Correlational methods for analysis of dance movements

Timothy R. Brick, Steven M. Boker

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify.

This paper presents three methods - Generalized Local Linear Approximation, Timelagged Autocorrelation, and Windowed Cross-correlation - 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. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

Original languageEnglish (US)
Pages (from-to)283-304
Number of pages22
JournalDance Research
Volume29
Issue number2
DOIs
StatePublished - Nov 1 2011

Fingerprint

Dance
Symmetry
Synchrony
Interaction
Dancers
Approximation
Autocorrelation
Human Behavior
Motion Capture

All Science Journal Classification (ASJC) codes

  • Visual Arts and Performing Arts

Cite this

Brick, Timothy R. ; Boker, Steven M. / Correlational methods for analysis of dance movements. In: Dance Research. 2011 ; Vol. 29, No. 2. pp. 283-304.
@article{fa186a5f1e0e44138eac88d9ea20ad0e,
title = "Correlational methods for analysis of dance movements",
abstract = "Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify.This paper presents three methods - Generalized Local Linear Approximation, Timelagged Autocorrelation, and Windowed Cross-correlation - 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. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.",
author = "Brick, {Timothy R.} and Boker, {Steven M.}",
year = "2011",
month = "11",
day = "1",
doi = "10.3366/drs.2011.0021",
language = "English (US)",
volume = "29",
pages = "283--304",
journal = "Dance Research",
issn = "0264-2875",
publisher = "Edinburgh University Press",
number = "2",

}

Correlational methods for analysis of dance movements. / Brick, Timothy R.; Boker, Steven M.

In: Dance Research, Vol. 29, No. 2, 01.11.2011, p. 283-304.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Correlational methods for analysis of dance movements

AU - Brick, Timothy R.

AU - Boker, Steven M.

PY - 2011/11/1

Y1 - 2011/11/1

N2 - Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify.This paper presents three methods - Generalized Local Linear Approximation, Timelagged Autocorrelation, and Windowed Cross-correlation - 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. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

AB - Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify.This paper presents three methods - Generalized Local Linear Approximation, Timelagged Autocorrelation, and Windowed Cross-correlation - 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. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

UR - http://www.scopus.com/inward/record.url?scp=84906344710&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906344710&partnerID=8YFLogxK

U2 - 10.3366/drs.2011.0021

DO - 10.3366/drs.2011.0021

M3 - Article

AN - SCOPUS:84906344710

VL - 29

SP - 283

EP - 304

JO - Dance Research

JF - Dance Research

SN - 0264-2875

IS - 2

ER -