This study describes an open data set of inertial, magnetic, foot–ground contact, and electromyographic signals from wearable sensors during walking at different speeds. These data were acquired from 22 healthy adults using wearable sensors and walking at self-selected comfortable, fast and slow speeds, and standing still. All data are publicly available in the Internet (https://doi.org/10.6084/m9.figshare.7778255). In total, there are data of 9,661 gait strides. This data set also contains files with the instants of the gait events identified using the foot–ground contact sensors and notebooks exemplifying how to access and visualize the data. This data set gives the opportunity to all interested researchers to work with such data, for example, making tests of algorithms for gait event estimation against a common reference, possible.

这项研究描述了可穿戴传感器在不同速度下行走时的惯性，磁性，脚-地面接触和肌电信号的开放数据集。这些数据是使用可穿戴式传感器从22位健康的成年人那里获得的，他们以自己选择的舒适，快慢的速度行走并保持静止。所有数据都可以在Internet（https://doi.org/10.6084/m9.figshare.7778255）上公开获得。总共有9,661个步态迈步数据。该数据集还包含带有脚步接触传感器和笔记本电脑识别的步态事件瞬间的文件，例示了如何访问和可视化数据。该数据集为所有感兴趣的研究人员提供了使用此类数据的机会，例如，可以针对通用参考进行步态事件估计算法的测试。