A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day

The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of nine healthy subjects (3 female, 6 male; M age: 27.4 years, SD 3.0; M body height: 1.74 m, SD 0.11; M body mass: 73.2 kg, SD 13.3) 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}_S{session_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., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day. Mendeley Data, v1. http://dx.doi.org/10.17632/b48n46bfry.1

Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2017). Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression. PloS one, 12(6), e0179738. https://doi.org/10.1371/journal.pone.0179738

Please feel free to send us your technical questions, requests and bug reports by email: [e-mail]

本数据集包含了九位健康受试者（其中女性三名，男性六名；平均年龄27.4岁，标准差3.0；平均身高1.74米，标准差0.11；平均体重73.2公斤，标准差13.3）在地面行走过程中的原始运动学和下肢运动学数据（包括.c3d和.tsv格式）。所有受试者均无步态障碍，且下肢无疼痛或损伤。.c3d文件按照以下格式命名：S{受试者ID}_S{会话ID}_{试验编号}_{静态/步态}.c3d。为运动学标记轨迹{.tsv}和第一力板{f_1.tsv}以及第二力板{f_2.tsv}的动力学力信号分别生成了独立的文本文件。在使用本数据集的任何部分时，请引用本数据集及原始文献：Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day. Mendeley Data, v1. http://dx.doi.org/10.17632/b48n46bfry.1。Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2017). Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression. PloS one, 12(6), e0179738. https://doi.org/10.1371/journal.pone.0179738。如需技术问题咨询、请求或错误报告，请通过电子邮件联系我们：[e-mail]。