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Information-transfer rate modeling of EEG-based synchronized brain-computer interfaces

Publication Genève, 2005
Collection Technical report; 05.03
Abstract The information-transfer rate (ITR) is commonly used to assess the performance of brain-computer interfaces (BCI). Various studies have shown that the optimal number of mental tasks to be used is fairly low, around 3 or 4. We propose a formal approach and an experimental validation to demonstrate and confirm that this optimum is user and BCI design dependent. Even if increasing the number of mental tasks to the optimum indeed leads to an increase of the ITR, the gain remains small. This might not justify the added complexity in terms of protocol design.
Keywords Brain-computer interface (BCI)electroencephalogram (EEG) classificationinformation transfer rateoptimal number of mental tasks
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
(ISO format)
KRONEGG, Julien, VOLOSHYNOVSKYY, Svyatoslav, PUN, Thierry. Information-transfer rate modeling of EEG-based synchronized brain-computer interfaces. 2005 https://archive-ouverte.unige.ch/unige:48013

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Deposited on : 2015-03-09

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