Title :
A multiple-scale measure of static tactile texture
Author_Institution :
University of Massachusetts, Amherst, MA
Abstract :
A method is proposed for the extraction of features that are useful in the classification of tactile texture. It is shown that accumulation of simple statistics on step edges and local extrema, calculated at multiple scales of resolution, can provide linearly separable features. The scale can be varied continuously, thus facilitating adjustment of the scale parameters to optimise the effectiveness of the method for a given tactile array sensor.
Keywords :
Data mining; Electronic learning; Feature extraction; Object recognition; Psychology; Robot sensing systems; Sensor arrays; Sensor phenomena and characterization; Statistics; Tactile sensors;
Conference_Titel :
Robotics and Automation. Proceedings. 1986 IEEE International Conference on
DOI :
10.1109/ROBOT.1986.1087536
