[HTML][HTML] Deepsign: Sign language detection and recognition using deep learning
The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
speaking or hearing abilities are impaired. Communication presents a significant barrier for …
Helping hearing-impaired in emergency situations: A deep learning-based approach
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …
reinforce information delivered in daily conversations. Though they make a significant …
Indian Sign Language Recognition System for Dynamic Signs
Sign language is a means of communication utilising manual gestures (movement of hands
and wrists) and non-manual gestures (expressions of face and body language). There are …
and wrists) and non-manual gestures (expressions of face and body language). There are …
[HTML][HTML] Survey on sign language recognition in context of vision-based and deep learning
S Subburaj, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Every day we see many people with disabilities like the deaf, the dumb and the blind, etc.
Sign language is one of the communication tools for the hard-of-hearing people community …
Sign language is one of the communication tools for the hard-of-hearing people community …
Benchmarking deep neural network approaches for Indian Sign Language recognition
Sign language is the language of the deaf and mute. However, this particular population of
the world is unfortunately overlooked as the majority of the hearing population does not …
the world is unfortunately overlooked as the majority of the hearing population does not …
[HTML][HTML] DeepASLR: A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
A Kasapbaşi, AEA Elbushra, ALH Omar… - Computer Methods and …, 2022 - Elsevier
Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …
individuals. Objective We aimed to develop an American sign language recognition dataset …
[PDF][PDF] Sign language recognition system using convolutional neural network and computer vision
RSL Murali, LD Ramayya, VA Santosh - 2020 - ijeiat.com
Conversing to a person with hearing disability is always a major challenge. Sign language
has indelibly become the ultimate panacea and is a very powerful tool for individuals with …
has indelibly become the ultimate panacea and is a very powerful tool for individuals with …
ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks
S Sharma, K Kumar - Multimedia Tools and Applications, 2021 - Springer
The communication between a person from the impaired community with a person who does
not understand sign language could be a tedious task. Sign language is the art of conveying …
not understand sign language could be a tedious task. Sign language is the art of conveying …
[HTML][HTML] A vision-based deep learning approach for independent-users Arabic sign language interpretation
More than 5% of the people around the world are deaf and have severe difficulties in
communicating with normal people according to the World Health Organization (WHO). They …
communicating with normal people according to the World Health Organization (WHO). They …
Arabic sign language recognition and generating Arabic speech using convolutional neural network
MM Kamruzzaman - Wireless Communications and Mobile …, 2020 - Wiley Online Library
Sign language encompasses the movement of the arms and hands as a means of
communication for people with hearing disabilities. An automated sign recognition system …
communication for people with hearing disabilities. An automated sign recognition system …