This correspondence proposes a complete framework for sign language recognition that integrates a commonsense engine in order to deal with sentence recognition. The proposed system is based on a multilevel architecture that allows modeling and managing of the knowledge of the recognition process in a simple and robust way. The final abstraction level of this architecture introduces the semantic context and the analysis of thecorrectness of a sentence given in a sequence of recognized signs. Experimentations are presented using a set of signs from the Italian sign language(LIS) for domotic applications. The implemented system maintains a high recognition rate when the set of signs grows, correcting erroneously recognized single signs using the sentence context.
|Numero di pagine||6|
|Rivista||IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS. PART C, APPLICATIONS AND REVIEWS|
|Volume||37, no 5|
|Stato di pubblicazione||Published - 2007|
All Science Journal Classification (ASJC) codes