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A Real-Time American Sign Language Recognition System using Convolutional Neural Network for Real Datasets

https://doi.org/10.18421/tem93-14
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-16178-5_32openalex-snapshot
ChaLearn Looking at People Challenge 2014: Dataset and Results
inferredcites →https://doi.org/10.1007/978-3-319-16178-5_40openalex-snapshot
Sign Language Recognition Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.patcog.2010.03.016openalex-snapshot
Hand gesture recognition based on dynamic Bayesian network framework
inferredcites →https://doi.org/10.1109/34.735811openalex-snapshot
Real-time American sign language recognition using desk and wearable computer based video
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/cvpr.2009.5204291openalex-snapshot
Automatic recognition of fingerspelled words in British Sign Language
inferredcites →https://doi.org/10.1109/cvprw.2009.5204291openalex-snapshot
Automatic recognition of fingerspelled words in British Sign Language
inferredcites →https://doi.org/10.1109/cvprw.2015.7301347openalex-snapshot
American Sign Language alphabet recognition using Microsoft Kinect
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/isda.2010.5687057openalex-snapshot
Ethiopian sign language recognition using Artificial Neural Network
inferredcites →https://doi.org/10.1109/wacv.2011.5711485openalex-snapshot
Combining RGB and ToF cameras for real-time 3D hand gesture interaction
inferredcites →https://doi.org/10.1145/2070481.2070532openalex-snapshot
American sign language recognition with the kinect
inferredcites →https://doi.org/10.1145/2735952openalex-snapshot
A Real-Time Hand Posture Recognition System Using Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1306.2599openalex-snapshot
Hand Gesture Recognition Based on Karhunen-Loeve Transform
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

