Automatic Recognition of Low Resolution Tactile Sensing Data Using Rapid Transformation
A pattern is the description of an object that is sensed by appropriate hardware to form a useful data set, which in turn can be processed by a computer. In this paper, we concentrate on a class of patterns arising from geometrical figure approximations as encountered in robotics applications. A wide assortment of devices and systems exists today for data sensing of the environment in the robotics world. Generally speaking, we can classify them into two major classes: non-contact sensing and contact sensing. Non-contact sensing includes optical, sonic, ultrasonic, and magnetic ranging. Contact sensing is the area of tactile sensing with which this research is primarily concerned. A suitable definition of tactile sensing is expressed as continuously variable touch sensing over an array with a certain spatial resolution.
KeywordsRecognition Rate Test Pattern Character Recognition Learning Base Standard Pattern
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