On the public citation graph

Sign Language Recognition Based on Position and Movement Using Multi-Stream HMM

https://doi.org/10.1109/isuc.2008.56

0 signed · 38 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/11427445_25openalex-snapshot

Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove

inferredcites →https://doi.org/10.1007/11788713_92openalex-snapshot

Automatic Synthesis of Training Data for Sign Language Recognition Using HMM

inferredcites →https://doi.org/10.1007/s00138-005-0003-1openalex-snapshot

Australian sign language recognition

inferredcites →https://doi.org/10.1016/j.eswa.2007.10.038openalex-snapshot

Taiwan sign language (TSL) recognition based on 3D data and neural networks

inferredcites →https://doi.org/10.1109/tsmca.2004.824852openalex-snapshot

Large vocabulary sign language recognition based on fuzzy decision trees

inferredcites →https://doi.org/10.1145/1168987.1169002openalex-snapshot

American sign language recognition in game development for deaf children

inferredcites →https://doi.org/10.21437/interspeech.2007-668openalex-snapshot

Speech recognition techniques for a sign language recognition system

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-642-32063-7_31openalex-snapshot

Software-Based Malaysian Sign Language Recognition

inferred← citeshttps://doi.org/10.1007/978-3-642-35467-0_8openalex-snapshot

A New System for Automatic Recognition of Italian Sign Language

inferred← citeshttps://doi.org/10.1007/978-3-642-39188-0_59openalex-snapshot

Subunit Modeling for Japanese Sign Language Recognition Based on Phonetically Depend Multi-stream Hidden Markov Models

inferred← citeshttps://doi.org/10.1007/978-981-99-6586-1_39openalex-snapshot

Preeminent Sign Language System by Employing Mining Techniques

inferred← citeshttps://doi.org/10.1007/s10015-011-0895-yopenalex-snapshot

A playmate robot system for playing the rock-paper-scissors game with humans

inferred← citeshttps://doi.org/10.1007/s10044-014-0400-zopenalex-snapshot

Signer independent isolated Italian sign recognition based on hidden Markov models

inferred← citeshttps://doi.org/10.1007/s10462-011-9292-0openalex-snapshot

Hidden Markov model for human to computer interaction: a study on human hand gesture recognition

inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200723openalex-snapshot

Transformers for sign language processing: A survey of spatio-temporal modeling approaches, challenges, and research gaps

inferred← citeshttps://doi.org/10.1109/access.2024.3398806openalex-snapshot

Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges

inferred← citeshttps://doi.org/10.1109/acpr.2011.6166631openalex-snapshot

Vision-based continuous sign language recognition using product HMM

inferred← citeshttps://doi.org/10.1109/atc.2014.7043434openalex-snapshot

Modeling dynamic hand gesture based on geometric features

inferred← citeshttps://doi.org/10.1109/atsip.2017.8075561openalex-snapshot

Automatic sign language recognition: A survey

inferred← citeshttps://doi.org/10.1109/hnicem60674.2023.10589260openalex-snapshot

Gesture Translation Device Using Flex Sensors, Accelerometer and Gyroscope with Cloud-Based Mobile Application

inferred← citeshttps://doi.org/10.1109/ic3i56241.2022.10073000openalex-snapshot

A review on Artificial Intelligence based Sign Language Recognition Techniques

inferred← citeshttps://doi.org/10.1109/icaicta.2014.7005918openalex-snapshot

Sign language word recognition using via-point information and correlation of they bimanual movements

inferred← citeshttps://doi.org/10.1109/icarcv.2014.7064401openalex-snapshot

Geometry-based static hand gesture recognition using support vector machine

inferred← citeshttps://doi.org/10.1109/icccnt.2013.6726505openalex-snapshot

Hand gesture to speech conversion using Matlab

inferred← citeshttps://doi.org/10.1109/icip.2015.7351416openalex-snapshot

Semantics constrained dictionary learning for signer-independent sign language recognition

inferred← citeshttps://doi.org/10.1109/icpr.2010.1110openalex-snapshot

A Vision-Based Taiwanese Sign Language Recognition

inferred← citeshttps://doi.org/10.1109/nbis.2011.60openalex-snapshot

A Web-Based Sign Language Translator Using 3D Video Processing

inferred← citeshttps://doi.org/10.1109/ssst.2011.5753805openalex-snapshot

Real-time sign language recognition based on neural network architecture

inferred← citeshttps://doi.org/10.1109/tgrs.2010.2090886openalex-snapshot

Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models

inferred← citeshttps://doi.org/10.1109/time-e.2015.7389747openalex-snapshot

A heuristic Hidden Markov Model to recognize inflectional words in sign system for Indonesian language known as SIBI (Sistem Isyarat Bahasa Indonesia)

inferred← citeshttps://doi.org/10.1186/1687-6180-2013-40openalex-snapshot

Multi-stream continuous hidden Markov models with application to landmine detection

inferred← citeshttps://doi.org/10.25148/etd.fi12110703openalex-snapshot

Field Programmable Gate Array Based Target Detection and Gesture Recognition

inferred← citeshttps://doi.org/10.3390/technologies12090152openalex-snapshot

Real-Time Machine Learning for Accurate Mexican Sign Language Identification: A Distal Phalanges Approach

inferred← citeshttps://doi.org/10.34131/msf.21.3.82-99openalex-snapshot

Approaches to Automatic Gesture Recognition: Hardware and Methods Overview.

inferred← citeshttps://doi.org/10.35940/ijrte.b1318.0982s1119openalex-snapshot

Interpretation of Formal Semantics from Hand Gesture to Text using Proficient Contour Tracing Technique

inferred← citeshttps://doi.org/10.47750/pnr.2022.13.s01.126openalex-snapshot

Real time sign language detection system using deep learning techniques

inferred← citeshttps://doi.org/10.48550/arxiv.2008.09918openalex-snapshot

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

inferred← citeshttps://doi.org/10.5121/ijcsit.2012.4115openalex-snapshot

SignsWorld: Deeping into the Silence World and Hearing Its Signs (State of the Art)

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.