most citedWhole-Body Human Kinematics Estimation using Dynamical Inverse Kinematics and Contact-Aided Lie Group Kalman Filter

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.RO2022★ 2 cited

Whole-Body Human Kinematics Estimation using Dynamical Inverse Kinematics and Contact-Aided Lie Group Kalman Filter

Prashanth Ramadoss, Lorenzo Rapetti, Yeshasvi Tirupachuri +6

Full-body motion estimation of a human through wearable sensing technologies is challenging in the absence of position sensors. This paper contributes to the development of a model…