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Communication is a critical human function that can be severely compromised in patients with neurological diseases such as amyotrophic lateral sclerosis (ALS). The P300 speller is a brain-computer interface (BCI) device that restores communication in these patients by detecting evoked responses in subjects’ electroencephalography signals. One of the bottlenecks of these systems is the pause after character selections. This pause has been necessary for the P300 speller because it signals users that a character selection has been made and gives them time to transition to the next character. If this pause is too long, the system is slowed down unnecessarily. If it is too short, stimuli for the next character begin before the user is ready. We propose a system that does away with the pause entirely and continually flashes stimuli. We employ a joint model that determines the target characters as well as the transition times so that users can change between characters at their own pace. A preliminary study on eight subjects showed a selection rate of 16.35 characters/minute and an average accuracy of 94.85%, both significant improvements over performance in an equivalent system with standard flashing. These results suggest that the P300 speller could be improved by implementing a continuous flashing paradigm.

A Self-Paced P300 speller with Improved Typing Speed using continuous stimulus Presentations.