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Event related potentials (ERP) corresponding to stimuli in electroencephalography (EEG) can be used to detect the intent of a person for brain computer interfaces (BCI). This paradigm is widely used to build letter-byletter text input systems using BCI. Nevertheless using a BCI-typewriter depending only on EEG responses will not be sufficiently accurate for single-trial operation in general, and existing systems utilize many-trial schemes to achieve accuracy at the cost of speed. | An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling KF Hildo TĨ Orhiin Tề FvdnoiTiiic R Rí ìíii lío R f liPT 0 P111 WÍH TĨ IKrpyiUTifin l i Fi ĩpd-í ềIíPiio . . Hild UJ. Kor ian . EidvgHius J. Roaik J. xOft-eii S. rui wai H. iNezaiii.ia.i ivr. Fried. KOk-eii Oregon Health and Science University Cognitive Systems Lab Northeastern University hildk roarkb oken friedm @ohsu.edu orhan erdogmus purwar nezamfar @ece.neu.edu Abstract Event related potentials ERP corresponding to stimuli in electroencephalography EEG can be used to detect the intent of a person for brain computer interfaces BCI . This paradigm is widely used to build letter-by-letter text input systems using BCI. Nevertheless using a BCI-typewriter depending only on EEG responses will not be sufficiently accurate for single-trial operation in general and existing systems utilize many-trial schemes to achieve accuracy at the cost of speed. Hence incorporation of a language model based prior or additional evidence is vital to improve accuracy and speed. In this demonstration we will present a BCI system for typing that integrates a stochastic language model with ERP classification to achieve speedups via the rapid serial visual presentation RSVP paradigm. 1 Introduction There exist a considerable number of people with severe motor and speech disabilities. Brain computer interfaces BCI are a potential technology to create a novel communication environment for this population especially persons with completely paralyzed voluntary muscles Wolpaw 2007 Pfurtscheller et al. 2000 . One possible application of BCI is typing systems specifically those BCI systems that use electroencephalography EEG have been increasingly studied in the recent decades to enable the selection of letters for expressive language generation Wolpaw 2007 Pfurtscheller et al. 2000 Treder and Blankertz 2010 . However the use of noninvasive techniques for letter-by-letter systems .