Abstract. The problem of hand tracking in the presence of occlusion is addressed. In bimanual movements the hands tend to be synchronised effortlessly. Different aspects of this synchronisation are the basis of our research to track the hands. We propose a Kalman filtering-based dynamic model to catch the movement of the hands. The spatial synchronisation in bimanual movements is modelled by the position and the temporal synchronisation by the velocity and acceleration of each hand. Based on this model, we introduce algorithms for occlusion detection and hand tracking during occlusion.