Neural networks for classification and recognition of individual users in adaptive human-computer interface

Author

Dimitrova, M. ; Hubert, M. ; Boyadjiev, D. ; Nabout, A. ; Zaprianov, N.J. ; Eldin, H. A Nour

Author_Institution

Inst. of Control & Syst. Res., Bulgarian Acad. of Sci., Sofia, Bulgaria

fYear

1997

fDate

16-18 Jul 1997

Firstpage

101

Lastpage

106

Abstract

The paper reports on a methodology for the identification of novel users from responses to computer-generated tasks. It is proposed that the cluster structure of the initial pool of data is identified. Standard neural algorithms are employed for classification according to the cluster structure. For recognition of patterns of data within each class, a compound network is employed that “individualizes” the patterns and stores them for subsequent recognition

Keywords

adaptive systems; biometrics (access control); neural nets; pattern classification; user modelling; adaptive human-computer interface; compound network; computer-generated tasks; data cluster structure identification; data pattern recognition; neural algorithms; neural networks; pattern individualization; user classification; user recognition; user responses; Artificial intelligence; Automatic generation control; Computer interfaces; Computerized monitoring; Control systems; Humans; Intelligent networks; Neural networks; Pattern recognition; Psychology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on

Conference_Location

Istanbul

ISSN

2158-9860

Print_ISBN

0-7803-4116-3

Type

conf

DOI

10.1109/ISIC.1997.626421

Filename

626421