Data of pressure sensors and accelerometer under smart insole

Dataset of a smart insole that are used to estimating stride length. Eight participants wore a pair of smart insoles and Gait Up. For a period of six minutes, each participant walked back and forth on a predefined 20-meter pathway in the indoor setting, and the numbers of round trips and strides taken were counted. The smart insole is equipped of five pressure sensors and one 3D accelerometer. The actual total distance was calculated by multiplying the number of round trips by 40 meters. Two stride length estimation approaches based on the director coefficients of acceleration data (Approach-1) and Dynamic Time Warping (Approach-2) using smart insoles were used.

本数据集为用于步长估算的智能鞋垫数据集。共有8名受试者穿戴一对智能鞋垫与Gait Up设备开展实验：每位受试者在室内预设的20米步道上往返行走6分钟，并记录其往返次数与总步数。该智能鞋垫搭载5个压力传感器与1个三维加速度传感器（3D accelerometer）。实际总步行距离通过往返次数乘以40米计算得到。本次实验采用两种基于智能鞋垫采集数据的步长估算方法：其一基于加速度数据的方向系数（方法1），其二基于动态时间规整（Dynamic Time Warping，方法2）。