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Open EEG Datasets for Passive Brain-Computer Interface Applications: Lacks and Perspectives

Hinss, Marcel F. and Somon, Bertille and Dehais, Frédéric and Roy, Raphaëlle N. Open EEG Datasets for Passive Brain-Computer Interface Applications: Lacks and Perspectives. (2021) In: IEEE Neural Engineering Conference, 4 May 2021 - 6 May 2021 (Virtual event, Italy).

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Abstract

With the advent of open science, a growing number of researchers have been sharing their datasets and processing methods. Yet not all fields are concerned and some still lack open databases which would enable faster, more relevant research, and more importantly favour replicability and reproducibility of results. This is particularly true for the field of brain-computer interfaces, and most especially for that of the relatively new field of passive brain-computer interfaces. This article provides an overview of the currently available datasets for passive brain-computer interface applications based on electroencephalography. Their main characteristics are detailed, including the number of participants, tasks, electrode setups and electrode location information. Lacks are highlighted and discussed, and recommendations are given for future studies.

Item Type:Conference or Workshop Item (Poster)
Additional Information:This work was funded by an ANITI (Artificial and Natural Intelligence Toulouse Institute) Research Chair allocated to Pr F. Dehais.
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Maastricht University - UM (NETHERLANDS)
French research institutions > Artificial and Natural Intelligence Toulouse Institute - ANITI (FRANCE)
Laboratory name:
Funders:
ANITI ANR-19-PI3A-0004
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Deposited On:26 May 2021 14:28

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