Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, United States of America.
Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, United States of America.
Gait Posture. 2022 Feb;92:383-393. doi: 10.1016/j.gaitpost.2021.10.039. Epub 2021 Nov 11.
Stair descent analysis has been typically limited to laboratory staircases of 4 or 5 steps. To date there has been no report of gait parameters during unconstrained stair descent outside of the laboratory, and few motion capture datasets are publicly available.
We aim to collect a dataset and perform gait analysis for stair descent outside of the laboratory. We aim to measure basic kinematic and kinetic gait parameters and foot placement behavior.
We present a public stair descent dataset from 101 unimpaired participants aged 18-35 on an unconstrained 13-step staircase collected using wearable sensors. The dataset consists of kinematics (full-body joint angle and position), kinetics (plantar normal forces, acceleration), and foot placement for 30,609 steps.
We report the lower limb joint angle ranges (30° and 8° for hip flexion and extension, 85° and -11° for knee flexion and extension, and 31° and 28° for ankle dorsi- and plantar-flexion). The self-selected speed was 0.79 ± 0.16 m/s, with cycle duration of 0.97 ± 0.18 s. Mean foot overhang as a percentage of foot length was 17.07 ± 6.66 %, and we calculate that foot size explains only 6% of heel placement variation, but 79% of toe placement variation. We also find a minor but significant asymmetry between left and right maximum hip flexion angle, though all other measured parameters were symmetrical.
This is the first quantitative observation of gait data from a large number (n = 101) of participants descending an unconstrained staircase outside of a laboratory. This study enables analysis of gait characteristics including self-selected walking speed and foot placement to better understand typical stair gait behavior. The dataset is a public resource for understanding typical stair descent.
台阶下降分析通常仅限于实验室的 4 或 5 步台阶。迄今为止，还没有关于实验室外不受约束的台阶下降时步态参数的报告，并且公开可用的运动捕捉数据集很少。
我们旨在收集实验室外台阶下降的数据集并进行步态分析。我们旨在测量基本运动学和动力学步态参数以及脚部放置行为。
我们提出了一个公共的台阶下降数据集，该数据集来自 101 名年龄在 18-35 岁之间的未受损参与者，他们在不受约束的 13 步楼梯上使用可穿戴传感器进行了测量。该数据集包括运动学（全身关节角度和位置）、动力学（足底法向力、加速度）和 30609 步的脚部放置。
我们报告了下肢关节角度范围（髋关节屈伸 30°和 8°，膝关节屈伸 85°和-11°，踝关节背屈和跖屈 31°和 28°）。自我选择的速度为 0.79±0.16 m/s，周期持续时间为 0.97±0.18 s。脚部悬垂的平均值为脚部长度的 17.07±6.66%，我们计算出脚部尺寸仅解释了脚跟放置变化的 6%，但解释了脚趾放置变化的 79%。我们还发现左右最大髋关节屈曲角度之间存在轻微但显著的不对称，但所有其他测量参数都是对称的。
这是首次对实验室外大量（n=101）参与者进行无约束台阶下降的步态数据进行定量观察。这项研究能够分析步态特征，包括自我选择的行走速度和脚部放置，以更好地了解典型的台阶步态行为。该数据集是理解典型台阶下降的公共资源。
