Predicting text entry for brain-computer interface

Saebyeok Lee, Heui Seok Lim

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

3 Citations (Scopus)

Abstract

A brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other devices. In other words, BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways consisting of nerve and muscles. This is particularly useful for facilitating communication for people are totally paralyzed. However, it is hard to practical use because low communication rate. Therefore, in this paper, we propose a method to speed up text entry in BCI using a statistical language model.

Original languageEnglish
Title of host publicationFuture Information Technology - 6th International Conference, FutureTech 2011, Proceedings
Pages309-312
Number of pages4
EditionPART 2
DOIs
Publication statusPublished - 2011 Jul 14
Event6th International Conference on Future Information Technology, FutureTech 2011 - Loutraki, Greece
Duration: 2011 Jun 282011 Jun 30

Publication series

NameCommunications in Computer and Information Science
NumberPART 2
Volume185 CCIS
ISSN (Print)1865-0929

Other

Other6th International Conference on Future Information Technology, FutureTech 2011
CountryGreece
CityLoutraki
Period11/6/2811/6/30

Keywords

  • Brain-Computer Interface
  • Predicting Text Entry

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Lee, S., & Lim, H. S. (2011). Predicting text entry for brain-computer interface. In Future Information Technology - 6th International Conference, FutureTech 2011, Proceedings (PART 2 ed., pp. 309-312). (Communications in Computer and Information Science; Vol. 185 CCIS, No. PART 2). https://doi.org/10.1007/978-3-642-22309-9_38