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Towards Hybrid Multimodal Manual and Non-Manual Arabic Sign Language Recognition: mArSL Database and Pilot Study
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11550518_50openalex-snapshot
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
inferredcites →https://doi.org/10.1007/978-3-030-37731-1_43openalex-snapshot
The Korean Sign Language Dataset for Action Recognition
inferredcites →https://doi.org/10.1007/978-3-030-66823-5_18openalex-snapshot
Multi-channel Transformers for Multi-articulatory Sign Language Translation
inferredcites →https://doi.org/10.1007/978-3-319-48746-5_41openalex-snapshot
Sign Language Recognition Model Combining Non-manual Markers and Handshapes
inferredcites →https://doi.org/10.1007/978-3-319-59427-9_32openalex-snapshot
Arabic Sign Language Recognition Using Optical Flow-Based Features and HMM
inferredcites →https://doi.org/10.1007/978-3-540-74936-3_22openalex-snapshot
A Duality Based Approach for Realtime TV-L 1 Optical Flow
inferredcites →https://doi.org/10.1007/978-3-642-12214-9_18openalex-snapshot
Recognition of Isolated Indian Sign Language Gesture in Real Time
inferredcites →https://doi.org/10.1007/s00779-012-0615-1openalex-snapshot
Non-manual cues in automatic sign language recognition
inferredcites →https://doi.org/10.1007/s10209-018-0622-8openalex-snapshot
Automatic translation of Arabic text-to-Arabic sign language
inferredcites →https://doi.org/10.1007/s10209-019-00695-6openalex-snapshot
A machine translation system from Arabic sign language to Arabic
inferredcites →https://doi.org/10.1007/s12046-015-0405-3openalex-snapshot
Nearest neighbour classification of Indian sign language gestures using kinect camera
inferredcites →https://doi.org/10.1016/j.asej.2016.10.013openalex-snapshot
Selfie video based continuous Indian sign language recognition system
inferredcites →https://doi.org/10.1016/j.asoc.2009.01.002openalex-snapshot
Video-based signer-independent Arabic sign language recognition using hidden Markov models
inferredcites →https://doi.org/10.1016/j.cola.2019.04.002openalex-snapshot
Multi modal spatio temporal co-trained CNNs with single modal testing on RGB–D based sign language gesture recognition
inferredcites →https://doi.org/10.1016/j.cviu.2015.08.004openalex-snapshot
Recent methods and databases in vision-based hand gesture recognition: A review
inferredcites →https://doi.org/10.1016/j.ins.2017.10.046openalex-snapshot
Independent Bayesian classifier combination based sign language recognition using facial expression
inferredcites →https://doi.org/10.1016/j.jksuci.2014.03.011openalex-snapshot
SignsWorld Atlas; a benchmark Arabic Sign Language database
inferredcites →https://doi.org/10.1016/j.procs.2017.10.087openalex-snapshot
Transform-based Arabic sign language recognition
inferredcites →https://doi.org/10.1016/j.scico.2016.05.009openalex-snapshot
Kin2. A Kinect 2 toolbox for MATLAB
inferredcites →https://doi.org/10.1049/cp.2019.0188openalex-snapshot
Using Gabor Filter Bank with Downsampling and SVM for Visual Sign Language Alphabet Recognition
inferredcites →https://doi.org/10.1109/afgr.2008.4813472openalex-snapshot
The significance of facial features for automatic sign language recognition
inferredcites →https://doi.org/10.1109/cvpr.2012.6247928openalex-snapshot
Sign Language Recognition using Sequential Pattern Trees
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00812openalex-snapshot
Neural Sign Language Translation
inferredcites →https://doi.org/10.1109/hsi.2013.6577826openalex-snapshot
Polish sign language words recognition with Kinect
inferredcites →https://doi.org/10.1109/icces.2014.7030980openalex-snapshot
Facial expressions recognition for arabic sign language translation
inferredcites →https://doi.org/10.1109/iced.2008.4786633openalex-snapshot
Extraction of head and hand gesture features for recognition of sign language
inferredcites →https://doi.org/10.1109/icias.2007.4658457openalex-snapshot
Arabic sign language recognition in user-independent mode
inferredcites →https://doi.org/10.1109/icmi.2002.1166987openalex-snapshot
Purdue RVL-SLLL ASL database for automatic recognition of American Sign Language
inferredcites →https://doi.org/10.1109/icosp.2010.5655761openalex-snapshot
Correlation analysis of facial features and sign gestures
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093512openalex-snapshot
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
inferredcites →https://doi.org/10.1142/9789814273398_0021openalex-snapshot
FUSION OF MANUAL AND NON-MANUAL INFORMATION IN AMERICAN SIGN LANGUAGE RECOGNITION
inferredcites →https://doi.org/10.1145/1647314.1647387openalex-snapshot
A framework for continuous multimodal sign language recognition
inferredcites →https://doi.org/10.1590/0034-7167-2020-0291openalex-snapshot
Information about COVID-19 for deaf people: an analysis of Youtube videos in Brazilian sign language
inferredcites →https://doi.org/10.3390/rs71013070openalex-snapshot
Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling
inferredcites →https://doi.org/10.5120/13037-0260openalex-snapshot
A Review on Indian Sign Language Recognition
inferredcites →https://doi.org/10.5281/zenodo.52481openalex-snapshot
A Real Time System For Dynamic Hand Gesture Recognition With A Depth Sensor
inferredcites →https://doi.org/10.5772/60091openalex-snapshot
Recognition of Hand Gestures Observed by Depth Cameras
inferredcites →https://doi.org/10.63317/2pb5x5mbf3yxopenalex-snapshot
BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/eng2.70142openalex-snapshot
MediaPipe ‐ LSTM ‐Enhanced Framework for Real‐Time Dynamic Sign Language Recognition in Inclusive Communication Systems
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A Sign Language Recognition System Using Artificial Intelligence
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PakSign: Advancing dynamic Pakistani Sign Language Recognition with a novel skeleton-based dataset and graph-enhanced architectures
