Handheld Surface Material Classification SystemsHandheld Surface Material Classification Systems

Handheld Surface Material Classification Systems

This video presents a content-based surface material retrieval (CBSMR) system for tool-mediated freehand exploration of surface materials. We demonstrate a custom 3d printed sensorized tool and a common smartphone using an android-based surface classification app that are able to classify among a set of surface materials without relying on explicit scan force and scan velocity measurements.

The systems rely on features representing the main psychophysical dimensions of tactile surface material perception, namely friction, hardness, macroscopic roughness, microscopic roughness and warmth from our prior work. We use a haptic database consisting of 108 surface materials as reference for a live demonstration of both devices for the proposed task of surface material classification during the conference.