The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18394190

Marit Zandbergen; Jasper Reenalda; Robbert van Middelaar; Romano Ferla; Jaap Buurke et. al. (2022): Dataset used for manuscript: Drift-Free 3D Orientation and Displacement (DFOD) estimation for quasi-cyclical movements using one inertial measurement unit: Application to running. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18394190.v1

Dataset

• Biomedical Engineering
• Human Movement and Sports Science

drift correction algorithm, Inertial Measurement Unit (IMU), movement analytics methodology

CC BY 4.0

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by Marit Zandbergen , Jasper Reenalda , Robbert van Middelaar , Romano Ferla , Jaap Buurke , Peter Veltink

This dataset contains simultaneously measured data of an inertial measurement unit (IMU) on the lower leg and an optical motion cluster marker set on the same lower leg. Goal of the measurements was to develop a new algorithm to estimate Drift-Free 3D Orientation and Displacement (DFOD) using the quasi-cyclical nature of lower leg movements during running. This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of METC Twente.

• 2022-01-28 first online, published, posted

4TU.ResearchData

Matlab files

Drift-Free 3D Orientation and Displacement Estimation for Quasi-Cyclical Movements Using One Inertial Measurement Unit: Application to Running

• EFRO OP Oost grant number 0784

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Biomedical Signals and Systems Group (BSS)
Roessingh Research and Development, Rehabilitation Technology group