While walking through a crowd, a person balances several desires, such as reaching some goal position, avoiding collisions with others, and conserving energy. Crowd models generally try to mimic this behaviour by planning short paths that avoid collisions. However, when the crowd density increases, choosing a collisionfree path becomes more difficult. In such highdensity crowds, one can observe torso twists; people rotate their upper body to decrease their width perpendicular to the motion path, in order to squeeze through narrow spaces between other crowd members. In this paper we investigate this behaviour, by recording and analysing dense crowds. We show that the paths chosen by the participants can be predicted by generalized Voronoi diagrams, and identify relations between instantaneous speed and look-ahead distance, and between the participants' torso orientations and goal positions.