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Deepsign: Sign Language Detection and Recognition Using Deep Learning

https://doi.org/10.3390/electronics11111780

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What this work says

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

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Recognition of Isolated Indian Sign Language Gesture in Real Time

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CNN and Stacked LSTM Model for Indian Sign Language Recognition

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Sign Language Recognition Systems: A Decade Systematic Literature Review

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Detection and analysis of COVID-19 in medical images using deep learning techniques

inferredcites →https://doi.org/10.1080/02522667.2017.1372136openalex-snapshot

Interpretation of sign language into English using NLP techniques

inferredcites →https://doi.org/10.1109/access.2019.2904749openalex-snapshot

Dynamic Sign Language Recognition Based on Video Sequence With BLSTM-3D Residual Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00812openalex-snapshot

Neural Sign Language Translation

inferredcites →https://doi.org/10.1109/cvprw53098.2021.00380openalex-snapshot

Skeleton Aware Multi-modal Sign Language Recognition

inferredcites →https://doi.org/10.1109/icce-berlin50680.2020.9352194openalex-snapshot

Deep Learning Methods for Indian Sign Language Recognition

inferredcites →https://doi.org/10.1109/iccids.2019.8862125openalex-snapshot

Real-Time Recognition of Indian Sign Language

inferredcites →https://doi.org/10.1109/jsen.2019.2909837openalex-snapshot

A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion

inferredcites →https://doi.org/10.1109/ssst.2011.5753805openalex-snapshot

Real-time sign language recognition based on neural network architecture

inferredcites →https://doi.org/10.1109/tmm.2021.3070438openalex-snapshot

A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

inferredcites →https://doi.org/10.3390/s21175843openalex-snapshot

Artificial Intelligence Technologies for Sign Language

inferredcites →https://doi.org/10.3390/w11071387openalex-snapshot

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

inferredcites →https://doi.org/10.5815/ijigsp.2018.08.03openalex-snapshot

American Sign Language Recognition System: An Optimal Approach

What points at this work

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

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Sign Language Recognition System – A Review

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inferred← citeshttps://doi.org/10.1007/978-3-032-06677-0_31openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10209-024-01162-7openalex-snapshot

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IPGSL: An Intelligent Pattern Generation Method for Sign Language Recognition

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inferred← citeshttps://doi.org/10.1109/icisaa62385.2024.10828942openalex-snapshot

Enhanced Convolutional Neural Network for Sign Character Recognition with Mixed Pooling and Mish Activation Function

inferred← citeshttps://doi.org/10.1109/iciscn64258.2025.10934504openalex-snapshot

SignEase: Real-Time Translation of Indian Sign Language to Text using CNN Architecture

inferred← citeshttps://doi.org/10.1109/icitacee66165.2025.11233171openalex-snapshot

Classification of American Sign Language Using EfficientNETV2B0 Architecture

inferred← citeshttps://doi.org/10.1109/iciteics61368.2024.10625098openalex-snapshot

Real-Time Caption Generation for the American Sign Language Using YOLO and LSTM

inferred← citeshttps://doi.org/10.1109/ickecs65700.2025.11036019openalex-snapshot

American Sign Language Detection and Text to Speech Conversion -Towards Inclusivity

inferred← citeshttps://doi.org/10.1109/ickecs70176.2026.11527756openalex-snapshot

Emotion-Aware Multilingual Sign Language Interpretation Using Deep Learning

inferred← citeshttps://doi.org/10.1109/icmcsi61536.2024.00047openalex-snapshot

Survey on Hand Gestures Recognition for Sign Translation using Artificial Intelligence

inferred← citeshttps://doi.org/10.1109/icngcs64900.2025.11183410openalex-snapshot

NextGenConnect: Indian Sign Language Using 5-Layer CNN and MobileNetV2 Transfer Learning

inferred← citeshttps://doi.org/10.1109/icnwc60771.2024.10537426openalex-snapshot

Voice Assistant for Hearing and Speech-Impaired Individuals Using Web framework

inferred← citeshttps://doi.org/10.1109/icoici62503.2024.10696047openalex-snapshot

Sign Language Recognition Using Improved Seagull Optimization Algorithm with Deep Learning Model

inferred← citeshttps://doi.org/10.1109/iconscept57958.2023.10170218openalex-snapshot

An approach to Generation of sentences using Sign Language Detection

inferred← citeshttps://doi.org/10.1109/icpcsn65854.2025.11035680openalex-snapshot

AI-Powered Real-Time Speech-to-Sign Translation

inferred← citeshttps://doi.org/10.1109/icrais59684.2023.10367076openalex-snapshot

