Enhancing Communication for Deaf and Dumb Individuals through Sign Language Detection: A Comprehensive Dataset and SVM-Based Model Approach

D Veeraiah, SJ Basha, KS Deepthi… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
The goal of this project is to create a sign language identification system that uses computer
vision and machine learning to help people who are deaf or hard of hearing communicate …

Intelligent Sign Language Recognition Enhancing Accessibility for the Deaf Community

M Rothe, R Lath, P Yadav, D Kumar… - 2023 14th …, 2023 - ieeexplore.ieee.org
Every human being is unique in their own way while some suffer from disabilities like
hearing and speech. It is unfair for individuals to encounter hardships when engaging in a …

A Comprehensive Review on Real-Time Sign Language Detection for Deaf and Dumb People

R Deshmukh, T Lahamge, I Phadatare… - … Analysis and Deep …, 2024 - ieeexplore.ieee.org
Sign language is a critical mode of communication for individuals with hearing and speaking
impairments. This research aims to create a precise and efficient model capable of …

Machine Learning Based Sign Language Recognition System

MA Ahmed, H Pandey, T Kumar… - … on Advances in …, 2023 - ieeexplore.ieee.org
This research paper represents a sign language recognition system that uses computer
vision and machine learning algorithms to translate sign language into written or spoken …

[PDF][PDF] Camera-based sign language recognition and simultaneous speech generation: A survey

A Patani, V Gawande, J Gujarathi, V Puranik - EasyChair, Tech. Rep., 2021 - easychair.org
Abstract​—​ People regularly face problems for interpreting deaf-mute people, who
primarily use sign language for communication amongst themselves and others. Despite …

Deep Learning-Based Technique for Sign Language Detection

Z Mustaffa, NAFM Zulkifli, MH Sulaiman… - 2023 International …, 2023 - ieeexplore.ieee.org
Sign languages are a form of communication used by the deaf and hard-of-hearing
community. Malay Sign Language (MSL) is the official sign language practiced in Malaysia …

SignSpeak: Exploring the Sign Language Communication Using Deep Neural Networks

BM Teja, B Natarajan, R Elakkiya… - 2023 International …, 2023 - ieeexplore.ieee.org
This research's primary goal is to create a system for detecting sign language. Sign
language has long been accepted as a genuine mode of communication for people who are …

[PDF][PDF] Real-time vernacular sign language recognition using mediapipe and machine learning

A Halder, A Tayade - Journal homepage: www. ijrpr. com ISSN, 2021 - researchgate.net
The deaf-mute community have undeniable communication problems in their daily life.
Recent developments in artificial intelligence tear down this communication barrier. The …

Harnessing CNN Technology for Enhanced Sign Language Recognition in the Deaf and Dumb Community

R Gondhule, K Chandra, C Dhule… - … on Innovations and …, 2024 - ieeexplore.ieee.org
The domain of sign language recognition poses many challenges to researchers. In recent
years, however, several advancements have been made due to the increased availability of …

Sign Language Recognition using BiLSTM model

S Renjith, R Manazhy… - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
Sign Language Recognition (SLR) is a crucial tool that facilitates efficient communication for
people with hearing disabilities. This research investigates the use of Bidirectional Long …