Texture Sensing at a Fingertip

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Abstract

A new method for texture sensing, based on a calculation of the average standard deviation of the data from a thick film piezoelectric sensor, is presented. The repeating patterns in the surface texture of gratings as they move past the sensor are observable in the output signal. A comparison with a previous method has shown an improvement in the variability of the analyzed data. The method applied is not only able to distinguish two patterns of gratings, but also provides the dimension of each grating. The results have demonstrated the suitability of this approach as a fingertip texture sensor.

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