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

Shin'ichiro Kanoh; Ko Ichiro Miyamoto; Tatsuo Yoshinobu

doi:10.1299/jbse.5.32

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

Shin'ichiro Kanoh, Ko Ichiro Miyamoto, Tatsuo Yoshinobu

Research output: Contribution to journal › Article › peer-review

14 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 language	English
Pages (from-to)	32-40
Number of pages	9
Journal	Journal of Biomechanical Science and Engineering
Volume	5
Issue number	1
DOIs	https://doi.org/10.1299/jbse.5.32
Publication status	Published - 2010
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

Biomedical Engineering

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10.1299/jbse.5.32

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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.",

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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.

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KW - Event-related potential

KW - Pattern classification

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

Abstract

Keywords

ASJC Scopus subject areas

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