On the public citation graph
A review on computational methods based automated sign language recognition system for hearing and speech impaired community
0 signed · 148 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.7230openalex-snapshot
Gesture recognition from RGB images using convolutional neural network‐attention based system
inferredcites →https://doi.org/10.1007/11427445_25openalex-snapshot
Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove
inferredcites →https://doi.org/10.1007/11492429_63openalex-snapshot
Robust Person-Independent Visual Sign Language Recognition
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/10.1007/978-3-030-37188-3_23openalex-snapshot
Real Time Static Gesture Detection Using Deep Learning
inferredcites →https://doi.org/10.1007/978-3-319-05951-8_57openalex-snapshot
Vision-Based Portuguese Sign Language Recognition System
inferredcites →https://doi.org/10.1007/978-3-319-57021-1_3openalex-snapshot
Sign Language Recognition Using Sub-units
inferredcites →https://doi.org/10.1007/978-3-319-93000-8_45openalex-snapshot
Sign Language Recognition Based on 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/978-981-10-8612-0_66openalex-snapshot
A Design Framework for Instrumenting Analytic Provenance for Problem-Solving Tasks
inferredcites →https://doi.org/10.1007/978-981-16-0275-7_7openalex-snapshot
AlexNet-CNN Based Feature Extraction and Classification of Multiclass ASL Hand Gestures
inferredcites →https://doi.org/10.1007/s11042-020-09829-yopenalex-snapshot
CNN based feature extraction and classification for sign language
inferredcites →https://doi.org/10.1007/s11042-022-12051-7openalex-snapshot
Efficient 3D CNNs with knowledge transfer for sign language recognition
inferredcites →https://doi.org/10.1016/c2017-0-02153-5openalex-snapshot
Feature Extraction and Image Processing for Computer Vision
inferredcites →https://doi.org/10.1016/j.asoc.2014.04.020openalex-snapshot
Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
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.compeleceng.2011.10.013openalex-snapshot
A signer-independent Arabic Sign Language recognition system using face detection, geometric features, and a Hidden Markov Model
inferredcites →https://doi.org/10.1016/j.datak.2022.102119openalex-snapshot
A constructive deep convolutional network model for analyzing video-to-image sequences
inferredcites →https://doi.org/10.1016/j.engappai.2014.03.002openalex-snapshot
Image skin segmentation based on multi-agent learning Bayesian and neural network
inferredcites →https://doi.org/10.1016/j.eswa.2010.08.056openalex-snapshot
Persian sign language (PSL) recognition using wavelet transform and neural networks
inferredcites →https://doi.org/10.1016/j.eswa.2014.05.024openalex-snapshot
Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors
inferredcites →https://doi.org/10.1016/j.eswa.2020.113794openalex-snapshot
Sign Language Recognition: A Deep Survey
inferredcites →https://doi.org/10.1016/j.eswa.2021.115276openalex-snapshot
An optimized Generative Adversarial Network based continuous sign language classification
inferredcites →https://doi.org/10.1016/j.imavis.2016.06.001openalex-snapshot
Comparing random forest approaches to segmenting and classifying gestures
inferredcites →https://doi.org/10.1016/j.jvcir.2013.12.019openalex-snapshot
User-independent system for sign language finger spelling recognition
inferredcites →https://doi.org/10.1016/j.neucom.2016.08.132openalex-snapshot
A multimodal framework for sensor based sign language recognition
inferredcites →https://doi.org/10.1016/j.neucom.2022.05.051openalex-snapshot
Full transformer network with masking future for word-level sign language recognition
inferredcites →https://doi.org/10.1016/j.neunet.2020.01.030openalex-snapshot
Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people
inferredcites →https://doi.org/10.1016/j.patcog.2004.04.008openalex-snapshot
A Chinese sign language recognition system based on SOFM/SRN/HMM
inferredcites →https://doi.org/10.1016/j.patcog.2006.06.010openalex-snapshot
A survey of skin-color modeling and detection methods
inferredcites →https://doi.org/10.1016/j.patcog.2010.01.004openalex-snapshot
