Unraveling a decade: a comprehensive survey on isolated sign language recognition
N Sarhan, S Frintrop - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Sign language plays a crucial role as a distinct and vital mode of communication for diverse
groups of people in society. Each sign language encompasses a wide array of signs, each …
groups of people in society. Each sign language encompasses a wide array of signs, each …
Is context all you need? scaling neural sign language translation to large domains of discourse
Abstract Sign Language Translation (SLT) is a challenging task that aims to generate
spoken language sentences from sign language videos, both of which have different …
spoken language sentences from sign language videos, both of which have different …
Signgraph: An efficient and accurate pose-based graph convolution approach toward sign language recognition
Sign language recognition (SLR) enables the deaf and speech-impaired community to
integrate and communicate effectively with the rest of society. Word level or isolated SLR is a …
integrate and communicate effectively with the rest of society. Word level or isolated SLR is a …
Recent progress in sign language recognition: a review
A Wali, R Shariq, S Shoaib, S Amir… - Machine Vision and …, 2023 - Springer
Sign language is a predominant form of communication among a large group of society. The
nature of sign languages is visual, making them distinct from spoken languages …
nature of sign languages is visual, making them distinct from spoken languages …
Isolated sign language recognition based on tree structure skeleton images
D Laines, M Gonzalez-Mendoza… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Sign Language Recognition (SLR) systems aim to be embedded in video stream
platforms to recognize the sign performed in front of a camera. SLR research has taken …
platforms to recognize the sign performed in front of a camera. SLR research has taken …
Pakistan sign language recognition: leveraging deep learning models with limited dataset
Sign language is the predominant form of communication among a large group of society.
The nature of sign languages is visual. This makes them very different from spoken …
The nature of sign languages is visual. This makes them very different from spoken …
Bidirectional Skeleton-Based Isolated Sign Recognition using Graph Convolution Networks.
KM Dafnis - LREC proceedings, 2022 - par.nsf.gov
To improve computer-based recognition from video of isolated signs from American Sign
Language (ASL), we propose a new skeleton-based method that involves explicit detection …
Language (ASL), we propose a new skeleton-based method that involves explicit detection …
Multi-cue temporal modeling for skeleton-based sign language recognition
Sign languages are visual languages used as the primary communication medium for the
Deaf community. The signs comprise manual and non-manual articulators such as hand …
Deaf community. The signs comprise manual and non-manual articulators such as hand …
TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition
Abstract Sign Language Recognition (SLR) is an increasingly popular research topic due to
its extensive potential applications, such as education, healthcare, emergency response …
its extensive potential applications, such as education, healthcare, emergency response …
MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition
Sign language recognition (SLR) has long been plagued by insufficient model
representation capabilities. Although current pre-training approaches have alleviated this …
representation capabilities. Although current pre-training approaches have alleviated this …