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An approach to estimation for a class of hybrid discrete-time linear systems using Luenberger observers is presented. The proposed Luenberger observer for such a kind of systems relies on the switching among different gains. Convergence conditions have been found to ensure the stability of the error dynamics and the related gains may be selected by solving(More)
EyesWeb XMI (for eXtended Multimodal Interaction) is the new version of the well-known EyesWeb platform. It has a main focus on multimodality and the main design target of this new release has been to improve the ability to process and correlate several streams of data. It has been used extensively to build a set of interactive systems for performing arts(More)
Our research focused on ensemble musical performance, an ideal test-bed for the development of models and techniques for measuring creative social interaction in an ecologically valid framework. Starting from expressive behavioral data of a string quartet, this paper addresses the application of Multi-Scale Entropy method to investigate dominance.
This paper presents a number of algorithms andrelated software modules for the automated analysisin real-time of non-verbal cues related to expressivegesture in social interaction. Analysis is based onPhase Synchronisation (PS) and RecurrenceQuantification Analysis. We start from the hypothesisthat PS is one of the low-level social signalsexplaining empathy(More)
This paper presents our new system Mappe per Affetti Erranti (literally Maps for Wandering Affects), enabling a novel paradigm for social active experience and dynamic molding of expressive content of a music piece. Mappe per Affetti Erranti allows multiple users to interact with the music piece at several levels. On the one hand, multiple users can(More)
The problem of controlling the execution of motion estimation and control tasks in intelligent robotic systems is addressed in this paper. A methodology for automatically transforming conventional task-variable graphs representing the execution levels of intelligent control architectures in Petri nets is presented. The proposed Petri net representation(More)
This paper aims at investigating the relationship between gestures’ expressivity and the amount of attention they attract. We present a technique for quantifying behavior saliency, here understood as the capacity to capture one’s attention, by the rarity of selected motion and gestural expressive features. This rarity index is based on the real-time(More)
This paper presents a motion attention model that aims at analyzing gesture saliency using context-related information at three different levels. At the first level, motion features are compared in the spatial context of the current video frame; at the intermediate level, salient behavior is analyzed on a short temporal context; at the third level,(More)