A novel brain-computer interface based on the rapid serial visual presentation paradigm

Most present-day visual brain computer interfaces (BCIs) suffer from the fact that they rely on eye movements, are slow-paced, or feature a small vocabulary. As a potential remedy, we explored a novel BCI paradigm consisting of a central rapid serial visual presentation (RSVP) of the stimuli. It has a large vocabulary and realizes a BCI system based on covert non-spatial selective visual attention. In an offline study, eight participants were presented sequences of rapid bursts of symbols. Two different speeds and two different color conditions were investigated. Robust early visual and P300 components were elicited time-locked to the presentation of the target. Offline classification revealed a mean accuracy of up to 90% for selecting the correct symbol out of 30 possibilities. The results suggest that RSVP-BCI is a promising new paradigm, also for patients with oculomotor impairments.

[1]  Brendan Z Allison,et al.  Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: implications for a BCI system. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[2]  E. Donchin,et al.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.

[3]  B. Blankertz,et al.  (C)overt attention and visual speller design in an ERP-based brain-computer interface , 2010, Behavioral and Brain Functions.

[4]  Benjamin Blankertz,et al.  Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces , 2009, Int. J. Hum. Comput. Stud..

[5]  Andrew D. Straw,et al.  Vision Egg: an Open-Source Library for Realtime Visual Stimulus Generation , 2008, Frontiers Neuroinformatics.

[6]  B. Blankertz,et al.  A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue , 2010, PloS one.

[7]  Anne-Marie Brouwer,et al.  A tactile P 300 brain-computer interface , 2010 .

[8]  Jeff Miller,et al.  Distraction by color and its electrophysiological correlates. , 2009, Psychophysiology.

[9]  Jan B. F. van Erp,et al.  A Tactile P300 Brain-Computer Interface , 2010, Front. Neurosci..

[10]  Salil H. Patel,et al.  Characterization of N200 and P300: Selected Studies of the Event-Related Potential , 2005, International journal of medical sciences.

[11]  A. Engel,et al.  An independent brain–computer interface using covert non-spatial visual selective attention , 2010, Journal of neural engineering.

[12]  J.B.F. van Erp,et al.  A tactile P300 BCI and the optimal number of tactors : Effects of target probability and discriminability , 2008 .

[13]  Stefan Haufe,et al.  Single-trial analysis and classification of ERP components — A tutorial , 2011, NeuroImage.