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Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network

https://doi.org/10.1145/3530989
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1 of the 48 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1007/s12652-020-02396-y (notice 2022-07-14).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/lnc3.326openalex-snapshot
The Phonological Organization of Sign Languages
inferredcites →https://doi.org/10.1007/978-3-030-96040-7_48openalex-snapshot
Sign Language Recognition System Using TensorFlow Object Detection API
inferredcites →https://doi.org/10.1007/978-3-319-38771-0_54openalex-snapshot
Indian Sign Language Recognition Using Optimized Neural Networks
inferredcites →https://doi.org/10.1007/978-981-15-6876-3_4openalex-snapshot
Feature Extraction Technique for Vision-Based Indian Sign Language Recognition System: A Review
inferredcites →https://doi.org/10.1007/s11042-019-08345-yopenalex-snapshot
An eight-layer convolutional neural network with stochastic pooling, batch normalization and dropout for fingerspelling recognition of Chinese sign language
inferredcites →https://doi.org/10.1007/s11042-019-7263-7openalex-snapshot
Isolated sign language recognition using Convolutional Neural Network hand modelling and Hand Energy Image
inferredcites →https://doi.org/10.1007/s11042-020-09048-5openalex-snapshot
Video-based isolated hand sign language recognition using a deep cascaded model
inferredcites →https://doi.org/10.1007/s12652-020-02396-yopenalex-snapshot
RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier
inferredcites →https://doi.org/10.1016/j.cviu.2015.09.013openalex-snapshot
Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
inferredcites →https://doi.org/10.1016/j.dib.2019.103777openalex-snapshot
ArASL: Arabic Alphabets Sign Language Dataset
inferredcites →https://doi.org/10.1016/j.ijleo.2017.11.158openalex-snapshot
Light invariant real-time robust hand gesture recognition
inferredcites →https://doi.org/10.1016/j.lingua.2005.04.006openalex-snapshot
Symmetry and dominance: A cross-linguistic study of signs and classifier constructions
inferredcites →https://doi.org/10.1088/1742-6596/1873/1/012009openalex-snapshot
Gesture Recognition Method Based on Attention Mechanism for Complex Background
inferredcites →https://doi.org/10.1088/1757-899x/1116/1/012126openalex-snapshot
Bayesian K-Nearest Neighbour based Redundancy Removal and Hand Gesture Recognition in Isolated Indian Sign Language without Materials Support
inferredcites →https://doi.org/10.1109/access.2020.2990699openalex-snapshot
DeepArSLR: A Novel Signer-Independent Deep Learning Framework for Isolated Arabic Sign Language Gestures Recognition
inferredcites →https://doi.org/10.1109/access.2024.3494878openalex-snapshot
Word-Level Sign Language Recognition With Multi-Stream Neural Networks Focusing on Local Regions and Skeletal Information
inferredcites →https://doi.org/10.1109/cvpr.2016.456openalex-snapshot
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00812openalex-snapshot
Neural Sign Language Translation
inferredcites →https://doi.org/10.1109/cvpr.2019.00429openalex-snapshot
Iterative Alignment Network for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00624openalex-snapshot
Transferring Cross-Domain Knowledge for Video Sign Language Recognition
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00380openalex-snapshot
Skeleton Aware Multi-modal Sign Language Recognition
inferredcites →https://doi.org/10.1109/iccvw.2017.361openalex-snapshot
Continuous Gesture Recognition with Hand-Oriented Spatiotemporal Feature
inferredcites →https://doi.org/10.1109/mmul.2009.17openalex-snapshot
SignTutor: An Interactive System for Sign Language Tutoring
inferredcites →https://doi.org/10.1109/ncm.2009.357openalex-snapshot
Sign Language Number Recognition
inferredcites →https://doi.org/10.1109/tmm.2013.2246148openalex-snapshot
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor
inferredcites →https://doi.org/10.1109/tmm.2014.2374357openalex-snapshot
Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera
inferredcites →https://doi.org/10.1109/tmm.2018.2889563openalex-snapshot
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
inferredcites →https://doi.org/10.1109/tmm.2019.2915032openalex-snapshot
A Novel Sign Language Recognition Framework Using Hierarchical Grassmann Covariance Matrix
inferredcites →https://doi.org/10.1109/tpami.2005.112openalex-snapshot
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
inferredcites →https://doi.org/10.1109/tpami.2019.2911077openalex-snapshot
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
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/10.1109/wacv48630.2021.00347openalex-snapshot
Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition
inferredcites →https://doi.org/10.1109/wacvw52041.2021.00008openalex-snapshot
Pose-based Sign Language Recognition using GCN and BERT
inferredcites →https://doi.org/10.1109/wacvw54805.2022.00024openalex-snapshot
