Gesture Modeling by Hanklet-Based Hidden Markov Model

  title={Gesture Modeling by Hanklet-Based Hidden Markov Model},
  author={Liliana Lo Presti and Marco La Cascia and Stan Sclaroff and Octavia I. Camps},
In this paper we propose a novel approach for gesture modeling. We aim at decomposing a gesture into sub-trajectories that are the output of a sequence of atomic linear time invariant (LTI) systems, and we use a Hidden Markov Model to model the transitions from the LTI system to another. For this purpose, we represent the human body motion in a temporal window as a set of body joint trajectories that we assume are the output of an LTI system. We describe the set of trajectories in a temporal… CONTINUE READING
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