Adaptive brain interfaces for physically-disabled people

J. del R. Millan, J. Mourino, M. G. Marciani, F. Babiloni, F. Topani, I. Canale, J. Heikkonen, K. Kaski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 not two people are the same either physiologically or psychologically. Thus the interface adapts to its owner as its neural classifier learns user-specific filters.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsH.K. Chang, Y.T. Zhang
PublisherIEEE
Pages2008-2011
Number of pages4
Volume4
Publication statusPublished - 1998
EventProceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6) - Hong Kong, China
Duration: Oct 29 1998Nov 1 1998

Other

OtherProceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6)
CityHong Kong, China
Period10/29/9811/1/98

ASJC Scopus subject areas

  • Bioengineering

Fingerprint Dive into the research topics of 'Adaptive brain interfaces for physically-disabled people'. Together they form a unique fingerprint.

Cite this