top of page

Copy of Rigid Body Motion from Accelerometer Data

A new publication from the Dr. Haneesh Kesari's group at Brown University:



The highlights of the paper include:

  • Algorithm predicts a rigid body’s motion using only four tri-axial accelerometers.

  • The body’s rotational motion is obtained without time integrating its acceleration.

  • Algorithm provides the complete kinematics of rigid body motion in the lab frame.

  • 4 tri-axial accelerometers can be in any orientation and any non-coplanar position.

  • Algorithm will facilitate use of finite element method based brain injury criteria.


Comparison of the predictions from the √AOAO and AOAO algorithms for the acceleration of the material particle 5X5X (see Fig. 4) in the rigid ellipsoid impact simulation (see Section 5.1 for details). Both the √AOAO and AOAO algorithms were fed the same virtual error-inclusive accelerometer data. The data was generated by adding a particular realization of the OU process to the virtual accelerometer data from the rigid ellipsoid impact simulation. The OU realization corresponded to the OU parameter set (μ,σ,β)=(1,10,103)(μ,σ,β)=(1,10,103). Subfigures (a), (b), and (c), respectively, show the comparison for the component of 5X5X’s acceleration in the eiei, i∈Ji∈ℐ, directions. The predictions of the √AOAO algorithm when fed just the virtual accelerometer data, i.e., with no added errors, is also shown in (a), (b), and (c) using black open circles.


10 views

コメント


bottom of page