Brain-operated typewriter using the language prediction model

Saebyeok Lee, Heui Seok Lim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A brain-computer interface (BCI) is a communication system that translates brain activity into commands for computers 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 nerves and muscles. This is particularly useful for facilitating communication for people suffering from paralysis. Due to the low bit rate, it takes much more time to translate brain activity into commands. Especially it takes much time to input characters by using BCI-based typewriters. In this paper, we propose a brain-operated typewriter which is accelerated by a language prediction model. The proposed system uses three kinds of strategies to improve the entry speed: word completion, next-syllable prediction, and next word prediction. We found that the entry speed of BCI-based typewriter improved about twice as much through our demonstration which utilized the language prediction model.

Original languageEnglish
Pages (from-to)1770-1782
Number of pages13
JournalKSII Transactions on Internet and Information Systems
Volume5
Issue number10
DOIs
Publication statusPublished - 2011 Oct 31

Fingerprint

Typewriters
Brain computer interface
Brain
Muscle
Communication systems
Demonstrations
Communication

Keywords

  • Brain-computer interface
  • Korean typewriter
  • Language prediction model

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Brain-operated typewriter using the language prediction model. / Lee, Saebyeok; Lim, Heui Seok.

In: KSII Transactions on Internet and Information Systems, Vol. 5, No. 10, 31.10.2011, p. 1770-1782.

Research output: Contribution to journalArticle

@article{d7b5783f59334bb98aa896e22412d865,
title = "Brain-operated typewriter using the language prediction model",
abstract = "A brain-computer interface (BCI) is a communication system that translates brain activity into commands for computers 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 nerves and muscles. This is particularly useful for facilitating communication for people suffering from paralysis. Due to the low bit rate, it takes much more time to translate brain activity into commands. Especially it takes much time to input characters by using BCI-based typewriters. In this paper, we propose a brain-operated typewriter which is accelerated by a language prediction model. The proposed system uses three kinds of strategies to improve the entry speed: word completion, next-syllable prediction, and next word prediction. We found that the entry speed of BCI-based typewriter improved about twice as much through our demonstration which utilized the language prediction model.",
keywords = "Brain-computer interface, Korean typewriter, Language prediction model",
author = "Saebyeok Lee and Lim, {Heui Seok}",
year = "2011",
month = "10",
day = "31",
doi = "10.3837/tiis.2011.10.005",
language = "English",
volume = "5",
pages = "1770--1782",
journal = "KSII Transactions on Internet and Information Systems",
issn = "1976-7277",
publisher = "Korea Society of Internet Information",
number = "10",

}

TY - JOUR

T1 - Brain-operated typewriter using the language prediction model

AU - Lee, Saebyeok

AU - Lim, Heui Seok

PY - 2011/10/31

Y1 - 2011/10/31

N2 - A brain-computer interface (BCI) is a communication system that translates brain activity into commands for computers 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 nerves and muscles. This is particularly useful for facilitating communication for people suffering from paralysis. Due to the low bit rate, it takes much more time to translate brain activity into commands. Especially it takes much time to input characters by using BCI-based typewriters. In this paper, we propose a brain-operated typewriter which is accelerated by a language prediction model. The proposed system uses three kinds of strategies to improve the entry speed: word completion, next-syllable prediction, and next word prediction. We found that the entry speed of BCI-based typewriter improved about twice as much through our demonstration which utilized the language prediction model.

AB - A brain-computer interface (BCI) is a communication system that translates brain activity into commands for computers 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 nerves and muscles. This is particularly useful for facilitating communication for people suffering from paralysis. Due to the low bit rate, it takes much more time to translate brain activity into commands. Especially it takes much time to input characters by using BCI-based typewriters. In this paper, we propose a brain-operated typewriter which is accelerated by a language prediction model. The proposed system uses three kinds of strategies to improve the entry speed: word completion, next-syllable prediction, and next word prediction. We found that the entry speed of BCI-based typewriter improved about twice as much through our demonstration which utilized the language prediction model.

KW - Brain-computer interface

KW - Korean typewriter

KW - Language prediction model

UR - http://www.scopus.com/inward/record.url?scp=80355147847&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80355147847&partnerID=8YFLogxK

U2 - 10.3837/tiis.2011.10.005

DO - 10.3837/tiis.2011.10.005

M3 - Article

AN - SCOPUS:80355147847

VL - 5

SP - 1770

EP - 1782

JO - KSII Transactions on Internet and Information Systems

JF - KSII Transactions on Internet and Information Systems

SN - 1976-7277

IS - 10

ER -