On the use of graph parsing for recognition of isolated hand postures of Polish Sign Language
inferredcites →https://doi.org/10.1016/j.patcog.2010.08.007openalex-snapshot
Features extraction from hand images based on new detection operators
inferredcites →https://doi.org/10.1016/j.patcog.2013.09.014openalex-snapshot
Towards subject independent continuous sign language recognition: A segment and merge approach
inferredcites →https://doi.org/10.1016/j.patrec.2008.12.010openalex-snapshot
Modelling and segmenting subunits for sign language recognition based on hand motion analysis
inferredcites →https://doi.org/10.1016/j.patrec.2010.02.004openalex-snapshot
A person independent system for recognition of hand postures used in sign language
inferredcites →https://doi.org/10.1016/j.patrec.2010.11.013openalex-snapshot
Sign language recognition using a combination of new vision based features
inferredcites →https://doi.org/10.1016/j.patrec.2013.04.017openalex-snapshot
Thai sign language translation using Scale Invariant Feature Transform and Hidden Markov Models
inferredcites →https://doi.org/10.1016/j.patrec.2018.02.010openalex-snapshot
Deep learning for sensor-based activity recognition: A survey
inferredcites →https://doi.org/10.1016/j.procs.2015.08.056openalex-snapshot
Sign Language Recognition Using Facial Expression
inferredcites →https://doi.org/10.1016/j.procs.2018.07.259openalex-snapshot
Hand gesture recognition method based on HOG-LBP features for mobile devices
inferredcites →https://doi.org/10.1016/j.procs.2018.10.435openalex-snapshot
Real time conversion of sign language to speech and prediction of gestures using Artificial Neural Network
inferredcites →https://doi.org/10.1017/cbo9780511607479openalex-snapshot
Australian Sign Language: Auslan: An Introduction to Sign Language Linguistics
inferredcites →https://doi.org/10.1080/00401706.1999.10485949openalex-snapshot
Chemometrics: A Practical Guide
inferredcites →https://doi.org/10.1080/23311916.2016.1251730openalex-snapshot
A framework for sign gesture recognition using improved genetic algorithm and adaptive filter
inferredcites →https://doi.org/10.1093/deafed/eni001openalex-snapshot
Sign Language Structure: An Outline of the Visual Communication Systems of the American Deaf
inferredcites →https://doi.org/10.1093/ijl/ecv008openalex-snapshot
Building BSL SignBank: The Lemma Dilemma Revisited
inferredcites →https://doi.org/10.1109/access.2021.3078638openalex-snapshot
Boundary-Adaptive Encoder With Attention Method for Chinese Sign Language Recognition
inferredcites →https://doi.org/10.1109/access.2022.3151362openalex-snapshot
Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition
inferredcites →https://doi.org/10.1109/acct.2014.74openalex-snapshot
A Detailed Review of Feature Extraction in Image Processing Systems
inferredcites →https://doi.org/10.1109/acpr.2015.7486481openalex-snapshot
Real-time sign language fingerspelling recognition using convolutional neural networks from depth map
inferredcites →https://doi.org/10.1109/afgr.1998.670991openalex-snapshot
Color-based hands tracking system for sign language recognition
inferredcites →https://doi.org/10.1109/afgr.2002.1004188openalex-snapshot
An approach based on phonemes to large vocabulary Chinese sign language 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/cspa.2010.5545253openalex-snapshot
A phoneme based sign language recognition system using skin color segmentation
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00380openalex-snapshot
Skeleton Aware Multi-modal Sign Language Recognition
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00382openalex-snapshot
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
inferredcites →https://doi.org/10.1109/et2ecn.2012.6470093openalex-snapshot
Indian sign language recognition
inferredcites →https://doi.org/10.1109/fg.2011.5771448openalex-snapshot
Tracking body and hands for gesture recognition: NATOPS aircraft handling signals database
inferredcites →https://doi.org/10.1109/fg.2019.8756576openalex-snapshot
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/fg57933.2023.10042711openalex-snapshot
