Movement Fluidity Analysis Based on Performance and Perception
Late-Breaking Works: Extending User Capabilities
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Piana, Stefano
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Alborno, Paolo
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Niewiadomski, Radoslaw
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Mancini, Maurizio
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Volpe, Gualtiero
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Camurri, Antonio
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.1629-1636
© Copyright 2016 ACM
Summary: 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 involvement 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.
