Estimation of Displacement and Rotation by Magnetic Tactile Sensor Using Stepwise Regression Analysis

Abstract EN

The human is covered with soft skin and has tactile receptors inside.

The skin deforms along a contact surface.

The tactile receptors detect the mechanical deformation.

The detection of the mechanical deformation is essential for the tactile sensation.

We propose a magnetic type tactile sensor which has a soft surface and eight magnetoresistive elements.

The soft surface has a permanent magnet inside and the magnetoresistive elements under the soft surface measure the magnetic flux density of the magnet.

The tactile sensor estimates the displacement and the rotation on the surface based on the change of the magnetic flux density.

Determination of an estimate equation is difficult because the displacement and the rotation are not geometrically decided based on the magnetic flux density.

In this paper, a stepwise regression analysis determines the estimate equation.

The outputs of the magnetoresistive elements are used as explanatory variables, and the three-axis displacement and the two-axis rotation are response variables in the regression analysis.

We confirm the regression analysis is effective for determining the estimate equations through simulation and experiment.

The results show the tactile sensor measures both the displacement and the rotation generated on the surface by using the determined equation.