An ERP-based brain-computer interface for text entry using rapid serial visual presentation and language modeling

K. E. Hild, U. Orhan, D. Erdogmus, B. Roark, B. Oken, S. Purwar, H. Nezamfar, M. Fried-Oken

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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-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. 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.

Original languageEnglish (US)
Title of host publicationACL HLT 2011 - 49th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, Proceedings of Student Session
Pages38-43
Number of pages6
StatePublished - 2011
Event49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011 - Portland, OR, United States
Duration: Jun 19 2011Jun 24 2011

Publication series

NameACL HLT 2011 - 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of Student Session

Other

Other49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011
Country/TerritoryUnited States
CityPortland, OR
Period6/19/116/24/11

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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