A Review of Rapid Serial Visual Presentation-based Brain-Computer Interfaces

Stephanie Lees 1 Natalie Dayan 1 Hubert Cecotti 1 Paul Mccullagh 1 Liam Maguire 1 Fabien Lotte 2, 3 Damien Coyle 1
1 Faculty of Computing and Engineering [University of Ulster]
2 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
3 LaBRI - Laboratoire Bordelais de Recherche en Informatique
Abstract : Rapid serial visual presentation (RSVP) combined with the detection of event related brain responses facilitates the selection of relevant information contained in a stream of images presented rapidly to a human. Event related potentials (ERPs) measured non-invasively with electroencephalography (EEG) can be associated with infrequent targets amongst a stream of images. Human-machine symbiosis may be augmented by enabling human interaction with a computer, without overt movement, and/or enable optimization of image/information sorting processes involving humans. Features of the human visual system impact on the success of the RSVP paradigm, but pre-attentive processing supports the identification of target information post presentation of the information by assessing the co-occurrence or time-locked EEG potentials. This paper presents a comprehensive review and evaluation of the limited but significant literature on research in RSVP-based brain-computer interfaces (BCIs). Applications that use RSVP-based BCIs are categorized based on display mode and protocol design, whilst a range of factors influencing ERP evocation and detection are analyzed. Guidelines for using the RSVP-based BCI paradigms are recommended, with a view to further standardizing methods and enhancing the inter-relatability of experimental design to support future research and the use of RSVP-based BCIs in practice.
Keywords : Rapid Serial Visual Presentation Event Related Potentials Electroencephalography Brain-Computer Interface
Type de document :
Article dans une revue
Journal of Neural Engineering, IOP Publishing, 2017, pp.1-39. 〈10.1088/1741-2552/aa9817〉
Liste complète des métadonnées

Littérature citée [95 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01657643
Contributeur : Fabien Lotte <>
Soumis le : jeudi 7 décembre 2017 - 02:25:27
Dernière modification le : jeudi 11 janvier 2018 - 06:24:07

Fichier

JNE_RSVP review_revision - FIn...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNIV-BORDEAUX | LABRI | INRIA | INRIA2017

Citation

Stephanie Lees, Natalie Dayan, Hubert Cecotti, Paul Mccullagh, Liam Maguire, et al.. A Review of Rapid Serial Visual Presentation-based Brain-Computer Interfaces. Journal of Neural Engineering, IOP Publishing, 2017, pp.1-39. 〈10.1088/1741-2552/aa9817〉. 〈hal-01657643〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

152

Téléchargements de fichiers

119

Contact


archive-ouverte@inria.fr