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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7139579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT aricopietro braincomputerinterfacestowardadailylifeemployment AT sciaraffanicolina braincomputerinterfacestowardadailylifeemployment AT babilonifabio braincomputerinterfacestowardadailylifeemployment |