A multi-sensor and cross-session 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来自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。研究人员将智能手机与惯性测量单元（IMU）固定于其中一条腿部以采集加速度数据，同时在受试者全身粘贴42个反光标记点以记录三维运动轨迹。要求受试者以自然步速在平直步道上行走。每名受试者在两个不同日期开展的测试时段中，各完成10次行走试验，并对采集数据进行预处理。最终共计得到500组三维运动轨迹试验数据、500组IMU加速度试验数据以及500组智能手机加速度试验数据。