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    Analysis of Sign Language Gestures Using Size Functions and Principal Component Analysis


    Kelly, Daniel and McDonald, John and Lysaght, Thomas and Markham, Charles (2008) Analysis of Sign Language Gestures Using Size Functions and Principal Component Analysis. In: IMVIP '08. International Machine Vision and Image Processing Conference, 2008. IEEE, pp. 31-36. ISBN 9780769533322

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    Abstract

    This paper presents a computer vision based virtual learning environment for teaching communicative hand gestures used in Sign Language. A virtual learning environment was developed to demonstrate signs to the user. The system then gives real time feedback to the user on their performance of the demonstrated sign. Gesture features are extracted from a standard web-cam video stream and shape and trajectory matching techniques are applied to these features to determine the feedback given to the user.

    Item Type: Book Section
    Keywords: Principal Component Analysis; Sign Language; Size Functions;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8342
    Identification Number: https://doi.org/10.1109/IMVIP.2008.17
    Depositing User: John McDonald
    Date Deposited: 15 Jun 2017 15:56
    Publisher: IEEE
    Refereed: Yes
    Funders: Irish Research Council for Science Engineering and Technology (IRCSET)
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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