Running dataset summary

This dataset could provide kinematic data of lower limbs and vertical ground reaction forces (vGRFs) during treadmill running at 12, 14, and 16km/h, as well as include the originally predicted result of the Wavelet Neural Network model. The study recruited 9 high-lever runners (3 males and 6 females) to participate in this experiment. These kinematic data and vGRFs were synchronously recorded by using the motion capture system and instrumented treadmill. The 12 kinematic variables included the velocity of segment center mass in the thigh, shank, and foot, as well as the joint ankle, joint angular velocity, and joint angular acceleration in the hip, knee, and ankle. All data on the right and left limbs were totally recorded about 540 running cycles.