Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture and Perceptual Space

Abstract

In this study we focused on building a universal haptic texture models library. This library is used to automatically assign haptic texture models to any given surface based on image features. The library is built from one time data-driven modeling of a large number (84) of textured surfaces, which cover most of the daily life haptic interactions. In this demonstration, we will show automatic assignment of haptic texture models to new arbitrary textured surfaces based on their image features, from the universal haptic library of haptic texture models. Afterwards, the automatically assigned haptic model will be rendered.