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research-article

A dynamic gesture recognition system for the Korean sign language (KSL)

Published: 01 April 1996 Publication History

Abstract

The sign language is a method of communication for the deaf-mute. Articulated gestures and postures of hands and fingers are commonly used for the sign language. This paper presents a system which recognizes the Korean sign language (KSL) and translates into a normal Korean text. A pair of data-gloves are used as the sensing device for detecting motions of hands and fingers. For efficient recognition of gestures and postures, a technique of efficient classification of motions is proposed and a fuzzy min-max neural network is adopted for on-line pattern recognition

Cited By

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  • (2023)Indian Regional Sign Language RecognitionProceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/3627631.3627660(1-7)Online publication date: 15-Dec-2023
  • (2023)Fuzzy min–max neural networks: a bibliometric and social network analysisNeural Computing and Applications10.1007/s00521-023-08267-935:7(5081-5111)Online publication date: 30-Jan-2023
  • (2021)Global-Local Enhancement Network for NMF-Aware Sign Language RecognitionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/343675417:3(1-19)Online publication date: 22-Jul-2021
  • Show More Cited By

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cover image IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics  Volume 26, Issue 2
April 1996
157 pages

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IEEE Press

Publication History

Published: 01 April 1996

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Cited By

View all
  • (2023)Indian Regional Sign Language RecognitionProceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing10.1145/3627631.3627660(1-7)Online publication date: 15-Dec-2023
  • (2023)Fuzzy min–max neural networks: a bibliometric and social network analysisNeural Computing and Applications10.1007/s00521-023-08267-935:7(5081-5111)Online publication date: 30-Jan-2023
  • (2021)Global-Local Enhancement Network for NMF-Aware Sign Language RecognitionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/343675417:3(1-19)Online publication date: 22-Jul-2021
  • (2021)Methods, Databases and Recent Advancement of Vision-Based Hand Gesture Recognition for HCI Systems: A ReviewSN Computer Science10.1007/s42979-021-00827-x2:6Online publication date: 29-Aug-2021
  • (2020)Finger Gesture Tracking for Interactive ApplicationsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34141174:3(1-21)Online publication date: 4-Sep-2020
  • (2020)INCLUDEProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413528(1366-1375)Online publication date: 12-Oct-2020
  • (2019)Attention-Based 3D-CNNs for Large-Vocabulary Sign Language RecognitionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2018.287074029:9(2822-2832)Online publication date: 3-Sep-2019
  • (2016)Block-based histogram of optical flow for isolated sign language recognitionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.07.02040:PB(538-545)Online publication date: 1-Oct-2016
  • (2016)A feature covariance matrix with serial particle filter for isolated sign language recognitionExpert Systems with Applications: An International Journal10.1016/j.eswa.2016.01.04754:C(208-218)Online publication date: 15-Jul-2016
  • (2015)A User-Powered American Sign Language DictionaryProceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing10.1145/2675133.2675226(1837-1848)Online publication date: 28-Feb-2015
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