Brain computer interfacing: A multi-modal perspective

Siamac Fazli, Seong Whan Lee

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram and near-infrared spectroscopy measurements are discussed, which can help achieve enhanced and robust BCI performance.

Original languageEnglish
Pages (from-to)132-138
Number of pages7
JournalJournal of Computing Science and Engineering
Volume7
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • Brain computer interfaces
  • EEG-NIRS
  • Multi-modal
  • Subject-independent classification

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering(all)

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