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

https://doi.org/10.1007/11427445_25
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4615-1423-7_3openalex-snapshot
Recognizing Hand Gestures Using Motion Trajectories
inferredcites →https://doi.org/10.1109/34.784311openalex-snapshot
A learning-based prediction-and-verification segmentation scheme for hand sign image sequence
inferredcites →https://doi.org/10.1109/38.250916openalex-snapshot
A survey of glove-based input
inferredcites →https://doi.org/10.1109/5326.923274openalex-snapshot
Gesture-based interaction and communication: automated classification of hand gesture contours
inferredcites →https://doi.org/10.1109/caapwd.1992.217411openalex-snapshot
TeleSign: a sign language telecommunication system
inferredcites →https://doi.org/10.1109/iccv.1998.710744openalex-snapshot
ASL recognition based on a coupling between HMMs and 3D motion analysis
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/iconip.2002.1199054openalex-snapshot
A rotation invariant approach on static-gesture recognition using boundary histograms and neural networks
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/iecon.2000.972603openalex-snapshot
Recognition of hand gesture to human-computer interaction
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/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1109/nebc.2003.1215986openalex-snapshot
Data recording and analysis of American Sign Language
inferredcites →https://doi.org/10.1109/nebc.2003.1216106openalex-snapshot
American Sign Language finger spelling recognition system
inferredcites →https://doi.org/10.7551/mitpress/4939.001.0001openalex-snapshot
Neural Networks for Control
inferredcites →https://doi.org/10.7551/mitpress/4939.003.0009openalex-snapshot
Adaptive Control Using Neural Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.7653openalex-snapshot
A review on computational methods based automated sign language recognition system for hearing and speech impaired community
inferred← citeshttps://doi.org/10.1007/11590316_40openalex-snapshot
Human-Computer Interaction System with Artificial Neural Network Using Motion Tracker and Data Glove
inferred← citeshttps://doi.org/10.1007/978-3-030-45096-0_26openalex-snapshot
Hand Gesture Recognition Using Computer Vision Applied to Colombian Sign Language
inferred← citeshttps://doi.org/10.1007/978-3-319-27671-7_58openalex-snapshot
Sign Language Recognition Based on Trajectory Modeling with HMMs
inferred← citeshttps://doi.org/10.1007/978-3-319-65289-4_39openalex-snapshot
Object-Shape Recognition Based on Haptic Image
inferred← citeshttps://doi.org/10.1007/978-3-319-76348-4_53openalex-snapshot
A Robust Static Sign Language Recognition System Based on Hand Key Points Estimation
inferred← citeshttps://doi.org/10.1007/978-3-540-74472-6_88openalex-snapshot
Simple Glove-Based Korean Finger Spelling Recognition System
inferred← citeshttps://doi.org/10.1007/978-3-642-12297-2_21openalex-snapshot
Fingerspelling Recognition through Classification of Letter-to-Letter Transitions
inferred← citeshttps://doi.org/10.1007/978-3-642-29347-4_61openalex-snapshot
Vision-Based Recognition of Fingerspelled Acronyms Using Hierarchical Temporal Memory
inferred← citeshttps://doi.org/10.1007/s00521-021-06079-3openalex-snapshot
Advances in machine translation for sign language: approaches, limitations, and challenges
inferred← citeshttps://doi.org/10.1007/s11042-022-14117-yopenalex-snapshot
A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors
inferred← citeshttps://doi.org/10.1016/j.csl.2017.05.009openalex-snapshot
Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation
inferred← citeshttps://doi.org/10.1016/j.engappai.2018.09.006openalex-snapshot
American Sign Language alphabet recognition using Convolutional Neural Networks with multiview augmentation and inference fusion
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.10.016openalex-snapshot
