Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques.
Claudia LatellaSilvio TraversaroDiego FerigoYeshasvi TirupachuriLorenzo RapettiFrancisco Javier Andrade ChavezFrancesco NoriDaniele PucciPublished in: Sensors (Basel, Switzerland) (2019)
The paper presents a stochastic methodology for the simultaneous floating-base estimation of the human whole-body kinematics and dynamics (i.e., joint torques, internal and external forces). The paper builds upon our former work where a fixed-base formulation had been developed for the human estimation problem. The presented approach is validated by presenting experimental results of a health subject equipped with a wearable motion tracking system and a pair of shoes sensorized with force/torque sensors while performing different motion tasks, e.g., walking on a treadmill. The results show that joint torque estimates obtained by using floating-base and fixed-base approaches match satisfactorily, thus validating the present approach.