Better than random: A closer look on BCI results
Year: 2007
Type: article
Abstract: . Brain-Computer Interface (BCI) research has become a growing field of interest in the last years. The work presented ranges from machine learning approaches in offline results to the application of a BCI in patients. However, reliable classification of brain activity is a crucial issue in BCI research. In contrast to most articles which present methods to enhance classification accuracies, we investigate the opposite side in this work and provide answers to the question: Does my classifier perform better than random?
Authors: Gernot Müller-Putz, Reinhold Scherer, Clemens Brunner, Robert Leeb, Gert Pfurtscheller
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1488979667