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AMAB: automated measurement and analysis of body motion

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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AMAB: automated measurement and analysis of body motion. / Poppe, Ronald; Van der Zee, Sophie; Heylen, Dirk et al.
In: Behavior Research Methods, Vol. 46, No. 3, 09.2014, p. 625-633.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Poppe, R, Van der Zee, S, Heylen, D & Taylor, PJ 2014, 'AMAB: automated measurement and analysis of body motion', Behavior Research Methods, vol. 46, no. 3, pp. 625-633. https://doi.org/10.3758/s13428-013-0398-y

APA

Poppe, R., Van der Zee, S., Heylen, D., & Taylor, P. J. (2014). AMAB: automated measurement and analysis of body motion. Behavior Research Methods, 46(3), 625-633. https://doi.org/10.3758/s13428-013-0398-y

Vancouver

Poppe R, Van der Zee S, Heylen D, Taylor PJ. AMAB: automated measurement and analysis of body motion. Behavior Research Methods. 2014 Sept;46(3):625-633. doi: 10.3758/s13428-013-0398-y

Author

Poppe, Ronald ; Van der Zee, Sophie ; Heylen, Dirk et al. / AMAB : automated measurement and analysis of body motion. In: Behavior Research Methods. 2014 ; Vol. 46, No. 3. pp. 625-633.

Bibtex

@article{9d8876d3eaa640f1b7067546bce07dc6,
title = "AMAB: automated measurement and analysis of body motion",
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",
author = "Ronald Poppe and {Van der Zee}, Sophie and Dirk Heylen and Taylor, {Paul J}",
year = "2014",
month = sep,
doi = "10.3758/s13428-013-0398-y",
language = "English",
volume = "46",
pages = "625--633",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer New York LLC",
number = "3",

}

RIS

TY - JOUR

T1 - AMAB

T2 - automated measurement and analysis of body motion

AU - Poppe, Ronald

AU - Van der Zee, Sophie

AU - Heylen, Dirk

AU - Taylor, Paul J

PY - 2014/9

Y1 - 2014/9

N2 - 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

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

KW - Motion capture

KW - Human motion analysis

KW - Measurement of body motion

KW - Body motion analysis

U2 - 10.3758/s13428-013-0398-y

DO - 10.3758/s13428-013-0398-y

M3 - Journal article

VL - 46

SP - 625

EP - 633

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 3

ER -