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 publicationCommunications in Computer and Information Science
Pages309-312
Number of pages4
Volume185 CCIS
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)18650929

Other

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

Fingerprint

Brain computer interface
Brain
Communication
Muscle
Communication systems

Keywords

  • Brain-Computer Interface
  • Predicting Text Entry

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Lee, S., & Lim, H. S. (2011). Predicting text entry for brain-computer interface. In Communications in Computer and Information Science (PART 2 ed., Vol. 185 CCIS, 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

Predicting text entry for brain-computer interface. / Lee, Saebyeok; Lim, Heui Seok.

Communications in Computer and Information Science. Vol. 185 CCIS PART 2. ed. 2011. p. 309-312 (Communications in Computer and Information Science; Vol. 185 CCIS, No. PART 2).

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

Lee, S & Lim, HS 2011, Predicting text entry for brain-computer interface. in Communications in Computer and Information Science. PART 2 edn, vol. 185 CCIS, Communications in Computer and Information Science, no. PART 2, vol. 185 CCIS, pp. 309-312, 6th International Conference on Future Information Technology, FutureTech 2011, Loutraki, Greece, 11/6/28. https://doi.org/10.1007/978-3-642-22309-9_38
Lee S, Lim HS. Predicting text entry for brain-computer interface. In Communications in Computer and Information Science. PART 2 ed. Vol. 185 CCIS. 2011. p. 309-312. (Communications in Computer and Information Science; PART 2). https://doi.org/10.1007/978-3-642-22309-9_38
Lee, Saebyeok ; Lim, Heui Seok. / Predicting text entry for brain-computer interface. Communications in Computer and Information Science. Vol. 185 CCIS PART 2. ed. 2011. pp. 309-312 (Communications in Computer and Information Science; PART 2).
@inproceedings{69f864ccdf6a4d048f3de773bf3970a7,
title = "Predicting text entry for brain-computer interface",
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.",
keywords = "Brain-Computer Interface, Predicting Text Entry",
author = "Saebyeok Lee and Lim, {Heui Seok}",
year = "2011",
month = "7",
day = "14",
doi = "10.1007/978-3-642-22309-9_38",
language = "English",
isbn = "9783642223082",
volume = "185 CCIS",
series = "Communications in Computer and Information Science",
number = "PART 2",
pages = "309--312",
booktitle = "Communications in Computer and Information Science",
edition = "PART 2",

}

TY - GEN

T1 - Predicting text entry for brain-computer interface

AU - Lee, Saebyeok

AU - Lim, Heui Seok

PY - 2011/7/14

Y1 - 2011/7/14

N2 - 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.

AB - 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.

KW - Brain-Computer Interface

KW - Predicting Text Entry

UR - http://www.scopus.com/inward/record.url?scp=79960139286&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960139286&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-22309-9_38

DO - 10.1007/978-3-642-22309-9_38

M3 - Conference contribution

AN - SCOPUS:79960139286

SN - 9783642223082

VL - 185 CCIS

T3 - Communications in Computer and Information Science

SP - 309

EP - 312

BT - Communications in Computer and Information Science

ER -