Kelly, Daniel and Delannoy, Jane Reilly and McDonald, John and Markham, Charles (2009) A Framework for Continuous Multimodal Sign Language Recognition. In: ICMI-MLMI '09 Proceedings of the 2009 international conference on Multimodal interfaces. ACM, pp. 351-358. ISBN 9781605587721

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Abstract

We present a multimodal system for the recognition of manual signs and non-manual signals within continuous sign language sentences. In sign language, information is mainly conveyed through hand gestures (Manual Signs). Non-manual signals, such as facial expressions, head movements, body postures and torso movements, are used to express a large part of the grammar and some aspects of the syntax of sign language. In this paper we propose a multichannel HMM based system to recognize manual signs and non-manual signals. We choose a single non-manual signal, head movement, to evaluate our framework when recognizing non-manual signals. Manual signs and non-manual signals are processed independently using continuous multidimensional HMMs and a HMM threshold model. Experiments conducted demonstrate that our system achieved a detection ratio of 0.95 and a reliability measure of 0.93.

Item Type:	Book Section
Keywords:	Sign Language; Non-Manual Signals; HMM;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8338
Identification Number:	https://doi.org/10.1145/1647314.1647387
Depositing User:	John McDonald
Date Deposited:	14 Jun 2017 14:58
Publisher:	ACM
Refereed:	Yes
Funders:	Irish Research Council for Science Engineering and Technology (IRCSET)
URI:	http://dl.acm.org
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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