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Neurofuzzy prediction for gaze control.

Authors :
Cuevas, Erik
Zaldivar, Daniel
Rojas, Raul
Source :
Canadian Journal of Electrical & Computer Engineering; Winter/Spring2009, Vol. 34 Issue 1/2, p15-20, 6p
Publication Year :
2009

Abstract

The article focuses on the application of adaptive network-based fuzzy inference system (ANFIS) algorithm to lessen the delay in real-time gaze control. It describes the fuzzy inference system and learning algorithm for ANFIS architecture and reveals the use of colour segmentation algorithm and of proportional-integral-derivative (PID) controller to explain the whole system implementation. It reveals that the neurofuzzy system allows fast and precise motion control of the target object.

Details

Language :
English
ISSN :
08408688
Volume :
34
Issue :
1/2
Database :
Complementary Index
Journal :
Canadian Journal of Electrical & Computer Engineering
Publication Type :
Academic Journal
Accession number :
43085701
Full Text :
https://doi.org/10.1109/CJECE.2009.5291203