Imaginary Activity Recognition Using Inter-Channel Time Coherence Profiles in EEG Data

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Olcay B. O., Ozgoren M., Karacali B.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1365-1368 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7496002
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1365-1368
  • Keywords: Brain-Computer Interface, Cross-Covariance, Time Coherence, Fisher's Linear Discriminant, BCI Competition-III, BRAIN-COMPUTER INTERFACES
  • Dokuz Eylül University Affiliated: Yes

Abstract

In this study, we have carried out a brain-computer interface study that uses time delays between electrodes. As features, we have calculated the time delays that maximizes the absolute value of the cross-covariance between the chosen reference channel and the remaining channels. Performance results of 3 out of 5 participants that were nearly at a %100 accuracy level along with a relatively smaller number of training data, and a lack of similar studies indicate that the proposed approach is open to the further improvements.