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

PublisherGenève
Collection
  • Technical report; 05.03
Publication date2005
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) classification
  • information transfer rate
  • optimal number of mental tasks
Citation (ISO format)
KRONEGG, Julien, VOLOSHYNOVSKYY, Svyatoslav, PUN, Thierry. Information-transfer rate modeling of EEG-based synchronized brain-computer interfaces. 2005
Main files (1)
Report
accessLevelPublic
Identifiers
  • PID : unige:48013
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128downloads

Technical informations

Creation03/09/2015 11:34:27 AM
First validation03/09/2015 11:34:27 AM
Update time03/14/2023 11:00:27 PM
Status update03/14/2023 11:00:27 PM
Last indexation01/16/2024 5:16:13 PM
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