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Title

EEG-based synchronized brain-computer interfaces : a model for optimizing the number of mental tasks
Authors
Kronegg, Julien
Chanel, Guillaume
Voloshynovskyy, Svyatoslav
Pun, Thierry
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) — Classification — Electroencephalogram (EEG) — Information transfer rate — Optimal number of mental tasks
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Other version: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4126539&filter%3DAND%28p_IS_Number%3A4126524%29
Structures
Faculté des sciences / Département d'informatique
Centres et instituts / Centre universitaire d'informatique
Centres et instituts / Centre interfacultaire en sciences affectives
Research groups Affective sciences
Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Citation
(ISO format) 		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. doi: 10.1109/TNSRE.2007.891389 https://archive-ouverte.unige.ch/unige:47427

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Deposited on : 2015-03-03

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