Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
Sign language recognition (SLR) has recently achieved a breakthrough in performance thanks to deep neural networks trained on large annotated sign datasets.
Akarun, Lale +3 more
core
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
This paper introduces TVB-HKSL-News, a new Hong Kong sign language (HKSL) dataset collected from a TV news program over a period of 7 months. The dataset is collected to enrich resources for HKSL and support research in large-vocabulary continuous sign ...
Mak, Brian +3 more
core
Sign Language Recognition using Bidirectional Reservoir Computing [PDF]
Sign language recognition (SLR) facilitates communication between deaf and hearing individuals. Deep learning is widely used to develop SLR-based systems; however, it is computationally intensive and requires substantial computational resources, making ...
0000-0001-6974-070X +15 more
core
Isolated Sign Language Recognition from RGB Video [PDF]
Sign Language Recognition (SLR) is a key task for breaking communication barriers for the deaf community. This thesis addresses major challenges in Isolated SLR (ISLR): data scarcity, complex motion modeling, and reliance on specialized sensors.
Sarhan, Noha
core
An explainable hybrid CNN-transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation. [PDF]
Lamaakal I +4 more
europepmc +1 more source
A novel deep transformer based CvT model for sign language recognition in visual communication. [PDF]
Hao J, Pan H.
europepmc +1 more source
Sign4all: a Spanish Sign Language dataset. [PDF]
Morillas-Espejo F, Martinez-Martin E.
europepmc +1 more source
VDzSL: A synthetic video dataset for Algerian sign language using 3D avatars. [PDF]
Ouargani Y, Khattabi NE.
europepmc +1 more source
Explainable AI for sign language recognition models: Integrating Grad-Cam LIME and Integrated Gradients. [PDF]
El-Qoraychy FZ +5 more
europepmc +1 more source
An automated framework for qur'anic education of the hearing-impaired using body pose classification and Arabic sign language integration. [PDF]
AbdElghfar H +3 more
europepmc +1 more source

