Research of a sign language translation system based on deep learning
S He - 2019 International conference on artificial intelligence …, 2019 - ieeexplore.ieee.org
Sign language is a visual language that uses hand gesture, change of hand shape and track
information to express meaning, and is the main communication tool for people with hearing …
information to express meaning, and is the main communication tool for people with hearing …
Thai sign language recognition: an application of deep neural network
A Chaikaew, K Somkuan… - 2021 joint international …, 2021 - ieeexplore.ieee.org
Thai Sign Language (TSL) is the national sign language for Thai deaf people or hearing
impaired in Thailand. These people with disabilities can use sign language to communicate …
impaired in Thailand. These people with disabilities can use sign language to communicate …
Sign language recognition using resnet50 deep neural network architecture
P Rathi, R Kuwar Gupta, S Agarwal… - … Conference on Next …, 2020 - papers.ssrn.com
Communication is a barrier between the deaf-mute community and the rest of the society.
Sign Language is used for communication among such people who cannot speak and …
Sign Language is used for communication among such people who cannot speak and …
Sign language translation using deep convolutional neural networks
Sign language is a natural, visually oriented and non-verbal communication channel
between people that facilitates communication through facial/bodily expressions, postures …
between people that facilitates communication through facial/bodily expressions, postures …
Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
Abstract Sign Language Recognition is a breakthrough for communication among deaf-mute
society and has been a critical research topic for years. Although some of the previous …
society and has been a critical research topic for years. Although some of the previous …
Spatial-temporal multi-cue network for sign language recognition and translation
Despite the recent success of deep learning in video-related tasks, deep models typically
focus on the most discriminative features, ignoring other potentially non-trivial and …
focus on the most discriminative features, ignoring other potentially non-trivial and …
Time series neural networks for real time sign language translation
Sign language is the primary mode of communication for the hearing and speech impaired
and there is a need for systems to translate sign languages to spoken languages. Prior …
and there is a need for systems to translate sign languages to spoken languages. Prior …
[PDF][PDF] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning.
Communication between people with disabilities and people who do not understand sign
language is a growing social need and can be a tedious task. One of the main functions of …
language is a growing social need and can be a tedious task. One of the main functions of …
Vietnamese sign language detection using Mediapipe
B Duy Khuat, D Thai Phung, H Thi Thu Pham… - Proceedings of the …, 2021 - dl.acm.org
Sign language is the only way used in communication for deaf and dumb people who
cannot hear and speak. Viet Nam has nearly 2.5 million people with hearing and speaking …
cannot hear and speak. Viet Nam has nearly 2.5 million people with hearing and speaking …
Improved 3D-ResNet sign language recognition algorithm with enhanced hand features
S Wang, K Wang, T Yang, Y Li, D Fan - Scientific Reports, 2022 - nature.com
In sign language video, the hand region is small, the resolution is low, the motion speed is
fast, and there are cross occlusion and blur phenomena, which have a great impact on sign …
fast, and there are cross occlusion and blur phenomena, which have a great impact on sign …