Video-based Sign Language Recognition using Recurrent Neural Networks

V Puranik, V Gawande, J Gujarathi… - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
Deaf-mute people regularly confront communication challenges with people who can hear
and speak as the primary means of communication they use is sign language. People often …

Image-based Indian sign language recognition: a practical review using deep neural networks

H Kaur, SK Bedi, MA Lekhana - arXiv preprint arXiv:2304.14710, 2023 - arxiv.org
People with vocal and hearing disabilities use sign language to express themselves using
visual gestures and signs. Although sign language is a solution for communication …

[PDF][PDF] design and implementation of cnn for sign language recognition

I Khan, S Rana, NM Ansari, R Iqbal… - Talha Tariq, Maqsood …, 2022 - researchgate.net
Every day, we witness numerous deaf, mute, and blind people. They have a hard time
interacting with others. Sign Language is a language in which we use hand movements and …

Sign to speech convolutional neural network-based filipino sign language hand gesture recognition system

MBD Jarabese, CS Marzan, JQ Boado… - 2021 International …, 2021 - ieeexplore.ieee.org
Sign Language Recognition is a breakthrough for helping deaf-mute people and has been
studied for many years. Unfortunately, every research has its own limitation and are still …

An Improved Real-Time Sign Language Recognition using Transfer Learning

L Goel, NP Karthik, MJ Naidu, P Sinha… - … Computing and Data …, 2023 - ieeexplore.ieee.org
For decades, many researchers have been working on finding efficient solutions to
implement sign language recognition systems through various technologies. Sign …

Live sign language recognition: Using convolution neural networks

A Rathi, S Pasari, S Sheoran - 2022 8th International …, 2022 - ieeexplore.ieee.org
Sign language is an effective way to communicate for the communities with speech and
hearing difficulties. There has been a significant improvement in sign languages in recent …

An empirical analysis of cnn for american sign language recognition

VB Lakshmi, KB Sivachandra… - 2023 5th …, 2023 - ieeexplore.ieee.org
American Sign Language recognition is a crucial technology that aims to improve
accessibility and communication for the deaf and hard-of-hearing community. This research …

SignNet: A Deep Learning Architecture for Accurate Sign Language Recognition from Images

K Sahu, T Saraswat, R Sawhney - 2023 14th International …, 2023 - ieeexplore.ieee.org
Sign Language, as the word is self-explanatory, it means using the signs, or herein we can
also call them as gestures for inter-communication between people who are specially-abled …

Real-time sign language recognition system

S Sen, S Narang, P Gouthaman - 2023 Advanced Computing …, 2023 - ieeexplore.ieee.org
Hearing and speech impairments affect more than 36 million of the world's population. A
sign-language recognition system is a crucial step towards the enhancement of …

A 2d fast deep neural network for static indian sign language recognition

AS Menon, CJ Sruthi, A Lijiya - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Sign Language Recognition is one of the most researched topics in the field of computer
vision. Hearing-impaired people use sign languages to communicate with the rest of society …