Sign language recognition using convolutional neural networks

RM Varghese, S Siddharth, J Biju, S Dutta… - … , Control and Devices …, 2021 - Springer
The lack of familiarity with sign language among non-users and the absence of a universal
method for communication poses major problems for the deaf community. The digitization of …

Indian sign language recognition system for emergency words by using shape and deep features

S Das, SK Biswas, B Purkayastha - 2023 11th International …, 2023 - ieeexplore.ieee.org
Sign Language Recognition Systems (SLRS) are an advanced communication tool that
provides a platform for the deaf community to communicate with each other or with the …

Literature survey: application of machine learning techniques on static sign language recognition

Y Robert, Y Nigudkar, A Kulkarni, N Mutha… - Innovations in Bio …, 2021 - Springer
Abstract Sign Language Recognition systems have been thoroughly researched in recent
times to bridge the gap between the signer and non-signer community. This paper focuses …

Experimenting the automatic recognition of non-conventionalized units in sign language

V Belissen, A Braffort, M Gouiffès - Algorithms, 2020 - mdpi.com
Sign Languages (SLs) are visual–gestural languages that have developed naturally in deaf
communities. They are based on the use of lexical signs, that is, conventionalized units, as …

DEAF-BSL: deep lEArning framework for British sign language recognition

K Kumar - Transactions on Asian and Low-Resource Language …, 2022 - dl.acm.org
The recent development of disability studies in academic bodies has expedited the
promotion of investigation on disability. With computer-aided tools, communication between …

Automated CNN model for Indian Sign Language Gesture Recognition

VK Sambhav, R Rajmohan - 2024 10th International …, 2024 - ieeexplore.ieee.org
This paper presents the development and evaluation of a Convolutional Neural Network
(CNN)-based model for the real-time recognition of Indian Sign Language (ISL) gestures …

An attention-enhanced multi-scale and dual sign language recognition network based on a graph convolution network

L Meng, R Li - Sensors, 2021 - mdpi.com
Sign language is the most important way of communication for hearing-impaired people.
Research on sign language recognition can help normal people understand sign language …

GIDSL: Indian-Gujarati Isolated Dynamic Sign Language Recognition Using Deep Learning

JM Joshi, DU Patel - SN Computer Science, 2024 - Springer
In today's connected world, effective communication is crucial. However, due to limited
familiarity with sign language, the deaf and mute community often struggles with …

T-SignSys: An Efficient CNN-Based Turkish Sign Language Recognition System

S Colak, A Sadeghzadeh, MB Islam - International Conference on …, 2023 - Springer
Sign language (SL) is a communication tool playing a crucial role in facilitating the daily life
of deaf or hearing-impaired people. Large varieties in the existing SLs and lack of …

Sign language-to-text dictionary with lightweight transformer models

J Fink, P Poitier, M André, L Meurice… - 32nd International …, 2023 - researchportal.unamur.be
The recent advances in deep learning have been beneficial to automatic sign language
recognition (SLR). However, free-to-access, usable, and accessible tools are still not widely …