<ul><li>This work focuses on improving the Rapid Serial Visual Presentation (RSVP) typing task in Brain-Computer Interfaces (BCIs) using noninvasive electroencephalography (EEG).</li><li>The proposed approach, MarkovType, incorporates a Partially Observable Markov Decision Process (POMDP) to achieve better accuracy in symbol classification while controlling the classification speed.</li><li>MarkovType is the first work to formulate the RSVP typing task as a POMDP for recursive classification.</li><li>Experiments show that MarkovType outperforms competitors, achieving a more accurate and balanced typing system.</li></ul>

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems

Discover more