Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals

Abstract

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.

Dataset of lower extremity joint angles, moments and forces in distance running

“…In terms of the marker gaps, a manual gap filling was performed using ‘pattern fill’ according to the shape of another trajectory without a gap to fill the selected gap, and force plate was checked (and zero-level) before each individual session to ensure an accurate measurement of ground reaction forces. The similar steps were followed as the recently published data descriptor articles [ 64 , 72 , 73 , 74 , 75 , 76 ].…”

Real-world measurements of ground reaction forces of normal gait of young adults wearing various footwear

“…Just recently, four datasets have been published that could be used to benchmark GRF-related algorithms 7 , 14 – 16 .…”

“…The Gutenberg Gait Database 16 (GGD) is better suited to analyzing GRFs from the point of view of biomechanics, especially for clinical purposes. It contains mainly data related to barefoot walking and to orthopedic shoes, so it is of limited use for people interested in studying GRF-footwear relations of casual shoes, for non-medical commercial applications.…”

Always Pay Attention to Which Model of Motor Learning You Are Using

“…This approach also supports a research strategy in the political dimension that is less centralized, less focused on selected programs, and less susceptible to specific politics. The distributed recording of longitudinal studies on single cases and their anonymous saving in data banks [ 351 ] in each laboratory could be requested for specific research questions to achieve the sample sizes necessary to allow classical statistics. Having a distributed collection of data from different cultures would enormously broaden the understanding of our research object with its temporal changes, and could lead to a scientific field without physics envy for replicability [ 9 , 12 ].…”