Abstract
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.
Lingua originale | English |
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pagine (da-a) | 1034-1039 |
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
- ???subjectarea.asjc.2200.2207???
- ???subjectarea.asjc.1700.1712???
- ???subjectarea.asjc.1700.1710???
- ???subjectarea.asjc.1700.1709???
- ???subjectarea.asjc.1700.1706???
- ???subjectarea.asjc.2200.2208???