[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 …
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 …
consisting of a natural form of communication and being a symbol of identity and culture …
Recent advances of deep learning for sign language recognition
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 …
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
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 …
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 …
disputes among themselves. A major component required for effective communication is …
A deep sign language recognition system for Indian sign language
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 …
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 …
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 …
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 …
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 …
such models do not discriminate standard and nonstandard sign language actions made by …