SignNet: Single Channel Sign Generation using Metric Embedded Learning
inferredcites →https://doi.org/10.1109/get.2016.7916786openalex-snapshot
Sign language recognition using image based hand gesture recognition techniques
inferredcites →https://doi.org/10.1109/ic3.2013.6612186openalex-snapshot
Sign language recognition using Microsoft Kinect
inferredcites →https://doi.org/10.1109/icaccct.2014.7019333openalex-snapshot
Real time Sign Language Recognition using PCA
inferredcites →https://doi.org/10.1109/icaccs.2019.8728411openalex-snapshot
Sign Language Recognition System Using Deep Neural Network
inferredcites →https://doi.org/10.1109/icassp.2019.8683257openalex-snapshot
Sign Language Detection “in the Wild” with Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746971openalex-snapshot
Spatio-Temporal Graph Convolutional Networks for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.1109/icbslp.2018.8554466openalex-snapshot
Ishara-Lipi: The First Complete MultipurposeOpen Access Dataset of Isolated Characters for Bangla Sign Language
inferredcites →https://doi.org/10.1109/iccci.2016.7479951openalex-snapshot
K-nearest correlated neighbor classification for Indian sign language gesture recognition using feature fusion
inferredcites →https://doi.org/10.1109/iccct.2010.5640434openalex-snapshot
Recognizing & interpreting Indian Sign Language gesture for Human Robot Interaction
inferredcites →https://doi.org/10.1109/icces.2013.6707157openalex-snapshot
Recent developments in sign language recognition systems
inferredcites →https://doi.org/10.1109/iccitechn.2014.7073150openalex-snapshot
Real-time computer vision-based Bengali Sign Language recognition
inferredcites →https://doi.org/10.1109/icct.2011.6157974openalex-snapshot
Real time Indian Sign Language Recognition System to aid deaf-dumb people
inferredcites →https://doi.org/10.1109/iccvw.2011.6130290openalex-snapshot
Spelling it out: Real-time ASL fingerspelling recognition
inferredcites →https://doi.org/10.1109/iccvw.2013.18openalex-snapshot
Real-Time Sign Language Recognition Using a Consumer Depth Camera
inferredcites →https://doi.org/10.1109/iciiecs.2015.7192910openalex-snapshot
Sign language recognition system
inferredcites →https://doi.org/10.1109/icip46576.2022.9897770openalex-snapshot
The Effect of Spatial and Temporal Occlusion on Word Level Sign Language Recognition
inferredcites →https://doi.org/10.1109/icme.2016.7552931openalex-snapshot
3D video super-resolution using fully convolutional neural networks
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/icmla.2014.110openalex-snapshot
American Sign Language Recognition Using Leap Motion Sensor
inferredcites →https://doi.org/10.1109/icoei.2018.8553954openalex-snapshot
Digit Recognition Using Machine Learning and Convolutional Neural Network
inferredcites →https://doi.org/10.1109/icpr.2016.7899656openalex-snapshot
Skin lesion segmentation in clinical images using deep learning
inferredcites →https://doi.org/10.1109/icsipa.2011.6144164openalex-snapshot
Max-pooling convolutional neural networks for vision-based hand gesture recognition
inferredcites →https://doi.org/10.1109/icsmc.1997.625742openalex-snapshot
Isolated sign language recognition using hidden Markov models
inferredcites →https://doi.org/10.1109/ict.2019.8798856openalex-snapshot
Deep Learning for American Sign Language Fingerspelling Recognition System
inferredcites →https://doi.org/10.1109/iembs.2004.1403464openalex-snapshot
Hand region extraction and gesture recognition from video stream with complex background through entropy analysis
inferredcites →https://doi.org/10.1109/imtc.2007.379311openalex-snapshot
Real-Time Malaysian Sign Language Translation using Colour Segmentation and Neural Network
inferredcites →https://doi.org/10.1109/iscv.1995.477012openalex-snapshot
Real-time American Sign Language recognition from video using hidden Markov models
inferredcites →https://doi.org/10.1109/isspa.2007.4555408openalex-snapshot
Video-based feature extraction techniques for isolated arabic sign language recognition
inferredcites →https://doi.org/10.1109/ivcnz.2009.5378426openalex-snapshot
Sign language analysis and recognition: A preliminary investigation
