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Kelly, Daniel, Delannoy, Jane Reilly, McDonald, John and Markham, Charles (2009) Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences. In: IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009. IEEE, pp. 1977-1984. ISBN 9781424444427
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Abstract
In this paper we present a novel gesture recognition system for the interpretation of Irish Sign Language sequences which incorporates manual and non-manual information. We implement a set of independent Hidden Markov Model networks to recognize hand gestures, head movements and facial features into a single framework for interpreting Irish Sign Language. This framework is not specific to any particular type of gesture and we demonstrate this by showing that manual and non manual signals can be robustly spotted and classified from with continuous sign sequences.
| Item Type: | Book Section |
|---|---|
| Keywords: | image recognition; feature extraction; gesture recognition; hidden Markov models; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 8336 |
| Identification Number: | 10.1109/ICCVW.2009.5457524 |
| Depositing User: | John McDonald |
| Date Deposited: | 14 Jun 2017 14:59 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Funders: | Irish Research Council for Science Engineering and Technology (IRCSET) |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/8336 |
| 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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