Long Short Term Memory Based Sign Language Detection System

inferred← citeshttps://doi.org/10.1109/icses63445.2024.10763000openalex-snapshot

Predicting Indian Sign Language Gestures Using Deep Learning and Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/icsit65336.2025.11293887openalex-snapshot

Sign Language and Hand Gesture Recognition System

inferred← citeshttps://doi.org/10.1109/icsit65336.2025.11294681openalex-snapshot

Voice Bridge: Sign Language Translation to Text

inferred← citeshttps://doi.org/10.1109/icstcc66753.2025.11240436openalex-snapshot

Sign language detection using deep learning

inferred← citeshttps://doi.org/10.1109/icstem61137.2024.10560764openalex-snapshot

Gesture Based Sign Language Recognition for Specially Challenged Using YOLOv5

inferred← citeshttps://doi.org/10.1109/icstsdg61998.2024.11026594openalex-snapshot

An Improved Artificial Intelligence Assisted Sign Language Recognition Methodology Using Modified Deep Learning Principle

inferred← citeshttps://doi.org/10.1109/icstsn61422.2024.10670880openalex-snapshot

Sign Language Detecting System Using Tensorflow Object Detection API

inferred← citeshttps://doi.org/10.1109/idciot67589.2026.11455891openalex-snapshot

IoT-Based Real-Time Gesture Talk System for Hand Sign Recognition in Speech and Hearing Impairments Using Cloud Computing

inferred← citeshttps://doi.org/10.1109/imcom69009.2026.11360851openalex-snapshot

Hand Keypoints as Feature in Hand Gesture Detection Using Concatenation Keypoint Transpose

inferred← citeshttps://doi.org/10.1109/incccs60947.2024.10592952openalex-snapshot

Bharatanatyam Mudra Recognition Using Deep Learning and Meta-Learning Techniques

inferred← citeshttps://doi.org/10.1109/incos59338.2024.10527540openalex-snapshot

Augmented Reality and Artificial Intelligence in Sign Language Expression

inferred← citeshttps://doi.org/10.1109/iscit63075.2024.10793685openalex-snapshot

Designing a User-Centric American Sign Language Translation System: Integrating Machine Learning with Design Thinking

inferred← citeshttps://doi.org/10.1109/ispcc66872.2025.11039399openalex-snapshot

Real-Time Sign Language Translator: Bridging Communication Barriers with Mobile Machine Learning

inferred← citeshttps://doi.org/10.1109/m2vip67511.2025.11165688openalex-snapshot

Advances and Challenges in Gesture Recognition and Sign Language Recognition: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/mc.2024.3514151openalex-snapshot

DeViTC: Deep-Vision Transformer to Recognize Originality of Currency

inferred← citeshttps://doi.org/10.1109/nelex59773.2023.10421383openalex-snapshot

Sign Language Recognition Through Video Frame Feature Extraction using Transfer Learning and Neural Networks

inferred← citeshttps://doi.org/10.1109/newcas57931.2023.10198199openalex-snapshot

American Sign Language Recognition System Using Wearable Sensors and Machine Learning

inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10927325openalex-snapshot

Towards Automated Interpretation of Selected Nigerian Sign Language Using Multiclass Classification

inferred← citeshttps://doi.org/10.1109/niles63360.2024.10753146openalex-snapshot

Comparative Study Between CNN and LSTM Approaches for Sign Language Recognition

inferred← citeshttps://doi.org/10.1109/ocit56763.2022.00051openalex-snapshot

Artificial Intelligence based Indian Sign Language Recognition with Accelerated Performance under HPC Environment

inferred← citeshttps://doi.org/10.1109/ocit59427.2023.10430539openalex-snapshot

Language Detection Using Machine Learning

inferred← citeshttps://doi.org/10.1109/ocit59427.2023.10430576openalex-snapshot

Recent works in Sign Language Recognition using deep learning approach - A Survey

inferred← citeshttps://doi.org/10.1109/pcems58491.2023.10136059openalex-snapshot

Indian Sign Language Recognition Using Classical And Machine Learning Techniques – A Review

inferred← citeshttps://doi.org/10.1109/peeic59336.2023.10450425openalex-snapshot

ISL Recognition of Emergency Words Using MediaPipe, CNN and LSTM

inferred← citeshttps://doi.org/10.1109/raeeucci67649.2026.11504912openalex-snapshot

Real-Time Multimodal Speech and Sign Language Translation System with Semantic and Intent Analysis Using YOLOv5

inferred← citeshttps://doi.org/10.1109/sceecs64059.2025.10940312openalex-snapshot