Signing Exact English (SEE): Modeling and recognition
inferred← citeshttps://doi.org/10.1016/j.proeng.2012.07.189openalex-snapshot
Measurement of the Flexible Bending Force of the Index and Middle Fingers for Virtual Interaction
inferred← citeshttps://doi.org/10.1109/access.2020.3046667openalex-snapshot
DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images
inferred← citeshttps://doi.org/10.1109/bsn.2011.13openalex-snapshot
An Assistive Body Sensor Network Glove for Speech- and Hearing-Impaired Disabilities
inferred← citeshttps://doi.org/10.1109/bsn.2012.17openalex-snapshot
Design of an Assistive Communication Glove Using Combined Sensory Channels
inferred← citeshttps://doi.org/10.1109/cgncc.2014.7007487openalex-snapshot
Bayesian neural network approach to hand gesture recognition system
inferred← citeshttps://doi.org/10.1109/cvprw.2015.7301347openalex-snapshot
American Sign Language alphabet recognition using Microsoft Kinect
inferred← citeshttps://doi.org/10.1109/iccit.2007.4420493openalex-snapshot
Motion Sensitive Glove-Based Korean Fingerspelling Tutor
inferred← citeshttps://doi.org/10.1109/iccit.2007.80openalex-snapshot
Motion Sensitive Glove-Based Korean Fingerspelling Tutor
inferred← citeshttps://doi.org/10.1109/iccv.2013.192openalex-snapshot
Fingerspelling Recognition with Semi-Markov Conditional Random Fields
inferred← citeshttps://doi.org/10.1109/icic48496.2019.8966714openalex-snapshot
A Comparison of Hardware Based Approaches for Sign Language Gesture Recognition Systems
inferred← citeshttps://doi.org/10.1109/icip.2016.7532884openalex-snapshot
Sign language recognition with long short-term memory
inferred← citeshttps://doi.org/10.1109/ihtc.2014.7147529openalex-snapshot
An assistive interpreter tool using glove-based hand gesture recognition
inferred← citeshttps://doi.org/10.1109/isuc.2008.56openalex-snapshot
Sign Language Recognition Based on Position and Movement Using Multi-Stream HMM
inferred← citeshttps://doi.org/10.1109/micc.2009.5431430openalex-snapshot
Temporal sign language analysis based on DTW and incremental model
inferred← citeshttps://doi.org/10.1109/raics51191.2020.9332480openalex-snapshot
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint
inferred← citeshttps://doi.org/10.1109/rbme.2020.3019769openalex-snapshot
Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review
inferred← citeshttps://doi.org/10.1109/scored.2015.7449437openalex-snapshot
Finger spelling recognition using neural network
inferred← citeshttps://doi.org/10.1109/tim.2021.3068173openalex-snapshot
A Weft Knit Data Glove
inferred← citeshttps://doi.org/10.1145/1667780.1667849openalex-snapshot
Analysis of hand movement variation related to speed in Japanese sign language
inferred← citeshttps://doi.org/10.1145/3706598.3713721openalex-snapshot
SpellRing: Recognizing Continuous Fingerspelling in American Sign Language using a Ring
inferred← citeshttps://doi.org/10.11591/ijai.v12.i2.pp522-531openalex-snapshot
A review of factors that impact the design of a glove based wearable devices
inferred← citeshttps://doi.org/10.14419/ijet.v7i1.1.10163openalex-snapshot
Sequential particle filter with covariance features classified with artificial neural nets for continuous Indian sign language recognition
inferred← citeshttps://doi.org/10.1504/ijista.2008.021296openalex-snapshot
Gesture recognition with a Time-Of-Flight camera
inferred← citeshttps://doi.org/10.1541/ieejeiss.129.1902openalex-snapshot
Sign Language Recognition Based on Position and Movement Using Multi-Stream HMM
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115430openalex-snapshot
American Sign Language Recognition Using Deep Learning
inferred← citeshttps://doi.org/10.3233/jifs-18681openalex-snapshot
Arm removal for static hand gesture recognition
inferred← citeshttps://doi.org/10.3390/s19051078openalex-snapshot
Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images
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