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 …
Advances in machine translation for sign language: approaches, limitations, and challenges
Sign languages are used by the deaf community around the globe to communicate with one
another. These are gesture-based languages where a deaf person performs gestures using …
another. These are gesture-based languages where a deaf person performs gestures using …
Recognition of American sign language gestures in a virtual reality using leap motion
A Vaitkevičius, M Taroza, T Blažauskas… - Applied Sciences, 2019 - mdpi.com
Featured Application We describe a system that uses a Leap Motion device to recognize the
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
A novel natural language processing (NLP)–based machine translation model for English to Pakistan sign language translation
Abstract Background/Introduction The deaf community in the world uses a gesture-based
language, generally known as sign language. Every country has a different sign language; …
language, generally known as sign language. Every country has a different sign language; …
An intelligent arabic sign language recognition system using a pair of LMCs with GMM based classification
In this paper, we propose a dual leap motion controllers (LMC)-based Arabic sign language
recognition system. More specifically, we introduce the concept of using both front and side …
recognition system. More specifically, we introduce the concept of using both front and side …
A multi-stack RNN-based neural machine translation model for English to Pakistan sign language translation
Sign languages are gesture-based languages used by the deaf community of the world.
Every country has a different sign language and there are more than 200 sign languages in …
Every country has a different sign language and there are more than 200 sign languages in …
[PDF][PDF] Enhancing the recognition of Arabic sign language by using deep learning and leap motion controller
A Alnahhas, B Alkhatib, N Al-Boukaee… - Int. J. Sci. Technol …, 2020 - researchgate.net
Because of the need to build assistive systems for people with special needs, many
computer systems have emerged to help understand sign language. In this paper we …
computer systems have emerged to help understand sign language. In this paper we …
A crowdsourcing-based framework for the development and validation of machine readable parallel corpus for sign languages
Sign languages are used by the deaf and mute community of the world. These are gesture
based languages where the subjects use hands and facial expressions to perform different …
based languages where the subjects use hands and facial expressions to perform different …
Handshape recognition using skeletal data
T Kapuscinski, P Organisciak - Sensors, 2018 - mdpi.com
In this paper, a method of handshapes recognition based on skeletal data is described. A
new feature vector is proposed. It encodes the relative differences between vectors …
new feature vector is proposed. It encodes the relative differences between vectors …
A Software for Learning Thai Fingerspelling Sign Language into Thai Consonants with Machine Learning
S Pisuchpen, C Singhtaun, L Suwannachote - International Conference on …, 2023 - Springer
Children with hearing impairment or deafness often face difficulties in spelling and reading.
This research aims to develop a program that translates Thai fingerspelling sign language …
This research aims to develop a program that translates Thai fingerspelling sign language …