A multi-sensor human gait dataset captured through an optical system and inertial measurement units

This multi-sensor gait dataset comprises inertial and optical motion data from 25 subjects free of lower-limb injury, aged between 18 and 47 years. A smartphone and an IMU were attached to one of the subject's legs to capture accelerometer data, and 42 reflexive markers were taped over the whole body to record three-dimensional trajectories. The participants were instructed to walk on a straight-level walkway at their normal pace. Ten trials for each participant were recorded and preprocessed in each of two sessions, performed on different days. This amounts to 500 trials of three-dimensional trajectories, 500 trials of accelerations from the IMU, and 500 trials of accelerations from the smartphone.本多传感器步态数据集包含25名无下肢损伤受试者的惯性与光学运动数据，受试者年龄介于18至47岁之间。研究人员将一部智能手机与一台惯性测量单元（Inertial Measurement Unit, IMU）安装在其中一条受试者腿部，以采集加速度计数据；同时在受试者全身粘贴42个反光标记点，用于记录三维运动轨迹。要求受试者以自然步速在平直步道上行走。每位受试者在两个不同日期的测试时段中，各完成十次行走测试并完成预处理。综上，本次数据集共包含500组三维运动轨迹测试数据、500组来自惯性测量单元的加速度测试数据，以及500组来自智能手机的加速度测试数据。