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Brain computer interfacing: A multi-modal perspective

Authors
Fazli, S.Lee, S.W.
Issue Date
2013
Publisher
Korean Institute of Information Scientists and Engineers
Keywords
Brain computer interfaces; EEG-NIRS; Multi-modal; Subject-independent classification
Citation
Journal of Computing Science and Engineering, v.7, no.2, pp.132 - 138
Indexed
SCOPUS
Journal Title
Journal of Computing Science and Engineering
Volume
7
Number
2
Start Page
132
End Page
138
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/105905
DOI
10.5626/JCSE.2013.7.2.132
ISSN
1976-4677
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. © 2013. The Korean Institute of Information Scientists and Engineers.
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