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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 …
a vital role in modern society to communicate and interact with people having hearing …
[HTML][HTML] Deep learning in food category recognition
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 …
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
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 …
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 …
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 …
procedure involves the application of morphological filters, contour generation, polygonal …
mIV3Net: modified inception V3 network for hand gesture recognition
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 …
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …
DeReFNet: Dual-stream Dense Residual Fusion Network for static hand gesture recognition
Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …
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 …
This language depends mainly on hand articulations accompanied by nonmanual gestures …
Recognition of user-dependent and independent static hand gestures: Application to sign language
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 …
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
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 …
hearing community. But probably because of the large number of patterns, 46 types, there is …