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、年龄介于18至47岁的受试者的惯性运动数据与光学运动数据。研究人员将一部智能手机与一个惯性测量单元（IMU）固定于受试者的一条腿部，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，记录其三维运动轨迹。实验要求受试者以自然步速在平直步道上行进。每名受试者在分两日开展的两次实验中，各完成10次测试并进行预处理。总计可得到500组三维运动轨迹测试数据、500组来自IMU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。