Tutorial on multimodal neuroimaging for brain-computer interfacing

Siamac Fazli, Klaus Muller, Seong Whan Lee, Benjamin Blankertz

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

Abstract

Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages1-2
Number of pages2
DOIs
Publication statusPublished - 2013 May 17
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

Keywords

  • Brain Computer Interfacing, Subject
  • independent classifiers
  • Multimodal Neuroimaging

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Fazli, S., Muller, K., Lee, S. W., & Blankertz, B. (2013). Tutorial on multimodal neuroimaging for brain-computer interfacing. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 1-2). [6506605] https://doi.org/10.1109/IWW-BCI.2013.6506605