While reconstructing human poses in 3D from inexpensive sensors has advanced
significantly in recent years, quantifying the dynamics of human motion,
including the muscle-generated joint torques and external forces, remains a
challenge. Prior attempts to estimate physics from reconstructed human poses
have been hampered by a lack of datasets with high-quality pose and force data
for a variety of movements. We present the AddBiomechanics Dataset 1.0, which
includes physically accurate human dynamics of 273 human subjects, over 70
hours of motion and force plate data, totaling more than 24 million frames. To
construct this dataset, novel analytical methods were required, which are also
reported here. We propose a benchmark for estimating human dynamics from motion
using this dataset, and present several baseline results. The AddBiomechanics
Dataset is publicly available at
this https URL

通过 reconstructing human poses in 3D 并使用 AddBiomechanics Dataset，本研究提出了一种估计人体动力学的基准方法。