Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany.
Department of Media & Digital Technologies, Institute of Creative Media Technologies, St. Pölten University of Applied Sciences, St. Pölten, Austria.
Sci Data. 2021 Sep 2;8(1):232. doi: 10.1038/s41597-021-01014-6.
The Gutenberg Gait Database comprises data of 350 healthy individuals recorded in our laboratory over the past seven years. The database contains ground reaction force (GRF) and center of pressure (COP) data of two consecutive steps measured - by two force plates embedded in the ground - during level overground walking at self-selected walking speed. The database includes participants of varying ages, from 11 to 64 years. For each participant, up to eight gait analysis sessions were recorded, with each session comprising at least eight gait trials. The database provides unprocessed (raw) and processed (ready-to-use) data, including three-dimensional GRF and two-dimensional COP signals during the stance phase. These data records offer new possibilities for future studies on human gait, e.g., the application as a reference set for the analysis of pathological gait patterns, or for automatic classification using machine learning. In the future, the database will be expanded continuously to obtain an even larger and well-balanced database with respect to age, sex, and other gait-specific factors.
古腾堡步态数据库包含了过去七年中我们实验室中 350 名健康个体的数据。该数据库包含了在自我选择的步行速度下，在水平地面上行走时，由嵌入地面的两个力板测量的两个连续步的地面反作用力（GRF）和压力中心（COP）数据。该数据库包括年龄在 11 至 64 岁之间的参与者。对于每个参与者，最多可以记录八个步态分析会话，每个会话至少包含八个步态试验。该数据库提供了未经处理的（原始）和处理过的（即用）数据，包括在站立阶段的三维 GRF 和二维 COP 信号。这些数据记录为未来的人类步态研究提供了新的可能性，例如，作为分析病理性步态模式的参考集，或使用机器学习进行自动分类。未来，数据库将不断扩展，以获得一个更大、更均衡的数据库，涵盖年龄、性别和其他特定于步态的因素。
