The number of systems exploiting Time-of-Flight (ToF) cameras for gesture recognition has greatly increased in the last years, confirming a very positive trend of this technology within the field of Human-Computer Interaction. In this work we present a new kind of application for the interaction with a virtual keyboard which is based on the use of an ordinary RGB webcam and a ToF camera. Our approach can be subdivided into two steps: firstly a segmentation of the entire body of the user is achieved exploiting only the ToF data; then the extraction of hands and head is obtained applying color information on the retrieved clusters. The final tracking step, based on the Kalman filter, is able to recognize the chosen hand also in presence of a second hand or the head. Tests, carried out with users of different ages, showed interesting results and a quick learning curve.
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