Conference paper Open Access

Movement Fluidity Analysis Based on Performance and Perception

Alborno, Paolo; Piana, Stefano; Mancini, Maurizio; Niewiadomski, Radoslaw; Volpe, Gualtiero; Camurri, Antonio

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Alborno, Paolo</dc:creator>
  <dc:creator>Piana, Stefano</dc:creator>
  <dc:creator>Mancini, Maurizio</dc:creator>
  <dc:creator>Niewiadomski, Radoslaw</dc:creator>
  <dc:creator>Volpe, Gualtiero</dc:creator>
  <dc:creator>Camurri, Antonio</dc:creator>
  <dc:description>In this work we present a framework and an experimental approach to investigate human body movement qualities (i.e., the expressive components of non-verbal communication) in HCI. We first define a candidate movement quality conceptually, with the contribute of experts in the field (e.g., dancers, choreographers). Next, we collect a dataset of performances and we evaluate the perception of the chosen quality. Finally, we propose a computational model to detect the presence of the quality in a movement segment and we compare the outcomes of the model with the evaluation results. In the proposed on-going work, we apply this approach to a specific quality of movement: Fluidity. The proposed methods and models may have several applications, e.g., in emotion detection from full-body movement, interactive training of motor skills, rehabilitation. </dc:description>
  <dc:source>Proceedings of the International Working Conference on Advanced Visual Interfaces</dc:source>
  <dc:title>Movement Fluidity Analysis Based on Performance and Perception</dc:title>
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