Kelly, Daniel and McDonald, John and Markham, Charles (2009) Recognizing Spatiotemporal Gestures and Movement Epenthesis in Sign Language. In: 13th International Machine Vision and Image Processing Conference, 2009. IMVIP '09. IEEE, pp. 145-150. ISBN 781424448753

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Abstract

A novel system for the recognition of spatiotemporal hand gestures used in sign language is presented. While recognition of valid sign sequences is an important task in the overall goal of machine recognition of sign language, recognition of movement epenthesis is an important step towards continuous recognition of natural sign language. We propose a framework for recognizing valid sign segments and identifying movement epenthesis. Experiments show our proposed system performs well when classifying eight different signs and identifying 100 different types of movement epenthesis. A ROC analysis of the systems classifications performance showed an area under the curve measurement of 0.949.

Item Type:	Book Section
Keywords:	HMM; Gesture Recognition; Sign Language;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8334
Identification Number:	https://doi.org/10.1109/IMVIP.2009.33
Depositing User:	John McDonald
Date Deposited:	14 Jun 2017 15:00
Publisher:	IEEE
Refereed:	Yes
Funders:	Irish Research Council for Science Engineering and Technology (IRCSET)
URI:	http://ieeexplore.ieee.org

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