Machine translation from signed to spoken languages: State of the art and challenges
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …
domain on the intersection of computer vision, machine translation (MT), and linguistics …
A hybrid CNN-LSTM model for aircraft 4D trajectory prediction
L Ma, S Tian - IEEE access, 2020 - ieeexplore.ieee.org
The 4D trajectory is a multi-dimensional time series with plentiful spatial-temporal features
and has a high degree of complexity and uncertainty. Aiming at these features of aircraft …
and has a high degree of complexity and uncertainty. Aiming at these features of aircraft …
Using YOLOv5 algorithm to detect and recognize American sign language
TF Dima, ME Ahmed - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Sign language is a system of communication using visual gestures and signs, and is
generally used by people who have speech or hearing difficulties. To make those people …
generally used by people who have speech or hearing difficulties. To make those people …
A review on sign language recognition (slr) system: Ml and dl for slr
S Das, M Chakraborty… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Sign Language (SL) is a parallel communication medium to spoken language, mostly used
by people who are not able to speak or hear. A human interpreter is also required to work as …
by people who are not able to speak or hear. A human interpreter is also required to work as …
[HTML][HTML] Efficient deep learning models based on tension techniques for sign language recognition
NF Attia, MTFS Ahmed, MAM Alshewimy - Intelligent systems with …, 2023 - Elsevier
Communication by speaking prevails among the various ways of self-expression and
communication between people. Speech presents a significant challenge for some disabled …
communication between people. Speech presents a significant challenge for some disabled …
Sign Language recognition and translation into pashto language alphabets
AF Shokoori, M Shinwari, JA Popal… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Sign language is mandatory and mostly used by huge number of individuals (particularly
disabled) in society and it is another way of communication; The form of the hand, the …
disabled) in society and it is another way of communication; The form of the hand, the …
Automatic Cropping of Handwritten Scanned Documents with Object Detection Algorithm
Aanchal, Nidhi, Preeti, Gurpratap - Procedia Computer Science, 2023 - Elsevier
Automated cropping of handwritten letter fragments with the deep learning-based object
detection algorithms is the current trend with an additional technique for the handling of …
detection algorithms is the current trend with an additional technique for the handling of …
EM-sign: A non-contact recognition method based on 24 GHz doppler radar for continuous signs and dialogues
L Ye, S Lan, K Zhang, G Zhang - Electronics, 2020 - mdpi.com
We studied continuous sign language recognition using Doppler radar sensors. Four signs
in Chinese sign language and American sign language were captured and extracted by …
in Chinese sign language and American sign language were captured and extracted by …
WGAN-GP and LSTM based Prediction Model for Aircraft 4-D Traj ectory
The rapid growth of air traffic flow has brought the airspace capacity close to saturation and,
at the same time, has resulted in great stress for air traffic controllers. The 4-D trajectory …
at the same time, has resulted in great stress for air traffic controllers. The 4-D trajectory …
Improving automatic sign language translation with image binarisation and deep learning
Sign Language Translation (SLT) has been widely investigated to provide a futuristic
solution to tackle human speech and hearing disability. Recent deep learning-based SLT …
solution to tackle human speech and hearing disability. Recent deep learning-based SLT …