Multiscale detection of gesture patterns in continuous motion trajectories

  • Authors:
  • Radu-Daniel Vatavu;Laurent Grisoni;Stefan-Gheorghe Pentiuc

  • Affiliations:
  • University Stefan cel Mare of Suceava, Romania;Laboratoire d’Informatique Fondamentale de Lille, France;University Stefan cel Mare of Suceava, Romania

  • Venue:
  • GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.