DocumentCode :
2770688
Title :
Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy
Author :
Madeo, Renata C B ; Peres, Sarajane M. ; Lima, Clodoaldo A M ; Boscarioli, Clodis
Author_Institution :
Sch. of Arts, Sci. & Humanities, Univ. of Sao Paulo, Sao Paulo, Brazil
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper describes a hybrid architecture that provides automatic classification for a set of gestures. Such architecture combines fuzzy-connectionist, heuristic and syntactical pattern recognition approaches, and deals with gesture recognition based on primitives. The modeling with primitives allows the use of multiples classifiers in order to achieve high classification accuracy. The heuristic classifier and the fuzzy syntactical integrating strategy are described in this paper. The fuzzy-connectionist classifiers were discussed in previous works and they are now revisited just to present the set of parameters that solves the current proof of concept, in the scope of Brazilian Sign Language Manual Alphabet. The fuzzy syntactical strategy coupled with the modeling with primitives has improved the pattern recognition results, enabling the design of architecture for classification with high flexibility and scalability to development of applications in different signed communication contexts. The experimental results show that the proposed approach is valid and has promising application.
Keywords :
fuzzy set theory; gesture recognition; image classification; Brazilian sign language manual alphabet; automatic classification; fuzzy syntactical integrating strategy; fuzzy-connectionist classifiers; gesture recognition; heuristic classifiers; hybrid architecture; pattern recognition; Context; Feature extraction; Gesture recognition; Grammar; Handicapped aids; Pragmatics; Fuzzy Syntactical Pattern Recognition; Fuzzy-Connectionist Pattern Recognition; Gesture Recognition; Hybrid Architecture; Multiple Classifiers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
ISSN :
2161-4393
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
Type :
conf
DOI :
10.1109/IJCNN.2012.6252448
Filename :
6252448
Link To Document :
بازگشت