A syntactic learning method for hand gesture recognition

Authors:
Roya Choupani;Mehmet R. Tolun
Affiliations:
Computer Engineering Department, Çankaya University, Ankara, Turkey;Computer Engineering Department, Çankaya University, Ankara, Turkey
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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Abstract

Hand gesture recognition has been a major challenge during the recent years. Many of the hand gesture recognition systems however, have been restricted to a few number of possible movements. Some applications such as gesture recognition in understanding sign languages, include a large number of classes and need an automatic learning method for extracting the features of each class. An important characteristic of these applications is that each sample belonging to a class may have a different length and the position of the key features may change. In this paper we have proposed a syntactic method for classifying the input sequences. The grammer of the method is extracted during training stage.