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.
|Number of pages||10|
|Journal||IEEE Transactions on Neural Systems and Rehabilitation Engineering|
|Early online date||18 Nov 2019|
|Publication status||Published - 8 Jan 2020|
Bibliographical noteFunding 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.
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- Rapid serial visual presentation
- brain-computer interface
- event related potentials