[HTML][HTML] A survey on Sign Language machine translation

A Núñez-Marcos, O Perez-de-Viñaspre… - Expert Systems with …, 2023 - Elsevier
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps

GZ De Castro, RR Guerra, FG Guimaraes - Expert Systems with …, 2023 - Elsevier
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …

Recent advances of deep learning for sign language recognition

L Zheng, B Liang, A Jiang - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

Automated Indian sign language recognition system by fusing deep and handcrafted feature

S Das, SK Biswas, B Purkayastha - Multimedia Tools and Applications, 2023 - Springer
The deaf community faces some major challenges due to the communication gap with the
hearing community. The traditional approach of employing a Sign Language (SL) interpreter …

[HTML][HTML] Sign and human action detection using deep learning

S Dhulipala, FF Adedoyin, A Bruno - Journal of Imaging, 2022 - mdpi.com
Human beings usually rely on communication to express their feeling and ideas and to solve
disputes among themselves. A major component required for effective communication is …

A deep sign language recognition system for Indian sign language

S Das, SK Biswas, B Purkayastha - Neural Computing and Applications, 2023 - Springer
Deaf people face major challenges during communication with normal people. Employing a
human interpreter (a person who converts Sign language (SL) into a language that the …

Information System for Learning Control in Teaching Russian Sign Language: Process and Data Modeling.

M Logachev, V Chernova, Y Laamarti… - International Journal of …, 2022 - ERIC
The article describes project of the information system to control the teaching of Russian
sign language. The aim of the conducted study is to consolidate existing algorithms and …

A highly stretchable and sensitive strain sensor for lip-reading extraction and speech recognition

L Cheng, D Ruan, Y He, J Yang, W Qian… - Journal of Materials …, 2023 - pubs.rsc.org
Speech recognition often relies on visual stereo images and videos, but it is often limited by
light intensity and opaque occlusions such as masks (such as during the coronavirus …

Double handed dynamic Turkish Sign Language recognition using Leap Motion with meta learning approach

Z Katılmış, C Karakuzu - Expert Systems with Applications, 2023 - Elsevier
Sign language is one of the most important communication tools for hearing impaired
people. In this study, the recognition of two-handed dynamic words in Turkish Sign …

Deep Learning–based Standard Sign Language Discrimination

M Zhang, S Yang, M Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
General sign language recognition models are only designed for recognizing categories, ie,
such models do not discriminate standard and nonstandard sign language actions made by …