Measurement and Interpolation for Data-Driven Pressure Distribution Rendering on a Finger Pad

TL;DR

This paper introduces a data-driven method for rendering pressure distribution on a finger pad using sensor data and linear interpolation, enabling real-time prediction based on user input.

Contribution

It presents a novel pressure distribution rendering approach that combines experimental data with linear interpolation for fast, accurate predictions in touch interfaces.

Findings

The method accurately reproduces measured pressure data.

It operates efficiently in real-time applications.

The approach effectively models pressure based on displacement and contact angle.

Abstract

We propose a data-driven pressure distribution rendering method that uses the interpolation of experimentally obtained pressure values. The pressure data were collected using a pressure sensor array. The prediction was performed using linear interpolation, assuming that the pressure distribution is dependent on pushing displacement and contact angle. Leap Motion Controller was used to implement the prediction based on user input. The proposed prediction model was found to be fast and reproduce the measured data well.