[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 …

Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication

H ZainEldin, SA Gamel, FM Talaat, M Aljohani… - Artificial Intelligence …, 2024 - Springer
People who often communicate via sign language are essential to our society and
significantly contribute. They struggle with communication mostly because other people …

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

GZ De Castro, RR Guerra, FG Guimarães - 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 …

[HTML][HTML] Development of an expert system for assessing failures in oil and gas pipelines due to microbiologically influenced corrosion (MIC)

AA Abilio, JD Wolodko, RB Eckert… - Engineering Failure …, 2024 - Elsevier
This study highlights the modeling of an expert system for the classification of internal
microbiologically influenced corrosion (MIC) failures related to pipelines in the upstream oil …

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 …

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 …

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 …

A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024

AO Hashi, SZM Hashim, AB Asamah - IEEE Access, 2024 - ieeexplore.ieee.org
Hand gesture is the main method of communication for people who are hearing-impaired,
which poses a difficulty for millions of individuals worldwide when engaging with those who …

[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 …

Long Short-Term Memory (LSTM) model for Indian sign language recognition

R Nihalani, SS Chouhan, D Mittal… - Journal of Intelligent …, 2024 - content.iospress.com
The human-computer interaction process is a vital task in attaining artificial intelligence,
especially for a person suffering from hearing or speaking disabilities. Recognizing actions …