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Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944670/ https://www.ncbi.nlm.nih.gov/pubmed/20877434 http://dx.doi.org/10.3389/fnins.2010.00161 |
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author | Millán, J. d. R. Rupp, R. Müller-Putz, G. R. Murray-Smith, R. Giugliemma, C. Tangermann, M. Vidaurre, C. Cincotti, F. Kübler, A. Leeb, R. Neuper, C. Müller, K.-R. Mattia, D. |
author_facet | Millán, J. d. R. Rupp, R. Müller-Putz, G. R. Murray-Smith, R. Giugliemma, C. Tangermann, M. Vidaurre, C. Cincotti, F. Kübler, A. Leeb, R. Neuper, C. Müller, K.-R. Mattia, D. |
author_sort | Millán, J. d. R. |
collection | PubMed |
description | In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-of-concept phase in the past, the time is now ripe to focus on the development of practical BCI technologies that can be brought out of the lab and into real-world applications. In particular, we focus on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT). In pursuit of more practical BCIs for use outside of the lab, in this paper, we identify four application areas where disabled individuals could greatly benefit from advancements in BCI technology, namely, “Communication and Control”, “Motor Substitution”, “Entertainment”, and “Motor Recovery”. We review the current state of the art and possible future developments, while discussing the main research issues in these four areas. In particular, we expect the most progress in the development of technologies such as hybrid BCI architectures, user–machine adaptation algorithms, the exploitation of users’ mental states for BCI reliability and confidence measures, the incorporation of principles in human–computer interaction (HCI) to improve BCI usability, and the development of novel BCI technology including better EEG devices. |
format | Text |
id | pubmed-2944670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-29446702010-09-27 Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges Millán, J. d. R. Rupp, R. Müller-Putz, G. R. Murray-Smith, R. Giugliemma, C. Tangermann, M. Vidaurre, C. Cincotti, F. Kübler, A. Leeb, R. Neuper, C. Müller, K.-R. Mattia, D. Front Neurosci Neuroscience In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-of-concept phase in the past, the time is now ripe to focus on the development of practical BCI technologies that can be brought out of the lab and into real-world applications. In particular, we focus on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT). In pursuit of more practical BCIs for use outside of the lab, in this paper, we identify four application areas where disabled individuals could greatly benefit from advancements in BCI technology, namely, “Communication and Control”, “Motor Substitution”, “Entertainment”, and “Motor Recovery”. We review the current state of the art and possible future developments, while discussing the main research issues in these four areas. In particular, we expect the most progress in the development of technologies such as hybrid BCI architectures, user–machine adaptation algorithms, the exploitation of users’ mental states for BCI reliability and confidence measures, the incorporation of principles in human–computer interaction (HCI) to improve BCI usability, and the development of novel BCI technology including better EEG devices. Frontiers Research Foundation 2010-09-07 /pmc/articles/PMC2944670/ /pubmed/20877434 http://dx.doi.org/10.3389/fnins.2010.00161 Text en Copyright © 2010 Millán, Rupp, Müller-Putz, Murray-Smith, Giugliemma, Tangermann, Vidaurre, Cincotti, Kübler, Leeb, Neuper, Müller and Mattia. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Millán, J. d. R. Rupp, R. Müller-Putz, G. R. Murray-Smith, R. Giugliemma, C. Tangermann, M. Vidaurre, C. Cincotti, F. Kübler, A. Leeb, R. Neuper, C. Müller, K.-R. Mattia, D. Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges |
title | Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
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title_full | Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
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title_fullStr | Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
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title_full_unstemmed | Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
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title_short | Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
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title_sort | combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944670/ https://www.ncbi.nlm.nih.gov/pubmed/20877434 http://dx.doi.org/10.3389/fnins.2010.00161 |
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