Investigating the Lead and Lag Times of Digital Freehands

Previously, we have put in a considerable amount of effort to separate, identify, and then classify pen gestures from any given ink trace on the digital board. Those heuristics have been proven sound and efficiently fast, but lags in coherence when it comes to administering seriously ambiguous cases when both the domains for sketches and gestures are merged. When earlier, we analysed data solely from its raw repercussions, we now observe the same data with an additional temporal viewpoint.