Title :
The performance of a 1-D distributive tactile sensing system for detecting the position, weight, and width of a contacting load
Author :
Ma, Xianghong ; Brett, Peter N.
Author_Institution :
Dept. of Mech. & Ind. Eng., Illinois Univ., Urbana, IL, USA
fDate :
4/1/2002 12:00:00 AM
Abstract :
This paper describes the performance of a novel tactile sensing system able to determine a description of a load in contact with a surface. The approach uses sensing elements in order to aim for mechanical simplicity and to formulate the load description. It integrates a deflecting surface, sensing elements, and computer interpretation algorithm. The description of the contacting load is derived in terms of a continuous function outputting position, width and weight. To demonstrate the principles clearly, the experimental surface selected for this investigation is a one-dimensional (1-D) simply supported beam that uses eight proximity sensors to detect deflection in response to the applied load. Back propagation neural networks are used in a cascaded architecture to process the sensory data to automatically estimate load position and width both within an error of 4% and 8% of the full range, respectively. The total value of the load is determined to within an error of 4% of the true value
Keywords :
backpropagation; distributed sensors; intelligent sensors; neural nets; tactile sensors; backpropagation neural network; beam deflection; cascaded architecture; computer interpretation algorithm; contacting load position; contacting load weight; contacting load width; one-dimensional distributive tactile sensing system; proximity sensor; Amplitude estimation; Automatic control; Computer errors; Error correction; Force sensors; Measurement errors; Minimally invasive surgery; Neural networks; Sensor arrays; Tactile sensors;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on