TY - JOUR
T1 - Speed of Rapid Serial Visual Presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy
AU - Lees, Stephanie
AU - McCullagh, P
AU - Payne, Phillippa
AU - Maguire, Liam
AU - Lotte, Fabien
AU - Coyle, Damien
N1 - Funding Information:
Manuscript received May 8, 2019; revised September 2, 2019; accepted September 11, 2019. Date of publication November 18, 2019; date of current version January 8, 2020. This work was supported by the U.K. Government through the Anglo-French Ph.D. Programme. (Corresponding author: Stephanie Lees.) S. Lees, P. McCullagh, L. Maguire, and D. Coyle are with the Intelligent Systems Research Centre, Faculty of Computing, Engineering and the Built Environment, Ulster University, Londonderry BT48 7JL, U.K. P. Payne is with Cranfield University, Bedford MK43 0AL, U.K.
Publisher Copyright:
© 2001-2011 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/1/8
Y1 - 2020/1/8
N2 - Rapid serial visual presentation (RSVP) based brain-computer interfaces (BCIs) can detect target images among a continuous stream of rapidly presented images, by classifying a viewer’s event related potentials (ERPs) associated with the target and non-targets images. Whilst the majority of RSVP-BCI studies to date have concentrated on the identification of a single type of image, namely pictures, here we study the capability of RSVP-BCI to detect three different target image types: pictures, numbers and words. The impact of presentation duration (speed) i.e., 100-200ms (5-10Hz), 200-300ms (3.3-5Hz) or 300-400ms (2.5-3.3Hz), is also investigated. 2-way repeated measure ANOVA on accuracies of detecting targets from non-target stimuli (ratio 1:9) measured via area under the receiver operator characteristics curve (AUC) for N=15 subjects revealed a significant effect of factor Stimulus-Type (pictures, numbers, words) (F (2,28) = 7.243, p = 0.003) and for Stimulus-Duration (F (2,28) = 5.591, p = 0.011). Furthermore, there is an interaction between stimulus type and duration: F (4,56) = 4.419, p = 0.004). The results indicate that when designing RSVP-BCI paradigms, the content of the images and the rate at which images are presented impact on the accuracy of detection and hence these parameters are key experimental variables in protocol design and applications, which apply RSVP for multimodal image datasets.
AB - Rapid serial visual presentation (RSVP) based brain-computer interfaces (BCIs) can detect target images among a continuous stream of rapidly presented images, by classifying a viewer’s event related potentials (ERPs) associated with the target and non-targets images. Whilst the majority of RSVP-BCI studies to date have concentrated on the identification of a single type of image, namely pictures, here we study the capability of RSVP-BCI to detect three different target image types: pictures, numbers and words. The impact of presentation duration (speed) i.e., 100-200ms (5-10Hz), 200-300ms (3.3-5Hz) or 300-400ms (2.5-3.3Hz), is also investigated. 2-way repeated measure ANOVA on accuracies of detecting targets from non-target stimuli (ratio 1:9) measured via area under the receiver operator characteristics curve (AUC) for N=15 subjects revealed a significant effect of factor Stimulus-Type (pictures, numbers, words) (F (2,28) = 7.243, p = 0.003) and for Stimulus-Duration (F (2,28) = 5.591, p = 0.011). Furthermore, there is an interaction between stimulus type and duration: F (4,56) = 4.419, p = 0.004). The results indicate that when designing RSVP-BCI paradigms, the content of the images and the rate at which images are presented impact on the accuracy of detection and hence these parameters are key experimental variables in protocol design and applications, which apply RSVP for multimodal image datasets.
KW - BCI
KW - EEG
KW - Rapid serial visual presentation
KW - brain-computer interface
KW - electroencephalography
KW - event related potentials
UR - https://pure.ulster.ac.uk/en/publications/speed-of-rapid-serial-visual-presentation-of-pictures-numbers-and
UR - http://www.scopus.com/inward/record.url?scp=85078343974&partnerID=8YFLogxK
U2 - 10.1109/TNSRE.2019.2953975
DO - 10.1109/TNSRE.2019.2953975
M3 - Article
C2 - 31751279
VL - 28
SP - 113
EP - 122
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
SN - 1534-4320
IS - 1
M1 - 8903477
ER -