Dataset of running kinematics, kinetics and muscle activation at different speeds, surface gradients, cadences and with forward trunk lean

Bas Van Hooren*, Kenneth Meijer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Data collection process: This dataset includes running biomechanics measured using an instrumented treadmill combined with three- dimensional motion capture and surface muscle activation among 19 healthy participants (10 males, 9 females, mean ± SD age 23.6 ± 3.7 years, body height 174.9 ± 9.2 m; body mass 67.2 ± 10.4 kg) of various performance levels (untrained to Olympic level athlete). Running biomechanics were measured during thirteen different treadmill running conditions that included five speeds (2.78, 3.0, 3.33, 4.0 and 5.0 m·s-1), four gradients (-6, -3, +3, +6°), three cadences (preferred, ± 10 steps·min-1), and a condition with forward trunk lean. Dataset: Both raw data (.C3D files that include the 3D positions of the markers, ground reaction forces, and surface muscle activation) and processed data (joint angles, joint moments, muscle forces, joint contact forces, all analysed using OpenSim 3.3 musculoskeletal modelling software) are available. Standard subject characteristics such as height and body mass are also available. Reuse potential: The data can be re-used for various purposes including model validation studies, studies that aim to investigate biomechanical outcomes in specific running conditions, and as a reference database of running biomechanics across various conditions in healthy young non-injured individuals.
Original languageEnglish
Article number110312
Number of pages6
JournalData in brief
Volume54
DOIs
Publication statusPublished - 1 Jun 2024

Keywords

  • Biomechanics
  • C3D files
  • EMG
  • Kinematics
  • Kinetics
  • Muscle activation
  • Muscle force
  • OpenSim

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