inferredcites →https://doi.org/10.1109/ssd.2014.6808906openalex-snapshot
A survey of image-based Arabic sign language recognition
inferredcites →https://doi.org/10.1109/thms.2014.2318280openalex-snapshot
Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition
inferredcites →https://doi.org/10.1109/tmm.2018.2856094openalex-snapshot
Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures
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.2022.3223260openalex-snapshot
Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework
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/tsmc.2015.2435702openalex-snapshot
Recognition System for Home-Service-Related Sign Language Using Entropy-Based $K$ -Means Algorithm and ABC-Based HMM
inferredcites →https://doi.org/10.1109/tsmca.2004.824852openalex-snapshot
Large vocabulary sign language recognition based on fuzzy decision trees
inferredcites →https://doi.org/10.1109/tsmca.2006.886347openalex-snapshot
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
inferredcites →https://doi.org/10.1109/tsmcb.2010.2065802openalex-snapshot
Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices
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/wacv51458.2022.00219openalex-snapshot
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network
inferredcites →https://doi.org/10.1134/s1054661812040062openalex-snapshot
Local Binary Pattern based features for sign language recognition
inferredcites →https://doi.org/10.1145/2674396.2674421openalex-snapshot
Sign language recognition using dynamic time warping and hand shape distance based on histogram of oriented gradient features
inferredcites →https://doi.org/10.1145/3264746.3264805openalex-snapshot
Sign language recognition with recurrent neural network using human keypoint detection
inferredcites →https://doi.org/10.1145/3279996.3280024openalex-snapshot
A comprehensive study on sign languages recognition systems using (SVM, KNN, CNN and ANN)
inferredcites →https://doi.org/10.1145/3503161.3547830openalex-snapshot
Gloss Semantic-Enhanced Network with Online Back-Translation for Sign Language Production
inferredcites →https://doi.org/10.13189/csit.2013.010305openalex-snapshot
Face and Hand Shape Segmentation Using Statistical Skin Detection for Sign Language Recognition
inferredcites →https://doi.org/10.14569/ijacsa.2013.040228openalex-snapshot
Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
inferredcites →https://doi.org/10.1609/aaai.v32i1.11903openalex-snapshot
Video-Based Sign Language Recognition Without Temporal Segmentation
inferredcites →https://doi.org/10.1609/aaai.v32i1.12235openalex-snapshot
Hierarchical LSTM for Sign Language Translation
inferredcites →https://doi.org/10.17577/ijertv5is031036openalex-snapshot
A Review Paper on Sign Language Recognition System For Deaf And Dumb People using Image Processing
inferredcites →https://doi.org/10.2139/ssrn.3358187openalex-snapshot
Hand Sign to Bangla Speech: A Deep Learning in Vision Based System for Recognizing Hand Sign Digits and Generating Bangla Speech
inferredcites →https://doi.org/10.21437/interspeech.2007-668openalex-snapshot
Speech recognition techniques for a sign language recognition system
inferredcites →https://doi.org/10.21817/ijet/2017/v9i3/170903s030openalex-snapshot
Indian Sign Language Recognition System
inferredcites →https://doi.org/10.23919/acc.1984.4788427openalex-snapshot
Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
inferredcites →https://doi.org/10.3390/app9183790openalex-snapshot
Non-Touch Sign Word Recognition Based on Dynamic Hand Gesture Using Hybrid Segmentation and CNN Feature Fusion
inferredcites →https://doi.org/10.3390/e20110809openalex-snapshot
Multi-Modal Deep Hand Sign Language Recognition in Still Images Using Restricted Boltzmann Machine
inferredcites →https://doi.org/10.3390/s17020253openalex-snapshot
An Interactive Image Segmentation Method in Hand Gesture Recognition
inferredcites →https://doi.org/10.3390/s18072208openalex-snapshot
A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017
inferredcites →https://doi.org/10.3390/s21072437openalex-snapshot
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