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

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Real-Time Mexican Sign Language Interpretation Using CNN and HMM
inferred← citeshttps://doi.org/10.1007/978-3-030-90241-4_6openalex-snapshot
Towards Portuguese Sign Language Identification Using Deep Learning
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Unlocking the Power of Al: A Real-Time Translation of Sign Language to Text
inferred← citeshttps://doi.org/10.1007/978-3-031-91331-0_19openalex-snapshot
Bridging the Gap: Real-Time ASL Fingerspelling to Sentence Translation
inferred← citeshttps://doi.org/10.1007/978-981-95-0684-2_6openalex-snapshot
Real-Time Sign Language Recognition Using Deep Learning on Edge Devices: A Jetson Nano Implementation
inferred← citeshttps://doi.org/10.1007/978-981-97-8074-7_7openalex-snapshot
Real-Time Conversion for Sign-to-Text and Text-to-Speech Communication Using Machine Learning
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A Survey on Indian Sign Language Translation Using Artificial Intelligence
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Natural language processing via advanced recurrent neural networks for word isolated recognition to control a Mexican Sign Language tutoring virtual system
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A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
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Fostering inclusivity through effective communication: Real-time sign language to speech conversion system for the deaf and hard-of-hearing community
inferred← citeshttps://doi.org/10.1016/j.iswa.2021.200056openalex-snapshot
Machine learning methods for sign language recognition: A critical review and analysis
inferred← citeshttps://doi.org/10.1016/j.procs.2022.12.106openalex-snapshot
Sign language recognition system for communicating to people with disabilities
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An integrated mediapipe-optimized GRU model for Indian sign language recognition
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Deep fusion based transfer learning with bald eagle search algorithm for sign language recognition to assist individuals with hearing and speech impairments
inferred← citeshttps://doi.org/10.1063/5.0179287openalex-snapshot
Artificial intelligence based real time deciphering of British sign language
inferred← citeshttps://doi.org/10.1063/5.0262885openalex-snapshot
A unified communication system to bridge the gap for inclusive interaction among individuals with and without hearing and speaking abilities
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A Comprehensive Review of Recent Advances in Deep Neural Networks for Lipreading With Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/aibthings63359.2024.10863041openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/conit65521.2025.11167264openalex-snapshot
Retracted: Sign Language Detection Using Deep Learning
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ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications
inferred← citeshttps://doi.org/10.1109/etcc65847.2025.11108558openalex-snapshot
Video-Based Word-Level Indian Sign Language Translation to Text and Speech Using CNN-LSTM
inferred← citeshttps://doi.org/10.1109/iccci54379.2022.9740868openalex-snapshot
A Review on Real-Time Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307621openalex-snapshot
Intelligent Sign Language Recognition Enhancing Accessibility for the Deaf Community
inferred← citeshttps://doi.org/10.1109/iccpct61902.2024.10672721openalex-snapshot
Real-Time American Sign Language Gesture Recognition Using Transfer Learning
inferred← citeshttps://doi.org/10.1109/icears56392.2023.10084924openalex-snapshot
Sign Language Prediction using Machine Learning Techniques: A Review
inferred← citeshttps://doi.org/10.1109/iceast64767.2025.11088186openalex-snapshot
Efficient American Sign Language Recognition Using Resnet-50
inferred← citeshttps://doi.org/10.1109/iceca58529.2023.10395703openalex-snapshot
Performance Evaluation of Sign Recognition Protocol Using Hand Gesture Mechanism
inferred← citeshttps://doi.org/10.1109/icecocs55148.2022.9982822openalex-snapshot
Real-time Dynamic Sign Recognition using MediaPipe
inferred← citeshttps://doi.org/10.1109/iciss63372.2025.11076386openalex-snapshot
A Sign Language Recognition System for Understanding Actions of Speech-Impaired-Individuals
inferred← citeshttps://doi.org/10.1109/icmnwc60182.2023.10435809openalex-snapshot
Enhancing Communication with Gesture Recognition for People with Disabilities
inferred← citeshttps://doi.org/10.1109/icraset59632.2023.10420395openalex-snapshot
Empowering Communication: Harnessing CNN and Mediapipe for Sign Language Interpretation
inferred← citeshttps://doi.org/10.1109/iraset52964.2022.9738061openalex-snapshot
American Sign Language: Detection and Automatic Text Generation
inferred← citeshttps://doi.org/10.1109/iscsic54682.2021.00036openalex-snapshot
Sign to Speech Convolutional Neural Network-Based Filipino Sign Language Hand Gesture Recognition System
inferred← citeshttps://doi.org/10.1109/isncc58260.2023.10323814openalex-snapshot
Real-time Translation of American Sign Language into Text Using Machine Learning
inferred← citeshttps://doi.org/10.1109/mysurucon55714.2022.9972715openalex-snapshot
Sign Language Dynamic Gesture Recognition System Leveraging Deep Learning and Computer Vision
inferred← citeshttps://doi.org/10.1109/nelex69209.2026.11590542openalex-snapshot
Gesture-to-Text ASL Recognition using Landmark-based Classification: A Comparative Study of KNN and SVM
inferred← citeshttps://doi.org/10.1109/rmkmate59243.2023.10369046openalex-snapshot
Sign Language Recognition Using OpenCV and Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1142/s021984362640013xopenalex-snapshot
A Computer Vision Framework for Real-Time Continuous Sign Language Translation Using CNN–LSTM and Multimodal Body Movement Analysis
inferred← citeshttps://doi.org/10.1155/2022/1112169openalex-snapshot
A Generic Approach towards Amharic Sign Language Recognition
inferred← citeshttps://doi.org/10.11591/ijeecs.v24.i1.pp178-188openalex-snapshot
Static hand gesture recognition of Arabic sign language by using deep CNNs
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The Comparison of K-Nearest Neighbors and Random Forest Algorithm to Recognize Indonesian Sign Language in a Real-Time
inferred← citeshttps://doi.org/10.17576/jkukm-2023-35(2)-03openalex-snapshot
A Systematic Literature Review on Vision-Based Hand Gesture for Sign Language Translation
inferred← citeshttps://doi.org/10.20944/preprints202212.0478.v1openalex-snapshot
Implementing Computer Vision Techniques to Recognize American Sign Language (ASL) Hand Signals
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Hybrid Hand Sign Recognition Based on Electrical Impedance Tomography and Force Myography
inferred← citeshttps://doi.org/10.35940/ijese.i2584.12100924openalex-snapshot
CNN Algorithm with SIFT to Enhance the Arabic Sign Language Recognition
inferred← citeshttps://doi.org/10.36287/ijmsit.6.1.61openalex-snapshot
American Sign Language Recognition using YOLOv4 Method
inferred← citeshttps://doi.org/10.3991/ijoe.v18i01.27581openalex-snapshot
Dynamic Sign Language Recognition Based on Real-Time Videos
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Real-time sign language recognition system
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Iraqi Sign Language Translator system using Deep Learning
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