Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.746998
