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Estimating (human) cognitive states in a human-machine system: a fuzzy modeling approach

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1 Author(s)
Ntuen, C.A. ; North Carolina A&T State Univ., Greensboro, NC, USA

A fuzzy model for evaluating and estimating the human operator states in a human machine system is proposed. The major parts of the model consist of subjective evaluation of the human `perception' of task, the translation of the subjective data to fuzzy membership functions, and the application of an intuitive heuristic to determine the desired operator states. The model efficacy is demonstrated by experimenting with the human operator cognitive states in a pursuit tracking task

Published in:
Human Interaction with Complex Systems, 1998. Proceedings., Fourth Annual Symposium on

Date of Conference: 22-25 Mar 1998

Page(s):
209 - 213
Meeting Date :
22 Mar 1998-25 Mar 1998
Print ISBN:
0-8186-8341-4
INSPEC Accession Number:
5901190
Conference Location :
Dayton, OH
Digital Object Identifier :
10.1109/HUICS.1998.659989
Product Type:
Conference Publications

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