Title :
Tutorial on multimodal neuroimaging for brain-computer interfacing
Author :
Fazli, Siamac ; Muller, Klaus-Robert ; Lee, Sang-Rim ; Blankertz, Benjamin
Author_Institution :
Neurotechnology & Machine Learning Groups, Berlin Inst. of Technol. (TU Berlin), Berlin, Germany
Abstract :
Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.
Keywords :
brain-computer interfaces; electroencephalography; image classification; infrared spectra; medical image processing; neurophysiology; BCI community; EEG measurement; NIRS measurement; brain-computer interface; electroencephalography; multimodal neuroimaging; multimodal technique; near infrared spectroscopy; subject-independent BCI classifier; Brain modeling; Brain-computer interfaces; Calibration; Electrodes; Electroencephalography; Neuroimaging; Robustness; Brain Computer Interfacing, Subject; Multimodal Neuroimaging; independent classifiers;
Conference_Titel :
Brain-Computer Interface (BCI), 2013 International Winter Workshop on
Conference_Location :
Gangwo
Print_ISBN :
978-1-4673-5973-3
DOI :
10.1109/IWW-BCI.2013.6506605
