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Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions
April 2020 • Sangtae Ahn, Sung Chan Jun
Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modality’s drawbacks and yield reliable results by extracting complementary features. In particular, integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) is cost-effective and portable, and therefore is a fascinating approach to brain-computer interface (BCI). However, outcomes from the integration of these two modalities have yielded…
Brain–Computer Interface
Electroencephalography
Computer Science
Rayon
Human–Computer Interaction
Neuroscience
Engineering
Electrical Engineering
Materials Science