Machine Learning and Signal Processing Tools for BCI
author: Klaus-Robert Müller,
Department of Software Engineering and Theoretical Computer Science, Technische Universität Berlin
author: Benjamin Blankertz, Machine Learning and Intelligent Data Analysis Group, TU Berlin
published: Aug. 10, 2009, recorded: July 2009, views: 12642
author: Benjamin Blankertz, Machine Learning and Intelligent Data Analysis Group, TU Berlin
published: Aug. 10, 2009, recorded: July 2009, views: 12642
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Description
We will first provide a brief overview of Brain-Computer Interface from a machine learning and signal processing perspective. In particular showing 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. We will then in detail discuss the components of the data analysis chain employed in modern BCI systems, spanning all aspects from preprocessing and feature extraction, adaptive vs. fixed classification and feedback design.
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Reviews and comments:
It would be great if the videlectures were provided also in
Quick time format so that they can be played by iPhones using the safari web browser! Why only Windows media player?
The lecture stops abruptly. Where is the rest of Klaus's discourse?
PLEASE SUPPORT OPEN STANDARDS, HTML5+WEBM ARE OPEN AND AVAILABLE ON ALL PLATFORMS. NEITHER WMV/MOV/H264 NOR FLASH ARE OPEN! :-(
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