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Automatic Recognition of Head Movement Gestures in Sign Language Sentences
Kelly, Daniel; Reilly Delannoy, Jane; McDonald, John; Markham, Charles
A novel system for the recognition of head movement gestures used to convey non-manual information in sign language is presented. We propose a framework for recognizing a set of head movement gestures and identifying head movements outside of this set. Experiments show our proposed system is capable of classifying three different head movement gestures and identifying 15 other head movements as movements which are outside of the training set. In this paper we perform experiments to investigate the best feature vectors for discriminating between positive a negative head movement gestures and a ROC analysis of the systems classifications performance showed an area under the curve measurement of 0:936 for the best performing feature vector.
Keyword(s): Computer Science; Sign Language; Non Manual Signals; HMM
Publication Date:
2009
Type: Journal article
Peer-Reviewed: Yes
Contributor(s): Winstanley, Adam C.
Institution: Maynooth University
Citation(s): Kelly, Daniel and Reilly Delannoy, Jane and McDonald, John and Markham, Charles (2009) Automatic Recognition of Head Movement Gestures in Sign Language Sentences. Proceedings of the 4th China-Ireland Information and Communications Technologies Conference. pp. 142-145. ISSN 978 0 901519 67 2
Publisher(s): Dept. of Computer Science, National University of Ireland, Maynooth
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/2548/3/DK_Automatic_Recognition.pdf
First Indexed: 2020-01-31 06:35:16 Last Updated: 2020-04-02 07:24:19