Pashto Isolated Digits Sign Language Recognition

Y Saifnijat, A Qaderi - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Effective communication involves the ability to hear and listen without any hindrances.
However, communicating with the deaf community can be challenging, even when one is …

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 …

Unlocking Sign Language Communication: A Deep Learning Paradigm for Overcoming Accessibility Challenges

T Kumaragurubaran, SS Pandi… - … and Internet of …, 2024 - ieeexplore.ieee.org
One of the most important modes of engagement that may be utilized while communicating
with people who are deaf and mute is the use of sign language. Despite this, there are …

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 …

[PDF][PDF] Real-time recognition framework for Indian Sign Language using fine-tuned convolutional neural networks

R Soni, A Vijay, A Khandelwal, R Vijay… - Proceedings of …, 2023 - publications.scrs.in
Sign language is a very crucial aspect in the lives of those who cannot speak or listen and to
those around them. People with these disabilities have difficulty communicating with the …

[HTML][HTML] Enhancing Arabic Sign Language Interpretation: Leveraging Convolutional Neural Networks and Transfer Learning

S Al Ahmadi, F Muhammad, H Al Dawsari - Mathematics, 2024 - mdpi.com
In a world essentializing communication for human connection, the deaf community
encounters distinct barriers. Sign language, their main communication method is rich in …

Sign Language Recognition using Convolutional Neural Network

N Gulati, A Rajput, A Singh - 2024 14th International …, 2024 - ieeexplore.ieee.org
The Sign Language Recognition (SLR) sector has seen significant progress in recent years,
driven by the growing need for technology to bridge the communication gap for the deaf and …

Real-Time Hand Gesture Recognition for American Sign Language Using CNN, Mediapipe and Convexity Approach

V Bhatt, R Dash - International Conference on Machine Learning, Image …, 2023 - Springer
Hand gesture recognition is crucial to computer vision and human-computer interaction
(HCI), enabling natural and intuitive interactions between humans and machines. Sign …

Sign language recognition using machine learning

J Manikandan, BV Krishna… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
One of the ways to communicate with deaf and dumb individuals is through sign language.
So, in order to speak with deaf and dumb people, one should learn sign language; yet …

An Optimum Approach to Indian Sign Language Recognition using Efficient Convolution Neural Networks

R Kumar, N Bhardwaj, NS Kumar - 2022 4th International …, 2022 - ieeexplore.ieee.org
The most important component of every discussion is language, and sign language is the
most formal mode of communication for persons who are deaf or mute. Communication, as …