A Hybrid Approach to Sign Language Recognition Using MediaPipe and Machine Learning

inferred← citeshttps://doi.org/10.1109/scse59836.2023.10215039openalex-snapshot

Smart System to Support Hearing Impaired Students in Tamil

inferred← citeshttps://doi.org/10.1109/skima66621.2025.11155686openalex-snapshot

Emergency Care System using Deep Learning for People with Disabilities in Cambodia

inferred← citeshttps://doi.org/10.1109/slaai-icai63667.2024.10844963openalex-snapshot

Development of a Real-Time Hand Gesture Recognition System for Aid of Hearing-Impaired Communication Using Flex Sensors and Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/src65875.2025.11263734openalex-snapshot

Sign Language Recognition using Deep Learning with Media pipe Integration

inferred← citeshttps://doi.org/10.1109/stcr62650.2025.11020537openalex-snapshot

Performance Analysis of Sign Language Recognition using Deep Neural Network Architecture

inferred← citeshttps://doi.org/10.1109/stsiva66383.2025.11156537openalex-snapshot

Comparing Different Machine Learning Architectures for Classifying Medical Terms in Colombian Sign Language

inferred← citeshttps://doi.org/10.1109/vcip63160.2024.10849902openalex-snapshot

Lightweight Graph Convolutional Network Based on Multi-Head Residual Attention for Hand Point Classification

inferred← citeshttps://doi.org/10.1139/bcb-2023-0151openalex-snapshot

Attention-based deep learning framework to recognize diabetes disease from cellular retinal images

inferred← citeshttps://doi.org/10.1142/s0218126626502282openalex-snapshot

Multimodal Sign Language Generation Using Deep Learning and Hybrid Optimization-Based Framework

inferred← citeshttps://doi.org/10.1142/s0218348x24501317openalex-snapshot

AUTOMATED GESTURE RECOGNITION USING ARTIFICIAL RABBITS OPTIMIZATION WITH DEEP LEARNING FOR ASSISTING VISUALLY CHALLENGED PEOPLE

inferred← citeshttps://doi.org/10.1145/3596909openalex-snapshot

Alabib-65: A Realistic Dataset for Algerian Sign Language Recognition

inferred← citeshttps://doi.org/10.1145/3776574.3831189openalex-snapshot

M3CA: Multi-modal and Multi-view Fusion based on Multi-layer Cross Attention for Isolated Sign Language Recognition

inferred← citeshttps://doi.org/10.12785/ijcds/150116openalex-snapshot

A Detail Study of Sign Language Communication for Deaf-Mute to Normal Person

inferred← citeshttps://doi.org/10.14201/adcaij.31704openalex-snapshot

Generative Artificial Intelligence: Fundamentals

inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i2p107openalex-snapshot

Dynamic Indian Sign Language Recognition Based on Enhanced LSTM with Custom Attention Mechanism

inferred← citeshttps://doi.org/10.17010/ijcs/2025/v10/i3/175397openalex-snapshot

Conversion of Images to Indian Sign Language Using Object Detection

inferred← citeshttps://doi.org/10.17586/2226-1494-2024-24-2-241-248openalex-snapshot

One-shot: generating Vietnamese sign language data set

inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9.9510openalex-snapshot

Analysis of Vision based Techniques for the Translation of Indian Sign Language

inferred← citeshttps://doi.org/10.18421/tem123-35openalex-snapshot

Android-Based Application for Real-Time Indonesian Sign Language Recognition Using Convolutional Neural Network

inferred← citeshttps://doi.org/10.21015/vtse.v13i1.1818openalex-snapshot

An Efficient System for Urdu Sign Language Recognition using Support Vector Machine(SVM), Convolutional Neural Network (CNN), and Ensemble Machine Learning (EML)

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4210048/v1openalex-snapshot

Marathi Sign Language Recognition using MediaPipe and Deep Learning Algorithm

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7652580/v1openalex-snapshot

An End-to-End Bengali Speech-to-Sign Language Generation Framework Using Fine-Tuned Whisper ASR and Grapheme-Level Visual Mapping

inferred← citeshttps://doi.org/10.21608/ajst.2023.236375.1016openalex-snapshot

Signature Verification Based on Deep Learning

inferred← citeshttps://doi.org/10.21817/indjcse/2024/v15i2/241502016openalex-snapshot

INDIAN SIGN LANGUAGE RECOGNITION USING CNN WITH SPATIAL PYRAMID AND GLOBAL AVERAGE POOLING

inferred← citeshttps://doi.org/10.22214/ijraset.2023.57691openalex-snapshot

ASL Classification using Deep learning

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