Data for: Descending 13 real world steps: A dataset and analysis of stair descent

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. 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. The dataset is a public resource for understanding typical stair descent.

楼梯下行分析通常局限于4级或5级台阶的实验室楼梯场景。迄今为止，尚无针对实验室外无约束条件下楼梯下行的步态参数相关报道，且公开可用的运动捕捉数据集寥寥无几。本研究旨在采集实验室外场景下的楼梯下行数据集并开展步态分析，测量基础运动学、动力学步态参数以及足部放置行为。我们公开了一款基于可穿戴传感器采集的楼梯下行公开数据集：招募了101名年龄在18至35岁之间的无功能障碍受试者，在一处无约束的13级台阶楼梯上完成下行任务。该数据集涵盖30609次下行台阶的运动学数据（全身关节角度与位置）、动力学数据（足底法向力、加速度）以及足部放置信息。这是首个针对实验室外无约束楼梯下行场景、基于大样本量（n=101）受试者的步态数据定量观测成果，可为典型楼梯下行行为的研究提供公开的基础资源。