Towards Brain Computer Interfacing: Algorithms for on-line Differentiation of Neuroelectric Activities

author: Klaus-Robert Müller, Department of Software Engineering and Theoretical Computer Science, Technische Universität Berlin
published: Jan. 19, 2010,   recorded: December 2009,   views: 4116


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Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This talk will first provide a brief overview of Brain Computer Interface from a machine learning and signal processing perspective. In particular it shows the wealth, the complexity and the difficulties of the data available, a truly enormous challenge: In real-time a multi-variate very strongly noise contaminated data stream is to be processed and neuroelectric activities are to be accurately differentiated in real time.

Finally, I report in more detail about the Berlin Brain Computer (BBCI) Interface that is based on EEG signals and take the audience all the way from the measured signal, the preprocessing and filtering, the classification to the respective application. Â BCI as a new channel for man-machine communication is discussed in a clinical setting and for gaming.

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Download slides icon Download slides: nips09_muller_tbc_01.pdf (4.2 MB)

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