DocumentCode :
2263782
Title :
Incorporating facial features into a multi-channel gesture recognition system for the interpretation of Irish Sign Language sequences
Author :
Kelly, Daniel ; Delannoy, Jane Reilly ; Donald, John Mc ; Markham, Charles
Author_Institution :
Comput. Sci. Dept., Nat. Univ. of Ireland, Maynooth, Ireland
fYear :
2009
fDate :
Sept. 27 2009-Oct. 4 2009
Firstpage :
1977
Lastpage :
1984
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.
Keywords :
feature extraction; gesture recognition; hidden Markov models; image recognition; Irish sign language sequences; facial features; hidden Markov Model networks; multichannel gesture recognition system; non manual information; Active appearance model; Computer science; Conferences; Eyebrows; Eyes; Face recognition; Facial features; Handicapped aids; Hidden Markov models; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4442-7
Electronic_ISBN :
978-1-4244-4441-0
Type :
conf
DOI :
10.1109/ICCVW.2009.5457524
Filename :
5457524
Link To Document :
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