Search results for "Italian Sign Language"
showing 3 items of 3 documents
A framework for sign language sentence recognition by common sense context
2007
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 the correctness 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, c…
L'assistente alla comunicazione nella scuola è solo un mediatore linguistico? Problemi, specificità, formazione di una nuova figura professionale.
2009
In seguito all’applicazione della L.104/92 sull’integrazione dei soggetti in situazione di handicap, sono presenti nelle scuole italiane gli “assistenti alla comunicazione” per gli alunni sordi: si tratta di una nuova figura professionale che, all’interno dei servizi educativi, si propone di far da ponte tra sordi e udenti, in quanto esperto delle principali problematiche degli alunni sordi ed esperto nella LIS (Lingua dei Segni Italiana). Ma di che tipo di mediazione si tratta? Quali problemi solleva e quali riflessioni dal punto di vista pedagogico, sociale, linguistico e antropologico? Questi i principali ambiti di riflessione trattati all’interno dell’articolo, in termini problematici e…
A system for sign language sentence recognition based on common sense context
2005
The paper proposes a complete framework for sign language recognition that integrates common sense in order to deal with sentences. The proposed system is based on a cognitive architecture allows modeling and managing 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 the correctness of a sentence given a sequence of recognized signs. Experimentations are presented using the Italian sign language (LIS), and shows that the system maintains the recognition rate high when set of sign grows, correcting erroneous recognized single sign using the context