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Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Framework for Recognizing the Simultaneous Aspects of American Sign Language
inferredcites →https://doi.org/10.1007/3-540-46616-9_17openalex-snapshot
HMM-Based Continuous Sign Language Recognition Using Stochastic Grammars
inferredcites →https://doi.org/10.1007/s10209-007-0104-xopenalex-snapshot
Recent developments in visual sign language recognition
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
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/10.1109/3477.485888openalex-snapshot
A dynamic gesture recognition system for the Korean sign language (KSL)
inferredcites →https://doi.org/10.1109/72.182690openalex-snapshot
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer
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.1998.671007openalex-snapshot
A real-time continuous gesture recognition system for sign language
inferredcites →https://doi.org/10.1109/afgr.2004.1301590openalex-snapshot
A new instrumented approach for translating American Sign Language into sound and text
inferredcites →https://doi.org/10.1109/cvpr.1999.786981openalex-snapshot
Shadow gestures: 3D hand pose estimation using a single camera
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2008.4587597openalex-snapshot
A discriminatively trained, multiscale, deformable part model
inferredcites →https://doi.org/10.1109/cvpr.2010.5540235openalex-snapshot
Modeling mutual context of object and human pose in human-object interaction activities
inferredcites →https://doi.org/10.1109/iccv.1999.791206openalex-snapshot
Parallel hidden Markov models for American sign language recognition
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2011.6126472openalex-snapshot
Discriminative figure-centric models for joint action localization and recognition
inferredcites →https://doi.org/10.1109/iccv.2011.6126534openalex-snapshot
In defense of soft-assignment coding
inferredcites →https://doi.org/10.1109/iccv.2013.42openalex-snapshot
Low-Rank Sparse Coding for Image Classification
inferredcites →https://doi.org/10.1109/iccvw.2009.5457654openalex-snapshot
Boosted Exemplar Learning for human action recognition
inferredcites →https://doi.org/10.1109/iccvw.2011.6130391openalex-snapshot
Real time hand pose estimation using depth sensors
inferredcites →https://doi.org/10.1109/icmi.2002.1166990openalex-snapshot
A multi-class pattern recognition system for practical finger spelling translation
inferredcites →https://doi.org/10.1109/icpr.2000.906112openalex-snapshot
Video-based continuous sign language recognition using statistical methods
inferredcites →https://doi.org/10.1109/icsmc.1997.625741openalex-snapshot
Adapting hidden Markov models for ASL recognition by using three-dimensional computer vision methods
inferredcites →https://doi.org/10.1109/iswc.2003.1241392openalex-snapshot
Using multiple sensors for mobile sign language recognition
inferredcites →https://doi.org/10.1109/mmul.2012.24openalex-snapshot
Microsoft Kinect Sensor and Its Effect
inferredcites →https://doi.org/10.1109/robio.2004.1521814openalex-snapshot
Real-time Vision-based Gesture Recognition for Human Robot Interaction
inferredcites →https://doi.org/10.1109/tcsvt.2011.2133090openalex-snapshot
Boosted Exemplar Learning for Action Recognition and Annotation
inferredcites →https://doi.org/10.1109/tcyb.2013.2265337openalex-snapshot
Discriminative Exemplar Coding for Sign Language Recognition With Kinect
inferredcites →https://doi.org/10.1109/tip.2012.2192742openalex-snapshot
Inductive Robust Principal Component Analysis
inferredcites →https://doi.org/10.1109/tmm.2012.2191944openalex-snapshot
A Generic Framework for Video Annotation via Semi-Supervised Learning
inferredcites →https://doi.org/10.1109/tpami.2002.1023803openalex-snapshot
Extraction of 2D motion trajectories and its application to hand gesture recognition
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1145/1027933.1027967openalex-snapshot
A vision-based sign language recognition system using tied-mixture density HMM
inferredcites →https://doi.org/10.1145/108844.108900openalex-snapshot
Gesture recognition using recurrent neural networks
inferredcites →https://doi.org/10.1145/1553374.1553408openalex-snapshot
Large margin training for hidden Markov models with partially observed states
inferredcites →https://doi.org/10.1145/1553374.1553523openalex-snapshot
Learning structural SVMs with latent variables
inferredcites →https://doi.org/10.1145/2070481.2070532openalex-snapshot
American sign language recognition with the kinect
inferredcites →https://doi.org/10.1145/2393347.2393433openalex-snapshot
Hi, magic closet, tell me what to wear!
