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• W3153809369 abstract "Abstract 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." @default.
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• W3153809369 date "2021-04-12" @default.
• W3153809369 modified "2023-10-12" @default.
• W3153809369 title "Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds" @default.
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• W3153809369 doi "https://doi.org/10.1038/s41597-021-00881-3" @default.
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