2017
DOI: 10.7717/peerj.3626
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A data set with kinematic and ground reaction forces of human balance

Abstract: 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 subj… Show more

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Cited by 37 publications
(44 citation statements)
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“…In this study, the coordinates of the center of pressure (COP) were computed for a complete repetition according to Equations ( 1 ) and ( 2 ) and selected as input features instead of ground reaction force and moments (GRF&Ms). As the participant sways during exercise, the COP position varies over time and is one of the most commonly used features to quantify a person’s postural sway in both clinical and research contexts [ 36 ]. Comparing with the GRF&Ms, the COP features are more robust to inter-trial variability since they can remove the effect of the variability of different standing positions on the force plate.…”
Section: Materials and Methodsmentioning
confidence: 99%
“…In this study, the coordinates of the center of pressure (COP) were computed for a complete repetition according to Equations ( 1 ) and ( 2 ) and selected as input features instead of ground reaction force and moments (GRF&Ms). As the participant sways during exercise, the COP position varies over time and is one of the most commonly used features to quantify a person’s postural sway in both clinical and research contexts [ 36 ]. Comparing with the GRF&Ms, the COP features are more robust to inter-trial variability since they can remove the effect of the variability of different standing positions on the force plate.…”
Section: Materials and Methodsmentioning
confidence: 99%
“…Dataset. To evaluate the performance of QUBA, we use the publicly available dataset provided by [11], and we start by briefly describing its content. We would like to emphasize that the version of QUBA used in these experiments was trained on the database of [3] (see Section 3), which is significantly different from this one.…”
Section: Experimental Evaluationmentioning
confidence: 99%
“…The results show no meaningful difference between the two populations, regardless of the conditions. This might be partially explained by the broad definition of physical activity [11], as in this dataset no amount of time or intensity is specified.…”
Section: Physical Activitymentioning
confidence: 99%
“…The ability to identify, in a signal, the various cycles, phases and events of the gait, is essential to the understanding of human walking. In the literature, numerous studies have been proposed, using many different measurement apparatus: surface electromyography sensors [6], instrumented treadmills [12], motion capture camera [9], etc. In this paper, as in several other published works [3,2,5,13,14], we resort to foot-worn Inertial Measurement Units (IMUs) to measure subjects' movements.…”
Section: Introductionmentioning
confidence: 99%