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.
Original language | English |
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Pages (from-to) | 331-336 |
Number of pages | 6 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Volume | 51 |
Issue number | 2 |
DOIs | |
Publication status | Published - 7 Aug 2002 |
Keywords
- Distributive
- Measurement error
- Neural network application
- Sensor
- Tactile