Intrapersonal synchronization of limb movements is a relevant feature for assessing coordination of motoric behavior. In this paper, we show that it can also distinguish between full-body movements performed with different expressive qualities, namely rigidity, uidity, and impulsivity. For this purpose, we collected a dataset of movements performed by professional dancers, and annotated the perceived movement qualities with the help of a group of experts in expressive movement analysis. We computed intra personal synchronization by applying the Event Synchronization algorithm to the time-series of the speed of arms and hands. Results show that movements performed with different qualities display a significantly different amount of intra personal synchronization: Impulsive movements are the most synchronized, the uid ones show the lowest values of synchronization, and the rigid ones lay in between.
Analysis of intrapersonal synchronization in full-body movements displaying different expressive qualities / Alborno, Paolo; Piana, Stefano; Mancini, Maurizio; Niewiadomski, Radoslaw; Volpe, Gualtiero; Camurri, Antonio. - ELETTRONICO. - (2016), pp. 136-143. (Intervento presentato al convegno 13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016 tenutosi a Bari, Italia nel 2016) [10.1145/2909132.2909262].
Analysis of intrapersonal synchronization in full-body movements displaying different expressive qualities
NIEWIADOMSKI, RADOSLAW;
2016-01-01
Abstract
Intrapersonal synchronization of limb movements is a relevant feature for assessing coordination of motoric behavior. In this paper, we show that it can also distinguish between full-body movements performed with different expressive qualities, namely rigidity, uidity, and impulsivity. For this purpose, we collected a dataset of movements performed by professional dancers, and annotated the perceived movement qualities with the help of a group of experts in expressive movement analysis. We computed intra personal synchronization by applying the Event Synchronization algorithm to the time-series of the speed of arms and hands. Results show that movements performed with different qualities display a significantly different amount of intra personal synchronization: Impulsive movements are the most synchronized, the uid ones show the lowest values of synchronization, and the rigid ones lay in between.File | Dimensione | Formato | |
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