Multiscale Detection of Gesture Patterns in Continuous Motion Trajectories

Abstract. We describe a numerical method for scale invariant detection of gesture patterns in continuous 2D motions. The algorithm is fast due to our rejection-based reasoning achieved using a new set of curvature-based functions which we call Integral Absolute Curvatures. Detection rates above 96% are reported on a large data set consisting of 72,000 samples with demonstrated low execution time. The technique can be used to automatically detect gesture patterns in unconstrained motions in order to enable click-free interactions.

• Type: Journal
• Year: 2009
• Where: GW
• Authors: Radu-Daniel Vatavu, Laurent Grisoni, Stefan Gheorghe Pentiuc
• Keywords: Biometrics, Continuous 2D Motions, Gesture Patterns, GW 2009, Scale Invariant Detection