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Chinese sign language recognition with adaptive HMM

https://doi.org/10.1109/icme.2016.7552950

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-16634-6_18openalex-snapshot

Curve Matching from the View of Manifold for Sign Language Recognition

inferredcites →https://doi.org/10.1007/978-3-319-27671-7_58openalex-snapshot

Sign Language Recognition Based on Trajectory Modeling with HMMs

inferredcites →https://doi.org/10.1007/978-3-319-57021-1_3openalex-snapshot

Sign Language Recognition Using Sub-units

inferredcites →https://doi.org/10.1109/34.993558openalex-snapshot

Shape matching and object recognition using shape contexts

inferredcites →https://doi.org/10.1109/chinasip.2015.7230384openalex-snapshot

Sign language recognition using real-sense

inferredcites →https://doi.org/10.1109/chinasip.2015.7230460openalex-snapshot

A new system for Chinese sign language recognition

inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot

Histograms of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/cvpr.2012.6247928openalex-snapshot

Sign Language Recognition using Sequential Pattern Trees

inferredcites →https://doi.org/10.1109/fg.2015.7163092openalex-snapshot

Fast sign language recognition benefited from low rank approximation

inferredcites →https://doi.org/10.1109/icip.2013.6738863openalex-snapshot

Latent support vector machine for sign language recognition with Kinect

inferredcites →https://doi.org/10.1109/icme.2015.7177428openalex-snapshot

Sign Language Recognition using 3D convolutional neural networks

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/10.1145/1294211.1294238openalex-snapshot

Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes

inferredcites →https://doi.org/10.1145/1873951.1874019openalex-snapshot

Spatial coding for large scale partial-duplicate web image search

inferredcites →https://doi.org/10.1145/2398356.2398381openalex-snapshot

Real-time human pose recognition in parts from single depth images

inferredcites →https://doi.org/10.1145/2632856.2632931openalex-snapshot

A Threshold-based HMM-DTW Approach for Continuous Sign Language Recognition

inferredcites →https://doi.org/10.1145/2735952openalex-snapshot

A Real-Time Hand Posture Recognition System Using Deep Neural Networks

inferredcites →https://doi.org/10.5555/2503308.2503313openalex-snapshot

Sign language recognition using sub-units

What points at this work

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

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Multi-Modal Multi-Channel American Sign Language Recognition

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Frame-Wise Graph Contextual Learning for Continuous Sign Language Recognition

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Sign Language Based ATM Accessing System for the Visually Impaired

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From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation

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Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment

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RETRACTED ARTICLE: Sign language : a systematic review on classification and recognition

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Fast and robust key frame extraction method for gesture video based on high-level feature representation

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Sign Language Recognition Systems: A Decade Systematic Literature Review

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Advancements in Machine Learning Techniques for Hand Gesture-Based Sign Language Recognition: A Comprehensive Review

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Action recognition method based on a novel keyframe extraction method and enhanced 3D convolutional neural network

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A Survey on Artificial Intelligence in Chinese Sign Language Recognition

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Visual feature segmentation with reinforcement learning for continuous sign language recognition

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Enhancing action recognition via dynamic cross-frame differential modeling

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Recognition and Classification of Dynamic Hand Gestures by a Wearable Data-Glove

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Developing an Offline and Real-Time Indian Sign Language Recognition System with Machine Learning and Deep Learning

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Common datasets in the field of gesture recognition

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A large corpus for the recognition of Greek Sign Language gestures

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Temporal signed gestures segmentation in an image sequence using deep reinforcement learning

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Real-time Bhutanese Sign Language digits recognition system using Convolutional Neural Network

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TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition

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Multi-View Bangla Sign Language Recognition: A New Word-Level Video Dataset

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Technical Approaches to Chinese Sign Language Processing: A Review

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Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space

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Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition

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GSR-Fusion: A Deep Multimodal Fusion Architecture for Robust Sign Language Recognition Using RGB, Skeleton, and Graph-Based Modalities

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SignSpeaker

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Dynamic Sign Language Recognition Based on CBAM with Autoencoder Time Series Neural Network

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Video-Based Sign Language Recognition Without Temporal Segmentation

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Conversion of Sign Language to Text

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Sign Language Recognition with CW Radar and Machine Learning

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Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition

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Dense Temporal Convolution Network for Sign Language Translation

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Turkish sign language recognition using fuzzy logic asisted ELM and CNN methods

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A Survey on Chinese Sign Language Recognition: From Traditional Methods to Artificial Intelligence

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Sign-to-Text Translation from Panamanian Sign Language to Spanish in Continuous Capture Mode with Deep Neural Networks

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Sign Language Translation: A Survey of Approaches and Techniques

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SST-Net: Spatiotemporal Collaborative Attention for Sign Language Recognition

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Video-Based Sign Language Recognition via ResNet and LSTM Network

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Modelling Sign Language with Encoder-Only Transformers and Human Pose Estimation Keypoint Data

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Recognition of Signed Expressions in an Experimental System Supporting Deaf Clients in the City Office

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Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network

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Artificial Intelligence Technologies for Sign Language

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Re-Evaluation Method by Index Finger Position in the Face Area Using Face Part Position Criterion for Sign Language Recognition

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Fusion of Multimodal Spatio-Temporal Features and 3D Deformable Convolution Based on Sign Language Recognition in Sensor Networks

inferred← citeshttps://doi.org/10.36948/ijfmr.2023.v05i05.6868openalex-snapshot

Sign Language Recognition utilizing LSTM and Mediapipe for Dynamic Gestures of ISL

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Missing Joint Point Repair of Sign Language Sample Skeleton Based on Conditional Generation Adversarial Networks

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A Machine Translation System from Indian Sign Language to English Text

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Sign Language Translation Systems

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BosphorusSign22k Sign Language Recognition Dataset

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Quantitative Survey of the State of the Art in Sign Language Recognition

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Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

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