Literature DB >> 29099388

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

Stephanie Lees1, Natalie Dayan, Hubert Cecotti, Paul McCullagh, Liam Maguire, Fabien Lotte, Damien Coyle.   

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.

Entities:  

Mesh:

Year:  2018        PMID: 29099388     DOI: 10.1088/1741-2552/aa9817

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  6 in total

Review 1.  Human visual skills for brain-computer interface use: a tutorial.

Authors:  Melanie Fried-Oken; Michelle Kinsella; Betts Peters; Brandon Eddy; Bruce Wojciechowski
Journal:  Disabil Rehabil Assist Technol       Date:  2020-06-01

2.  Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.

Authors:  Xinlin J Chen; Leslie M Collins; Boyla O Mainsah
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

3.  Liquid-Metal Enabled Droplet Circuits.

Authors:  Yi Ren; Jing Liu
Journal:  Micromachines (Basel)       Date:  2018-05-05       Impact factor: 2.891

4.  Target-Related Alpha Attenuation in a Brain-Computer Interface Rapid Serial Visual Presentation Calibration.

Authors:  Daniel Klee; Tab Memmott; Niklas Smedemark-Margulies; Basak Celik; Deniz Erdogmus; Barry S Oken
Journal:  Front Hum Neurosci       Date:  2022-04-21       Impact factor: 3.473

5.  A Cross-Session Dataset for Collaborative Brain-Computer Interfaces Based on Rapid Serial Visual Presentation.

Authors:  Li Zheng; Sen Sun; Hongze Zhao; Weihua Pei; Hongda Chen; Xiaorong Gao; Lijian Zhang; Yijun Wang
Journal:  Front Neurosci       Date:  2020-10-22       Impact factor: 4.677

Review 6.  A Review of EEG and fMRI Measuring Aesthetic Processing in Visual User Experience Research.

Authors:  Zhepeng Rui; Zhenyu Gu
Journal:  Comput Intell Neurosci       Date:  2021-12-16
  6 in total

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