DIANOEMA: Visual analysis and sign recognition for GSL modelling and robot teleoperation

This paper presents the scientific framework and achieved results of the DIANOEMA project, in the framework of which visual analysis and sign recognition techniques have been explored on Greek Sign Language (GSL) data aiming at GSL modelling and a pilot application for robot teleoperation. The project's accomplishments comprise the Greek Sign Language Corpus (GSLC) creation and annotation, video analysis algorithms for automatic visual detection and gesture tracking, a probabilistic recognition scheme for Automatic Sign Language Recognition from multiple cues, and the pilot application on teleoperation of a Mobile Robot Vehicle.