ArticleScientific data2024
3D motion analysis dataset of healthy young adult volunteers walking and running on overground and treadmill.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Establishment of Reference Values for Selected Spatiotemporal and Kinematic Running Parameters in Healthy Adult Recreational Runners from Barranquilla, Colombia.Journal of functional morphology and kinesiology · 2026Article
- A public dataset of treadmill walking kinematics and kinetics at steady speeds in healthy individuals.Data in brief · 2026Article
- Whole-body optical marker and ground reaction force data of healthy humans performing non-cyclic activities.Scientific data · 2025Article
- Evolution of joint power across the lifespan during walking.Journal of neuroengineering and rehabilitation · 2025Article
- Comparison of marker-based and center-of-pressure-based approaches for calculating the margin of stability.Frontiers in sports and active living · 2025Article
- Three-dimensional gait analysis in spinal disorders: biomechanical insights and clinical applications for diagnosis, surgical planning, and rehabilitation.Frontiers in neurology · 2025Review
- Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model.Scientific data · 2024Article
- 3D motion analysis dataset of healthy young adult volunteers walking and running on overground and treadmill.Scientific data · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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