Conference paper Open Access

Movement Fluidity Analysis Based on Performance and Perception

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

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. 

Files (296.5 kB)
Name Size
Movement Fluidity Analysis Based on Performance and Perception.pdf
296.5 kB Download
All versions This version
Views 128128
Downloads 622622
Data volume 184.4 MB184.4 MB
Unique views 119119
Unique downloads 602602


Cite as