Skip to Main content Skip to Navigation
Journal articles

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

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.
Complete list of metadata

Cited literature [95 references]  Display  Hide  Download
Contributor : Fabien Lotte Connect in order to contact the contributor
Submitted on : Thursday, December 7, 2017 - 2:25:27 AM
Last modification on : Friday, January 7, 2022 - 3:55:02 AM


JNE_RSVP review_revision - FIn...
Files produced by the author(s)




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⟩



Les métriques sont temporairement indisponibles