inferredcites →https://doi.org/10.3758/brm.40.4.1079openalex-snapshot
The British Sign Language (BSL) norms for age of acquisition, familiarity, and iconicity
inferredcites →https://doi.org/10.4236/jsea.2016.94009openalex-snapshot
Hand Gesture Recognition Using Appearance Features Based on 3D Point Cloud
inferredcites →https://doi.org/10.4236/jsip.2012.33047openalex-snapshot
Real-Time Static Hand Gesture Recognition for American Sign Language (ASL) in Complex Background
inferredcites →https://doi.org/10.4249/scholarpedia.10491openalex-snapshot
Scale Invariant Feature Transform
inferredcites →https://doi.org/10.47750/pnr.2022.13.s03.070openalex-snapshot
Sign Language Recognition Using Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.2108.10059openalex-snapshot
ZS-SLR: Zero-Shot Sign Language Recognition from RGB-D Videos
inferredcites →https://doi.org/10.48550/arxiv.2211.00448openalex-snapshot
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.5121/ijcsa.2014.4207openalex-snapshot
Segmentation, Tracking and Feature Extraction for Indian Sign Language Recognition
inferredcites →https://doi.org/10.63317/4wzouow58zatopenalex-snapshot
Benchmark Databases for Video-Based Automatic Sign Language Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10462-024-10816-0openalex-snapshot
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109854openalex-snapshot
Artificial intelligence in sign language recognition: A comprehensive bibliometric and visual analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125929openalex-snapshot
A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.617openalex-snapshot
Khasi Sign Language Recognition using Google’s Mediapipe and Deep Learning Feedforward Neural Network Approach
inferred← citeshttps://doi.org/10.1016/j.procs.2026.01.104openalex-snapshot
Attention-Based LipNet Architectures for Robust Visual Speech Recognition in Multimodal Interfaces
inferred← citeshttps://doi.org/10.1049/ipr2.70000openalex-snapshot
An integrative survey on Indian sign language recognition and translation
inferred← citeshttps://doi.org/10.1109/access.2025.3529025openalex-snapshot
A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language
inferred← citeshttps://doi.org/10.1109/access.2025.3539081openalex-snapshot
Enhancing Accessibility Through Machine Learning: A Review on Visual and Hearing Impairment Technologies
inferred← citeshttps://doi.org/10.1109/aibthings63359.2024.10863041openalex-snapshot
Real-Time American Sign Language Recognition Using Machine Learning
inferred← citeshttps://doi.org/10.1109/dasa63652.2024.10836568openalex-snapshot
An Efficient Model for American Sign Language Recognition Using Deep-Neural Networks
inferred← citeshttps://doi.org/10.1109/icecet61485.2024.10698113openalex-snapshot
Deep Learning Methods of Dynamic Sign Language Translation: A Rapid Umbrella Review
inferred← citeshttps://doi.org/10.1109/icsadl65848.2025.10933085openalex-snapshot
Interactive Sign Language Learning System-A Comprehensive Application for Sign Language Alphabet and Word Recognition
inferred← citeshttps://doi.org/10.1109/tqcebt67648.2026.11680993openalex-snapshot
A Transformer Based Multimodal Framework for Continuous Sign Language Recognition and Text Translation
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01409105openalex-snapshot
Two Dimensional Deep CNN Model for Vision-based Fingerspelling Recognition System
inferred← citeshttps://doi.org/10.3390/app132212347openalex-snapshot
A Four-Stage Mahalanobis-Distance-Based Method for Hand Posture Recognition
inferred← citeshttps://doi.org/10.3390/bdcc9110281openalex-snapshot
Hybrid Deep Learning Models for Arabic Sign Language Recognition in Healthcare Applications
inferred← citeshttps://doi.org/10.3390/computers13040106openalex-snapshot
Cognitive Classifier of Hand Gesture Images for Automated Sign Language Recognition: Soft Robot Assistance Based on Neutrosophic Markov Chain Paradigm
inferred← citeshttps://doi.org/10.3390/technologies14060371openalex-snapshot
Sensor Fusion-Based Smart Glove for Deterministic Sign Language Recognition: An IoT-Enabled System
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.