Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics

@article{Rapetti2020ModelBasedRM,
  title={Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics},
  author={Lorenzo Rapetti and Yeshasvi Tirupachuri and Kourosh Darvish and Claudia Latella and Daniele Pucci},
  journal={Algorithms},
  year={2020},
  volume={13},
  pages={266}
}
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for solving dynamically the inverse kinematics of highly articulate systems such as humans. We present a method based on the integration of differential kinematics using distance measurement on SO(3) for which the convergence is proved using Lyapunov analysis. An experimental scenario, where the motion of a human subject is tracked in static and dynamic… 

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