Understanding the lower limb kinematic, kinetic, and electromyography (EMG) data interrelation in controlled speeds is challenging for fully assessing human locomotion conditions. This paper provides a complete dataset with the above-mentioned raw and processed data simultaneously recorded for sixteen healthy participants walking on a 10 meter-flat surface at seven controlled speeds (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 km/h). The raw data include 3D joint trajectories of 24 retro-reflective markers, ground reaction forces (GRF), force plate moments, center of pressures, and EMG signals from
Tibialis Anterior
,
Gastrocnemius Lateralis
,
Biceps Femoris
, and
Vastus Lateralis
. The processed data present gait cycle-normalized data including filtered EMG signals and their envelope, 3D GRF, joint angles, and torques. This study details the experimental setup and presents a brief validation of the data quality. The presented dataset may contribute to (
i
) validate and enhance human biomechanical gait models, and (
ii
) serve as a reference trajectory for personalized control of robotic assistive devices, aiming an adequate assistance level adjusted to the gait speed and user’s anthropometry.
Measurement(s)
walking • Lower Extremity
Technology Type(s)
motion capture • electromyography • force platform
Factor Type(s)
sex • age • height • mass • leg length • foot length
Sample Characteristic - Organism
Homo sapiens
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.13169348...

Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds

10.1038/s41597-021-00881-3