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 …

Is context all you need? scaling neural sign language translation to large domains of discourse

OM Sincan, NC Camgoz… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

Signgraph: An efficient and accurate pose-based graph convolution approach toward sign language recognition

N Naz, H Sajid, S Ali, O Hasan, MK Ehsan - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

Pakistan sign language recognition: leveraging deep learning models with limited dataset

HM Hamza, A Wali - Machine Vision and Applications, 2023 - Springer
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 …

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 …

Multi-cue temporal modeling for skeleton-based sign language recognition

O Özdemir, İM Baytaş, L Akarun - Frontiers in Neuroscience, 2023 - frontiersin.org
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 …

TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition

Z Deng, Y Leng, J Chen, X Yu, Y Zhang, Q Gao - Neurocomputing, 2024 - Elsevier
Abstract Sign Language Recognition (SLR) is an increasingly popular research topic due to
its extensive potential applications, such as education, healthcare, emergency response …

MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition

W Zhao, H Hu, W Zhou, Y Mao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sign language recognition (SLR) has long been plagued by insufficient model
representation capabilities. Although current pre-training approaches have alleviated this …