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A framework for sign language sentence recognition by common sense context

  • Autori: Ignazio, I.; Riccardo, R.; Gaglio, S.
  • Anno di pubblicazione: 2007
  • Tipologia: Articolo in rivista (Articolo in rivista)
  • OA Link:


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, correcting erroneously recognized single signs using the sentence context.