High-density EMG, IMU, Kinetic, and Kinematic Open-Source Dataset

This dataset contains high-density EMG and biomechanics data from 10 healthy human participants (five females) walking at a variety of walking speeds and ambulation conditions. Each condition was completed at three different walking speeds (slow, self-selected, and fast) with the exception of stand-to-walk, sit-to-stand-to-walk, and sidestepping, where the trials were completed at self-selected walking speed under two different conditions for the starting/stepping leg (either left or right). The dataset contains three trials per condition for a total of 27 trials during level ground walking and 54 trials during stairs (170mm step height, 410mm step depth) and ramps (5° and 15° ramps) walking. High-density EMG data contains 64 channels of bipolar EMG recordings from the tibialis anterior, peroneal, and the gastrocnemius lateralis and medialis muscles. Biomechanics data include the 3D positions of motion capture markers attached according to the modified Cleveland marker placement protocol, and ground reaction forces recorded with two force platforms. The data set contains both processed and segmented inverse kinematics (IK), inverse dynamics (ID), HD-EMG, IMU, and foot event time stamps, as well as raw markers' positions, forces from the force platforms, HD-EMG, and IMU data. Example scripts for how to compute IK and ID as well as how to access, interpolate, and plot data means and standard deviations are also provided, including a README text file on how to use them.