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.

本数据集说明文档介绍了一套基于腕部、胫骨及鞋载惯性传感器采集的测量结果数据集。该数据集的核心用途为测试信号转换算法，该算法可将腕部佩戴传感器（如智能手表）所采集的信号，转换为鞋载或胫骨搭载设备所测得的信号。本数据集包含多次行走过程中采集的三轴加速度与角速度数据。

更多详细信息请参阅数据集说明PDF文件。

使用本数据集时，请一并引用其依托的原始研究论文：
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

本数据集将随新数据的持续采集逐步更新。