AMAB: Automated measurement and analysis of body motion

Ronald Walter Poppe, Sophie van der Zee, Dirk K.J. Heylen, Paul J Taylor, Paul J. Taylor

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)
7 Downloads (Pure)

Abstract

Technologies that measure human nonverbal behavior have existed for some time, and their use in the analysis of social behavior has become more popular following the development of sensor technologies that record full-body movement. However, a standardized methodology to efficiently represent and analyze full-body motion is absent. In this article, we present automated measurement and analysis of body motion (AMAB), a methodology for examining individual and interpersonal nonverbal behavior from the output of full-body motion tracking systems. We address the recording, screening, and normalization of the data, providing methods for standardizing the data across recording condition and across subject body sizes. We then propose a series of dependent measures to operationalize common research questions in psychological research. We present practical examples from several application areas to demonstrate the efficacy of our proposed method for full-body measurements and comparisons across time, space, body parts, and subjects.
Original languageUndefined
Pages (from-to)625-633
Number of pages9
JournalBehavior research methods
Volume46
Issue number3
DOIs
Publication statusPublished - Sep 2014

Keywords

  • Behavior analysis
  • EWI-24917
  • motion capture
  • IR-87741
  • Automatic analysis
  • METIS-298473
  • HMI-MI: MULTIMODAL INTERACTIONS

Cite this

Poppe, Ronald Walter ; van der Zee, Sophie ; Heylen, Dirk K.J. ; Taylor, Paul J ; Taylor, Paul J. / AMAB: Automated measurement and analysis of body motion. In: Behavior research methods. 2014 ; Vol. 46, No. 3. pp. 625-633.
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AMAB: Automated measurement and analysis of body motion. / Poppe, Ronald Walter; van der Zee, Sophie; Heylen, Dirk K.J.; Taylor, Paul J; Taylor, Paul J.

In: Behavior research methods, Vol. 46, No. 3, 09.2014, p. 625-633.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - AMAB: Automated measurement and analysis of body motion

AU - Poppe, Ronald Walter

AU - van der Zee, Sophie

AU - Heylen, Dirk K.J.

AU - Taylor, Paul J

AU - Taylor, Paul J.

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AB - Technologies that measure human nonverbal behavior have existed for some time, and their use in the analysis of social behavior has become more popular following the development of sensor technologies that record full-body movement. However, a standardized methodology to efficiently represent and analyze full-body motion is absent. In this article, we present automated measurement and analysis of body motion (AMAB), a methodology for examining individual and interpersonal nonverbal behavior from the output of full-body motion tracking systems. We address the recording, screening, and normalization of the data, providing methods for standardizing the data across recording condition and across subject body sizes. We then propose a series of dependent measures to operationalize common research questions in psychological research. We present practical examples from several application areas to demonstrate the efficacy of our proposed method for full-body measurements and comparisons across time, space, body parts, and subjects.

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KW - EWI-24917

KW - motion capture

KW - IR-87741

KW - Automatic analysis

KW - METIS-298473

KW - HMI-MI: MULTIMODAL INTERACTIONS

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