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Advancements and challenges in vision-based sign language recognition: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103774openalex-snapshot
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects
inferred← citeshttps://doi.org/10.1016/j.jer.2025.07.006openalex-snapshot
Ensemble transformer-based word-level sign language recognition with multi-modal input fusion
inferred← citeshttps://doi.org/10.1038/s41598-025-03560-0openalex-snapshot
Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition
inferred← citeshttps://doi.org/10.1063/5.0171428openalex-snapshot
Interpreting arabic sign alphabet by using the deep learning
inferred← citeshttps://doi.org/10.1109/access.2022.3151362openalex-snapshot
Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/access.2022.3204110openalex-snapshot
An Efficient Two-Stream Network for Isolated Sign Language Recognition Using Accumulative Video Motion
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Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/access.2023.3324040openalex-snapshot
JUMLA-QSL-22: A Novel Qatari Sign Language Continuous Dataset
inferred← citeshttps://doi.org/10.1109/access.2023.3332250openalex-snapshot
Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
inferred← citeshttps://doi.org/10.1109/access.2024.3457692openalex-snapshot
Advancements in Sign Language Recognition: A Comprehensive Review and Future Prospects
inferred← citeshttps://doi.org/10.1109/access.2024.3485131openalex-snapshot
Motion Images With Positioning Information and Deep Learning for Continuous Arabic Sign Language Recognition in Signer Dependent and Independent Modes
inferred← citeshttps://doi.org/10.1109/access.2025.3560779openalex-snapshot
A Study on the STGCN-LSTM Sign Language Recognition Model Based on Phonological Features of Sign Language
inferred← citeshttps://doi.org/10.1109/aiei69164.2026.11497179openalex-snapshot
Multi-Modal ISL Translation Framework with Semantic Sentence Completion
inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042720openalex-snapshot
ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icce63647.2025.10930217openalex-snapshot
Enhancing Human-Computer Interaction: An Accurate Video-Based American Sign Language Translation Model Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icdcece60827.2024.10548470openalex-snapshot
Multimodal Deep Neural Networks for Robust Sign Language Translation in Real-World Environments
inferred← citeshttps://doi.org/10.1109/icmcsi61536.2024.00047openalex-snapshot
Survey on Hand Gestures Recognition for Sign Translation using Artificial Intelligence
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A Cloud-Based 3D Digital Twin for Arabic Sign Language Alphabet Using Machine Learning Object Detection Model
inferred← citeshttps://doi.org/10.1109/iwcmc65282.2025.11059589openalex-snapshot
RAFID: A Hybrid ResNet50-ViT Framework for Arabic Sign Language Recognition in Healthcare
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EarHear: Enabling the Deaf to Hear the World via Smartphone Speakers and Microphones
inferred← citeshttps://doi.org/10.1145/3584984openalex-snapshot
Isolated Arabic Sign Language Recognition Using a Transformer-based Model and Landmark Keypoints
inferred← citeshttps://doi.org/10.1145/3594806.3596525openalex-snapshot
JUMLA-QSL-22: Creation and Annotation of a Qatari Sign Language Corpus for Sign Language Processing
inferred← citeshttps://doi.org/10.11591/ijece.v14i4.pp4759-4774openalex-snapshot
Design a smart platform translating Arabic sign language to English language
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Real-time Macedonian Sign Language Recognition System by using Transfer Learning
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Manual and non-manual sign language recognition framework using hybrid deep learning techniques
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Recent Advances on Deep Learning for Sign Language Recognition
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Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition
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Adaptive Sign Language Recognition for Deaf Users: Integrating Markov Chains with Niching Genetic Algorithm
inferred← citeshttps://doi.org/10.3390/app132111625openalex-snapshot
Vision Transformers and Transfer Learning Approaches for Arabic Sign Language Recognition
inferred← citeshttps://doi.org/10.3390/bdcc9110281openalex-snapshot
Hybrid Deep Learning Models for Arabic Sign Language Recognition in Healthcare Applications
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Video-Based Sign Language Recognition via ResNet and LSTM Network
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A Comprehensive Review of Deep Learning Approaches for Video-Based Sign Language Recognition: Datasets, Challenges and Insights
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Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification
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Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
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Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review
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Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm
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Investigating Active Learning based on Dynamic Data Selection techniques for Image Classification
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Few-shot Learning for Sign Language Recognition with Embedding Propagation
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Automatic Arabic Sign Language Recognition: A Comprehensive and Critical Review of Methods, Datasets, Challenges, and Future Directions
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SignVLM: a pre-trained large video model for sign language recognition
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