Designing a Tactile Sensor Array for Shape Recognition

Conference: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
08/23/2016 - 08/25/2016 at Dresden, Deutschland

Proceedings: CNNA 2016

Pages: 2Language: englishTyp: PDF

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Juarez, Hannah; Schmiedeler, James P.; Niemier, Michael (University of Notre Dame, Notre Dame, Indiana 46556–5637, USA)
Cserey, Gyoergy (Pazmany Peter Catholic University, Budapest, Hungary)

This paper describes the design of a tactile sensor array that used nine force sensors to identify and categorize the shape of an object. This system included a silicone surface with an artificial silicone fingerprint-like surface. From the measurements, the normal and shear forces were converted into visual pixel images. Cellular Nonlinear Network (CNN) templates were applied to determine the timing and type of spatial-temporal events. In pilot experiments, the CNN templates were able to determine both when a force was applied and the curvature of the plate applying the force.