This paper presents computationally and physically augmented desktop objects - “Things that hover” - that is capable of moving autonomously on desktop, and discusses about tec...
We present a Computer Vision based system that enables multiple people to interact naturally with a large display table using their own bare-hand gestures. The display presents an...
The IRIS Network of Excellence (NoE) started its work in January 2009. In this paper we highlight some new research directions developing within the network: one is revisiting narr...
An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
This research aims to investigate a collection of interactions in 2D workspaces with the goal of helping users stay in the flow of their activity. These interactions will be explo...