Affordable Access

Nonnegative tensor factorization for continuous EEG classification

Authors
  • Lee, H
  • Kim, YD
  • Cichocki, A
  • Choi, S
Publication Date
Aug 01, 2007
Source
OASIS@POSTECH
Keywords
License
Unknown
External links

Abstract

In this paper we present a method for continuous EEG classification, where we employ nonnegative tensor factorization (NTF) to determine discriminative spectral features and use the Viterbi algorithm to continuously classify multiple mental tasks. This is an extension of our previous work on the use of nonnegative matrix factorization (NMF) for EEG classification. Numerical experiments with two data sets in BCI competition, confirm the useful behavior of the method for continuous EEG classification. / X / 1 / 1 / 66 / scie / scopus

Report this publication

Statistics

Seen <100 times