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[HTML][HTML] A survey on Sign Language machine translation
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 …
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
People who often communicate via sign language are essential to our society and
significantly contribute. They struggle with communication mostly because other people …
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
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 …
[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 …
microbiologically influenced corrosion (MIC) failures related to pipelines in the upstream oil …
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 …
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 …
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 …
A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024
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 …
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 …
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 …
especially for a person suffering from hearing or speaking disabilities. Recognizing actions …