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A Framework for Sign Language Sentence Recognition by Commonsense Context

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3 Author(s)
Infantino, I. ; Ist. di Calcolo e Red ad Alte Prestazioni, Palermo ; Rizzo, R. ; Gaglio, S.

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.

Published in:

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:37 ,  Issue: 5 )

Date of Publication:

Sept. 2007

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