Multi-position wearable human activity recognition dataset

In our dataset,  fifteen CAPTIV inertial motion capture sensor units were globally placed on fifteen parts of each volunteer's body to perform six defined physical activities. Each unit consists of a three-axis acceleration, a three-axis gyroscope and a three-axis magnetometer, which can also provide the attitude measurements of the unit. All readings are recorded at a sampling rate of 32 Hz. Different from other publicly-available datasets, in our ground-truth data we use the rotations of joints as input data instead of the original IMUs data. The dataset is divided into two versions and both are from the same acquisition experiments. The MPWHAR dataset is the bvh data. It totally has 45 channels of rotation data from 14 joints and a Root Hip node. The rotation of each joint consists of three channels: X_rotation, Y_rotation and Z_rotation. In MPJA-HAD, the angle data of the whole body are collected. And the joint angle is calculated by two adjacent on-body sensors, for example, using the sensors on the hand and the lower-arm to measure the wrist joint angle values.  Therefore, the  MPJA-HAD dataset totally has 34 channels of joint angle data for 14 joints of the whole body. The fourteen joints are neck, chest, hip, shoulders, elbows, wrists, hips, knees and ankles.