[HTML][HTML] A survey on Sign Language machine translation
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …
communicate on a daily basis. However, the communication with hearing people still faces …
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 …
Sign language recognition using a combination of new vision based features
MM Zaki, SI Shaheen - Pattern Recognition Letters, 2011 - Elsevier
Sign languages are based on four components hand shape, place of articulation, hand
orientation, and movement. This paper presents a novel combination of vision based …
orientation, and movement. This paper presents a novel combination of vision based …
Spatial-temporal graph convolutional networks for sign language recognition
The recognition of sign language is a challenging task with an important role in society to
facilitate the communication of deaf persons. We propose a new approach of Spatial …
facilitate the communication of deaf persons. We propose a new approach of Spatial …
User-independent system for sign language finger spelling recognition
D Dahmani, S Larabi - Journal of Visual Communication and Image …, 2014 - Elsevier
We propose in this paper a framework for recognizing the sign language alphabet. To
separate hand images from complex backgrounds, we use skin colour and texture attributes …
separate hand images from complex backgrounds, we use skin colour and texture attributes …
A survey on manual and non-manual sign language recognition for isolated and continuous sign
Sign language recognition is an important area of human computer interaction (HCI). The
last decade witnessed a good number of publications in this field. Furthermore, several …
last decade witnessed a good number of publications in this field. Furthermore, several …
Statistical sign language machine translation: from English written text to American sign language gloss
This works aims to design a statistical machine translation from English text to American
Sign Language (ASL). The system is based on Moses tool with some modifications and the …
Sign Language (ASL). The system is based on Moses tool with some modifications and the …
Block-based histogram of optical flow for isolated sign language recognition
In this paper, we propose a block-based histogram of optical flow (BHOF) to generate hand
representation in sign language recognition. Optical flow of the sign language video is …
representation in sign language recognition. Optical flow of the sign language video is …
Automatic sign language recognition: A survey
Sign Language, which is a fully visual language with its own grammar, differs largely from
that of spoken languages [21]. After nearly 30 years of research, SL recognition still in its …
that of spoken languages [21]. After nearly 30 years of research, SL recognition still in its …
Appearance-based arabic sign language recognition using hidden markov models
In this paper, we propose a new method to solve sign language recognition problem using
appearance-based features. Particularly, Local Binary Patterns (LBP) are employed to …
appearance-based features. Particularly, Local Binary Patterns (LBP) are employed to …