Optimal asymmetry and other motion parameters that characterise high-quality female dance

McCarty, K. and Darwin, H. and Cornelissen, P. L. and Saxton, T. K. and Tovée, M. and Caplan, N. and Neave, N. (2017) Optimal asymmetry and other motion parameters that characterise high-quality female dance. Scientific Reports, 7 . p. 42435. ISSN 2045-2322

Full content URL: http://Scientific Reports/articles/srep42435

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Abstract

Dance is a universal human behaviour that is observed particularly in courtship contexts, and that provides information that could be useful to potential partners. Here, we use a data-driven approach to pinpoint the movements that discriminate female dance quality. Using 3D motion-capture we recorded women whilst they danced to a basic rhythm. Video clips of 39 resultant avatars were rated for dance quality, and those ratings were compared to quantitative measurements of the movement patterns using multi-level models. Three types of movement contributed independently to high-quality
female dance: greater hip swing, more asymmetric movements of the thighs, and intermediate levels
of asymmetric movements of the arms. Hip swing is a trait that identifies female movement, and the
ability to move limbs asymmetrically (i.e. independently of the other) may attest to well-developed
motor control, so long as this limb independence does not verge into uncontrolled pathological
movement. We also found that the same level of dance quality could be predicted by different
combinations of dance features. Our work opens avenues to exploring the functional significance,
informational content, and temporal sequencing of the different types of movement in dance.

Keywords:female movement; reproductive quality; dance quality; motion-capture.
Subjects:C Biological Sciences > C800 Psychology
C Biological Sciences > C830 Experimental Psychology
C Biological Sciences > C841 Health Psychology
C Biological Sciences > C880 Social Psychology
Divisions:College of Social Science > School of Psychology
ID Code:26404
Deposited On:17 Feb 2017 14:37

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