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 [BibTeX] [Marc21]
EEG pattern recognition through multi-stream evidence combination
Type of publication: Conference paper
Citation: wcni2001
Booktitle: Proc. World Congress on Neuroinformatics
Year: 2001
Address: Vienna University of Technology, Austria
Crossref: morris-rr-01-31:
Abstract: EEG recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable variations in the signal due to artefacts or recogniser-subject feedback. A number of techniques were recently developed to address a related problem of recogniser robustness to uncontrollable signal variation which also occurs in automatic speech recognition (ASR). In this article we consider how some of the proved advantages of the "multi-stream combination" and "tandem" approaches in HMM/ANN hybrid based ASR can possibly be applied to improve the performance of EEG recognition.
Userfields: ipdmembership={speech},
Keywords: EEG, multi-stream classification, robust recognition
Projects Idiap
Authors Morris, Andrew
Obermaier, Bernhard
Pfurtscheller, Gert
Added by: [UNK]
Total mark: 0
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