A brain-computer interface (BCI) system based on auditory stream segregation

Shinichiro Kanoh, Ko Ichiro Miyamoto, Tatsuo Yoshinobu

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

An auditory brain-computer interface (BCI) which detects event-related potentials (ERPs) elicited by selective attention to one of the tone streams was proposed. Two frequency oddball tone sequences with different tone frequency ranges were alternately presented to subjects, and were perceived by subjects as two kinds of segregated streams. Event-related potentials elicited by two kinds of deviant tones were classified by linear discriminant analysis (LDA) to find the stream subjects paid selective attention to. Experiments with six subjects have shown that this system could realize binary selection from two tone streams.

Original languageEnglish
Pages (from-to)32-40
Number of pages9
JournalJournal of Biomechanical Science and Engineering
Volume5
Issue number1
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

Brain computer interface
Discriminant analysis
Experiments

Keywords

  • Auditory stream segregation
  • Brain-computer interface (BCI)
  • Event-related potential
  • Pattern classification
  • Selective attention

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

A brain-computer interface (BCI) system based on auditory stream segregation. / Kanoh, Shinichiro; Miyamoto, Ko Ichiro; Yoshinobu, Tatsuo.

In: Journal of Biomechanical Science and Engineering, Vol. 5, No. 1, 2010, p. 32-40.

Research output: Contribution to journalArticle

@article{e136a24b28a0415f8cb8a064750623ab,
title = "A brain-computer interface (BCI) system based on auditory stream segregation",
abstract = "An auditory brain-computer interface (BCI) which detects event-related potentials (ERPs) elicited by selective attention to one of the tone streams was proposed. Two frequency oddball tone sequences with different tone frequency ranges were alternately presented to subjects, and were perceived by subjects as two kinds of segregated streams. Event-related potentials elicited by two kinds of deviant tones were classified by linear discriminant analysis (LDA) to find the stream subjects paid selective attention to. Experiments with six subjects have shown that this system could realize binary selection from two tone streams.",
keywords = "Auditory stream segregation, Brain-computer interface (BCI), Event-related potential, Pattern classification, Selective attention",
author = "Shinichiro Kanoh and Miyamoto, {Ko Ichiro} and Tatsuo Yoshinobu",
year = "2010",
doi = "10.1299/jbse.5.32",
language = "English",
volume = "5",
pages = "32--40",
journal = "Journal of Biomechanical Science and Engineering",
issn = "1880-9863",
publisher = "Japan Society of Mechanical Engineers",
number = "1",

}

TY - JOUR

T1 - A brain-computer interface (BCI) system based on auditory stream segregation

AU - Kanoh, Shinichiro

AU - Miyamoto, Ko Ichiro

AU - Yoshinobu, Tatsuo

PY - 2010

Y1 - 2010

N2 - An auditory brain-computer interface (BCI) which detects event-related potentials (ERPs) elicited by selective attention to one of the tone streams was proposed. Two frequency oddball tone sequences with different tone frequency ranges were alternately presented to subjects, and were perceived by subjects as two kinds of segregated streams. Event-related potentials elicited by two kinds of deviant tones were classified by linear discriminant analysis (LDA) to find the stream subjects paid selective attention to. Experiments with six subjects have shown that this system could realize binary selection from two tone streams.

AB - An auditory brain-computer interface (BCI) which detects event-related potentials (ERPs) elicited by selective attention to one of the tone streams was proposed. Two frequency oddball tone sequences with different tone frequency ranges were alternately presented to subjects, and were perceived by subjects as two kinds of segregated streams. Event-related potentials elicited by two kinds of deviant tones were classified by linear discriminant analysis (LDA) to find the stream subjects paid selective attention to. Experiments with six subjects have shown that this system could realize binary selection from two tone streams.

KW - Auditory stream segregation

KW - Brain-computer interface (BCI)

KW - Event-related potential

KW - Pattern classification

KW - Selective attention

UR - http://www.scopus.com/inward/record.url?scp=78651590567&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78651590567&partnerID=8YFLogxK

U2 - 10.1299/jbse.5.32

DO - 10.1299/jbse.5.32

M3 - Article

AN - SCOPUS:78651590567

VL - 5

SP - 32

EP - 40

JO - Journal of Biomechanical Science and Engineering

JF - Journal of Biomechanical Science and Engineering

SN - 1880-9863

IS - 1

ER -