inferredcites →https://doi.org/10.1145/958432.958458openalex-snapshot
Large vocabulary sign language recognition based on hierarchical decision trees
inferredcites →https://doi.org/10.1609/aaai.v25i1.7902openalex-snapshot
Size Adaptive Selection of Most Informative Features
inferredcites →https://doi.org/10.48550/arxiv.1301.6725openalex-snapshot
Loopy Belief Propagation for Approximate Inference: An Empirical Study
inferredcites →https://doi.org/10.5244/c.18.96openalex-snapshot
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Highly Flexible and Superelastic Graphene Nanofibrous Aerogels for Intelligent Sign Language
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A Serious Game for Learning Portuguese Sign Language - “iLearnPSL”
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Applying Machine Learning for American Sign Language Recognition: A Brief Survey
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Indian sign language recognition system using network deconvolution and spatial transformer network
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inferred← citeshttps://doi.org/10.1007/s11042-021-11595-4openalex-snapshot
Indian sign language alphabet recognition system using CNN with diffGrad optimizer and stochastic pooling
inferred← citeshttps://doi.org/10.1007/s11042-024-19068-0openalex-snapshot
Occlusion robust sign language recognition system for indian sign language using CNN and pose features
inferred← citeshttps://doi.org/10.1007/s11831-019-09384-2openalex-snapshot
Sign Language Recognition Systems: A Decade Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/s11831-025-10258-zopenalex-snapshot
Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103995openalex-snapshot
CG-Recognizer: A biosignal-based continuous gesture recognition system
inferred← citeshttps://doi.org/10.1016/j.eswa.2016.01.047openalex-snapshot
A feature covariance matrix with serial particle filter for isolated sign language recognition
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.jmst.2023.10.008openalex-snapshot
Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.06.012openalex-snapshot
A four dukkha state-space model for hand tracking
inferred← citeshttps://doi.org/10.1038/s41598-025-13625-9openalex-snapshot
Sign language recognition based on dual-channel star-attention convolutional neural network
inferred← citeshttps://doi.org/10.1063/5.0195305openalex-snapshot
Word-level arabic sign language recognition using millimeter wave radar and convolutional neural networks
inferred← citeshttps://doi.org/10.1108/ijicc-08-2022-0227openalex-snapshot
An approach based on deep learning for Indian sign language translation
inferred← citeshttps://doi.org/10.1109/access.2019.2925654openalex-snapshot
Multimodal Fusion Based on LSTM and a Couple Conditional Hidden Markov Model for Chinese Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/besc48373.2019.8963177openalex-snapshot
Sentence-Level Sign Language Recognition Using RF signals
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671665openalex-snapshot
Improving Sign Video Modeling Using Graph Neural Network
inferred← citeshttps://doi.org/10.1109/dsaa.2019.00035openalex-snapshot
Sign Language Recognition Analysis using Multimodal Data
inferred← citeshttps://doi.org/10.1109/dsaa49011.2020.00033openalex-snapshot
Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition
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FineHand: Learning Hand Shapes for American Sign Language Recognition
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Descriptor: A Word-Level Wi-Fi CSI-Based Deep Bangladeshi Sign Language Dataset (WiBaSL)
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A Deep Learning Approach for Analyzing Video and Skeletal Features in Sign Language Recognition
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American Sign Language Recognition Using RF Sensing
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Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition
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Data-driven development of Virtual Sign Language Communication Agents
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K-AirWrite: Real-Time Continuous Air Handwriting Recognition Using Kinect
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Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition
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Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition
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Enabling Real-time Sign Language Translation on Mobile Platforms with On-board Depth Cameras
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Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi
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Towards Robust Gesture Recognition by Characterizing the Sensing Quality of WiFi Signals
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Alabib-65: A Realistic Dataset for Algerian Sign Language Recognition
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The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
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Prototipo de intérprete de lengua de señas mexicana usando el control Leap Motion
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VTAN: A Novel Video Transformer Attention-Based Network for Dynamic Sign Language Recognition
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Recent Advances on Deep Learning for Sign Language Recognition
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American Sign Language Translation Using Wearable Inertial and Electromyography Sensors for Tracking Hand Movements and Facial Expressions
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A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors
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Recognition of Signed Expressions in an Experimental System Supporting Deaf Clients in the City Office
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