Fuzzy Algorithm for Discrimination of Material Properties with Touch Sensors

Abstract

In this paper authors present the fuzzy algorithm of sensor fusion for discriminating material properties with touch sensors. The proposed algorithm is based on fuzzy theory, and there the notions of adaptation grade function, maximum similarity α and boundary value γ are introduced for expressing the categories of samples.
For verifying the algorithm, numerical simulation is performed. It resulted in good classification for discrimination of materials such as iron, aluminium, copper, bronze, gum, wood, styrene foam and etc. The database used here is based on the experimental results with our proposed touch sensors.
Our final target is to develop an artificial skin tactile sensing system.