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Behavior Research Methods

, Volume 46, Issue 3, pp 625–633 | Cite as

AMAB: Automated measurement and analysis of body motion

  • Ronald PoppeEmail author
  • Sophie Van Der Zee
  • Dirk K. J. Heylen
  • Paul J. Taylor
Article
  • 618 Downloads

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.

Keywords

Motion capture Human motion analysis Measurement of body motion Body motion analysis 

Notes

Acknowledgment

The authors acknowledge financial support from the Dutch programme COMMIT and from the EU FP7 network of excellence SSPNet.

Supplementary material

13428_2013_398_MOESM1_ESM.zip (33 kb)
ESM 1 (ZIP 33.2 KB)

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Copyright information

© Psychonomic Society, Inc. 2013

Authors and Affiliations

  • Ronald Poppe
    • 1
    Email author
  • Sophie Van Der Zee
    • 2
  • Dirk K. J. Heylen
    • 1
  • Paul J. Taylor
    • 1
    • 2
  1. 1.Department of Human Media InteractionUniversity of TwenteEnschedeThe Netherlands
  2. 2.Lancaster UniversityLancasterUK

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