Gesture-based hybrid approach for HCI in ambient intelligent environmments

In this paper we propose a novel interaction approach, based on gestures, aiming to recognize and enhance interactions between augmented human beings and augmented environments. We explain how this model, we called ARAMIS, allows interaction designers to fill the gap between real and virtual worlds augmenting the human itself. An enhanced interaction is achieved exploiting a hybrid approach. This approach is defined hybrid since it is the combination of several complementary techniques: wearable and pervasive computing paradigms, brute force, fuzzy and ML methods, virtual and real worlds, optical and non-optical sensing technologies. A framework implementing this concept has been developed. Finally, in order to validate our approach, we present a first prototype implemented according to the ARAMIS concept.