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Recognition of Indian Sign Language in Live Video

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What this work says

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

inferredcites →https://doi.org/10.1007/978-94-015-8935-2_10openalex-snapshot
Real-Time American Sign Language Recognition from Video Using Hidden Markov Models
inferredcites →https://doi.org/10.1109/afgr.1998.671007openalex-snapshot
A real-time continuous gesture recognition system for sign language
inferredcites →https://doi.org/10.1109/aim.2012.6266025openalex-snapshot
An encoding and identification approach for the static 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/cvprw.2012.6239187openalex-snapshot
Enhanced continuous sign language recognition using PCA and neural network features
inferredcites →https://doi.org/10.1109/iccci.2012.6158807openalex-snapshot
Hand gesture recognition for Indian Sign Language
inferredcites →https://doi.org/10.1109/icpr.2010.1110openalex-snapshot
A Vision-Based Taiwanese Sign Language Recognition
inferredcites →https://doi.org/10.1109/icsipa.2011.6144163openalex-snapshot
Hand pose identification from monocular image for sign language recognition
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/isda.2010.5687057openalex-snapshot
Ethiopian sign language recognition using Artificial Neural Network
inferredcites →https://doi.org/10.1109/iswc.2003.1241392openalex-snapshot
Using multiple sensors for mobile 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/10.48550/arxiv.1306.2599openalex-snapshot
Hand Gesture Recognition Based on Karhunen-Loeve Transform

What points at this work

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

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Recognition of Indian Sign Language Alphabets for Hearing and Speech Impaired People using Deep Learning
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A Modern Approach for Sign Language Interpretation Using Convolutional Neural Network
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Introduction to Biometrics and Special Emphasis on Myanmar Sign Language Recognition
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Vision Based Deep Learning Approach for Dynamic Indian Sign Language Recognition in Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-031-38296-3_9openalex-snapshot
A Comprehensive Study on Feature Extraction Techniques for Indian Sign Language Recognition System
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A Media-Pipe Integrated Deep Learning Model for ISL (Alphabet) Recognition and Converting Text to Sound with Video Input
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Hand Gesture Recognition for Sign Language: A Skeleton Approach
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A Recognition Method of Hand Gesture with CNN-SVM Model
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CNN-Based Real-Time Indian Sign Language Recognition System
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Feature Extraction Technique for Vision-Based Indian Sign Language Recognition System: A Review
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Application of Deep Learning Techniques on Sign Language Recognition—A Survey
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Smart Tutoring System for the Specially Challenged Children
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A Deep Learning Framework for Real-Time Indian Sign Language Gesture Recognition and Translation to Text and Audio
inferred← citeshttps://doi.org/10.1007/978-981-19-3951-8_2openalex-snapshot
Review of Indian Dynamic Sign Language Recognition System
inferred← citeshttps://doi.org/10.1007/978-981-19-6631-6_64openalex-snapshot
Real-Time Hand Gesture Recognition Using Indian Sign Language
inferred← citeshttps://doi.org/10.1007/978-981-33-6981-8_55openalex-snapshot
Comparison of Various Classifiers for Indian Sign Language Recognition Using State of the Art Features
inferred← citeshttps://doi.org/10.1007/978-981-95-7241-0_28openalex-snapshot
Gujarati Sign Language Character Recognition Using Neural Network and Multi-class Support Vector Machine Classifiers
inferred← citeshttps://doi.org/10.1007/978-981-96-9983-4_7openalex-snapshot
SignEase: Enhancing Accessibility Through Gesture and Sign Language
inferred← citeshttps://doi.org/10.1007/978-981-97-5146-4_31openalex-snapshot
A Comparative Analysis of Sign Language Recognition Approaches Across Varied Sign Languages
inferred← citeshttps://doi.org/10.1007/978-981-97-7384-8_43openalex-snapshot
Gesture Recognition of Indian Sign Language Using Hybrid CNN-SVM Classifier
inferred← citeshttps://doi.org/10.1007/978-981-97-8422-6_29openalex-snapshot
Real-Time Sign Language Recognition System for Physically Challenged Community Using Deep Learning Technique
inferred← citeshttps://doi.org/10.1007/978-981-97-8631-2_2openalex-snapshot
Webcam-Based Real-Time Indian Sign Language Recognition for Inclusive Communication
inferred← citeshttps://doi.org/10.1007/978-981-99-0838-7_11openalex-snapshot
Classification of ISL Using Pose and Object Detection-Based Techniques
inferred← citeshttps://doi.org/10.1007/s00521-016-2525-zopenalex-snapshot
Dynamic hand gesture recognition using vision-based approach for human–computer interaction
inferred← citeshttps://doi.org/10.1007/s11042-022-12768-5openalex-snapshot
Ethiopian sign language recognition using deep convolutional neural network
inferred← citeshttps://doi.org/10.1007/s12369-019-00609-9openalex-snapshot
Sign Recognition System for an Assistive Robot Sign Tutor for Children
inferred← citeshttps://doi.org/10.1016/j.array.2022.100141openalex-snapshot
Indian Sign Language recognition system using SURF with SVM and CNN
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Vision-based hand signal recognition in construction: A feasibility study
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A framework for live and cross platform fingerspelling recognition using modified shape matrix variants on depth silhouettes
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Effect of variation in gesticulation pattern in dynamic hand gesture recognition system
inferred← citeshttps://doi.org/10.1049/iet-cvi.2017.0394openalex-snapshot
DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset
inferred← citeshttps://doi.org/10.1109/accai53970.2022.9752580openalex-snapshot
Sign Language Recognition using Sensor and Vision Based Approach
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/aimv53313.2021.9670933openalex-snapshot
Indian Sign Language Recognition using Deep Learning
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Static hand gesture recognition for vietnamese sign language (VSL) using principle components analysis
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Assistive aids for the disabled: Past, present and future
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Development of full duplex intelligent communication system for deaf and dumb people
inferred← citeshttps://doi.org/10.1109/ctceec.2017.8454988openalex-snapshot
Machine Learning Techniques for Indian Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/i2ct61223.2024.10543595openalex-snapshot
Enabling Communication Strategies: Indian Alpha-Numeric Sign Gesture Recognition
inferred← citeshttps://doi.org/10.1109/iac.2018.8780485openalex-snapshot
The Generalized Learning Vector Quantization Model to Recognize Indonesian Sign Language (BISINDO)
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Effective Recognition System of American Sign Language Alphabets using Machine Learning Classifiers, ANN and CNN
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Optimal Sign language recognition employing multi-layer CNN
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Design and analyze the structure based on deep belief network for gesture recognition
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SIGN-UNITE ASL Detection using ML for Deaf-Mute People Communication
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Automated Indian Sign Language Recognition System Using LSTM models
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Vision based static hand gesture recognition techniques
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Dynamic Hand Gesture Recognition System for Kurdish Sign Language Using Two Lines of Features
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