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Brain–Computer Interfaces: Toward a Daily Life Employment

Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end...

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Detalles Bibliográficos
Autores principales: Aricò, Pietro, Sciaraffa, Nicolina, Babiloni, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139579/
https://www.ncbi.nlm.nih.gov/pubmed/32182818
http://dx.doi.org/10.3390/brainsci10030157
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author Aricò, Pietro
Sciaraffa, Nicolina
Babiloni, Fabio
author_facet Aricò, Pietro
Sciaraffa, Nicolina
Babiloni, Fabio
author_sort Aricò, Pietro
collection PubMed
description Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end graphical user interfaces, back-end classification algorithms, and technology improvement in terms of wearable devices and dry EEG sensors. This editorial paper aims at mentioning these aspects, starting from the review paper “Brain–Computer Interface Spellers: A Review” (Rezeika et al., 2018), published within the Brain Sciences journal, and citing other relevant review papers that discussed these points.
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spelling pubmed-71395792020-04-10 Brain–Computer Interfaces: Toward a Daily Life Employment Aricò, Pietro Sciaraffa, Nicolina Babiloni, Fabio Brain Sci Editorial Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end graphical user interfaces, back-end classification algorithms, and technology improvement in terms of wearable devices and dry EEG sensors. This editorial paper aims at mentioning these aspects, starting from the review paper “Brain–Computer Interface Spellers: A Review” (Rezeika et al., 2018), published within the Brain Sciences journal, and citing other relevant review papers that discussed these points. MDPI 2020-03-09 /pmc/articles/PMC7139579/ /pubmed/32182818 http://dx.doi.org/10.3390/brainsci10030157 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Aricò, Pietro
Sciaraffa, Nicolina
Babiloni, Fabio
Brain–Computer Interfaces: Toward a Daily Life Employment
title Brain–Computer Interfaces: Toward a Daily Life Employment
title_full Brain–Computer Interfaces: Toward a Daily Life Employment
title_fullStr Brain–Computer Interfaces: Toward a Daily Life Employment
title_full_unstemmed Brain–Computer Interfaces: Toward a Daily Life Employment
title_short Brain–Computer Interfaces: Toward a Daily Life Employment
title_sort brain–computer interfaces: toward a daily life employment
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139579/
https://www.ncbi.nlm.nih.gov/pubmed/32182818
http://dx.doi.org/10.3390/brainsci10030157
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