Recognition of Sign Language with CNN
VR Maddumala, BS Sandhya… - … and Control Systems …, 2022 - ieeexplore.ieee.org
Sign language is one method of communicating with deaf people. Because of the inclusion
of elements and differences in regional dialects, this project's ISL research has been limited …
of elements and differences in regional dialects, this project's ISL research has been limited …
Recognition of American Sign Language Using Deep Convolution Network
BA Dabwan, ME Jadhav - … , System and Service for Internet of …, 2022 - ieeexplore.ieee.org
Around 466 million individuals are deaf or hard of hearing worldwide. Those individuals
must engage with others, learn new things, and participate in activities. Sign language …
must engage with others, learn new things, and participate in activities. Sign language …
Deep Neural Network based Sign Language Detection
A Bhavana, KS Reddy, DP Kumar - 2022 6th International …, 2022 - ieeexplore.ieee.org
Deaf and dumb persons who are physically impaired use sign language to communicate.
The main obstacles that have prevented much ASL study have been incorporated …
The main obstacles that have prevented much ASL study have been incorporated …
Recent advances in sign language recognition using deep learning techniques
SE Panneer, M Sornam - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Communication is essential to express and receive information, knowledge, ideas, and
views among people, but it has been quite a while to be an obstruction for people with …
views among people, but it has been quite a while to be an obstruction for people with …
Sign language recognition using machine learning
J Manikandan, BV Krishna… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
One of the ways to communicate with deaf and dumb individuals is through sign language.
So, in order to speak with deaf and dumb people, one should learn sign language; yet …
So, in order to speak with deaf and dumb people, one should learn sign language; yet …
Sign language recognition: high performance deep learning approach applyied to multiple sign languages
A El Zaar, N Benaya, A El Allati - E3S Web of Conferences, 2022 - e3s-conferences.org
In this paper we present a high performance Deep Learning architecture based on
Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable …
Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable …
Sign Language Recognition Using Convolutional Neural Network
A condition in which an individual has trouble forming sounds is called speech impairment,
and a condition in which an individual cannot completely receive sounds through their ears …
and a condition in which an individual cannot completely receive sounds through their ears …
Sign Language Recognition Based on CNN and Data Augmentation
G Li, X Wang, Y Liu - … IEEE 5th International Conference on Civil …, 2023 - ieeexplore.ieee.org
Sign language recognition is an important assistive communication technology, which is one
of the main communication methods for hearing and language impaired individuals …
of the main communication methods for hearing and language impaired individuals …
An Improved Real-Time Sign Language Recognition using Transfer Learning
L Goel, NP Karthik, MJ Naidu, P Sinha… - … Computing and Data …, 2023 - ieeexplore.ieee.org
For decades, many researchers have been working on finding efficient solutions to
implement sign language recognition systems through various technologies. Sign …
implement sign language recognition systems through various technologies. Sign …
Sign language detection using convolutional neural network
P Rakshit, S Paul, S Dey - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
Sign language recognition is an important social issue to be addressed which can benefit
the deaf and hard of hearing community by providing easier and faster communication …
the deaf and hard of hearing community by providing easier and faster communication …