Sign Pose-based Transformer for Word-level Sign Language Recognition
inferredcites →https://doi.org/10.1109/wispnet.2017.8299784openalex-snapshot
Spotting and recognition of hand gesture for Indian sign language recognition system with skin segmentation and SVM
inferredcites →https://doi.org/10.1145/3092743openalex-snapshot
Animation of Fingerspelled Words and Number Signs of the Sinhala Sign Language
inferredcites →https://doi.org/10.1145/3308561.3353774openalex-snapshot
Sign Language Recognition, Generation, and Translation
inferredcites →https://doi.org/10.1145/3357612openalex-snapshot
Word Reordering for Translation into Korean Sign Language Using Syntactically-guided Classification
inferredcites →https://doi.org/10.1145/3387632openalex-snapshot
Lipi Gnani
inferredcites →https://doi.org/10.1145/3423420openalex-snapshot
KArSL
inferredcites →https://doi.org/10.1353/sls.1989.0027openalex-snapshot
American Sign Language: The Phonological Base
inferredcites →https://doi.org/10.1609/aaai.v32i1.11903openalex-snapshot
Video-Based Sign Language Recognition Without Temporal Segmentation
inferredcites →https://doi.org/10.17212/2782-2001-2021-3-53-74openalex-snapshot
Recognition of Russian and Indian Sign Languages Based on Machine Learning
inferredcites →https://doi.org/10.35860/iarej.700564openalex-snapshot
Turkish sign language digits classification with CNN using different optimizers
inferredcites →https://doi.org/10.3991/ijoe.v16i05.13087openalex-snapshot
Arabic Sign Language Recognition through Deep Neural Networks Fine-Tuning
inferredcites →https://doi.org/10.5120/12174-7306openalex-snapshot
Recognition of Indian Sign Language in Live Video
inferredcites →https://doi.org/10.9781/ijimai.2020.04.002openalex-snapshot
Two-Stage Human Activity Recognition Using 2D-ConvNet.
inferredcites →https://doi.org/10.9781/ijimai.2021.08.008openalex-snapshot
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4668896openalex-extracted
Learning Alternating Wavelet Channel and Spatial Attention for Online Video-Based Indian Classical Dance Recognition
inferred← citeshttps://doi.org/10.1007/978-3-032-31216-7_43openalex-snapshot
Neurosign: A Real-Time CNN and OpenCV-Based Platform for Gesture-to Language Translation and Interactive Sign Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-9239-2_33openalex-snapshot
Survey and Comparative Study of Deep Learning Models for Indian Sign Language to Text Conversion
inferred← citeshttps://doi.org/10.1007/978-981-97-7616-0_27openalex-snapshot
Integrating Grey Wolf Optimizer with U-Net for Precision Retinal Vessel Segmentation in Fundus Images
inferred← citeshttps://doi.org/10.1007/978-981-99-9299-7_5openalex-snapshot
Development and Application of Russian MOOC System Based on Neural Network Algorithm
inferred← citeshttps://doi.org/10.1007/s00371-026-04665-xopenalex-snapshot
Video-based sign language recognition in the deep learning era: representations, temporal modelling, alignment, benchmarks, and open challenges
inferred← citeshttps://doi.org/10.1007/s10044-025-01529-3openalex-snapshot
Hierarchical Windowed Graph Attention Transformer Encoder and a Large Scale Dataset for Indian Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/s10772-023-10067-4openalex-snapshot
Robust and efficient keyword spotting using a bidirectional attention LSTM
inferred← citeshttps://doi.org/10.1007/s10791-025-09669-0openalex-snapshot
Cross-attention multi branch for Vietnamese sign language recognition: CrossViViT
inferred← citeshttps://doi.org/10.1007/s41870-024-02371-2openalex-snapshot
Alternating wavelet channel and spatial attention mechanism for online video-based Indian classical dance recognition
inferred← citeshttps://doi.org/10.1016/j.asej.2025.103383openalex-snapshot
A swin transformer-driven framework for gesture recognition to assist hearing impaired people by integrating deep learning with secretary bird optimization algorithm
inferred← citeshttps://doi.org/10.1016/j.cag.2024.104065openalex-snapshot
Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104212openalex-snapshot
A large corpus for the recognition of Greek Sign Language gestures
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109604openalex-snapshot
MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification
inferred← citeshttps://doi.org/10.1016/j.fraope.2025.100428openalex-snapshot
Real-time sign language gesture recognition for Women's safety using dynamic time warping and voting algorithms
inferred← citeshttps://doi.org/10.1016/j.specom.2025.103227openalex-snapshot
Exploiting Locality Sensitive Hashing - Clustering and gloss feature for sign language production
inferred← citeshttps://doi.org/10.1038/s41597-025-04986-xopenalex-snapshot
A large dataset covering the Chinese national sign language for dual-view isolated sign language recognition
inferred← citeshttps://doi.org/10.1038/s41598-024-64831-wopenalex-snapshot
Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation
inferred← citeshttps://doi.org/10.1038/s41598-025-06680-9openalex-snapshot
Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning
inferred← citeshttps://doi.org/10.1080/10400435.2025.2571782openalex-snapshot
AI-NLP powered assistive technology system for individuals with vocally and hearing impairments
inferred← citeshttps://doi.org/10.1109/access.2022.3233671openalex-snapshot
Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture
inferred← citeshttps://doi.org/10.1109/access.2023.3337514openalex-snapshot
Enabling Two-Way Communication of Deaf Using Saudi Sign Language
inferred← citeshttps://doi.org/10.1109/access.2023.3342076openalex-snapshot
Cnnformer: Transformer-Based Semantic Information Enhancement Framework for Behavior Recognition
inferred← citeshttps://doi.org/10.1109/access.2024.3354775openalex-snapshot
Joint Motion Affinity Maps (JMAM) and Their Impact on Deep Learning Models for 3D Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/access.2024.3372425openalex-snapshot
Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset
inferred← citeshttps://doi.org/10.1109/access.2024.3405341openalex-snapshot
Enhanced Weak Spatial Modeling Through CNN-Based Deep Sign Language Skeletal Feature Transformation
inferred← citeshttps://doi.org/10.1109/access.2024.3494878openalex-snapshot
Word-Level Sign Language Recognition With Multi-Stream Neural Networks Focusing on Local Regions and Skeletal Information
inferred← citeshttps://doi.org/10.1109/icdsns62112.2024.10691162openalex-snapshot
A Novel Approach for Sign Language Video Generation Using Deep Networks
inferred← citeshttps://doi.org/10.1109/icicnis64247.2024.10823126openalex-snapshot
SIGNEASE: AI-Driven American Sign Language Interpretation System
inferred← citeshttps://doi.org/10.1109/incos59338.2024.10527474openalex-snapshot
A Novel Approach for Photo-Realistic High Quality Sign Language Video Synthesis
inferred← citeshttps://doi.org/10.1109/mosicom59118.2023.10458731openalex-snapshot
SignSpeak: Exploring the Sign Language Communication Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/ncc68160.2026.11478936openalex-snapshot
SISN: Signer-Invariant Skeletal Normalization for Sign Language Production
inferred← citeshttps://doi.org/10.1109/rait65068.2025.11089142openalex-snapshot
Indian Sign Language Detection for Real-Time Translation using Machine Learning
inferred← citeshttps://doi.org/10.1109/tce.2023.3342163openalex-snapshot
Continuous Sign Language Recognition for Hearing-Impaired Consumer Communication via Self-Guidance Network
inferred← citeshttps://doi.org/10.1109/tetci.2024.3509500openalex-snapshot
MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition
inferred← citeshttps://doi.org/10.1145/3617370openalex-snapshot
Can Same-right-and-different-left Gestures Be Recognized with Only Right-hand Signals?
inferred← citeshttps://doi.org/10.1145/3643824openalex-snapshot
An Expert System for Indian Sign Language Recognition Using Spatial Attention–based Feature and Temporal Feature
inferred← citeshttps://doi.org/10.1155/2024/1487500openalex-snapshot
Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches
inferred← citeshttps://doi.org/10.1371/journal.pone.0320481openalex-snapshot
RETRACTED: Edge computing based english translation model using fuzzy semantic optimal control technique
inferred← citeshttps://doi.org/10.18063/fls.v5i1.1617openalex-snapshot
A comparative analysis of Indian sign language recognition using deep learning models
inferred← citeshttps://doi.org/10.2139/ssrn.6138950openalex-snapshot
Analysis of Vision Transformers for American Sign Language Recognition in Unconstrained Visual Conditions
inferred← citeshttps://doi.org/10.22399/ijcesen.1276openalex-snapshot
Machine Learning Approach For Indian Sign Language Recognition Utilizing Bert And Lstm Models
inferred← citeshttps://doi.org/10.2478/jsiot-2024-0006openalex-snapshot
Deep Learning for Sign Language Recognition: A Comparative Review
inferred← citeshttps://doi.org/10.32604/cmes.2023.045731openalex-snapshot
Recent Advances on Deep Learning for Sign Language Recognition
inferred← citeshttps://doi.org/10.3390/app152312622openalex-snapshot
Optimizing Sign Language Recognition Through a Tailored MobileNet Self-Attention Framework
inferred← citeshttps://doi.org/10.3390/info17020158openalex-snapshot
Dual-View Sign Language Recognition via Front-View Guided Feature Fusion for Automatic Sign Language Training
inferred← citeshttps://doi.org/10.3390/s24144613openalex-snapshot
Novel Wearable System to Recognize Sign Language in Real Time
inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24may273openalex-snapshot
Sign Language Recognition Using Machine Learning
inferred← citeshttps://doi.org/10.47164/ijngc.v16i1.1632openalex-snapshot
CNN Based Real Time Recognition of Hand Gestures for Indian Sign Language
inferred← citeshttps://doi.org/10.59313/jsr-a.1367212openalex-snapshot
Deep learning-based isolated sign language recognition: a novel approach to tackling communication barriers for individuals with hearing impairments
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