INSERM, CIC 1432, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
CHU Dijon-Bourgogne, Centre d'Investigation Clinique, Module Plurithématique, Plateforme d'Investigation Technologique, 21000, Dijon, France.
Sci Data. 2024 May 30;11(1):556. doi: 10.1038/s41597-024-03420-y.
Used on clinical and sportive context, three-dimensional motion analysis is considered as the gold standard in the biomechanics field. The proposed dataset has been established on 30 asymptomatic young participants. Volunteers were asked to walk at slow, comfortable and fast speeds, and to run at comfortable and fast speeds on overground and treadmill using shoes. Three dimensional trajectories of 63 reflective markers, 3D ground reaction forces and moments were simultaneously recorded. A total of 4840 and 18159 gait cycles were measured for overground and treadmill walking, respectively. Additionally, 2931 and 18945 cycles were measured for overground and treadmill running, respectively. The dataset is presented in C3D and CSV files either in raw or pre-processed format. The aim of this dataset is to provide a complete set of data that will help for the gait characterization during clinical gait analysis and in a sportive context. This data could be used for the creation of a baseline database for clinical purposes to research activities exploring the gait and the run.
在临床和运动领域中，三维运动分析被认为是生物力学领域的金标准。该数据集是基于 30 名无症状的年轻参与者建立的。志愿者被要求在地面和跑步机上穿着鞋子以慢、舒适和快的速度行走，以及以舒适和快的速度跑步。同时记录了 63 个反光标记、三维地面反作用力和力矩的三维轨迹。分别测量了地面行走和跑步机行走的 4840 和 18159 个步态周期。此外，分别测量了地面跑步和跑步机跑步的 2931 和 18945 个周期。该数据集以 C3D 和 CSV 文件的形式呈现，有原始和预处理两种格式。该数据集的目的是提供一套完整的数据，以帮助进行临床步态分析和运动背景下的步态特征描述。该数据可用于为临床目的创建基线数据库，以研究探索步态和跑步的活动。
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