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How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs?
A brain-computer interface (BCI) translates brain signals into commands for the control of devices and for communication. BCIs enable persons with disabilities to communicate externally. Positive and negative affective sounds have been introduced to P300-based BCIs; however, how the degree of valenc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390079/ https://www.ncbi.nlm.nih.gov/pubmed/30837822 http://dx.doi.org/10.3389/fnins.2019.00045 |
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author | Onishi, Akinari Nakagawa, Seiji |
author_facet | Onishi, Akinari Nakagawa, Seiji |
author_sort | Onishi, Akinari |
collection | PubMed |
description | A brain-computer interface (BCI) translates brain signals into commands for the control of devices and for communication. BCIs enable persons with disabilities to communicate externally. Positive and negative affective sounds have been introduced to P300-based BCIs; however, how the degree of valence (e.g., very positive or positive) influences the BCI has not been investigated. To further examine the influence of affective sounds in P300-based BCIs, we applied sounds with five degrees of valence to the P300-based BCI. The sound valence ranged from very negative to very positive, as determined by Scheffe's method. The effect of sound valence on the BCI was evaluated by waveform analyses, followed by the evaluation of offline stimulus-wise classification accuracy. As a result, the late component of P300 showed significantly higher point-biserial correlation coefficients in response to very positive and very negative sounds than in response to the other sounds. The offline stimulus-wise classification accuracy was estimated from a region-of-interest. The analysis showed that the very negative sound achieved the highest accuracy and the very positive sound achieved the second highest accuracy, suggesting that the very positive sound and the very negative sound may be required to improve the accuracy. |
format | Online Article Text |
id | pubmed-6390079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63900792019-03-05 How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? Onishi, Akinari Nakagawa, Seiji Front Neurosci Neuroscience A brain-computer interface (BCI) translates brain signals into commands for the control of devices and for communication. BCIs enable persons with disabilities to communicate externally. Positive and negative affective sounds have been introduced to P300-based BCIs; however, how the degree of valence (e.g., very positive or positive) influences the BCI has not been investigated. To further examine the influence of affective sounds in P300-based BCIs, we applied sounds with five degrees of valence to the P300-based BCI. The sound valence ranged from very negative to very positive, as determined by Scheffe's method. The effect of sound valence on the BCI was evaluated by waveform analyses, followed by the evaluation of offline stimulus-wise classification accuracy. As a result, the late component of P300 showed significantly higher point-biserial correlation coefficients in response to very positive and very negative sounds than in response to the other sounds. The offline stimulus-wise classification accuracy was estimated from a region-of-interest. The analysis showed that the very negative sound achieved the highest accuracy and the very positive sound achieved the second highest accuracy, suggesting that the very positive sound and the very negative sound may be required to improve the accuracy. Frontiers Media S.A. 2019-02-19 /pmc/articles/PMC6390079/ /pubmed/30837822 http://dx.doi.org/10.3389/fnins.2019.00045 Text en Copyright © 2019 Onishi and Nakagawa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Onishi, Akinari Nakagawa, Seiji How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title | How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title_full | How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title_fullStr | How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title_full_unstemmed | How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title_short | How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs? |
title_sort | how does the degree of valence influence affective auditory p300-based bcis? |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390079/ https://www.ncbi.nlm.nih.gov/pubmed/30837822 http://dx.doi.org/10.3389/fnins.2019.00045 |
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