Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks

Abstract

This paper reports the kinematic, kinetic and electromyographic (EMG) dataset of human locomotion during level walking at different velocities, toe- and heel-walking, stairs ascending and descending. A sample of 50 healthy subjects, with an age between 6 and 72 years, is included. For each task, both raw data and computed variables are reported including: the 3D coordinates of external markers, the joint angles of lower limb in the sagittal, transversal and horizontal anatomical planes, the ground reaction forces and torques, the center of pressure, the lower limb joint mechanical moments and power, the displacement of the whole body center of mass, and the surface EMG signals of the main lower limb muscles. The data reported in the present study, acquired from subjects with different ages, represents a valuable dataset useful for future studies on locomotor function in humans, particularly as normative reference to analyze pathological gait, to test the performance of simulation models of bipedal locomotion, and to develop control algorithms for bipedal robots or active lower limb exoskeletons for rehabilitation.

Alternate abstract:

Measurement(s)kinematic data • kinetic data • electromyography • locomotor behavior trait • motion analysis dataTechnology Type(s)stereophotogrammetry • dynamometric force platform • electromyography device • multifactorial motion analysisFactor Type(s)type of locomotor task • age • sex • gait speed • body height • body weightSample Characteristic - OrganismHomo sapiens

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11112980