We discuss the notion of movement coarticulation, which has been studied in several fields such as motor control, music performance and animation. In gesture recognition, movement coarticulation is generally viewed as a transition between " gestures " that can be problematic. We propose here to account for movement coarticulation as an informative element of skilled practice and propose to explore computational modeling of coarticulation. We show that established proba-bilistic models need to be extended to accurately take into account movement coarticulation, and we propose research questions towards such a goal.