Premium
Fuzzy algorithm to discriminate material properties using touch sensors
Author(s) -
Li Desheng,
Shida Katsunori
Publication year - 1997
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19970115)118:1<61::aid-eej6>3.0.co;2-l
Subject(s) - fuzzy logic , algorithm , computer science , function (biology) , bronze , artificial intelligence , sensor fusion , pattern recognition (psychology) , materials science , metallurgy , biology , evolutionary biology
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, aluminum, copper, bronze, gum, wood, styrene foam, etc. The database used is based on the experimental results with our proposed touch sensors. Our final target is to develop an artificial skin tactile sensing system. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 118 (1): 61–70, 1997