Results 131 to 140 of about 762 (197)

Pose-Based Static Sign Language Recognition with Deep Learning for Turkish, Arabic, and American Sign Languages. [PDF]

Sensors (Basel)
Yayla R, Üçgün H, Abbas M.
europepmc   +1 more source

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, Ozdemir, Ogulcan, Kindiroglu, Ahmet Alp, Kara, Ozgur   +3 more
core  

VDzSL: A synthetic video dataset for Algerian sign language using 3D avatars. [PDF]

Data Brief
Ouargani Y, Khattabi NE.
europepmc   +1 more source

Explainable AI for sign language recognition models: Integrating Grad-Cam LIME and Integrated Gradients. [PDF]

PLoS One
El-Qoraychy FZ, Mualla Y, Zhao H, Dridi M, Créput JC, Longo L.   +5 more
europepmc   +1 more source

Generative Sign-Description Prompts with Multi-Positive Contrastive Learning for Sign Language Recognition. [PDF]

Sensors (Basel)
Liang S, Li Y, Xin W, Chen H, Liu X, Liu K, Miao Q.   +6 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]

Sci Rep
AbdElghfar H, Youness HA, Wahba M, Abdelaal HM.   +3 more
europepmc   +1 more source

A comparative analysis of video vision transformers on word-level sign language datasets. [PDF]

PLoS One
Shawon JAB, Hasan MK, Mahmud H.
europepmc   +1 more source

Reducing Selection Bias in the Training Data of ASL Champ! To Improve the Sign Language Recognition (SLR) System

American Sign Language (ASL) is a natural language that is critical for effective communication within the Deaf community and also to bridge the gap between hearing and Deaf or Hard-of-Hearing individuals.
Pradhan, Nushla, \u2726, Silverman, Laine   +1 more
core  

A deep learning-based method combines manual and non-manual features for sign language recognition. [PDF]

Sci Rep
Harrouch H, Trabelsi L, Jebali M, Gammoudi O.   +3 more
europepmc   +1 more source

Harnessing attention-driven hybrid deep learning with combined feature representation for precise sign language recognition to aid deaf and speech-impaired people. [PDF]

Sci Rep
Almjally A, Algamdi SA, Aljohani N, Nour MK.   +3 more
europepmc   +1 more source