DocumentCode
2156068
Title
Classification of EEG signals in the ambiguity domain for brain computer interface applications
Author
Garcia, Gary ; Ebrahimi, Touradj ; Vesin, Jean-Marc
Author_Institution
Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume
1
fYear
2002
fDate
2002
Firstpage
301
Abstract
Human-computer interaction research for motor impaired people has led to the design of various brain computer interfaces (BCI) based on the analysis of electroencephalographic signals (EEG). We propose a flexible and modular BCI system to allow subjects to interact with a computer based on EEG classification in the ambiguity domain.
Keywords
bioelectric potentials; electroencephalography; handicapped aids; medical signal processing; signal classification; user interfaces; EEG signal classification; ambiguity domain; brain computer interface; electroencephalographic signals; human-computer interaction; motor impaired people; pattern recognition; spontaneous signals; Application software; Brain computer interfaces; Computer interfaces; Electrodes; Electroencephalography; Feedback; Human computer interaction; Real time systems; Signal analysis; Signal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN
0-7803-7503-3
Type
conf
DOI
10.1109/ICDSP.2002.1027892
Filename
1027892
Link To Document