Multimodal imaging technique for rapid response brain-computer interface feedback

Seul Ki Yeom, Siamac Fazli, Jan Mehnert, Benjamin Blankcrtz, Jens Steinbrink, Klaus Robert Müller, Seong Whan Lee

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

2 Citations (Scopus)

Abstract

Electroencephalogram (EEG) has been widely used for brain-computer interface (BCI) due to its high temporal resolution. Meanwhile, multimodal imaging techniques based on combined EEG and near infrared spectroscopy (NIRS) have been studied in BCI research and shown to lead to beneficiary results in terms of classification [1]. However, performance results of this study show that there is a difference of peak accuracy (about 5s) between NIRS and EEG caused by the high latency of the NIRS signal. Based on our experimental results and analysis, we show that even though there is high latency of NIRS signal in our proposed multimodal imaging technique, it can be reasonable system for real-time BCI.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages92-94
Number of pages3
DOIs
Publication statusPublished - 2013
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Publication series

Name2013 International Winter Workshop on Brain-Computer Interface, BCI 2013

Other

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

Keywords

  • combined NIRS-EEG
  • hybrid BCI fast-paced NIRS
  • meta-classifier
  • multi-modal imaging

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Yeom, S. K., Fazli, S., Mehnert, J., Blankcrtz, B., Steinbrink, J., Müller, K. R., & Lee, S. W. (2013). Multimodal imaging technique for rapid response brain-computer interface feedback. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 92-94). [6506642] (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). https://doi.org/10.1109/IWW-BCI.2013.6506642