[IPOL discuss] [IPOL announce] new article: A Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units
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Fri Dec 8 20:29:42 CET 2023
A new article is available in IPOL: https://www.ipol.im/pub/art/2023/497/
Cyril Voisard, Nicolas de l’Escalopier, Albane Moreau, Alienor
Vienne-Jumeau, Damien Ricard, and Laurent Oudre,
A Reference Data Set for the Study of Healthy Subject Gait with Inertial
Measurements Units,
Image Processing On Line, 13 (2023), pp. 314–320.
https://doi.org/10.5201/ipol.2023.497
Abstract
This article provides a comprehensive description of a dataset
consisting of 110 multivariate gait signals collected using three
inertial measurement units. The data was obtained from a sample of 19
healthy subjects who followed a predefined protocol: standing still,
walking 10 meters, turning around, walking back, and stopping. One
notable aspect of this dataset is the inclusion of extensive signal
metadata, including the start and end timestamps of each footstep, along
with contextual information for each trial. Part of this dataset was
previously used to develop and assess a gait event detection algorithm
[Voisard et al., Automatic Gait Events Detection with Inertial
Measurement Units: Healthy Subjects and Moderate to Severe Impaired
Patients], and as a reference for a multidimensional tool in gait
quantification [Voisard et al., Innovative Multidimensional Gait
Evaluation using IMU in Multiple Sclerosis: introducing the Semiogram].
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