Descending 13 real world steps: A dataset and analysis of stair descent.
Descending 13 real world steps: A dataset and analysis of stair descent.
复制标题
下降 13 个现实世界台阶:楼梯下降的数据集和分析。
DOI:
10.1016/j.gaitpost.2021.10.039
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发表时间:
2021
期刊:
影响因子:
2.4
通讯作者:
E. Rombokas
中科院分区:
文献类型:
--
作者:
Astrini Sie;Maxim Karrenbach;Charlie Fisher;S. Fisher;Nathaniel Wieck;Callysta Caraballo;Elisabeth Case;David Boe;B. Muir;E. Rombokas
Background: 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. Research question: 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. Methods: 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. Results: 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. Significance: 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.
影响因子:
2.4
作者:
Besier, Thor F.;Fredericson, Michael;Gold, Garry E.;Beaupre, Gary S.;Delp, Scott L.
通讯作者:
Delp, Scott L.