A data set with kinematic and ground reaction forces of human balance

This article describes a public data set containing the three-dimensional kinematics of the whole human body and the ground reaction forces (with a dual force platform setup) of subjects who were standing still for 60 s in different conditions, in which the subjects’ vision and the standing surface...

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Vydáno v:PeerJ (San Francisco, CA) Ročník 5; s. e3626
Hlavní autoři: dos Santos, Damiana A., Fukuchi, Claudiane A., Fukuchi, Reginaldo K., Duarte, Marcos
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States PeerJ. Ltd 27.07.2017
PeerJ, Inc
PeerJ Inc
Témata:
Ankle
Balance
Bioengineering
Biomechanics
Biomedical engineering
Data collection
Data processing
Datasets
Equilibrium (Physiology)
Human body
Human mechanics
Kinematics
Kinesiology
Laboratories
Motor control
Neuroscience
Older people
Physiological aspects
Posture
Posturography
Research methodology
Stabilography
Studies
Biomechanics
Posturography
Motor control
Posture
Stabilography
ISSN:2167-8359, 2167-8359
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Popis
Shrnutí:This article describes a public data set containing the three-dimensional kinematics of the whole human body and the ground reaction forces (with a dual force platform setup) of subjects who were standing still for 60 s in different conditions, in which the subjects’ vision and the standing surface were manipulated. Twenty-seven young subjects and 22 old subjects were evaluated. The data set comprises a file with metadata plus 1,813 files with the ground reaction force (GRF) and kinematics data for the 49 subjects (three files for each of the 12 trials plus one file for each subject). The file with metadata has information about each subject’s sociocultural, demographic, and health characteristics. The files with the GRF have the data from each force platform and from the resultant GRF (including the center of pressure data). The files with the kinematics contain the three-dimensional positions of 42 markers that were placed on each subject’s body and 73 calculated joint angles. In this text, we illustrate how to access, analyze, and visualize the data set. All the data is available at Figshare (DOI: 10.6084/m9.figshare.4525082 ), and a companion Jupyter Notebook presents programming code to access the data set, generate analyses and other examples. The availability of a public data set on the Internet that contains these measurements and information about how to access and process this data can potentially boost the research on human postural control, increase the reproducibility of studies, and be used for training and education, among other applications.
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ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.3626