Wrist and Tibia/Shoe Mounted IMU Measurement Results for Gait Analysis

This document describes a dataset of measurement results collected using wrist, tibia and shoe mounted inertial sensors. The main purpose of the dataset was to test signal translation algorithms converting signals registered using the wrist-worn sensor e.g. a smartwatch to signals which would be measured with a shoe or tibia - mounted device. The dataset includes tri-axial acceleration and angular velocity registered during several walks. More details are included in the dataset_description pdf file. When using the data, please consider also citing the original paper, for which it was collected: Kolakowski, M.; Djaja-Josko, V.; Kolakowski, J.; Cichocki, J. Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks. Sensors 2024, 24, 293. https://doi.org/10.3390/s24010293 The dataset will be gradually updated as new data are gathered.本文件介绍了一款由佩戴于手腕、胫骨及鞋部的惯性传感器（inertial sensors）采集得到的测量结果数据集。该数据集的核心用途为测试信号转换算法，该算法可将佩戴于手腕的传感器（如智能手表（smartwatch））采集的信号，转换为鞋部或胫骨搭载设备所测得的信号。本数据集包含多次步行过程中采集的三轴加速度（tri-axial acceleration）与角速度（angular velocity）数据。 数据集的更多详细信息可参见dataset_description.pdf文件。 使用该数据集时，请一并引用其配套的原创研究论文：Kolakowski, M.; Djaja-Josko, V.; Kolakowski, J.; Cichocki, J. 《基于神经网络（Neural Networks）的腕部-胫骨/鞋部惯性测量结果转换》. Sensors, 2024, 24, 293. https://doi.org/10.3390/s24010293 本数据集将随着新数据的采集逐步更新。