A public dataset of overground walking kinetics and full-body kinematics in healthy adult individuals
| Main Author: | Horst, Fabian |
|---|---|
| Other Authors: | Lapuschkin, Sebastian, Samek, Wojciech, Müller, Klaus-Robert, Schöllhorn, Wolfgang I. |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/svx74xcrjr |
Daftar Isi:
- The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy subjects (29 females, 28 males; M age: 23.1 years, SD 2.7; M body height: 1.74 m, SD 0.10; M body mass: 67.9 kg, SD 11.3; M body mass index: 22.2 kg/m2, SD 2.0) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The .c3d files are named in the following format: S{subject_id}_{trial number}_{static/gait}.c3d. Separate text files were generated for the kinematic marker trajetories {.tsv} and kinetic force signals of the first {_f_1.tsv} and second {_f_2.tsv} force plate. When using (any part) of this dataset, please cite this dataset and the original article: Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and full-body kinematics in healthy individuals. Mendeley Data, v2. http://dx.doi.org/10.17632/svx74xcrjr.2 Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2019). Explaining the unique nature of individual gait patterns with deep learning. Scientific Reports, 9, 2391. https://doi.org/10.1038/s41598-019-38748-8 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de