Data belonging to the paper: Estimation of sagittal-plane whole-body angular momentum during perturbed and unperturbed gait using simplified body models
doi:10.4121/0bd17d23-7213-4de3-b383-edd499d555a6.v1
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: 10.4121/0bd17d23-7213-4de3-b383-edd499d555a6
doi: 10.4121/0bd17d23-7213-4de3-b383-edd499d555a6
Datacite citation style:
Zhang, Junhao; van Mierlo, Michelle; Edwin van Asseldonk; Peter Veltink (2024): Data belonging to the paper: Estimation of sagittal-plane whole-body angular momentum during perturbed and unperturbed gait using simplified body models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0bd17d23-7213-4de3-b383-edd499d555a6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
319
views
76
downloads
licence
CC BY 4.0
This dataset contains gait data used to produce the results of the paper: 'Estimation of sagittal-plane whole-body angular momentum during perturbed and unperturbed gait using simplified body models. 10 healthy participants walked on a treadmill while receiving perturbations of the whole body angular momentum at the moment of toe off right. Meanwhile optical motion capture was recorded. The dataset contains the following measures: segmental angular momenta for each participant, gait events information, and evaluation metrics results used in the paper.
history
- 2024-01-25 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
associated peer-reviewed publication
Estimation of sagittal-plane whole-body angular momentum during perturbed and unperturbed gait using simplified body models
funding
- This work is part of the research program Wearable Robotics with project number P16-05, which is (partly) funded by the Dutch Research Council (NWO).
organizations
University of Twente, Department of Biomedical Signals and SystemsUniversity of Twente, Department of Biomechanical Engineering
DATA
files (1)
- 320,908,246 bytesMD5:
76c40a2fe4bee532b5652833a0a6447b
Published data.zip -
download all files (zip)
320,908,246 bytes unzipped