Dataset for Event Detection in Gait Analysis from 3D-Printed Piezoelectric PLA-based Insole on an Instrumented Treadmill

In the experiment, one test person wearing a ferroelectret insole in the right shoe walks on an instrumented treadmill. The dataset contains data from four ferroelectret sensors in the insole and vertical ground reaction forces (GRF) from an instrumented treadmill across five different walking speeds. The ferroelectret insole data are filtered and given in Volt. The GRF treadmill data from the right side are filtered and given in Newton. The data are segmented into steps from one heel strike to the same foot's following heel strike and normalized into 1000 data points per step. Each row contains one step with 1000 columns. The amount of steps/rows depends on the walking speed: 74 for slowest v050, 124 for fastest v150. Please find the full description in the corresponding publication, full instructions for usage in the README.md file.

本实验中，一名受试者于右脚鞋内穿戴驻极体（ferroelectret）鞋垫，并在带测力装置的跑台上行走。本数据集包含该鞋垫中4个驻极体传感器的采集数据，以及测力跑台记录的五种不同行走速度下的垂直地面反作用力（GRF）数据。驻极体鞋垫采集的数据已完成滤波处理，单位为伏特（Volt）；右侧跑台测得的地面反作用力数据同样经过滤波，单位为牛顿（Newton）。所有数据均按步态周期分段：以一次足跟触地为起点，至同侧足的下一次足跟触地为终点，并将每个步态周期归一化为1000个数据点。每一行对应一个步态周期，包含1000列数据。步态周期的数量（即行数）随行走速度有所差异：最慢速度v050对应74个步态周期，最快速度v150对应124个。完整的数据集说明请参阅相关学术出版物，详细的使用指南可查看README.md文件。