[PDF][PDF] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning.

ASM Miah, J Shin, M Al Mehedi Hasan… - … Systems Science & …, 2023 - researchgate.net
Communication between people with disabilities and people who do not understand sign
language is a growing social need and can be a tedious task. One of the main functions of …

Dynamic hand gesture based sign word recognition using convolutional neural network with feature fusion

MA Rahim, J Shin, MR Islam - 2019 IEEE 2nd International …, 2019 - ieeexplore.ieee.org
Gesture-based sign language recognition systems play an important role in human-
computer interaction to develop communication between deaf communities and other …

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 …

Deep learning methods for indian sign language recognition

P Likhar, NK Bhagat, GN Rathna - 2020 IEEE 10th …, 2020 - ieeexplore.ieee.org
Indian Sign Language is the language used by specially abled people in India.
Unfortunately the general population has no understanding of the sign language which …

Vision-based hand gesture recognition using deep learning for the interpretation of sign language

S Sharma, S Singh - Expert Systems with Applications, 2021 - Elsevier
Hand gestures have been the key component of communication since the beginning of an
era. The hand gestures are the foundation of sign language, which is a visual form of …

[PDF][PDF] Sign language recognition system for communicating to people with disabilities

Y Obi, KS Claudio, VM Budiman… - Procedia Computer …, 2023 - researchgate.net
Sign language is one of the most reliable ways of communicating with special needs people,
as it can be done anywhere. However, most people do not understand sign language …

[HTML][HTML] Enhancing sign language recognition using CNN and SIFT: A case study on Pakistan sign language

S Arooj, S Altaf, S Ahmad, H Mahmoud… - Journal of King Saud …, 2024 - Elsevier
Millions of people who have trouble hearing rely heavily on sign language as their primary
means of communication. As a form of visual language, sign language is primarily used as …

[PDF][PDF] Sign language recognition

SR Kodandaram, NP Kumar - Turkish Journal of Computer and …, 2021 - turcomat.org
Sign Language is mainly used by deaf (hard hearing) and dumbpeople to exchange
information between their own community and with other people. It is a language where …

ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks

S Sharma, K Kumar - Multimedia Tools and Applications, 2021 - Springer
The communication between a person from the impaired community with a person who does
not understand sign language could be a tedious task. Sign language is the art of conveying …

Isolated sign language recognition using convolutional neural network hand modelling and hand energy image

KM Lim, AWC Tan, CP Lee, SC Tan - Multimedia Tools and Applications, 2019 - Springer
This paper presents an isolated sign language recognition system that comprises of two
main phases: hand tracking and hand representation. In the hand tracking phase, an …