sign language

Mouthing e mouth gesture nella lingua dei segni italiana. Descrizione, consapevolezza e acquisizione di un fenomeno ubiquo, complesso e dibattuto

What and how do signers labialize in the act of signing? Is labialization related to the interface between form and rhythm of the sign? What do signers think about this phenomenon? Are oral components considered in LIS (Italian Sign Language) teaching? These are some of the ques- tions that we posed and attempted to answer. To shed light on such a controversial phenomenon, a questionnaire was designed and disseminated online. It involved over 273 deaf and hearing signers from all over Italy.

Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures

Hand gesture recognition is still a topic of great interest for the computer vision community. In particular, sign language and semaphoric hand gestures are two foremost areas of interest due to their importance in Human-Human Communication (HHC) and Human-Computer Interaction (HCI), respectively. Any hand gesture can be represented by sets of feature vectors that change over time. Recurrent Neural Networks (RNNs) are suited to analyse this type of sets thanks to their ability to model the long term contextual information of temporal sequences.

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