Brain computer interfacing: A multi-modal perspective

Siamac Fazli; Seong Whan Lee

doi:10.5626/JCSE.2013.7.2.132

Brain computer interfacing: A multi-modal perspective

Siamac Fazli, Seong Whan Lee

Research output: Contribution to journal › Article › peer-review

15 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 language	English
Pages (from-to)	132-138
Number of pages	7
Journal	Journal of Computing Science and Engineering
Volume	7
Issue number	2
DOIs	https://doi.org/10.5626/JCSE.2013.7.2.132
Publication status	Published - Jan 1 2013
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

General Engineering
Computer Science Applications

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10.5626/JCSE.2013.7.2.132

Cite this

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Brain computer interfacing: A multi-modal perspective

Abstract

Keywords

ASJC Scopus subject areas

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