DocumentCode :
2223967
Title :
Tactile pattern recognition using neural networks
Author :
McMath, W.S. ; Colven, M.D. ; Yeung, S.K. ; Petriu, E.M.
Author_Institution :
Canadian Space Agency, Ottawa, Ont., Canada
fYear :
1993
fDate :
15-19 Nov 1993
Firstpage :
1391
Abstract :
This paper discusses an experimental tactile sensor based on force sensitive transducer technology and its application for pattern recognition. A multilayer neural network using the backpropagation algorithm was trained to recognize tactile images of letters embossed on wooden blocks
Keywords :
backpropagation; neural nets; pattern recognition; tactile sensors; transducers; backpropagation algorithm; experimental tactile sensor; force sensitive transducer technology; letters; multilayer neural network; neural networks; tactile pattern recognition; Backpropagation algorithms; Force measurement; Force sensors; Humans; Image recognition; Multi-layer neural network; Neural networks; Pattern recognition; Tactile sensors; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
Type :
conf
DOI :
10.1109/IECON.1993.339272
Filename :
339272
Link To Document :
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