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http://dx.doi.org/10.5626/JCSE.2013.7.2.132

Brain Computer Interfacing: A Multi-Modal Perspective  

Fazli, Siamac (Department of Brain and Cognitive Engineering, Korea University)
Lee, Seong-Whan (Department of Brain and Cognitive Engineering, Korea University)
Publication Information
Journal of Computing Science and Engineering / v.7, no.2, 2013 , pp. 132-138 More about this Journal
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.
Keywords
Brain computer interfaces; Multi-modal; Subject-independent classification; EEG-NIRS;
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