KinAct: the attentive social game demonstration

In this paper we present the demonstration of an intelligent game system capable of selecting the players who exhibit the most outstanding behavior from groups of people playing on a network. The system uses both static and dynamic features extracted from the upper part of the players’ bodies such as symmetry, contraction index, motion index or height. Those features are extracted using the RGB-D Kinect sensor and their relative contrast and time evolution enable an adaptive selection of the most salient or different behavior without any complex rules.