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Title

EEG-based synchronized brain-computer interfaces : a model for optimizing the number of mental tasks

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Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2007, vol. 15, no. 1, p. 50-58
Abstract The information-transfer rate (ITR) is commonly used to assess the performance of brain–computer interfaces (BCIs). Various studies have shown that the optimal number of mental tasks to be used is fairly low, around 3 or 4.We propose an experimental validation as well as a formal approach 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)classificationelectroencephalogram (EEG)information transfer rateoptimal number of mental tasks
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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KRONEGG, Julien et al. EEG-based synchronized brain-computer interfaces : a model for optimizing the number of mental tasks. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007, vol. 15, n° 1, p. 50-58. https://archive-ouverte.unige.ch/unige:47427

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Deposited on : 2015-03-03

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