Machine translation from signed to spoken languages: State of the art and challenges

M De Coster, D Shterionov, M Van Herreweghe… - Universal Access in the …, 2024 - Springer
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …

Sign language: a systematic review on classification and recognition

S Renjith, R Manazhy - Multimedia Tools and Applications, 2024 - Springer
Sign language serves as an alternative communication mode for those with limitations in
hearing and speaking abilities. In India, an estimated population of around 2.7 million …

[HTML][HTML] Deep learning-based bangla sign language detection with an edge device

S Siddique, S Islam, EE Neon, T Sabbir… - Intelligent Systems with …, 2023 - Elsevier
Sign language, often referred to as silent conversation, serves as a visual gesture-based
primary communication medium for hearing-impaired individuals. People unable to speak or …

[HTML][HTML] Recognizing multiclass Static Sign Language words for deaf and dumb people of Bangladesh based on transfer learning techniques

MM Islam, MR Uddin, MN AKhtar, KMR Alam - Informatics in Medicine …, 2022 - Elsevier
Sign language is a language used for communication of the deaf and dumb (D&D)
community. To avoid difficulties in communication among themselves and also among …

Vision-based Real Time Bangla Sign Language Recognition System Using MediaPipe Holistic and LSTM

MW Foysol, SEA Sajal, MJ Alam - … International Conference on …, 2023 - ieeexplore.ieee.org
The Bangla Sign Language Detection System converts the Bangla sign language into text
so that deaf-mute people can communicate with ordinary people. Deaf-mute people are …

A review of sign language recognition research

M Yu, J Jia, C Xue, G Yan, Y Guo… - Journal of Intelligent & …, 2022 - content.iospress.com
Sign language is the primary way of communication between hard-of-hearing and hearing
people. Sign language recognition helps promote the better integration of deaf and hard-of …

Sign language recognition for Bangla alphabets using deep learning methods

MS Islam, D Das, S Das… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Language is an essential aspect of communication. We can understand and communicate
each other's feelings through language. However, certain members of our society cannot …

Two-way Communication: An Integrated System for American Sign Language Recognition and Speech-to-Text Translation

C Bhat, R Rajeshirke, S Chude… - 2023 14th …, 2023 - ieeexplore.ieee.org
Sign language serves as a means of communication for individuals who are deaf or have
hearing impairments, enabling them to interact within their own community and with people …

Penerapan Model Deep-CNN Untuk Meningkatan Akurasi Klasifikasi Bahasa Isyarat Alfabet Menggunakan Algoritma Convolutional Neural Network

F Al-Hafizh, A Alamsyah - Indonesian Journal of Mathematics …, 2024 - journal.unnes.ac.id
Technological developments in the era of artificial intelligence have led to the development
of computer systems capable of identifying sign language. Sign language is the primary …

[PDF][PDF] Using Deep Learning in Sign Language Translation to Text

MJC Samonte, CJM Guingab, RA Relayo… - Proceedings of the …, 2022 - ieomsociety.org
This study is about sign language translation into text; this technology is for those
experiencing difficulty in communicating, ie, those who have speech disorders, hearing …