运动学
楼梯
单调的工作
模拟
加速度
计算机科学
攀登
与踏步机
最佳步行速度
物理医学与康复
物理
物理疗法
工程类
医学
结构工程
经典力学
土木工程
作者
Emma Reznick,Kyle Embry,Ross M. Neuman,Edgar Bolívar-Nieto,Nicholas P. Fey,Robert D. Gregg
出处
期刊:Scientific Data
[Nature Portfolio]
日期:2021-10-28
卷期号:8 (1): 282-282
被引量:15
标识
DOI:10.1038/s41597-021-01057-9
摘要
Abstract 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 (±0°; 5° and 10°) and speeds (0.8 m/s; 1 m/s; 1.2 m/s), running at multiple speeds (1.8 m/s; 2 m/s; 2.2 m/s and 2.4 m/s), walking and running with constant acceleration (±0.2; 0.5), and stair ascent/descent with multiple stair inclines (20°; 25°; 30° and 35°). 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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