Adaptive brain interfaces for physically-disabled people

Author

del R.Milan, J. ; Mouriño, J. ; Marciani, M.G. ; Babiloni, F. ; Topani, F. ; Canale, I. ; Heikkonen, J. ; Kaski, K.

Author_Institution

Joint Res. Centre, Commision of the Eur. Communities, Ispra, Italy

Volume

4

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

2008

Abstract

This paper presents first results of an adaptive brain interface suitable for deployment outside controlled laboratory settings. It robustly recognizes three purely mental states from on-line spontaneous EEG signals and has them associated to simple commands. Three commands allow to interact intelligently with a computer-based system through task decomposition. Our approach seeks to develop individual interfaces since no two people are the same either physiologically or psychologically. Thus the interface adapts to its owner as its neural classifier learns user-specific filters

Keywords

electroencephalography; handicapped aids; learning (artificial intelligence); medical signal detection; medical signal processing; neural nets; pattern classification; signal classification; ANN; PCA projection; adaptive brain interfaces; computer-based system; individual interfaces; intelligent interaction; mental state recognition; neural classifier; on-line spontaneous EEG signals; physically-disabled people; simple commands; task decomposition; user-specific filters; Adaptive control; Electroencephalography; Feature extraction; Irrigation; Laboratories; Pattern recognition; Programmable control; Prototypes; Robustness; Wheelchairs;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.746998

Filename

746998