ROAug 27, 2021

Lower-limb kinematics and kinetics during continuously varying human locomotion

arXiv:2108.12307v1128 citations
Originality Synthesis-oriented
AI Analysis

This dataset is significant for developing robotic prostheses and exoskeletons to assist in community ambulation, but it is incremental as it primarily provides new data rather than novel methods.

The authors tackled the lack of data on lower-limb kinematics and kinetics during continuously varying human locomotion, such as transitions and variable speeds/inclines, by creating a new dataset from ten able-bodied participants that includes walking, running, stair climbing, and transitions like sit-stand and walk-run.

Human locomotion involves continuously variable activities including walking, running, and stair climbing over a range of speeds and inclinations as well as sit-stand, walk-run, and walk-stairs transitions. Understanding the kinematics and kinetics of the lower limbs during continuously varying locomotion is fundamental to developing robotic prostheses and exoskeletons that assist in community ambulation. However, available datasets on human locomotion neglect transitions between activities and/or continuous variations in speed and inclination during these activities. This data paper reports a new dataset that includes the lower-limb kinematics and kinetics of ten able-bodied participants walking at multiple inclines ($\pm$ 0, 5, 10 $^{\circ}$) and speeds (0.8, 1, 1.2 m/s), running at multiple speeds (1.8, 2, 2.2, 2.4 m/s), walking and running with constant acceleration ($\pm$ 0.2, 0.5 $\text{m/s^2}$), and stair ascent/descent with multiple stair inclines (20, 25, 30, 35 $^{\circ}$). This dataset also includes sit-stand transitions, walk-run transitions, and walk-stairs transitions. Data were recorded by a Vicon motion capture system and, for applicable tasks, a Bertec instrumented treadmill.

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