Correlational Methods for Analysis of Dance Movements

Brick, T. R. & Boker, S. M. (2011) Correlational Methods for Analysis of Dance Movements. Dance Research, Special Electronic Issue: Dance and Neuroscience: New Partnerships, 29:2, 283–304

We propose to present three methods for the exploration of symmetry and synchrony in motion-capture data as is it applied to dance and illustrate these with examples from a study of free-form dance. First, Generalized Local Linear Approximation (GLLA) provides a transformation from the positional data returned by such a system into a representation including approximations of velocity and acceleration. Using these newly transformed data, time-lagged autocorrelation can provide insight into the structure of temporal symmetry within a single person’s movements during the dance. Windowed cross-correlation can show other kinds of symmetry between individuals or between an individual and an outside stimuli, such as a rhythm or musical work. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

The manuscript of this article accepted for publication can be requested as a pdf file from the first author: Timothy Brick at the Max Planck Institute for Human Development.

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