Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.

The auditory Brain-Computer Interface (BCI) using electroencephalograms (EEG) is a subject of intensive study. As a cue, auditory BCIs can deal with many of the characteristics of stimuli such as tone, pitch, and voices. Spatial information on auditory stimuli also provides useful information for a...

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Autores principales:	Isao Nambu, Masashi Ebisawa, Masumi Kogure, Shohei Yano, Haruhide Hokari, Yasuhiro Wada
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/441279ffc4df41879e9ee8478e96e5ff
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spelling	oai:doaj.org-article:441279ffc4df41879e9ee8478e96e5ff2021-11-18T07:56:41ZEstimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.1932-620310.1371/journal.pone.0057174https://doaj.org/article/441279ffc4df41879e9ee8478e96e5ff2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23437338/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The auditory Brain-Computer Interface (BCI) using electroencephalograms (EEG) is a subject of intensive study. As a cue, auditory BCIs can deal with many of the characteristics of stimuli such as tone, pitch, and voices. Spatial information on auditory stimuli also provides useful information for a BCI. However, in a portable system, virtual auditory stimuli have to be presented spatially through earphones or headphones, instead of loudspeakers. We investigated the possibility of an auditory BCI using the out-of-head sound localization technique, which enables us to present virtual auditory stimuli to users from any direction, through earphones. The feasibility of a BCI using this technique was evaluated in an EEG oddball experiment and offline analysis. A virtual auditory stimulus was presented to the subject from one of six directions. Using a support vector machine, we were able to classify whether the subject attended the direction of a presented stimulus from EEG signals. The mean accuracy across subjects was 70.0% in the single-trial classification. When we used trial-averaged EEG signals as inputs to the classifier, the mean accuracy across seven subjects reached 89.5% (for 10-trial averaging). Further analysis showed that the P300 event-related potential responses from 200 to 500 ms in central and posterior regions of the brain contributed to the classification. In comparison with the results obtained from a loudspeaker experiment, we confirmed that stimulus presentation by out-of-head sound localization achieved similar event-related potential responses and classification performances. These results suggest that out-of-head sound localization enables us to provide a high-performance and loudspeaker-less portable BCI system.Isao NambuMasashi EbisawaMasumi KogureShohei YanoHaruhide HokariYasuhiro WadaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 2, p e57174 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Isao Nambu Masashi Ebisawa Masumi Kogure Shohei Yano Haruhide Hokari Yasuhiro Wada Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
description	The auditory Brain-Computer Interface (BCI) using electroencephalograms (EEG) is a subject of intensive study. As a cue, auditory BCIs can deal with many of the characteristics of stimuli such as tone, pitch, and voices. Spatial information on auditory stimuli also provides useful information for a BCI. However, in a portable system, virtual auditory stimuli have to be presented spatially through earphones or headphones, instead of loudspeakers. We investigated the possibility of an auditory BCI using the out-of-head sound localization technique, which enables us to present virtual auditory stimuli to users from any direction, through earphones. The feasibility of a BCI using this technique was evaluated in an EEG oddball experiment and offline analysis. A virtual auditory stimulus was presented to the subject from one of six directions. Using a support vector machine, we were able to classify whether the subject attended the direction of a presented stimulus from EEG signals. The mean accuracy across subjects was 70.0% in the single-trial classification. When we used trial-averaged EEG signals as inputs to the classifier, the mean accuracy across seven subjects reached 89.5% (for 10-trial averaging). Further analysis showed that the P300 event-related potential responses from 200 to 500 ms in central and posterior regions of the brain contributed to the classification. In comparison with the results obtained from a loudspeaker experiment, we confirmed that stimulus presentation by out-of-head sound localization achieved similar event-related potential responses and classification performances. These results suggest that out-of-head sound localization enables us to provide a high-performance and loudspeaker-less portable BCI system.
format	article
author	Isao Nambu Masashi Ebisawa Masumi Kogure Shohei Yano Haruhide Hokari Yasuhiro Wada
author_facet	Isao Nambu Masashi Ebisawa Masumi Kogure Shohei Yano Haruhide Hokari Yasuhiro Wada
author_sort	Isao Nambu
title	Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
title_short	Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
title_full	Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
title_fullStr	Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
title_full_unstemmed	Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
title_sort	estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/441279ffc4df41879e9ee8478e96e5ff
work_keys_str_mv	AT isaonambu estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization AT masashiebisawa estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization AT masumikogure estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization AT shoheiyano estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization AT haruhidehokari estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization AT yasuhirowada estimatingtheintendedsounddirectionoftheusertowardanauditorybraincomputerinterfaceusingoutofheadsoundlocalization
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Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.

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