JCSE, vol. 7, no. 2, pp.132-138, 2013

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

Brain Computer Interfacing: A Multi-Modal Perspective

Siamac Fazli, Seong-Whan Lee
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea

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.

Keyword: Brain computer interfaces; Multi-modal; Subject-independent classification; EEG-NIRS

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