An elaborate data set on human gait and the effect of mechanical perturbations
An elaborate data set on human gait and the effect of mechanical perturbations
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DOI：
10.7717/peerj.918
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发表时间：
2015-04-28
期刊：
影响因子：
2.7
通讯作者：
van den Bogert, Antonie J.
中科院分区：
文献类型：
--
作者：
Moore, Jason K.;Hnat, Sandra K.;van den Bogert, Antonie J.
在这里，我们分享了一个丰富的步态数据集，收集了15名受试者在三种速度下在仪器跑步机上行走。每个试验包括120 s的正常行走和480 s的行走，同时在每个站立阶段期间纵向扰动，跑步机带速度的伪随机波动。数据集中包括总共约1.5小时的正常行走（>5000个步态周期）和6小时的扰动行走（> 20，000个步态周期）。我们提供全身标记轨迹和地面反应载荷，以及处理后的数据，包括步态事件，2D关节角度，角速率和关节扭矩沿着用于计算的开源软件。该协议进行了详细描述，并支持额外的精心制作的Meta数据为每个试验。这些数据可能有助于验证或生成能够模拟正常周期性步态和非周期性扰动步态的数学模型。
Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 s of normal walking and 480 s of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations. The protocol is described in detail and supported with additional elaborate meta data for each trial. This data can likely be useful for validating or generating mathematical models that are capable of simulating normal periodic gait and non-periodic, perturbed gaits.