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[HTML][HTML] A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
Sign language is the comprehensive medium of mass communication for hearing and
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
Sign language recognition for Arabic alphabets using transfer learning technique
M Zakariah, YA Alotaibi, D Koundal… - Computational …, 2022 - Wiley Online Library
Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which …
and themselves. As ordinary people tend to ignore the importance of sign language, which …
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 …
A review on computational methods based automated sign language recognition system for hearing and speech impaired community
EJ Robert, HJ Duraisamy - Concurrency and Computation …, 2023 - Wiley Online Library
The recent advancements in computer vision and deep learning have led to promising
progress in various motion detection and gesture recognition methods. Thriving efforts in the …
progress in various motion detection and gesture recognition methods. Thriving efforts in the …
Static hand gesture recognition for american sign language using deep convolutional neural network
One of the complicated issues of computer vision is the recognition of any sign languages.
The deaf and the dumb people use these sign languages to communicate. In the area of …
The deaf and the dumb people use these sign languages to communicate. In the area of …
[HTML][HTML] Computer vision-based six layered convneural network to recognize sign language for both numeral and alphabet signs
MA Rahaman, KU Oyshe, PK Chowdhury… - Biomimetic Intelligence …, 2024 - Elsevier
People who have trouble communicating verbally are often dependent on sign language,
which can be difficult for most people to understand, making interaction with them a difficult …
which can be difficult for most people to understand, making interaction with them a difficult …
A systematic review on the chronological development of bangla sign language recognition systems
Despite sign language being the primary medium of conversation with deaf and dumb (DD)
individuals, it is hard to grasp for any class of people, making communication immensely …
individuals, it is hard to grasp for any class of people, making communication immensely …
[HTML][HTML] Toward a vision-based intelligent system: A stacked encoded deep learning framework for sign language recognition
Sign language recognition, an essential interface between the hearing and deaf-mute
communities, faces challenges with high false positive rates and computational costs, even …
communities, faces challenges with high false positive rates and computational costs, even …
Hand gesture recognition for bangla sign language using deep convolution neural network
D Tasmere, B Ahmed - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
Around the world, deaf and dumb people are sufferers of all kinds of activities due to a lack
of proper sign language interpreters. Our research paper proposes a new hand gesture …
of proper sign language interpreters. Our research paper proposes a new hand gesture …
Borno-net: a real-time Bengali sign-character detection and sentence generation system using quantized Yolov4-Tiny and LSTMs
Sign language is the most commonly used form of communication for persons with
disabilities who have hearing or speech difficulties. However, persons without hearing …
disabilities who have hearing or speech difficulties. However, persons without hearing …