A note on brain actuated spelling with the berlin brain-computer interface

Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith, Klaus Muller

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

61 Citations (Scopus)

Abstract

Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-tocomputer interaction are limited in several aspects, one major challenge in BCI research is intelligent front-end design. Here we present the mental text entry application 'Hex-o-Spell' which incorporates principles of Human-Computer Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth which operates with only two mental states, where the timing of the state changes encodes most of the information. The display is visually appealing, and control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world's largest IT fair) where two subjects operated the mental text entry system at a speed of up to 7.6 char/min.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages759-768
Number of pages10
Volume4555 LNCS
EditionPART 2
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4555 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
CountryChina
CityBeijing
Period07/7/2207/7/27

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Berlin
Brain
Text Entry
Display devices
Bandwidth
Computer applications
Trout
Computer Systems
Human computer interaction
Robust control
Display
Robustness (control systems)
Research
Decoding
Computer Applications
Feedback
Interaction
Timing

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Blankertz, B., Krauledat, M., Dornhege, G., Williamson, J., Murray-Smith, R., & Muller, K. (2007). A note on brain actuated spelling with the berlin brain-computer interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 4555 LNCS, pp. 759-768). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4555 LNCS, No. PART 2).

A note on brain actuated spelling with the berlin brain-computer interface. / Blankertz, Benjamin; Krauledat, Matthias; Dornhege, Guido; Williamson, John; Murray-Smith, Roderick; Muller, Klaus.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4555 LNCS PART 2. ed. 2007. p. 759-768 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4555 LNCS, No. PART 2).

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

Blankertz, B, Krauledat, M, Dornhege, G, Williamson, J, Murray-Smith, R & Muller, K 2007, A note on brain actuated spelling with the berlin brain-computer interface. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 4555 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4555 LNCS, pp. 759-768, 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007, Beijing, China, 07/7/22.
Blankertz B, Krauledat M, Dornhege G, Williamson J, Murray-Smith R, Muller K. A note on brain actuated spelling with the berlin brain-computer interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 4555 LNCS. 2007. p. 759-768. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
Blankertz, Benjamin ; Krauledat, Matthias ; Dornhege, Guido ; Williamson, John ; Murray-Smith, Roderick ; Muller, Klaus. / A note on brain actuated spelling with the berlin brain-computer interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4555 LNCS PART 2. ed. 2007. pp. 759-768 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
@inproceedings{13d394a5450849b7a94fef72965a8c7f,
title = "A note on brain actuated spelling with the berlin brain-computer interface",
abstract = "Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-tocomputer interaction are limited in several aspects, one major challenge in BCI research is intelligent front-end design. Here we present the mental text entry application 'Hex-o-Spell' which incorporates principles of Human-Computer Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth which operates with only two mental states, where the timing of the state changes encodes most of the information. The display is visually appealing, and control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world's largest IT fair) where two subjects operated the mental text entry system at a speed of up to 7.6 char/min.",
author = "Benjamin Blankertz and Matthias Krauledat and Guido Dornhege and John Williamson and Roderick Murray-Smith and Klaus Muller",
year = "2007",
month = "12",
day = "1",
language = "English",
isbn = "9783540732808",
volume = "4555 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "759--768",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 2",

}

TY - GEN

T1 - A note on brain actuated spelling with the berlin brain-computer interface

AU - Blankertz, Benjamin

AU - Krauledat, Matthias

AU - Dornhege, Guido

AU - Williamson, John

AU - Murray-Smith, Roderick

AU - Muller, Klaus

PY - 2007/12/1

Y1 - 2007/12/1

N2 - Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-tocomputer interaction are limited in several aspects, one major challenge in BCI research is intelligent front-end design. Here we present the mental text entry application 'Hex-o-Spell' which incorporates principles of Human-Computer Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth which operates with only two mental states, where the timing of the state changes encodes most of the information. The display is visually appealing, and control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world's largest IT fair) where two subjects operated the mental text entry system at a speed of up to 7.6 char/min.

AB - Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-tocomputer interaction are limited in several aspects, one major challenge in BCI research is intelligent front-end design. Here we present the mental text entry application 'Hex-o-Spell' which incorporates principles of Human-Computer Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth which operates with only two mental states, where the timing of the state changes encodes most of the information. The display is visually appealing, and control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world's largest IT fair) where two subjects operated the mental text entry system at a speed of up to 7.6 char/min.

UR - http://www.scopus.com/inward/record.url?scp=36549023606&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=36549023606&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:36549023606

SN - 9783540732808

VL - 4555 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 759

EP - 768

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -