A review of rapid serial visual presentation-based brain-computer interfaces

Stephanie Lees, Natalie Dayan, Hubert Cecotti, Paul McCullagh, Liam Maguire, Fabien Lotte, D Coyle

Research output: Contribution to journalArticle

15 Citations (Scopus)
21 Downloads (Pure)

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.
Original languageEnglish
Number of pages23
JournalJournal of Neural Engineering
Volume15
Issue number2
Early online date24 Jan 2018
DOIs
Publication statusPublished - Apr 2018

Keywords

  • Rapid Serial Visual Presentation
  • Brain-Computer Interface
  • Event Related Potentials
  • Electroencephalography
  • visual evoked potentials

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