Validation of an Algorithm for Segmentation of Full-Body Movement Sequences by Perception: A Pilot Experiment

  • Authors:
  • Donald Glowinski;Antonio Camurri;Carlo Chiorri;Barbara Mazzarino;Gualtiero Volpe

  • Affiliations:
  • InfoMus Lab-Casa Paganini, University of Genoa, Genoa, Italy I-16145;InfoMus Lab-Casa Paganini, University of Genoa, Genoa, Italy I-16145;Disa-Department of Anthropological Sciences/psychology unit, University of Genoa, Genoa 16128;InfoMus Lab-Casa Paganini, University of Genoa, Genoa, Italy I-16145;InfoMus Lab-Casa Paganini, University of Genoa, Genoa, Italy I-16145

  • Venue:
  • Gesture-Based Human-Computer Interaction and Simulation
  • Year:
  • 2009

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Abstract

This paper presents a pilot experiment for the perceptual validation by human subjects of a motion segmentation algorithm, i.e., an algorithm for automatically segmenting a motion sequence (e.g., a dance fragment) into a collection of pause and motion phases. Perceptual validation of motion and gesture analysis algorithms is an important issue in the development of multimodal interactive systems where human full-body movement and expressive gesture are a major input channel. The discussed experiment is part of a broader research at DIST-InfoMus Lab aiming at investigating the non-verbal mechanisms of communication involving human movement and gesture as primary conveyors of expressive emotional content.