream feature extraction approach

J Shin, ASM Miah, Y Akiba, K Hirooka, N Hassan… - IEEE …, 2024 - ieeexplore.ieee.org
Recognizing sign language plays a crucial role in improving communication accessibility for
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …

[HTML][HTML] Deep learning-based bangla sign language detection with an edge device

S Siddique, S Islam, EE Neon, T Sabbir… - Intelligent Systems with …, 2023 - Elsevier
Sign language, often referred to as silent conversation, serves as a visual gesture-based
primary communication medium for hearing-impaired individuals. People unable to speak or …